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ORCIDCoRR, September 2021
- Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
Working Memory Connections for LSTM. - Samantha D'Alonzo, Max Tegmark:
Machine-Learning media bias. - Jéssica Rodrigues da Silva, Helena de Medeiros Caseli:
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models. - Daniella Bar-Lev, Itai Orr, Omer Sabary, Tuvi Etzion, Eitan Yaakobi:
Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning. - Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi:
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. - Matjaz Krnc, Nevena Pivac:
Graphs where Search Methods are Indistinguishable. - Mees van de Kerkhof, Irina Kostitsyna, Maarten Löffler:
Embedding Ray Intersection Graphs and Global Curve Simplification. - Vinicius dos Santos, Anderson Yoshiaki Iwazaki, Kátia Romero Felizardo, Érica Ferreira de Souza, Elisa Yumi Nakagawa:
Towards Sustainability of Systematic Literature Reviews. - Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. - Guangyu Du, Lei Dong, Fabio Duarte, Carlo Ratti:
Wanderlust: 3D Impressionism in Human Journeys. - Alec J. Linot, Michael D. Graham:
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations. - Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, Charles L. A. Clarke:
Shallow pooling for sparse labels. - Maxine Major, Brian Souza, Joseph DiVita, Kimberly Ferguson-Walter:
Informing Autonomous Deception Systems with Cyber Expert Performance Data. - Olivia Eriksson, Andrei Kramer, Federica Milinanni, Pierre Nyquist:
Sensitivity Approximation by the Peano-Baker Series. - Chantal Mutimukwe
, Jean Damascene Twizeyimana, Olga Viberg:
Students' Information Privacy Concerns in Learning Analytics: Towards a Model Development. - Ulrich A. Brodowsky, Stefan Hougardy, Xianghui Zhong:
The Approximation Ratio of the k-Opt Heuristic for the Euclidean Traveling Salesman Problem. - Soumyendu Sarkar:
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture. - Xingdi Yuan:
Interactive Machine Comprehension with Dynamic Knowledge Graphs. - Nathaniel Kell, Kevin Sun:
Primal-Dual Algorithms for Indivisible Concave Allocation with Bounded Local Curvature. - Jan Kopanski, Krzysztof Rzadca:
Plan-based Job Scheduling for Supercomputers with Shared Burst Buffers. - Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. - Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science : Interpreting Figurative Language in Narratives. - Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister:
Quantized convolutional neural networks through the lens of partial differential equations. - Tobias Fischer:
Bio-inspired robot perception coupled with robot-modeled human perception. - Youssef Elkharaz, Saad Motahhir, Abdelaziz El Ghzizal:
Comparison between autosar platforms with functional safety for automotive software architectures. - Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. - Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals. - Ramin Nateghi, Fattaneh Pourakpour:
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images. - Kunhao Zheng, Jesse Michael Han, Stanislas Polu:
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics. - Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomír Mech, Tamy Boubekeur, Niloy J. Mitra:
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds. - Keumgang Cha, Junghoon Seo, Yeji Choi:
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation. - Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Kenneth Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. - Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Wu Zhang, Zhisong Pan:
DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors. - Qipin Chen, Wenrui Hao, Juncai He:
A Weight Initialization Based on the Linear Product Structure for Neural Networks. - Mohammadamin Atashi, Mohammad Salimibeni, Arash Mohammadi:
Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization. - Mark K. Ho, Thomas L. Griffiths:
Cognitive science as a source of forward and inverse models of human decisions for robotics and control. - Yuanyi Sun, Sencun Zhu, Yao Zhao, Pengfei Sun:
Let Your Camera See for You: A Novel Two-Factor Authentication Method against Real-Time Phishing Attacks. - Zeyu Ding, Shogo Yoshida, Toby Chong, Tsukasa Fukusato, Takuma Torii, Haoran Xie:
AugLimb: Compact Robotic Limb for Human Augmentation. - Gongsheng Yuan, Jiaheng Lu, Peifeng Su:
Quantum-Inspired Keyword Search on Multi-Model Databases. - Gongsheng Yuan, Jiaheng Lu:
MORTAL: A Tool of Automatically Designing Relational Storage Schemas for Multi-model Data through Reinforcement Learning. - Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. - Fengbin Zhang, Haoyi Fan, Ruidong Wang, Zuoyong Li, Tiancai Liang:
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks. - Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan:
Storing Multi-model Data in RDBMSs based on Reinforcement Learning. - Ozgenur Kavas-Torris, Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun Güvenç, Levent Güvenç:
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs). - Keran Ye, Konstantinos Karydis:
Modeling and Trajectory Optimization for Standing Long Jumping of a Quadruped with A Preloaded Elastic Prismatic Spine. - Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison:
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning. - Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. - Baihua Shi, Qijuan Jie, Feng Shu, Zhihong Zhuang, Siling Feng, Yijin Zhang, Jiangzhou Wang:
DOA Estimation Using Massive Receive MIMO: Basic Principles, Key Techniques, Performance Analysis, and Applications. - Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup:
A Survey of Exploration Methods in Reinforcement Learning. - Sean Y. Hon, Haizhao Yang:
Simultaneous Neural Network Approximations in Sobolev Spaces. - Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces. - Xinyu Lu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu:
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages. - Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
Architecture Aware Latency Constrained Sparse Neural Networks. - Biyang Guo, Songqiao Han, Hailiang Huang:
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification. - Yongfeng Zhang:
Problem Learning: Towards the Free Will of Machines. - Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu:
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. - Chenyang Le, Jiebin Yan, Yuming Fang, Kede Ma:
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping. - Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu:
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Haiping Wang, Yuan Liu, Zhen Dong, Wenping Wang, Bisheng Yang:
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors. - Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos, Evangelos A. Theodorou:
Deep L1 Stochastic Optimal Control Policies for Planetary Soft-landing. - Liyan Xu, Jinho D. Choi:
Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues. - Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi:
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset. - Anuj Dubey, Rosario Cammarota, Vikram B. Suresh, Aydin Aysu:
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. - Juncai He, Lin Li, Jinchao Xu:
Approximation Properties of Deep ReLU CNNs. - Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. - Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger:
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses. - Benzar Glen Grepon, Niño T. Baran, Kenn Migan Vincent C. Gumonan, Aldwin Lester M. Martinez, Mona Liel E. Lacsa:
Designing and Implementing e-School Systems: An Information Systems Approach to School Management of a Community College in Northern Mindanao, Philippines. - Jennifer D'Souza, Sören Auer:
Pattern-based Acquisition of Scientific Entities from Scholarly Article Titles. - Ziqi Chai, Xiaoyu Shi, Yan Zhou, Zhenhua Xiong:
A real-time global re-localization framework for 3D LiDAR SLAM. - Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia:
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification. - Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung:
Federated Learning: Issues in Medical Application. - Pankaj Mishra, Ahmed Moustafa, Takayuki Ito:
Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets. - Ze Huang, Songzhi Su, Henry Zhang, Kevin Li Sun:
EventPoint: Self-Supervised Local Descriptor Learning for Event Cameras. - Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. - Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian:
Multi-Sample based Contrastive Loss for Top-k Recommendation. - Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato:
Spatio-Temporal Perturbations for Video Attribution. - MaungMaung AprilPyone, Hitoshi Kiya:
A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access. - Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Kayalvizhi Sampath, Durairaj Thenmozhi, Sathiyaraj Thangasamy, Rajendran Nallathambi, John Philip McCrae:
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments. - Zhiqiang Tyler Qi, Adrián Lahuerta-Lavieja, Jingya Li, Keerthi Kumar Nagalapur:
Deployable Networks for Public Safety in 5G and Beyond: A Coverage and Interference Study. - Pengcheng Xia, Haoyu Wang, Bingyu Gao, Weihang Su, Zhou Yu, Xiapu Luo, Chao Zhang, Xusheng Xiao, Guoai Xu:
Demystifying Scam Tokens on Uniswap Decentralized Exchange. - Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. - Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger:
Complexity Measures for Multi-objective Symbolic Regression. - Paolo Tirotta, Stefano Lodi:
OptAGAN: Entropy-based finetuning on text VAE-GAN. - He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling:
Joint Graph Learning and Matching for Semantic Feature Correspondence. - Pudong Ge, Fei Teng, Charalambos Konstantinou, Shiyan Hu:
A Resilience-Oriented Centralised-to-Decentralised Framework for Networked Microgrids Management. - Jixiang Zhang, Yinfei Xu:
On Age of Information for Discrete Time Status Updating System With Ber/G/1/1 Queues. - Nuri Benbarka, Timon Höfer, Hamd ul Moqeet Riaz, Andreas Zell:
Seeing Implicit Neural Representations as Fourier Series. - Liang Wang, Wei Zhao, Jingming Liu:
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast. - Tapan K. Sengupta, V. K. Suman, Prasannabalaji Sundaram, Aditi Sengupta:
Analysis of pseudo-spectral methods used for numerical simulation of turbulence. - Lingmei Bu, Li Chen, Yongmei Lu, Zhonghua Yu:
Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach. - Chang Sun, Serge Richard, Takemasa Miyoshi:
Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo. - Shenghua Hu, Jing Wang, Yujun Wang, Lidong Yang, Wenjing Yang:
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting. - Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. - Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers:
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. - Pierre Marion, Pawel Krzysztof Nowak, Francesco Piccinno:
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. - Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. - Pietro Liguori, Erfan Al-Hossami, Vittorio Orbinato, Roberto Natella, Samira Shaikh, Domenico Cotroneo, Bojan Cukic:
EVIL: Exploiting Software via Natural Language. - Jean-François Bonastre, Héctor Delgado, Nicholas W. D. Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Paul-Gauthier Noé, Jose Patino, Md. Sahidullah, Brij Mohan Lal Srivastava, Massimiliano Todisco, Natalia A. Tomashenko, Emmanuel Vincent, Xin Wang, Junichi Yamagishi:
Benchmarking and challenges in security and privacy for voice biometrics. - Elias Alevizos, Alexander Artikis, Georgios Paliouras:
Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report. - Siang-Yun Lee, Heinz Riener, Giovanni De Micheli:
Irredundant Buffer and Splitter Insertion and Scheduling-Based Optimization for AQFP Circuits. - Martin Haug, Felix Lorenz, Lauritz Thamsen:
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. - Omid Shokrollahi, Niloofar Hashemi, Mohammad Dehghani:
Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing. - Huaxun Huang, Ming Wen, Lili Wei, Yepang Liu, Shing-Chi Cheung:
Characterizing and Detecting Configuration Compatibility Issues in Android Apps. - Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
∞-former: Infinite Memory Transformer. - Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, Marian-Andrei Rizoiu:
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. - Daniel Westerman Spier, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt, Joaquim López-Mestre:
Analytic estimation of the MMC sub-module capacitor voltage ripple for balanced and unbalanced AC grid conditions. - Tsubasa Shoshi, Takuma Ishikawa, Naoki Kobayashi, Ken Sakayori, Ryosuke Sato, Takeshi Tsukada:
Termination Analysis for the π-Calculus by Reduction to Sequential Program Termination. - Lun Luo, Si-Yuan Cao, Bin Han, Hui-Liang Shen, Junwei Li:
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images. - Jeroen Paul Spaans:
Intrinsic Argument Strength in Structured Argumentation: a Principled Approach. - Shangbei Wang:
Concurrent matching logic. - Shuai Ma, Yunqi Zhang, Hang Li, Junchang Sun, Jia Shi, Han Zhang, Chao Shen, Shiyin Li:
Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks. - Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon:
Category-Level Metric Scale Object Shape and Pose Estimation. - Xiaomeng Xin, Yiran Zhong, Yunzhong Hou, Jinjun Wang, Liang Zheng:
Memory-Free Generative Replay For Class-Incremental Learning. - Arsha Sherly, Wolfgang Bock:
Multipatch ZIKV Model and Simulations. - Liyan Chen, Samuel Cheng, Vladimir Stankovic, Lina Stankovic:
How likely is a random graph shift-enabled? - Viswa Narayanan Sankaranarayanan:
Adaptive Controllers for Quadrotors Carrying Unknown Payloads. - Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua:
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. - Shiva Oswal:
The Popularity-Homophily Index: A new way to measure Homophily in Directed Graphs. - Bingcheng Zhu, Zaichen Zhang, Julian Cheng, Lei Wang, Jian Dang, Liang Wu:
Outage Analysis and Beamwidth Optimization for Positioning-Assisted Beamforming. - Evan Calabrese, Javier E. Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas, John Mongan, Christopher Hess, Soonmee Cha:
The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset. - Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. - Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. - Shadab Mahboob, Koushik Kar, Jacob Chakareski:
Decentralized Collaborative Video Caching in 5G Small-Cell Base Station Cellular Networks. - Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang:
Memory Based Video Scene Parsing. - Federico Franzoni, Vanesa Daza:
Clover: an Anonymous Transaction Relay Protocol for the Bitcoin P2P Network. - Yinfei Xu, Guojun Chen:
New Proofs of Extremal Inequalities With Applications. - Mudita Sharma, Tony Russell-Rose, Lina Barakat, Akitaka Matsuo:
Building a Legal Dialogue System: Development Process, Challenges and Opportunities. - Christian Antic:
Boolean proportions. - Marin Bougeret, Jérémy Omer, Michael Poss:
Optimization problems in graphs with locational uncertainty. - Cédric Foy, Antoine Deleforge, Diego Di Carlo:
Mean absorption estimation from room impulse responses using virtually supervised learning. - Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia:
The Internet with Privacy Policies: Measuring The Web Upon Consent. - Kengo Miyamoto, Kazumasa Shinagawa:
Graph Automorphism Shuffles from Pile-Scramble Shuffles. - Chaofan Shou, Ismet Burak Kadron, Qi Su, Tevfik Bultan:
CorbFuzz: Checking Browser Security Policies with Fuzzing. - Diogo A. P. Nunes, David Martins de Matos, Joana Ferreira-Gomes, Fani Neto:
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions. - Celyn Walters, Simon Hadfield:
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance. - Ervan Kassarian, Francesco Sanfedino, Daniel Alazard, Charles-Antoine Chevrier, Johan Montel:
Linear Fractional Transformation modeling of multibody dynamics around parameter-dependent equilibrium. - Wei Han, Hui Chen, Soujanya Poria:
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. - Ryo Nakahashi, Seiji Yamada:
Balancing Performance and Human Autonomy with Implicit Guidance Agent. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap:
LightChain: Scalable DHT-Based Blockchain. - Badr Youbi Idrissi, Stéphane Clinchant:
Masked Adversarial Generation for Neural Machine Translation. - Jean Goubault-Larrecq, Xiaodong Jia:
Separating minimal valuations, point-continuous valuations and continuous valuations. - Jürgen Frikel, Simon Göppel, Markus Haltmeier:
Combining reconstruction and edge detection in computed tomography. - Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang:
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. - Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Yu-Ru Lin:
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Shuangyang Li, Weijie Yuan, Chang Liu, Zhiqiang Wei, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng:
A Novel ISAC Transmission Framework based on Spatially-Spread Orthogonal Time Frequency Space Modulation. - Anik Saha, Catherine Finegan-Dollak, Ashish Verma:
Position Masking for Improved Layout-Aware Document Understanding. - Hao-Chung Cheng, Baris Nakiboglu:
On the Existence of the Augustin Mean. - Roly Perera, Minh Nguyen, Tomas Petricek, Meng Wang:
Linked visualisations via Galois dependencies. - Roland Maier, Philipp Morgenstern, Thomas Takacs:
Adaptive Refinement for Unstructured T-Splines with Linear Complexity. - Ignacio Vellido-Expósito, Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Juan Fdez-Olivares:
Planning from video game descriptions. - José Luís Devezas, Sérgio Nunes:
Hypergraph-of-Entity: A General Model for Entity-Oriented Search. - Juan Pablo Borthagaray, Ricardo H. Nochetto:
Constructive approximation on graded meshes for the integral fractional Laplacian. - Chao Sun, Zhedong Zheng, Xiaohan Wang, Mingliang Xu, Yi Yang:
Point Cloud Pre-training by Mixing and Disentangling. - Jacob König, Mark David Jenkins, Mike Mannion, Peter Barrie, Gordon Morison:
A Weakly-Supervised Surface Crack Segmentation Method using Localisation with a Classifier and Thresholding. - Linda Lastrico, Alessandro Carfì, Francesco Rea, Alessandra Sciutti, Fulvio Mastrogiovanni:
From Movement Kinematics to Object Properties: Online Recognition of Human Carefulness. - Marcello Cinque, Barbara Gallina:
Fast Abstracts and Student Forum Proceedings, 17th European Dependable Computing Conference - EDCC 2021. - Eric Schares:
Unsub Extender: a Python-based web application for visualizing Unsub data. - Ruiqi Zhao, Tianyi Wu, Guodong Guo:
Sparse to Dense Motion Transfer for Face Image Animation. - Yun Chen, Lingfeng Pei, Trevor E. Carlson:
Leaking Control Flow Information via the Hardware Prefetcher. - Rabab Alkhalifa, Arkaitz Zubiaga:
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions. - Sunil Kumar Vengalil, Neelam Sinha:
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. - Lima Agnel Tony, Shuvrangshu Jana, Varun V. P., Aashay Anil Bhise, Aruul Mozhi Varman S, Vidyadhara B. V, Mohitvishnu S. Gadde, Raghu Krishnapuram, Debasish Ghose:
Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets in Unknown Environments. - Mario Brcic, Roman V. Yampolskiy:
Impossibility Results in AI: A Survey. - Pieter Maris, Chao Yang, Dossay Oryspayev, Brandon Cook:
Accelerating an Iterative Eigensolver for Nuclear Structure Configuration Interaction Calculations on GPUs using OpenACC. - Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, Jindrich Helcl, Alexandra Birch:
Survey of Low-Resource Machine Translation. - Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results. - João R. Cardoso, Pedro Miraldo:
Solving the Discrete Euler-Arnold Equations for the Generalized Rigid Body Motion. - Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný:
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. - Xiaolin Li, Rajesh C. Panicker, Barry Cardiff, Deepu John:
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices. - Yan Jia, John A. McDermid, Tom Lawton, Ibrahim Habli:
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare. - Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. - Zhuoxiao Chen, Yadan Luo, Mahsa Baktashmotlagh:
Conditional Extreme Value Theory for Open Set Video Domain Adaptation. - Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. - Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. - Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan:
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation. - Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher:
Boosting Search Engines with Interactive Agents. - Tristan Milne, Adrian I. Nachman:
Wasserstein GANs with Gradient Penalty Compute Congested Transport. - Jacob Leygonie, Mathieu Carrière, Théo Lacombe, Steve Oudot:
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis. - Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. - Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. - Christian Sprecher, Marc Fischer, Dimitar I. Dimitrov, Gagandeep Singh, Martin T. Vechev:
Shared Certificates for Neural Network Verification. - Jin Yong Yoo, Yanjun Qi:
Towards Improving Adversarial Training of NLP Models. - Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks. - Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng:
Does Knowledge Help General NLU? An Empirical Study. - Akshansh Mishra, Eyob Messele Sefene, Assefa Asmare Tsegaw:
Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms. - Entony Lekhtman, Yftah Ziser, Roi Reichart:
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction. - Edward Verenich, Tobias Martin, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks. - Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem Can Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya V. Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay:
Active label cleaning: Improving dataset quality under resource constraints. - Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. - Rain Jiang, Kai Jiang, Minghui Jiang:
Moving intervals for packing and covering. - Yingshan Chang, Mridu Narang, Hisami Suzuki, Guihong Cao, Jianfeng Gao, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. - Tomer Wullach, Amir Adler, Einat Minkov:
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech. - Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Wearable-based Classification of Running Styles with Deep Learning. - Yue Hu, Ao Qu, Yanbing Wang, Dan Work:
Streaming data preprocessing via online tensor recovery for large environmental sensor networks. - Arianna Di Bernardo, Simone Poetto, Pietro Sillano, Beatrice Villata, Weronika Sójka, Zofia Pietka-Danilewicz, Piotr Pranke:
Latin writing styles analysis with Machine Learning: New approach to old questions. - Danae Sanchez Villegas, Nikolaos Aletras:
Point-of-Interest Type Prediction using Text and Images. - Tongjia Zheng, Qing Han, Hai Lin:
Backstepping Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems. - Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. - Tuvi Etzion:
Non-Binary Diameter Perfect Constant-Weight Codes. - Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces. - Giovanni De Toni, Luca Erculiani, Andrea Passerini:
Learning compositional programs with arguments and sampling. - Xiaotian Fu, Didier Le Ruyet:
Grassmannian Constellation Design for Noncoherent MIMO Systems Using Autoencoders. - Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. - Akram Aldroubi, Longxiu Huang, Keri Kornelson, Ilya A. Krishtal:
Predictive algorithms in dynamical sampling for burst-like forcing terms. - Pascal Vaillant:
Algorithme de recherche approximative dans un dictionnaire fondé sur une distance d'édition définie par blocs. - Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition. - Christian D. Newman, Michael John Decker, Reem S. Alsuhaibani, Anthony Peruma, Satyajit Mohapatra, Tejal Vishnoi, Marcos Zampieri, Mohamed Wiem Mkaouer, Timothy J. Sheldon, Emily Hill:
An Ensemble Approach for Annotating Source Code Identifiers with Part-of-speech Tags. - Shibo Zhang, Ebrahim Nemati, Tousif Ahmed, Md. Mahbubur Rahman, Jilong Kuang, Alex Gao:
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection. - Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp:
Field-Based Plot Extraction Using UAV RGB Images. - Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Selecting Optimal Trace Clustering Pipelines with AutoML. - Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. - Yi-Lun Liao, Sertac Karaman, Vivienne Sze:
Searching for Efficient Multi-Stage Vision Transformers. - Michael J. Roberts, Sisi Zhang, Eleanor Yuan, James Jones, Matthias Fripp:
Using Temperature Sensitivity to Estimate Shiftable Electricity Demand: Implications for power system investments and climate change. - Sina Baharlouei, Kelechi Ogudu, Sze-Chuan Suen, Meisam Razaviyayn:
RIFLE: Robust Inference from Low Order Marginals. - Nour Kouzayha, Mustafa A. Kishk, Hadi Sarieddeen, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Coverage and Rate Analysis in Coexisting Terahertz and RF Finite Wireless Networks. - Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas W. D. Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche:
The VoicePrivacy 2020 Challenge: Results and findings. - Wael Alghamdi, Flávio P. Calmon:
Measuring Information from Moments. - Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. - Monika Henzinger, Billy Jin, Richard Peng, David P. Williamson:
Cut-Toggling and Cycle-Toggling for Electrical Flow and Other p-Norm Flows. - Ikechukwu E. Onyenwe, Ebele G. Onyedinma, Chidinma A. Nwafor, Obinna Agbata:
Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique. - Anastasiia Postnikova, Nikita Koval, Giorgi Nadiradze, Dan Alistarh:
Multi-Queues Can Be State-of-the-Art Priority Schedulers. - Amit Kumar Mondal, Chanchal K. Roy, Kevin A. Schneider, Banani Roy, Sristy Sumana Nath:
Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review. - Andrew Specian, Ross Mead, Simon Kim, Maja J. Mataric, Mark Yim:
Quori: A Community-Informed Design of a Socially Interactive Humanoid Robot. - Shuqi Dai, Zeyu Jin, Celso Gomes, Roger B. Dannenberg:
Controllable deep melody generation via hierarchical music structure representation. - Andreas Prodromou, Ashish Venkat, Dean M. Tullsen:
Agon: A Scalable Competitive Scheduler for Large Heterogeneous Systems. - Amirarsalan Rajabi, Özlem Özmen Garibay:
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. - Kyeong Soo Kim, Seungyeop Kang:
Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss. - Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim:
Supporting CUDA for an extended RISC-V GPU architecture. - Zhifeng Jiang, Wei Wang, Yang Liu:
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning. - Dongjie Zhu, Yundong Sun, Haiwen Du, Zhaoshuo Tian:
Self-supervised Recommendation with Cross-channel Matching Representation and Hierarchical Contrastive Learning. - Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He:
Regional Adversarial Training for Better Robust Generalization. - Wenqi Yang, Zhenfang Chen, Chaofeng Chen, Guanying Chen, Kwan-Yee K. Wong:
Deep Face Video Inpainting via UV Mapping. - Naren Sarayu Manoj, Avrim Blum:
Excess Capacity and Backdoor Poisoning. - Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang:
Global Convolutional Neural Processes. - Nan Xu, Junyan Wang, Yuan Tian, Ruike Zhang, Wenji Mao:
AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification. - Leo Gao:
An Empirical Exploration in Quality Filtering of Text Data. - Guangwei Gao, Guoan Xu, Juncheng Li, Yi Yu, Huimin Lu, Jian Yang:
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation. - Juntao Huang, Yingda Cheng, Andrew J. Christlieb, Luke F. Roberts:
Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds. - Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar:
ShopTalk: A System for Conversational Faceted Search. - Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. - Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. - Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Efficient Algorithms For Fair Clustering with a New Fairness Notion. - Ahmed El Alaoui, Andrea Montanari:
An Information-Theoretic View of Stochastic Localization. - Zun Wang, Chong Wang, Sibo Zhao, Yong Xu, Shaogang Hao, Chang Yu Hsieh, Bing-Lin Gu, Wenhui Duan:
Heterogeneous relational message passing networks for molecular dynamics simulations. - Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability. - Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. - Liping Yang, Xiaxia Niu, Jun Wu:
RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce. - Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. - Naoto Ohsaka:
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes. - Eyup Halit Yilmaz, Cagri Toraman:
ConQX: Semantic Expansion of Spoken Queries for Intent Detection based on Conditioned Text Generation. - Purandar Bhaduri:
Coalgebras for Bisimulation of Weighted Automata over Semirings. - Tracy Tam, Asha Rao, Joanne L. Hall:
The Good, The Bad and The Missing: A Narrative Review of Cyber-security Implications for Australian Small Businesses. - Masatoshi Osumi:
Ramsey Numbers of Trails. - Pierre Lance Tan, Virgilio P. Sison:
Quaternions over Galois rings and their codes. - Itsaso Rodríguez-Moreno, Itziar Irigoien, Basilio Sierra, Concepción Arenas:
dbcsp: User-friendly R package for Distance-Based Common Spacial Patterns. - Yuanyuan Shi, Bolun Xu:
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning. - (Withdrawn) MIR-VIO: Mutual Information Residual-based Visual Inertial Odometry with UWB Fusion for Robust Localization.
- Sijia Li, Shiguang Liu, Dinesh Manocha:
Binaural Audio Generation via Multi-task Learning. - Junjun Pan, Michael K. Ng:
Co-Separable Nonnegative Matrix Factorization. - Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. - Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Multi-Orchestrator Mobile Edge Learning. - David Lehnherr, Zoran Ognjanovic, Thomas Studer:
A logic of interactive proofs. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Better Self-training for Image Classification through Self-supervision. - Corey Toler-Franklin, Shashank Ranjan:
Non-Photorealistic Rendering of Layered Materials: A Multispectral Approach. - Daesoo Lee, Erlend Aune:
VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. - Guanqiu Ma, Guanghui Hu:
Factorization method for inverse time-harmonic elastic scattering with a single plane wave. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Semi-Supervised Learning using Siamese Networks. - José Matias, Julio P. C. Oliveira, Galo A. C. Le Roux, Johannes Jäschke:
Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Multi-Modal Zero-Shot Sign Language Recognition. - Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim:
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. - Ruicong Huang:
Brief View and Analysis to Latest Android Security Issues and Approaches. - Sandro Augusto Magalhães, Luís Castro, Germano Moreira, Filipe Neves dos Santos, Mário Cunha, Jorge Dias, António Paulo Moreira:
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse. - Yiming Qian, Cheikh Brahim El Vaigh, Yuta Nakashima, Benjamin Renoust, Hajime Nagahara, Yutaka Fujioka:
Built Year Prediction from Buddha Face with Heterogeneous Labels. - Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont:
Deep Learning-based mitosis detection in breast cancer histologic samples. - Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low:
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. - Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation. - B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson:
Sensing and Classification Using Massive MIMO: A Tensor Decomposition-Based Approach. - Bedilia Estrada-Torres, Adela del-Río-Ortega, Manuel Resinas:
Dialog-based Automation of Decision Making in Processes. - Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. - Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan:
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. - Dominik Martin, Niklas Kühl, Marcel Schwenk:
Towards a Reference Architecture for Future Industrial Internet of Things Networks. - Mykola Trokhymovych, Diego Sáez-Trumper:
WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia. - Simon Vrhovec:
Survey about social engineering and the Varni na internetu awareness campaign, 2020. - Rui Zhao:
An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts. - Christos Theodoropoulos, James Henderson, Andrei C. Coman, Marie-Francine Moens:
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. - Timon S. Gutleb, José A. Carrillo, Sheehan Olver:
Computation of Power Law Equilibrium Measures on Balls of Arbitrary Dimension. - Chennakesava Kadapa, Mokarram Hossain:
A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers. - Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. - Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas:
Inferring feature importance with uncertainties in high-dimensional data. - Rohit Chowdhury, Deepak N. Subramani:
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm. - Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. - David Cameron, Emily C. Collins:
User, Robot, Deployer: A New Model for Measuring Trust in HRI. - Rahul Dubey, Sushil J. Louis:
VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels. - Partha Das, Yang Liu, Sezer Karaoglu, Theo Gevers:
Generative Models for Multi-Illumination Color Constancy. - Yan Wang, Yuhang Li, Ruihao Gong:
Real World Robustness from Systematic Noise. - Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. - Mark van der Boor, Céline Comte:
Load Balancing in Heterogeneous Server Clusters: Insights From a Product-Form Queueing Model. - Khan Mohammad Habibullah, Jennifer Horkoff:
Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry. - Siddharth Barman, Arindam Khan, Arnab Maiti:
Universal and Tight Online Algorithms for Generalized-Mean Welfare. - Jia Ye, Jingping Qiao, Abla Kammoun, Mohamed-Slim Alouini:
Non-terrestrial Communications Assisted by Reconfigurable Intelligent Surfaces. - Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. - Eshagh Kargar, Ville Kyrki:
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization. - Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval. - Rashmi Bakshi, Jane Courtney, Damon Berry, Graham Gavin:
Tracking Hand Hygiene Gestures with Leap Motion Controller. - Jonathan S. Kent, Charles C. Wamsley, Davin Flateau, Amber Ferguson:
Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery. - Akshansh Mishra:
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints. - Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. - Oguzhan Kose:
Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR. - Mahdi Darvish, Mahsa Pouramini, Hamid Bahador:
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection. - Jean-Emmanuel Deschaud:
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator. - Atefeh Mahdavi, Marco Carvalho:
A Survey on Open Set Recognition. - Luoxiao Yang, Long Wang, Zijun Zhang:
Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method. - Yushan Zhu, Huaixiao Tou, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu Zhang, Huajun Chen:
Knowledge Perceived Multi-modal Pretraining in E-commerce. - Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Tarik A. Rashid, Rasha Subhi Ali, P. W. C. Prasad, Oday D. Jerew:
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning. - Xuan Li, Liqiong Chang, Xue Liu:
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication. - Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu:
Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping. - Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos:
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer. - Pierre Leone, Nathan Cohen:
Rendezvous on the Line with Different Speeds and Markers that can be Dropped at Chosen Time. - Md Abdullah Al Nasim, Atiqul Islam Chowdhury, Jannatun Naeem Muna, Faisal Muhammad Shah:
An Automated Approach for the Recognition of Bengali License Plates. - Eunyeong Jeon, Kunhee Kim, Daijin Kim:
FA-GAN: Feature-Aware GAN for Text to Image Synthesis. - Joe Gildea, Adrian Korban, Adam Michael Roberts, Alexander Tylyshchak:
Binary self-dual codes of various lengths with new weight enumerators from a modified bordered construction and neighbours. - Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis:
Sparsifying the Update Step in Graph Neural Networks. - Omri Lev, Anatoly Khina:
Energy-limited Joint Source-Channel Coding via Analog Pulse Position Modulation. - Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi:
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. - Peter Polák, Ondrej Bojar:
Coarse-To-Fine And Cross-Lingual ASR Transfer. - Eduardo Andreetta Fontana, Fábio Petrillo:
Mapping breakpoint types: an exploratory study. - Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh:
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling. - Sudipan Saha, Shan Zhao, Xiao Xiang Zhu:
Reiterative Domain Aware Multi-target Adaptation. - Arianna Salili-James, Anne Mackay, Emilio Rodriguez-Alvarez, Diana Rodriguez-Perez, Thomas Mannack, Timothy A. Rawlings, A. Richard Palmer, Jonathan Todd, Terhi E. Riutta, Cate Macinnis-Ng, Zhitong Han, Megan Davies, Zinnia Thorpe, Stephen Marsland, Armand M. Leroi:
Classifying Organisms and Artefacts By Their Shapes. - Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Improving Multimodal fusion via Mutual Dependency Maximisation. - Fuchen Gao, Zhanquan Wang, Zhenguang Liu:
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. - Ervin Teng, Bob Iannucci:
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents. - Valter Uotila, Jiaheng Lu, Dieter Gawlick, Zhen Hua Liu, Souripriya Das, Gregory Pogossiants:
MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming. - Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. - Hrishit Chaudhuri, Vibha Masti, Vishruth Veerendranath, S. Natarajan:
A Comparative Study of Algorithms for Intelligent Traffic Signal Control. - Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna:
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation. - Lynnette Hui Xian Ng, Iain Cruickshank, Kathleen M. Carley:
Coordinating Narratives and the Capitol Riots on Parler. - Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. - Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. - Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu, Fabien Moutarde:
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction. - Philipp Scharpf, Moritz Schubotz, Bela Gipp:
Towards Explaining STEM Document Classification using Mathematical Entity Linking. - Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. - Alexandre Araujo:
Building Compact and Robust Deep Neural Networks with Toeplitz Matrices. - Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao:
Self-supervised Representation Learning for Trip Recommendation. - Robin Haunschild, Lutz Bornmann:
Reference Publication Year Spectroscopy (RPYS) in practice: Three RPYS analyzes in the course of Workshop III "Cited References Analysis Using CRExplorer" at the 18th ISSI conference. - Abhishek Roy, Sudhan Majhi:
Construction of Inter-Group Complementary Code Set and 2-D Z-Complementary Array Code Set Based on Multivariable Functions. - Tonicha Crook, Arno Pauly:
The Weihrauch degree of finding Nash equilibria in multiplayer games. - George Sioros, Kristian Nymoen:
Accurate shape and phase averaging of time series through Dynamic Time Warping. - Jiaxin Liang, Soung Chang Liew:
ROFA: An OFDMA system for Ultra-Reliable Wireless Industrial Networking. - Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
How does the User's Knowledge of the Recommender Influence their Behavior? - Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten:
CrypTen: Secure Multi-Party Computation Meets Machine Learning. - Frédéric Legoll, Pierre-Loïk Rothé, Claude Le Bris, Ulrich Hetmaniuk:
An MsFEM approach enriched using Legendre polynomials. - Benjamin Clavié, Akshita Gheewala, Paul Briton, Marc Alphonsus, Rym Laabiyad, Francesco Piccoli:
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training. - Mauro Bisiacco, Gianluigi Pillonetto:
COVID-19 epidemic control using short-term lockdowns for collective gain. - Xinchao Jiang, Hu Wang, Yu Li:
A Physics-Data-Driven Bayesian Method for Heat Conduction Problems. - Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. - Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
Leveraging Documentation to Test Deep Learning Library Functions. - Björn Lindqvist, Sina Sharif Mansouri, Pantelis Sopasakis, George Nikolakopoulos:
Collision avoidance for multiple MAVs using fast centralized NMPC. - Daniel Le Berre, Romain Wallon:
On Dedicated CDCL Strategies for PB Solvers. - Beatrix-Emoke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel:
Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency. - Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. - Nathan Zachary, Gerald Carl, Russell Elijah, Hessi Roma, Robert Leer, James Amelia:
Scene Text recognition with Full Normalization. - Thach Le Nguyen, Georgiana Ifrim:
MrSQM: Fast Time Series Classification with Symbolic Representations. - Nicolas T. Courtois, Kacper T. Gradon, Klaus Schmeh:
Crypto Currency Regulation and Law Enforcement Perspectives. - Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao:
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. - Stefan Kiefer, Cas Widdershoven:
Image-Binary Automata. - Aditi S. Krishnapriyan, Amir Gholami, Shandian Zhe, Robert M. Kirby, Michael W. Mahoney:
Characterizing possible failure modes in physics-informed neural networks. - Alexander Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin:
Shot boundary detection method based on a new extensive dataset and mixed features. - A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. - Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski:
Skim-Attention: Learning to Focus via Document Layout. - Jonathan Leake, Nisheeth K. Vishnoi:
Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory. - Sandeep Ramachandra, Alexander Hoelzemann, Kristof Van Laerhoven:
Transformer Networks for Data Augmentation of Human Physical Activity Recognition. - Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar:
Text Classification for Predicting Multi-level Product Categories. - Salar Razavi, Fariba Dambandkhameneh, Dimitri Androutsos, Susan Done, April Khademi:
Cascade RCNN for MIDOG Challenge. - Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. - Ying Zhao, Xin Zhao, Siming Chen, Zhuo Zhang, Xin Huang:
An Indoor Crowd Movement Trajectory Benchmark Dataset. - (Withdrawn) What Users Want? WARHOL: A Generative Model for Recommendation.
- Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. - Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? - Martin Peresíni, Federico Matteo Bencic, Kamil Malinka, Ivan Homoliak:
DAG-Oriented Protocols PHANTOM and GHOSTDAG under Incentive Attack via Transaction Selection Strategy. - Marcin Nawrocki, Mattijs Jonker, Thomas C. Schmidt, Matthias Wählisch:
The Far Side of DNS Amplification: Tracing the DDoS Attack Ecosystem from the Internet Core. - Muhammad Fadli Damara, Gregor Kornhardt, Peter Jung:
Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent. - Marcin Nawrocki, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch:
QUICsand: Quantifying QUIC Reconnaissance Scans and DoS Flooding Events. - Anna-Katharina Wickert, Lars Baumgärtner, Florian Breitfelder, Mira Mezini:
Python Crypto Misuses in the Wild. - Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. - Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. - Andrew T. Walter, Seth Cooper, Panagiotis Manolios:
A Reasoning Engine for the Gamification of Loop-Invariant Discovery. - Said Fahri Altindis, Yusuf Dalva, Aysegul Dundar:
Benchmarking the Robustness of Instance Segmentation Models. - Youjin Chung, Jihoon Cho, Jinah Park:
Domain-Robust Mitotic Figure Detection with Style Transfer. - Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar:
An Electro-Photonic System for Accelerating Deep Neural Networks. - Tomislav Duricic, Volker Seiser, Elisabeth Lex:
Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum. - Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou:
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. - Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Learning to Prompt for Vision-Language Models. - Yoon Kim:
Sequence-to-Sequence Learning with Latent Neural Grammars. - Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black:
The Power of Points for Modeling Humans in Clothing. - Valerio Terragni, Pasquale Salza:
APIzation: Generating Reusable APIs from StackOverflow Code Snippets. - Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. - Alexej Moskovka, Jan Valdman:
Fast MATLAB evaluation of nonlinear energies using FEM in 2D and 3D: nodal elements. - Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. - Korbinian Spielvogel, Henrich C. Pöhls, Joachim Posegga:
TLS Beyond the Broker: Enforcing Fine-grained Security and Trust in Publish/Subscribe Environments for IoT. - Seung Heon Sheen, Egor Larionov, Dinesh K. Pai:
Volume Preserving Simulation of Soft Tissue with Skin. - Massimo Frittelli, Ivonne Sgura:
Matrix-oriented FEM formulation for stationary and time-dependent PDEs on x-normal domains. - Sage Bergerson:
Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts. - Jiunn-Kai Huang, William A. Clark, Jessy W. Grizzle:
Optimal Target Shape for LiDAR Pose Estimation. - Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu, Harsimrat Kaeley, Anurag Karra, Mohammad Abdullah Al Faruque:
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs. - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning with Adaptive Compression. - Atieh Taheri, Ziv Weissman, Misha Sra:
Exploratory Design of a Hands-free Video Game Controller for a Quadriplegic Individual. - Giovane C. M. Moura, Raffaele Sommese, Mattijs Jonker:
Hosting Industry Centralization and Consolidation. - Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks:
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. - Alexander Ostermann, Fangyan Yao, Yifei Wu:
A second order low-regularity integrator for the nonlinear Schrödinger equation. - Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych:
Ranking Scientific Papers Using Preference Learning. - Eduardo Mendes, Fábio Petrillo:
Log severity levels matter: A multivocal mapping. - Kunal Rao, Giuseppe Coviello, Wang-Pin Hsiung, Srimat T. Chakradhar:
ECO: Edge-Cloud Optimization of 5G applications. - Vishnu Nair, Jay L. Karp, Samuel Silverman, Mohar Kalra, Hollis Lehv, Faizan Jamil, Brian A. Smith:
NavStick: Making Video Games Blind-Accessible via the Ability to Look Around. - Muhammad Samir Khan, Nitin H. Vaidya:
Byzantine Consensus in Directed Hypergraphs. - Patrik Jonell, Anna Deichler, Ilaria Torre, Iolanda Leite, Jonas Beskow:
Mechanical Chameleons: Evaluating the effects of a social robot's non-verbal behavior on social influence. - Maksym Del, Mark Fishel:
Establishing Interlingua in Multilingual Language Models. - Anya Belz:
Quantifying Reproducibility in NLP and ML. - Dohyeon Kim, Joongheon Kim, Jae Young Bang:
A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization. - James S. Plank, Catherine D. Schuman, Robert M. Patton:
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment. - Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus:
Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach. - James A. Michaelov, Seana Coulson, Benjamin K. Bergen:
So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements. - Michael Sollami, Aashish Jain:
Multimodal Conditionality for Natural Language Generation. - Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
A Study of Mixed Precision Strategies for GMRES on GPUs. - Jianli Wei, Guanyu Xu, Alper Yilmaz:
DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform. - Samuel Mensah, Kai Sun, Nikolaos Aletras:
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. - Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran:
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. - Yuan Gao, Yan Gu:
Invariant Filtering for Bipedal Walking on Dynamic Rigid Surfaces with Orientation-based Measurement Model. - Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum:
Entity Linking and Discovery via Arborescence-based Supervised Clustering. - Albert Webson, Ellie Pavlick:
Do Prompt-Based Models Really Understand the Meaning of their Prompts? - Othmane Cherqi, Hicham Hammouchi, Mounir Ghogho, Houda Benbrahim:
Leveraging Open Threat Exchange (OTX) to Understand Spatio-Temporal Trends of Cyber Threats: Covid-19 Case Study. - Minghui Li, Mejdi Azaïez, Chuanju Xu:
New efficient time-stepping schemes for the anisotropic phase-field dendritic crystal growth model. - Sanjeev Sondur, Krishna Kant:
Performance Health Index for Complex Cyber Infrastructures. - Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry:
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. - Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang:
Estimating Demand Flexibility Using Siamese LSTM Neural Networks. - T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella:
On the Accuracy of Analog Neural Network Inference Accelerators. - Ting-Wei Wu, Ruolin Su, Biing-Hwang Juang:
A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection. - Farzaneh Zokaee, Lei Jiang:
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators. - Zehua Zeng, Minhui Xie, Matthew Gouzoulis, Leilani Battle:
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. - Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. - Michael Timothy Bennett:
Symbol Emergence and The Solutions to Any Task. - (Withdrawn) Retraction: Improved Approximation Schemes for Dominating Set Problems in Unit Disk Graphs.
- Zeyuan Zhou, Mei-Yuan Zhen, Kun Qu, Jin-Sheng Cai:
High Order Hermite Finite Difference Method for Euler/Navier-Stokes Equations in 2D Unstructured Meshes. - Zhao-Heng Yin, Chenran Li, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Iterative Imitation Policy Improvement for Interactive Autonomous Driving. - Nan Jiang, Adnan Aijaz, Yichao Jin:
Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G. - Xinwei He, Silin Cheng, Song Bai, Xiang Bai:
CAP-Net: Correspondence-Aware Point-view Fusion Network for 3D Shape Analysis. - Yingwen Fu, Nankai Lin, Zhihe Yang, Shengyi Jiang:
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition. - Zhong Ji, Zhishen Hou, Xiyao Liu, Yanwei Pang, Jungong Han:
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning. - Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. - Xiyao Liu, Zhong Ji, Yanwei Pang, Zhongfei Zhang:
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition. - James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. - Navid Ahmadinejad, Li Liu:
J-Score: A Robust Measure of Clustering Accuracy. - Eric Neyman, Tim Roughgarden:
Strictly Proper Contract Functions Can Be Arbitrage-Free. - Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. - Zixuan Chen, Junhong Zou, Xiaotao Wang:
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models. - Qingkai Shi, Yongchao Wang, Charles Zhang:
Indexing Context-Sensitive Reachability. - Vincent R. Pascuzzi, Mehdi Goli:
Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability. - Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. - Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya:
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models. - Khac-Hoang Ngo, Nhan Thanh Nguyen, Thinh Quang Dinh, Trong-Minh Hoang, Markku J. Juntti:
Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface. - Abhinav Sinha, Shashi Ranjan Kumar:
Cooperative Target Capture using Predefined-time Consensus over Fixed and Switching Networks. - David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Circuit Lower Bounds for the p-Spin Optimization Problem. - Petter Ögren:
On the similarities between Control Barrier Functions (CBFs) and Behavior Control Lyapunov Functions (BCLFs). - Tengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan, Qifeng Chen:
Dual-Camera Super-Resolution with Aligned Attention Modules. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Spatially varying white balancing for mixed and non-uniform illuminants. - Junyoung Choi, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong:
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis. - Moritz C. Buehler, Jürgen Adamy, Thomas H. Weisswange:
Theory of Mind Based Assistive Communication in Complex Human Robot Cooperation. - Shaofei Cai, Liang Li, Xinzhe Han, Zhengjun Zha, Qingming Huang:
Edge-featured Graph Neural Architecture Search. - Junhui Li, Jieying Lu, Weizhou Su:
Optimal output feedback control of a class of linear systems with quasi-colored control-dependent multiplicative noise. - Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. - Tomas Kulik, Brijesh Dongol, Peter Gorm Larsen, Hugo Daniel Macedo, Steve Schneider, Peter Würtz Vinther Tran-Jørgensen, Jim Woodcock:
A Survey of Practical Formal Methods for Security. - Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. - Alonso Rodríguez-Navarro, Ricardo Brito:
Validated research assessment based on highly cited researchers. - Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao:
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation. - Pegdwendé N. Sawadogo, Jérôme Darmont, Camille Noûs:
Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake. - Mahendran N:
Deep Learning for Fitness. - Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. - Per Runeson, Thomas Olsson, Johan Linåker:
Open Data Ecosystems - an empirical investigation into an emerging industry collaboration concept. - Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Patrick Valduriez:
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum. - Maarja Bussov, Joonas Nättilä:
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning. - Hoi-Yin Lee, Peng Zhou, Jiangliu Wang, Victor Wu, David Navarro-Alarcon:
A Multi-Sensor Interface to Improve the Teaching and Learning Experience in Arc Welding Training Tasks. - Rodothea-Myrsini Tsoupidi, Musard Balliu, Benoit Baudry:
Vivienne: Relational Verification of Cryptographic Implementations in WebAssembly. - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh:
Finding Colorful Paths in Temporal Graphs. - T. Anderson Keller, Max Welling:
Topographic VAEs learn Equivariant Capsules. - Elena Voita, Rico Sennrich, Ivan Titov:
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. - Xiao Gu, Jianxin Yang, Hanxiao Zhang, Jianing Qiu, Frank Po Wen Lo, Yao Guo, Guang-Zhong Yang, Benny Lo:
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation. - Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. - Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi:
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? - A. S. M. Badrudduza, Sheikh Habibul Islam, Milton Kumar Kundu, Imran Shafique Ansari:
Secrecy Performance of α-κ-μ Shadowed Fading Channel. - Ziqi Zhang, Xingyi Song:
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. - Daniel Jarne Ornia, Manuel Mazo Jr.:
Event-Based Communication in Multi-Agent Distributed Q-Learning. - Bemali Wickramanayake, Zhipeng He, Chun Ouyang, Catarina Moreira, Yue Xu, Renuka Sindhgatta:
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms. - Henri Tiittanen, Liisa Holm, Petri Törönen:
A New Approach to Multilabel Stratified Cross Validation with Application to Large and Sparse Gene Ontology Datasets. - Tom Gilat:
Smooth Surfaces via Nets of Geodesics. - Xiaodong Liu, Shixu Meng:
A multi-frequency sampling method for the inverse source problems with sparse measurements. - Hugo Rincon Galeana, Sergio Rajsbaum, Ulrich Schmid:
Continuous Tasks and the Chromatic Simplicial Approximation Theorem. - Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton:
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. - Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? - (Withdrawn) Impact of GPU uncertainty on the training of predictive deep neural networks.
- Daegeon Kim, Hyeonho Lee:
Security Enhancement of Drone Considering the Characteristics of Data Transmitted between Wireless Channels. - Ji Yang, Lu Sang, Daniel Cremers:
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. - Srikar Kasi, P. A. Warburton, John Kaewell, Kyle Jamieson:
Challenge: A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks. - Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipková, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze:
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. - Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen, Martim Brandão, Erdal Kayacan:
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. - Maximilian Stubbemann, Gerd Stumme:
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification. - Johan Ruuskanen, Haorui Peng, Alfred Åkesson, Lars Larsson, Maria Kihl:
FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack. - Mai Phuong Pham Huynh, Manuel Santana, Ana Castillo:
Alternating Minimization for Computed Tomography with Unknown Geometry Parameters. - Dale Miller:
A Survey of the Proof-Theoretic Foundations of Logic Programming. - Haoran Yang, Wai Lam, Piji Li:
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation. - Bensingh Dhas, Jamun Kumar N, Debasish Roy, J. N. Reddy:
A mixed method for 3D nonlinear elasticity using finite element exterior calculus. - Zohair Raza Hassan, Imdadullah Khan, Mudassir Shabbir, Waseem Abbas:
Computing Graph Descriptors on Edge Streams. - Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck:
Ghost Loss to Question the Reliability of Training Data. - Xuanchi Ren, Tao Yang, Li Erran Li, Alexandre Alahi, Qifeng Chen:
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving. - Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim:
A brief history of AI: how to prevent another winter (a critical review). - Ruslan Yermakov, Nicholas Drago, Angelo Ziletti:
Biomedical Data-to-Text Generation via Fine-Tuning Transformers. - Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. - Jozef Michal Mintal, Michal Kalman, Karol Fabian:
Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks. - Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin:
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. - Rhys Green, Matthew Rowe, Alberto Polleri:
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator. - Yiming Tu, Jin Xie:
UnDeepLIO: Unsupervised Deep Lidar-Inertial Odometry. - Benoît Valiron, Shane Mansfield, Pablo Arrighi, Prakash Panangaden:
Proceedings 17th International Conference on Quantum Physics and Logic, QPL 2020, Paris, France, June 2 - 6, 2020. EPTCS 340, 2021 [contents] - Dimitris Gkoumas, Bo Wang, Adam Tsakalidis, Maria Wolters, Arkaitz Zubiaga, Matthew Purver, Maria Liakata:
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis. - Somenath Chakraborty, Beddhu Murali:
Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique. - Christian Ryan, Sharmishtha Dutta, Youngja Park, Nidhi Rastogi:
Ontology-driven Knowledge Graph for Android Malware. - Frederiek Wesel, Kim Batselier:
Large-Scale Learning with Fourier Features and Tensor Decompositions. - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. - Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak:
Situated Conditional Reasoning. - Tianci Yang, Carlos Murguia, Chen Lv:
Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks. - Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. - Paul Michel:
Learning Neural Models for Natural Language Processing in the Face of Distributional Shift. - Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Model-Based Parameter Optimization for Ground Texture Based Localization Methods. - Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya:
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification. - Adrien Deliège, Maxime Istasse, Ashwani Kumar, Christophe De Vleeschouwer, Marc Van Droogenbroeck:
Ordinal Pooling. - Luca Barletta, Alex Dytso:
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution. - Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme:
Deep Metric Learning for Ground Images. - Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha:
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. - Reza Soltani, Eun-Young Kang, Juan Esteban Heredia Mena:
Verification and Optimization of Cyber-Physical Systems: Preprint for FedCSIS. - Christopher Iliffe Sprague, Petter Ögren:
Continuous-Time Behavior Trees as Discontinuous Dynamical Systems. - Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. - Gereon Kremer, Erika Ábrahám, Vijay Ganesh:
On the proof complexity of MCSAT. - João Regateiro, Edmond Boyer:
3D Human Shape Style Transfer. - Jean Basset, Adnane Boukhayma, Stefanie Wuhrer, Franck Multon, Edmond Boyer:
Neural Human Deformation Transfer. - Serkan Kiranyaz, Junaid Malik, Mehmet Yamac, Esin Guldogan, Türker Ince, Moncef Gabbouj:
Super Neurons. - Christos-Minas Mathas, Costas Vassilakis, Nicholas Kolokotronis:
A Trust Management System for the IoT domain. - Pierre Aboulker, Guillaume Aubian:
Four proofs of the directed Brooks' Theorem. - Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry:
Representing Shape Collections with Alignment-Aware Linear Models. - Georgios Germanos, Dimitris Kavallieros, Nicholas Kolokotronis, Nikolaos Georgiou:
Privacy Issues in Voice Assistant Ecosystems. - Md Washik Al Azad, Spyridon Mastorakis:
The Promise and Challenges of Computation Deduplication and Reuse at the Network Edge. - Konstantinos-Panagiotis Grammatikakis, Ioannis Koufos, Nicholas Kolokotronis, Costas Vassilakis, Stavros Shiaeles:
Understanding and Mitigating Banking Trojans: From Zeus to Emotet. - Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning. - Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. - Jared O'Leary, Joel A. Paulson, Ali Mesbah:
Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations. - Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone:
On the Interplay between Self-Driving Cars and Public Transportation. - Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
Cross-Lingual Training with Dense Retrieval for Document Retrieval. - Chao Chen, Wei Chen, Di Zhao, Sei Zhen Khong, Li Qiu:
The Singular Angle of Nonlinear Systems. - Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh:
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. - Vladimir Braverman, Viska Wei, Samson Zhou:
Symmetric Norm Estimation and Regression on Sliding Windows. - (Withdrawn) Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding.
- Jeff Wen, Marshall Burke:
Wildfire smoke plume segmentation using geostationary satellite imagery. - Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models Are Zero-Shot Learners. - Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. - Prashant Trivedi, Nandyala Hemachandra:
Multi-agent Natural Actor-critic Reinforcement Learning Algorithms. - Abinash Nayak:
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser. - Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Thompson Sampling for Bandits with Clustered Arms. - Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. - Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo Lewi Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor Paaske Utheim, Catherine Jackson:
Artificial Intelligence in Dry Eye Disease. - Gayathri Krishnamoorthy, Anamika Dubey:
Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer. - Hrishav Bakul Barua:
Data science and Machine learning in the Clouds: A Perspective for the Future. - Sheng He, Patricia Ellen Grant, Yangming Ou:
Global-Local Transformer for Brain Age Estimation. - Meysam Effati, Yu-Chen Sun, Hani E. Naguib, Goldie Nejat:
Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes. - Gerrit J. Rijken, René Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska N. Smit:
Illegible Semantics: Exploring the Design Space of Metal Logos. - Anson Bastos, Manohar Kaul:
ALLWAS: Active Learning on Language models in WASserstein space. - Franz J. Brandenburg:
Straight-line Drawings of 1-Planar Graphs. - Pedro H. T. Gama, Hugo N. Oliveira, José Marcato Junior, Jefersson A. dos Santos:
Weakly Supervised Few-Shot Segmentation Via Meta-Learning. - Christine L. Borgman, Philip E. Bourne:
Why it takes a village to manage and share data. - Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello:
Revisiting 3D ResNets for Video Recognition. - Liming Xu, Stephen Mak, Alexandra Brintrup:
Will bots take over the supply chain? Revisiting Agent-based supply chain automation. - Franco Blanchini, Carlos Andrés Devia, Giulia Giordano:
Structural polyhedral stability of a biochemical network is equivalent to finiteness of the associated generalised Petri net. - Salonik Resch, Anthony Gutierrez, Joon Suk Huh, Srikant Bharadwaj, Yasuko Eckert, Gabriel H. Loh, Mark Oskin, Swamit S. Tannu:
Accelerating Variational Quantum Algorithms Using Circuit Concurrency. - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Mohammad Fasha:
Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution. - Ilia Karpov, Roman Marakulin:
Social Network Analysis of the Professional Community Interaction - Movie Industry Case. - Xiao Tang, Tianyu Wang, Chi-Wing Fu:
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction. - Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas Ristenpart:
Increasing Adversarial Uncertainty to Scale Private Similarity Testing. - Youjin Hwang, Donghoon Shin, Sion Baek, Bongwon Suh, Joonhwan Lee:
Applying the Persona of User's Family Member and the Doctor to the Conversational Agents for Healthcare. - Gilles Blanchard, Jean-Baptiste Fermanian:
Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure. - Kazuo Aoyama, Hiroshi Sawada:
Acceleration Method for Learning Fine-Layered Optical Neural Networks. - Benjamin Charles Germain Lee, Joshua Ortiz Baco, Sarah H. Salter, Jim Casey:
Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals. - Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, Srimat T. Chakradhar:
F3S: Free Flow Fever Screening. - Murugan Sankaradass, Kunal Rao, Srimat T. Chakradhar:
AppSlice: A system for application-centric design of 5G and edge computing applications. - Peiyuan Zhou, Andrew K. C. Wong, Yang Yang, Scott T. Leatherdale, Kate Battista, Zahid A. Butt, George Michalopoulos, Helen H. Chen:
Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method. - Holden Gordon, Thomas Lyp, Calvin Kimbro, Sara Tehranipoor:
A Novel IoT Sensor Authentication Using HaLo Extraction Method and Memory Chip Variability. - Tudor Mare, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu:
A realistic approach to generate masked faces applied on two novel masked face recognition data sets. - James F. Mullen Jr., Josh Mosier, Sounak Chakrabarti, Anqi Chen, Tyler White, Dylan P. Losey:
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Privacy of synthetic data: a statistical framework. - Wonbong Jang, Lourdes Agapito:
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories. - Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. - Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra:
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. - Mahdi Fahmideh, Graham Low, Ghassan Beydoun:
Conceptualising Cloud Migration Lifecycle. - Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
Data Augmentation for Cross-Domain Named Entity Recognition. - Abiodun Ayodeji, Wenhai Wang, Jianzhong Su, Jianquan Yuan, Xinggao Liu:
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction. - Kenneth Joseph, Sarah Shugars, Ryan J. Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, David Lazer:
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys. - Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks. - Bencheng Wei:
Effective user intent mining with unsupervised word representation models and topic modelling. - Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu:
SEC4SR: A Security Analysis Platform for Speaker Recognition. - Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen:
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. - Prashant Gupta, Yiran Guo, Narasimha Boddeti, Bala Krishnamoorthy:
SFCDecomp: Multicriteria Optimized Tool Path Planning in 3D Printing using Space-Filling Curve Based Domain Decomposition. - Yongri Piao, Jian Wang, Miao Zhang, Zhengxuan Ma, Huchuan Lu:
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection. - Ajim Uddin, Dan Zhou, Xinyuan Tao, Chia-Ching Chou, Dantong Yu:
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization. - Aozhu Chen, Fan Hu, Zihan Wang, Fangming Zhou, Xirong Li:
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID. - Limin Ma, Shudan Tian:
New Fourth Order Postprocessing Techniques for Plate Buckling Eigenvalues by Morley Element. - Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang:
Convergence Analysis for the PINNs. - Rathinamala Vijay, Gautham Prasad, Yinjia Huo, S. M. Sachin, T. V. Prabhakar:
Measurement-based Condition Monitoring of Railway Signaling Cables. - Pedro Cabalar, Martín Diéguez, Susana Hahn, Torsten Schaub:
Automata for dynamic answer set solving: Preliminary report. - Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. - Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang:
Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs. - Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. - Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu:
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. - Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang:
PR-Net: Preference Reasoning for Personalized Video Highlight Detection. - Rui Chen, Youwei Guo, Huafei Zheng, Hongyu Jiang:
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion. - Lin Wang, Yujeong Chae, Kuk-Jin Yoon:
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation. - Agustinus Andriyanto, Robin Doss, Suhardi:
X-Driven Methodologies for SOA System Development - A Survey. - Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao:
Stimuli-Aware Visual Emotion Analysis. - Casper Hansen:
Representation Learning for Efficient and Effective Similarity Search and Recommendation. - Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin:
Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI. - Stephan Gärttner, Faruk O. Alpak, Andreas Meier, Nadja Ray, Florian Frank:
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS. - Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. - Chenjie Wang, Chengyuan Li, Bin Luo, Wei Wang, Jun Liu:
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions. - Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde:
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation. - Ahmed Abbas, Paul Swoboda:
RAMA: A Rapid Multicut Algorithm on GPU. - Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark. - Renxin Zhao, Shi Wang:
A review of Quantum Neural Networks: Methods, Models, Dilemma. - Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski:
On robustness of generative representations against catastrophic forgetting. - Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui:
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering. - Jacobus Smit, Ed Plumb:
A Case Study of Agent-Based Models for Evolutionary Game Theory. - Wenjia Zhang, Lin Gui, Yulan He:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. - Md Mainuddin, Zhenhai Duan, Yingfei Dong:
Network Traffic Characteristics of IoT Devices in Smart Homes. - Shengyue Li, Wanrong Cao, Zhaopeng Hao:
On spectral Petrov-Galerkin method for solving fractional initial value problems in weighted Sobolev space. - Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma:
Spatiotemporal Inconsistency Learning for DeepFake Video Detection. - Aaditya Chandrasekhar, Krishnan Suresh:
Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks. - Zhe Lin, Xiaojun Wan:
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach. - Asish Satpathy, Satyajit Behari:
Customer 360-degree Insights in Predicting Chronic Diabetes. - Manish Goyal, Muqsit Azeem, Kumar Madhukar, R. Venkatesh:
Direct Construction of Program Alignment Automata for Equivalence Checking. - Wei Liu, Ziqing Xie, Wenfan Yi:
Nonmonotone Local Minimax Methods for Finding Multiple Saddle Points. - Ismail H. Toroslu:
Improving The Floyd-Warshall All Pairs Shortest Paths Algorithm. - Yuxiang Cui, Xiaolong Huang, Yue Wang, Rong Xiong:
Socially-Aware Multi-Agent Following with 2D Laser Scans via Deep Reinforcement Learning and Potential Field. - Samir Datta, Chetan Gupta, Rahul Jain, Anish Mukherjee, Vimal Raj Sharma, Raghunath Tewari:
Dynamic Meta-theorems for Distance and Matching. - Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Gauthier Roy, Jules Dedieu, Capucine Bertrand, Alireza Moshayedi, Ali Mammadov, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation. - Anindya Mondal, Mayukhmali Das:
Moving Object Detection for Event-based Vision using k-means Clustering. - Pedro R. S. Antunes:
A well conditioned Method of Fundamental Solutions. - Gianmario Fumagalli, Yannick Huber, Marcin Dymczyk, Roland Siegwart, Renaud Dubé:
Fast Image-Anomaly Mitigation for Autonomous Mobile Robots. - Peter C. Dillinger, Lorenz Hübschle-Schneider, Peter Sanders, Stefan Walzer:
Fast Succinct Retrieval and Approximate Membership using Ribbon. - Rohan Chandra, Dinesh Manocha:
GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging. - Esther S. Daus, Markus Fellner, Ansgar Jüngel:
Random-batch method for multi-species stochastic interacting particle systems. - Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez:
Uncovering the Limits of Text-based Emotion Detection. - Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. - Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt:
Robust fine-tuning of zero-shot models. - Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee:
Estimating the probabilities of causation via deep monotonic twin networks. - Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. - Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network for Semantic Segmentation. - Ziqing Hu, Yihao Fang, Lizhen Lin:
Training Graph Neural Networks by Graphon Estimation. - Weijie Liu, Hongbo Chen, XiaoFeng Wang, Zhi Li, Danfeng Zhang, Wenhao Wang, Haixu Tang:
Understanding TEE Containers, Easy to Use? Hard to Trust. - Mingzhi Yu, Diane J. Litman, Shuang Ma, Jian Wu:
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations. - Hadi Hosseini, Andrew Searns, Erel Segal-Halevi:
Ordinal Maximin Share Approximation for Goods. - Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang:
Audio-Visual Transformer Based Crowd Counting. - Sylwia Majchrowska, Iraklis Giannakis, Craig Warren, Antonios Giannopoulos:
Modelling Arbitrary Complex Dielectric Properties - an automated implementation for gprMax. - Alexey Letunovskiy, Vladimir Korviakov, Vladimir Polovnikov, Anastasiia Kargapoltseva, Ivan Mazurenko, Yepan Xiong:
ISyNet: Convolutional Neural Networks design for AI accelerator. - Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. - Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. - Shreya Sharma, Samiya Caur, Hitkul, Ponnurangam Kumaraguru:
Influence of NaMo App on Twitter. - Hashim A. Hashim:
Asymptotically Stable Observer-based Controller for Attitude Tracking with Systematic Convergence. - Leandro Rodrigues de Souza, Rodrigo Nogueira, Roberto A. Lotufo:
On the ability of monolingual models to learn language-agnostic representations. - Yuping Fan:
Application Checkpoint and Power Study on Large Scale Systems. - Uriya Pesso, Koby Bibas, Meir Feder:
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness. - Jim Apple:
Stretching Your Data With Taffy Filters. - Jeremy Hyrkas:
Network Modulation Synthesis: New Algorithms for Generating Musical Audio Using Autoencoder Networks. - Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. - Artem Pelenitsyn, Julia Belyakova, Benjamin Chung, Ross Tate, Jan Vitek:
Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation (Extended Version). - Rakesh Chada, Pradeep Natarajan:
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models. - Nikzad Khani, Matthew Kluska:
An Exploration of Deep Learning Methods in Hungry Geese. - Andrew D. Cummins, David G. M. Mitchell, Daniel J. Costello Jr.:
Iterative Threshold Decoding of Spatially Coupled, Parallel-Concatenated Codes. - Wanyu Du, Yangfeng Ji:
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. - Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang:
Counterfactual Evaluation for Explainable AI. - Guangyi Liu, Christoforos Somarakis, Nader Motee:
Risk of Cascading Failures in Time-Delayed Vehicle Platooning. - Zhuojia Gu, Hancheng Lu, Chenkai Zou:
Horizontal and Vertical Collaboration for VR Delivery in MEC-Enabled Small-Cell Networks. - Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein:
Deep Saliency Prior for Reducing Visual Distraction. - Brian DuSell, David Chiang:
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. - Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. - Miao Zhao, Yufeng Ma, Min Liu, Minqiang Xu:
The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021. - Bingsheng Zhang, Zengpeng Li, Jan Willemson:
UC Modelling and Security Analysis of the Estonian IVXV Internet Voting System. - Renchunzi Xie, Mahardhika Pratama:
Automatic Online Multi-Source Domain Adaptation. - Alexei Lisitsa, Andrei P. Nemytykh:
Proceedings of the 9th International Workshop on Verification and Program Transformation, VPT@ETAPS 2021, Luxembourg, Luxembourg, 27th and 28th of March 2021. EPTCS 341, 2021 [contents] - Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You:
Sparse-MLP: A Fully-MLP Architecture with Conditional Computation. - Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng:
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement. - Zengpeng Li, Teik Guan Tan, Pawel Szalachowski, Vishal Sharma, Jianying Zhou:
Post-Quantum VRF and its Applications in Future-Proof Blockchain System. - Vedant Ghodke, Jyoti Madake:
Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot. - Mohammad Khajenejad, Fatima Shoaib, Sze Zheng Yong:
Guaranteed State Estimation via Indirect Polytopic Set Computation for Nonlinear Discrete-Time Systems. - Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha:
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. - Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. - Deepak Sharma, Bijendra Kumar, Satish Chand:
Recommending Researchers in Machine Learning based on Author-Topic Model. - Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu:
Structural Optimization Makes Graph Classification Simpler and Better. - Kerui Song, Pin Lyu:
A high-order and fast scheme with variable time steps for the time-fractional Black-Scholes equation. - Zhenhui Ye, Xiaohong Jiang, Guanghua Song, Bowei Yang:
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments. - Stefano Berrone, Claudio Canuto, Moreno Pintore:
Variational Physics Informed Neural Networks: the role of quadratures and test functions. - Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li:
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. - Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz:
Data Efficient Masked Language Modeling for Vision and Language. - M. Ali Tunc, Emre Gures, Ibraheem Shayea:
A Survey on IoT Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Trends. - Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. - Keke Wang, Xudong Mao, Hao Wu, Chen Ding, Chuxiang Shang, Rui Xia, Yuxuan Wang:
The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021. - Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. - Amir Mohammad Rostami, Mohammad Mehdi Homayounpour, Ahmad Nickabadi:
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection. - Josef Slavícek, Albert Swart, Michal Klco, Niko Brümmer:
The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description. - Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. - Jinqiang Wang, Tao Zhu, Jingyuan Gan, Huansheng Ning, Yaping Wan:
Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition. - Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. - Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang:
How Do Practitioners Interpret Conditionals in Requirements? - Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang:
Hierarchical Object-to-Zone Graph for Object Navigation. - Wrya K. Kadir:
A Delicately Restricted Channel and Decoding of Maximum Rank Distance Codes. - Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid:
End-to-End Self-Debiasing Framework for Robust NLU Training. - Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak:
Global-Local Item Embedding for Temporal Set Prediction. - Bülent Karasözen, Murat Uzunca, Gülden Mülayim:
Nonintrusive model order reduction for cross-diffusion systems. - Ankit Agrawal, Jane Cleland-Huang:
Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems. - Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng:
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution. - Mohammad Arab:
Providing an Approach to Predicting Customer Quality in E-Commerce Social Networks Based on Big Data and Unsupervised Learning Method. - Tong Sha, Wei Zhang, Tong Shen, Zhoujun Li, Tao Mei:
Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis. - Kaan Gökcesu, Hakan Gökcesu:
Nonparametric Extrema Analysis in Time Series for Envelope Extraction, Peak Detection and Clustering. - Guannan Hu, Sarah L. Dance:
Efficient computation of matrix-vector products with full observation weighting matrices in data assimilation. - Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. - Yan Wang, Xilin Han, Weiqiong Wang, Ziling Heng:
Linear complexity over Fq and 2-adic complexity of a class of binary generalized cyclotomic sequences with low-value autocorrelation. - Russell Sammut Bonnici, Charalampos Saitis, Martin Benning:
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. - Kailong Hao, Botao Yu, Wei Hu:
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction. - Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. - Gabriel Recchia:
Teaching Autoregressive Language Models Complex Tasks By Demonstration. - Yufeng Zhang, Shuai Li, Karen J. Nolan, Damiano Zanotto:
Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning. - Ken Joffaniel Gonzales:
Steady state distributions in generalized exclusion processes. - Arinta Auza, Troy Lee:
On the query complexity of connectivity with global queries. - (Withdrawn) Underwater 3D Reconstruction Using Light Fields.
- Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
VARGAN: Variance Enforcing Network Enhanced GAN. - Steven Carrell, Amir Atapour Abarghouei:
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking. - Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli, Warren J. Gross:
Decoding Reed-Muller Codes with Successive Factor-Graph Permutations. - Jianxiong Shen, Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer:
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. - Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng:
Efficient Action Recognition Using Confidence Distillation. - Pingfan Xu:
A Transformer-based Model to Detect Phishing URLs. - Reza Rezaie, X. Rong Li:
Guidance Trajectory Mathematical Modeling. - Deepak-George Thomas:
Temporal Aware Deep Reinforcement Learning. - Yalchin Efendiev, Wing Tat Leung, Guang Lin, Zecheng Zhang:
HEI: hybrid explicit-implicit learning for multiscale problems. - Jomy John:
Spatial Domain Feature Extraction Methods for Unconstrained Handwritten Malayalam Character Recognition. - Rain Jiang, Kai Jiang, Minghui Jiang:
Linking disjoint axis-parallel segments into a simple polygon is hard too. - Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean:
Learning with Holographic Reduced Representations. - Jirí Balun, Tomás Masopust:
K-Step Opacity in Discrete Event Systems: Verification, Complexity, and Relations. - Arnab Dey, Andrew Heger, Darin England:
Urban Fire Station Location Planning: A Systematic Approach using Predicted Demand and Service Quality Index. - Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh:
Modular Framework for Visuomotor Language Grounding. - Yehonatan Fridman, Yaniv Snir, Matan Rusanovsky, Kfir Zvi, Harel Levin, Danny Hendler, Hagit Attiya, Gal Oren:
Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing. - Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces. - Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. - Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. - Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko:
Square Root Marginalization for Sliding-Window Bundle Adjustment. - Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos:
Dimensionality, Coordination, and Robustness in Voting. - Dibbendu Roy, Aravinda S. Rao, Tansu Alpcan, Goutam Das, Marimuthu Palaniswami:
Achieving QoS for Real-Time Bursty Applications over Passive Optical Networks. - Yi Xiong, Zhongkui Li:
Privacy-Preserved Average Consensus Algorithms with Edge-based Additive Perturbations. - Yong Liu, Jianfang Lu, Qi Tao, Yinhua Xia:
A well-balanced oscillation-free discontinuous Galerkin method for shallow water equations. - Fengpei Yuan, Ran Zhang, Dania Bilal, Xiaopeng Zhao:
Learning-Based Strategy Design for Robot-Assisted Reminiscence Therapy Based on a Developed Model for People with Dementia. - Andre Kornell, Bert Lindenhovius, Michael W. Mislove:
Quantum CPOs. 174-187 - Robert Rand, Aarthi Sundaram, Kartik Singhal, Brad Lackey:
Gottesman Types for Quantum Programs. 279-290 - Kartik Singhal, John H. Reppy:
Quantum Hoare Type Theory: Extended Abstract. 291-302 - Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, Gui-Song Xia:
Parsing Table Structures in the Wild. - Shiri Dori-Hacohen, Roberto E. Montenegro, Fabricio Murai, Scott A. Hale, Keen Sung, Michela Blain, Jennifer Edwards-Johnson:
Fairness via AI: Bias Reduction in Medical Information. - Binwei Wu, Jiasen Wang, Yanyan Wang, Weiqian Tan, Yudong Huang:
Achieving Deterministic Service in Mobile Edge Computing (MEC) Networks. - Masaaki Kanzaki, Yota Otachi, Ryuhei Uehara:
Computational Complexity of Jumping Block Puzzles. - Hongwei Xue, Bei Liu, Huan Yang, Jianlong Fu, Houqiang Li, Jiebo Luo:
Learning Fine-Grained Motion Embedding for Landscape Animation. - Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou:
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical. - Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu:
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. - M. Saiful Bari, Batool Haider, Saab Mansour:
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification. - Zhixuan Zhang, Chi Zhang, Zhenning Niu, Le Wang, Yuehu Liu:
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph. - Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li:
Learning to Generate Scene Graph from Natural Language Supervision. - Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang:
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. - Yasuhiko Asao, Jumpei Nagase, Ryotaro Sakamoto, Shiro Takagi:
Image recognition via Vietoris-Rips complex. - Yi-Lun Wu, Hong-Han Shuai, Zhi Rui Tam, Hong-Yu Chiu:
Gradient Normalization for Generative Adversarial Networks. - Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. - Mohammed A. Teeti:
Bit Density Based Signal and Jamming Detection in 1-Bit Quantized MIMO Systems. - Alexander Krolicki, Pierre-Yves Lavertu:
Supervised DKRC with Images for Offline System Identification. - Young Kyun Jang, Nam Ik Cho:
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval. - Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find Bugs in Static Bug Finders. - Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
STaCK: Sentence Ordering with Temporal Commonsense Knowledge. - Mohammed Amine Gharsallaoui, Islem Rekik:
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data. - Shahnewaz Ali, Yaqub Jonmohamadi, Ross Crawford, Davide Fontanarosa, Ajay K. Pandey:
Surgery Scene Restoration for Robot Assisted Minimally Invasive Surgery. - Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Florence T. Bourgeois, Adam G. Dunn:
Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations. - Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Min-Hyuk Sung, Junho Kim:
CTRL-C: Camera calibration TRansformer with Line-Classification. - Aryan Verma:
Encryption and Real Time Decryption for protecting Machine Learning models in Android Applications. - Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs:
MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks. - Meliksah Turker, Haluk O. Bingol:
Multi-layer network approach in modeling epidemics in an urban town. - Charalampos Orfanidis, Atis Elsts, Paul Pop, Xenofon Fafoutis:
TSCH Evaluation under heterogeneous Mobile Scenarios. - Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu:
Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing. - Khawla Mallat, Fabiola Becerra-Riera, Annette Morales-González, Heydi Méndez-Vázquez, Jean-Luc Dugelay:
Does Melania Trump have a body double from the perspective of automatic face recognition? - Minghao Wu, Yitong Li, Meng Zhang, Liangyou Li, Gholamreza Haffari, Qun Liu:
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training. - Lu Zhao, Heping Dong, Fuming Ma:
Inverse obstacle scattering for elastic waves in the time domain. - Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai:
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images. - Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text. - Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou:
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. - Emmanuel Senft, Michael Hagenow, Kevin Welsh, Robert G. Radwin, Michael R. Zinn, Michael Gleicher, Bilge Mutlu:
Task-Level Authoring for Remote Robot Teleoperation. - Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li:
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation. - Carlos Diego Nascimento Damasceno, Isotilia Costa Melo, Daniel Strüber:
Towards Multi-Criteria Prioritization of Best Practices in Research Artifact Sharing. - Ahtsham Manzoor, Dietmar Jannach:
Towards Retrieval-based Conversational Recommendation. - Ruijie Meng, Zhen Dong, Jialin Li, Ivan Beschastnikh, Abhik Roychoudhury:
Finding Counterexamples of Temporal Logic properties in Software Implementations via Greybox Fuzzing. - Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun:
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. - Daniele Meli, Eleonora Tagliabue, Diego Dall'Alba, Paolo Fiorini:
Autonomous tissue retraction with a biomechanically informed logic based framework. - Tal Perry:
LightTag: Text Annotation Platform. - Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. - Ibrahim Faruk Ceylan, Necmettin Bera Calik, Mert Yapucuoglu, Ahmet Yavuz Uluslu:
Hocalarim: Mining Turkish Student Reviews. - Van-Phuc Bui, Trinh Van Chien, Eva Lagunas, Joël Grotz, Symeon Chatzinotas, Björn E. Ottersten:
Robust Congestion Control for Demand-Based Optimization in Precoded Multi-Beam High Throughput Satellite Communications. - Christian Berger, Philipp Eichhammer, Hans P. Reiser, Jörg Domaschka, Franz J. Hauck, Gerhard Habiger:
A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms. - Matteo Luperto, Valerio Castelli, Francesco Amigoni:
Predicting Performance of SLAM Algorithms. - Ning Wei, Jiahua Liang, Di Xie, Shiliang Pu:
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning. - Linh Anh Nguyen, Ngoc Thanh Nguyen:
Characterizing Crisp Simulations and Crisp Directed Simulations between Fuzzy Labeled Transition Systems by Using Fuzzy Modal Logics. - Ömer Sen, Dennis van der Velde, Katharina A. Wehrmeister, Immanuel Hacker, Martin Henze, Michael Andres:
Towards an Approach to Contextual Detection of Multi-Stage Cyber Attacks in Smart Grids. - Omri Lev, Anatoly Khina:
Universal Joint Source-Channel Coding Under an Input Energy Constraint. - Morgan K. Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. - (Withdrawn) Information Theory-Guided Heuristic Progressive Multi-View Coding.
- Wolfgang Fuhl:
Tensor Normalization and Full Distribution Training. - Peter Mihal, Martin Schvarcbacher, Bruno Rossi, Tomás Pitner:
Smart Grids Co-Simulations: Survey & Research Directions. - Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar:
Fair Federated Learning for Heterogeneous Face Data. - Sotirios Brotsis, Konstantinos Limniotis, Gueltoum Bendiab, Nicholas Kolokotronis, Stavros Shiaeles:
On the Suitability of Blockchain Platforms for IoT Applications: Architectures, Security, Privacy, and Performance. - Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning. - Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, Xiaoyu Zhang, Xianzhong Zhou:
Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning. - Robin Vogel, Stéphan Clémençon, Pierre Laforgue:
Visual Recognition with Deep Learning from Biased Image Datasets. - Marinos Poiitis, Pavlos Sermpezis, Athena Vakali:
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning. - Jozef Michal Mintal, Anna Macko, Marko Pala, Frantiska Pirosková, Pavlo Yakubets, Jaroslav Usiak, Karol Fabián:
Examining the tech stacks of Czech and Slovak untrustworthy websites. - Alexander Maletzky, Stefan Thumfart, Christoph Wruß:
Comparing the Machine Readability of Traffic Sign Pictograms in Austria and Germany. - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment. - Georgios Kopanas, Julien Philip, Thomas Leimkühler, George Drettakis:
Point-Based Neural Rendering with Per-View Optimization. - Bhanuka Manesha Samarasekara Vitharana Gamage, Chern Hong Lim:
Improved RAMEN: Towards Domain Generalization for Visual Question Answering. - Hao Xing, Yuxuan Xue, Mingchuan Zhou, Darius Burschka:
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information. - Peng Chen:
PermuteFormer: Efficient Relative Position Encoding for Long Sequences. - Lennart M. Reimann, Luca Hanel, Dominik Sisejkovic, Farhad Merchant, Rainer Leupers:
QFlow: Quantitative Information Flow for Security-Aware Hardware Design in Verilog. - Xi Li, George Kesidis, David J. Miller, Vladimir Lucic:
Backdoor Attack and Defense for Deep Regression. - Giuseppe Desolda, Francesco Greco, Francisco Guarnieri, Nicole Mariz, Massimo Zancanaro:
SENSATION: An Authoring Tool to Support Event-State Paradigm in End-User Development. - Niclas Hildebrandt, Benedikt T. Boenninghoff, Dennis Orth, Christopher Schymura:
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven. - Mehdi Rahimi, Yantao Shen, Zhiming Liu, Fang Jiang:
Printed Texts Tracking and Following for a Finger-Wearable Electro-Braille System Through Opto-electrotactile Feedback. - Carlo H. Godoy Jr.:
Augmented Reality for Education: A Review. - Wolfgang Höhl:
Ambiguity in Utopian XR-Games. Basic Principles for the Design of Virtual Worlds. - Sebastian Bischoff, Stephan Günnemann, Martin Jaggi, Sebastian U. Stich:
On Second-order Optimization Methods for Federated Learning. - Rami Hamdi, Emna Baccour, Aiman Erbad, Marwa K. Qaraqe, Mounir Hamdi:
LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks. - Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Redwan Karim Sony, Md. Hasanul Kabir:
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification. - Kun Zhai, Qiang Ren, Junli Wang, Chungang Yan:
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data. - Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. - Tiezheng Yu, Wenliang Dai, Zihan Liu, Pascale Fung:
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization. - Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. - Anurudh Peduri, Siddharth Bhat:
QSSA: An SSA-based IR for Quantum Computing. - S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo:
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning. - Vasileios Koutsouvelis, Stavros Shiaeles, Bogdan Ghita, Gueltoum Bendiab:
Detection of Insider Threats using Artificial Intelligence and Visualisation. - Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multi-task Balanced and Recalibrated Network for Medical Code Prediction. - Zhong Ji, Jin Li, Qiang Wang, Zhongfei Zhang:
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision. - Yasuyuki Suzuki, Keigo Togame, Akihiro Nakamura, Taishin Nomura:
Stochastic on-off switching dynamics in a model of intermittent control during human quiet stance: A finite Markov chain approximation of switched Fokker-Planck equations. - Lan Jiang, Tianshu Lyu, Chong Meng, Xiaoyong Lyu, Dawei Yin:
Exposing Length Divergence Bias of Textual Matching Models. - Joy Tzung-yu Wu, Miguel Ángel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi:
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study. - Sin-ichi Inage, Hana Hebishima:
Application of Monte Carlo Stochastic Optimization (MOST) to Deep Learning. - Armin Salimi-Badr, Mohammad Hashemi, Hamidreza Saffari:
Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System. - Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. - Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari:
Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis. - Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su:
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement. - (Withdrawn) On non-structural subtype entailment.
- Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam, Mohammad Ali Moni:
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets. - Amin Ghazanfari, Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Learning to Perform Downlink Channel Estimation in Massive MIMO Systems. - Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang:
Practical and Secure Federated Recommendation with Personalized Masks. - Eder Batista Tchawou Tchuisseu, Eric-Donald Ndogmo, Pavel Procházka, Damià Gomila, Paul Woafo, Pere Colet, Benjamin Schäfer:
Secondary frequency control stabilizing voltage dynamics. - Elena Trajkova, Joze M. Rozanec, Paulien Dam, Blaz Fortuna, Dunja Mladenic:
Active Learning for Automated Visual Inspection of Manufactured Products. - Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. - Furkan Yesiler, Guillaume Doras, Rachel M. Bittner, Christopher J. Tralie, Joan Serrà:
Audio-based Musical Version Identification: Elements and Challenges. - Elijah Pelofske, Lorie M. Liebrock, Vincent Urias:
An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity. - Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing. - Allison J. B. Chaney:
Recommendation System Simulations: A Discussion of Two Key Challenges. - Shashank Joshi:
Feasibility of Proof of Authority as a Consensus Protocol Model. - Joshua Landgraf, Tiffany Yang, Will Lin, Christopher J. Rossbach, Eric Schkufza:
Compiler-Driven FPGA Virtualization with SYNERGY. - Samarth Bhatia, Yukti Makhija, Shalendra Singh, Ishaan Gupta:
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients. - Daniel Flam-Shepherd, Tony C. Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik:
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models. - Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. - Ashly Lau, Jonathan Passerat-Palmbach:
Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques. - Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. - Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. - Temur Kutsia:
Proceedings of the 9th International Symposium on Symbolic Computation in Software Science, SCSS 2021, Hagenberg, Austria, September 8-10, 2021. EPTCS 342, 2021 [contents] - Gian Marti, Oscar Castañeda, Christoph Studer:
Jammer Mitigation via Beam-Slicing for Low-Resolution mmWave Massive MU-MIMO. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. - Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid:
An Axiomatic Perspective on the Performance Effects of End-Host Path Selection. - Sougata Saha, Souvik Das, Elizabeth Soper, Erin Pacquetet, Rohini K. Srihari:
Proto: A Neural Cocktail for Generating Appealing Conversations. - Mathieu Simon, Alessandro Spallina, Loic Dubocquet, Andrea Araldo:
Parsimonious Edge Computing to Reduce Microservice Resource Usage. - Martin Fürer, Carlos Hoppen, Vilmar Trevisan:
Efficient diagonalization of symmetric matrices associated with graphs of small treewidth. - Xingen Gao, Fei Chao, Changle Zhou, Zhen Ge, Chih-Min Lin, Longzhi Yang, Xiang Chang, Changjing Shang:
Error Controlled Actor-Critic. - Shuoguang Yang, Van-Anh Truong:
Online Learning of Independent Cascade Models with Node-level Feedback. - Elochukwu A. Ukwandu, Robert Onyeneke:
Teachers Without Borders. - Weining Zheng, Yuan Jiang, Xiaohong Su:
VulSPG: Vulnerability detection based on slice property graph representation learning. - Andrea Piazzoni, Jim Cherian, Mohamed Azhar, Jing Yew Yap, James Lee Wei Shung, Roshan Vijay:
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles. - Ambrish Rawat, Mathieu Sinn, Beat Buesser:
Automated Robustness with Adversarial Training as a Post-Processing Step. - Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low:
Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search. - Lucia Cipolina-Kun, Simone Caenazzo, Gaston Mazzei, Aditya Srinivas Menon:
Image In painting Applied to Art Completing Escher's Print Gallery. - Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha:
Towards API Testing Across Cloud and Edge. - Shunyi Yao, Guangda Chen, Quecheng Qiu, Jun Ma, Xiaoping Chen, Jianmin Ji:
Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning. - John Weldon, Tomás Ward, Eoin Brophy:
Generation of Synthetic Electronic Health Records Using a Federated GAN. - Joseph R. Rose, Matthew Swann, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis:
Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT. - Kris Cao, Laura Rimell:
You should evaluate your language model on marginal likelihood over tokenisations. - Martin Campos Pinto, Yaman Güçlü:
Broken-FEEC approximations of Hodge Laplace problems. - Maurits de Groot, Jelle Schutte, David Graus:
Job Posting-Enriched Knowledge Graph for Skills-based Matching. - Milad Moradi, Kathrin Blagec, Florian Haberl, Matthias Samwald:
GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain. - Xiangyu Xu, Chen Change Loy:
3D Human Texture Estimation from a Single Image with Transformers. - Efthimios Pantelidis, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis:
Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks. - Wanyun Cui, Xingran Chen:
Enhancing Language Models with Plug-and-Play Large-Scale Commonsense. - Inbar Oren, Jonathan Herzig, Jonathan Berant:
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. - Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He:
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation. - Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. - Eleftherios E. Vlahakis, Nikolaos Athanasopoulos, Seán F. McLoone:
AIMD scheduling and resource allocation in distributed computing systems. - Kaihao Guo, Tianpei Jiang, Haipeng Zhang:
Knowledge Graph Enhanced Event Extraction in Financial Documents. - Oyvind Tafjord, Peter Clark:
General-Purpose Question-Answering with Macaw. - Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev:
Scikit-dimension: a Python package for intrinsic dimension estimation. - Srinivasan Arunachalam, João F. Doriguello:
Matrix hypercontractivity, streaming algorithms and LDCs: the large alphabet case. - Alexandre Capone, Armin Lederer, Sandra Hirche:
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. - Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro:
EsmamDS: A more diverse exceptional survival model mining approach. - Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu:
Class Semantics-based Attention for Action Detection. - Evan Casey, Víctor Pérez, Zhuoru Li, Harry Teitelman, Nick Boyajian, Tim Pulver, Mike Manh, William Grisaitis:
The Animation Transformer: Visual Correspondence via Segment Matching. - Rain Jiang, Kai Jiang, Minghui Jiang:
Disjoint axis-parallel segments without a circumscribing polygon. - Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza:
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. - Guande Wu, Jianzhe Lin, Cláudio T. Silva:
ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN. - Ryota Ido, Shengjuan Cao, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
A Method for Inferring Polymers Based on Linear Regression and Integer Programming. - Jingzhi Tu, Gang Mei, Francesco Piccialli:
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving. - Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro:
Guiding Global Placement With Reinforcement Learning. - Mingtian Zhang, Andi Zhang, Steven McDonagh:
On the Out-of-distribution Generalization of Probabilistic Image Modelling. - Aan Erlansari, Rusdi Efendi, Funny Farady C, Andang Wijanarko, Boko Susilo, Reza Hardiansyah:
Backpropagation and fuzzy algorithm Modelling to Resolve Blood Supply Chain Issues in the Covid-19 Pandemic. - Abdulaziz Alaboudi, Thomas D. LaToza:
Edit-Run Behavior in Programming and Debugging. - Jianzhe Lin, Tianze Yu, Z. Jane Wang:
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification. - Eamon Whalen, Caitlin Mueller:
Towards Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses. - Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner:
SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms". - Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone:
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes. - Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida:
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. - Rushit Dave:
IoT Security and Authentication schemes Based on Machine Learning: Review. - Sai Nikhil Gona, Prithvi Raj Bandhakavi:
Intelligent Motion Planning for a Cost-effective Object Follower Mobile Robotic System with Obstacle Avoidance. - Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis:
gen2Out: Detecting and Ranking Generalized Anomalies. - Yu Li, Muhammad Monjurul Karim, Ruwen Qin:
A Virtual Reality-based Training and Assessment System for Bridge Inspectors with an Assistant Drone. - Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle:
An Evaluation-Focused Framework for Visualization Recommendation Algorithms. - Xueqing Wu, Jiacheng Zhang, Hang Li:
Text-to-Table: A New Way of Information Extraction. - Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pitas:
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms. - Yuankai Wu, Zhanhong Cheng, Lijun Sun:
Individual Mobility Prediction via Attentive Marked Temporal Point Processes. - Reenul Reedha, Eric Dericquebourg, Raphaël Canals, Adel Hafiane:
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images. - Barbara Caroline Benato, Alexandru C. Telea, Alexandre X. Falcão:
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling. - Michal Wrona:
Tractability Frontier for Dually-Closed Temporal Quantified Constraint Satisfaction Problems. - Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten:
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration. - Andrew Yeh, Anhthy Ngo:
Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots. - Kamil Kluczniak, Leonard Schild:
FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption. - Xinyu Wu:
Analyzing XOR-Forrelation through stochastic calculus. - Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Y. Halevy:
Detecting Inspiring Content on Social Media. - Li Lin, Michael Keidar:
An Intelligent Material with Chemical Pathway Networks. - Runyu Mao, Jiangpeng He, Luotao Lin, Zeman Shao, Heather A. Eicher-Miller, Fengqing Zhu:
Improving Dietary Assessment Via Integrated Hierarchy Food Classification. - Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar:
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. - Tejas Mane, Aylar Bayramova, Kostas Daniilidis, Philippos Mordohai, Elena Bernardis:
Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications. - Stefan Hoffmann:
Constrained Synchronization for Commutative Automata and Automata with Simple Idempotents. - Elijah S. Lee:
Active Perception with Neural Networks. - Oana Ignat, Santiago Castro, Hanwen Miao, Weiji Li, Rada Mihalcea:
WhyAct: Identifying Action Reasons in Lifestyle Vlogs. - Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. - Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation. - Moacir Antonelli Ponti, Fernando Pereira dos Santos, Leo Sampaio Ferraz Ribeiro, Gabriel Biscaro Cavallari:
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond. - Yufang Hou:
End-to-end Neural Information Status Classification. - Ehsan Mohammadpour, Jean-Yves Le Boudec:
Analysis of Dampers in Time-Sensitive Networks with Non-ideal Clocks. - Matthew Swann, Joseph R. Rose, Gueltoum Bendiab, Stavros Shiaeles, Nick Savage:
Tools for Network Traffic Generation - A Quantitative Comparison. - Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala:
STRIVE: Scene Text Replacement In Videos. - Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. - Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim:
Robustness and Generalization via Generative Adversarial Training. - Iman Shafikhani, Hazhar Sufi Karimi, Mohammad Mohammadian, Amin Ramezani, Hamid Reza Momeni:
A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays. - Tianxi Ji, Erman Ayday, Emre Yilmaz, Pan Li:
Differentially-Private Fingerprinting of Relational Databases. - Yuki Okafuji, Yasunori Ozaki, Jun Baba, Junya Nakanishi, Kohei Ogawa, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Behavioral assessment of a humanoid robot when attracting pedestrians in a mall. - Tianxing He, Kyunghyun Cho, James R. Glass:
An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models. - Zhongwei Teng, Quchen Fu, Jules White, Maria E. Powell, Douglas C. Schmidt:
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model. - Quchen Fu, Zhongwei Teng, Jules White, Maria E. Powell, Douglas C. Schmidt:
FastAudio: A Learnable Audio Front-End for Spoof Speech Detection. - Mohannad Alhanahnah, Rithik Jain, Vaibhav Rastogi, Somesh Jha, Thomas W. Reps:
Lightweight, Multi-Stage, Compiler-Assisted Application Specialization. - Tanaka Kanji:
Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor. - Zhiqi Huang, Hamed R. Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan:
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval. - Mingyu Cai, Cristian-Ioan Vasile:
Safe-Critical Modular Deep Reinforcement Learning with Temporal Logic through Gaussian Processes and Control Barrier Functions. - Chun Liu, Cheng Wang, Yiwei Wang:
A second-order accurate, operator splitting scheme for reaction-diffusion systems in an energetic variational formulation. - Shibo Li, Dominik Scheder:
Impatient PPSZ - a Faster algorithm for CSP. - David Noever, Ryerson Burdick:
Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach. - Sudhakar Chaudhary, Pari J. Kundaliya:
L1 scheme on graded mesh for subdiffusion equation with nonlocal diffusion term. - Luis Berlioz:
ArGoT: A Glossary of Terms extracted from the arXiv. 14-21 - Yannick Chevalier, Michaël Rusinowitch:
Implementing Security Protocol Monitors. 22-34 - Ivan Fedotov, Anton Khritankov:
Statistical Model Checking of Common Attack Scenarios on Blockchain. 65-77 - Guannan Dong, Chi-Man Pun, Zheng Zhang:
Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation. - Wolfgang Schreiner, Franz-Xaver Reichl:
First-Order Logic in Finite Domains: Where Semantic Evaluation Competes with SMT Solving. 99-113 - Bruno Buchberger:
Symbolic Computation in Software Science: My Personal View. 1-13 - Xiong Liu, Cheng Shi, Uday Deore, Yingbo Wang, Myah Tran, Iya Khalil, Murthy V. Devarakonda:
A Scalable AI Approach for Clinical Trial Cohort Optimization. - Guannan Dong, Chi-Man Pun, Zheng Zhang:
Kinship Verification Based on Cross-Generation Feature Interaction Learning. - Maria Bendix Mikkelsen, Robert Glück, Maja H. Kirkeby:
An Inversion Tool for Conditional Term Rewriting Systems - A Case Study of Ackermann Inversion. 33-41 - Raymond M. Zayas, Logan E. Beaver, Behdad Chalaki, Heeseung Bang, Andreas A. Malikopoulos:
A Digital Smart City for Emerging Mobility Systems. - Antonina Nepeivoda:
Program Specialization as a Tool for Solving Word Equations. 42-72 - Isabella Mastroeni, Vincenzo Arceri:
Improving Dynamic Code Analysis by Code Abstraction. 17-32 - Ekaterina Verbitskaia, Daniil Berezun, Dmitry Boulytchev:
An Empirical Study of Partial Deduction for miniKanren. 73-94 - Hao Chen:
List-decodable Codes and Covering Codes. - Zejiang Hou, Sun-Yuan Kung:
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. - Peixin Chang, Shuijing Liu, Katherine Driggs Campbell:
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. - Zhu Jin, Wen-Kang Jia:
P3FA: Unified Unicast/Multicast Forwarding with Low Egress Diversities. - Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. - Kaixin Ma, Filip Ilievski, Jonathan Francis, Satoru Ozaki, Eric Nyberg, Alessandro Oltramari:
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models. - Ananya Bhattacharjee, S. M. Taiabul Haque, Abdul Hady, S. M. Raihanul Alam, Mashfiqui Rabbi, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study. - Zhiqiang Cai, Jingshuang Chen, Min Liu:
Self-adaptive deep neural network: Numerical approximation to functions and PDEs. - Shuai Shao, Lei Xing, Yixin Chen, Yanjiang Wang, Bao-Di Liu, Yicong Zhou:
CIM: Class-Irrelevant Mapping for Few-Shot Classification. - Jin Xie, Xinyu Li, Liang Gao, Lin Gui:
A new neighborhood structure for job shop scheduling problems. - Jing Sun, Weihua Deng, Daxin Nie:
Numerical approximations for the fractional Fokker-Planck equation with two-scale diffusion. - Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf:
Datasets: A Community Library for Natural Language Processing. - Elijah S. Lee, Daigo Shishika, Giuseppe Loianno, Vijay Kumar:
Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practice. - Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. - Ruwen Bai, Min Li, Bo Meng, Fengfa Li, Junxing Ren, Miao Jiang, Degang Sun:
GCsT: Graph Convolutional Skeleton Transformer for Action Recognition. - Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh:
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper). - Tomohiko Mizutani:
Refinement of Hottopixx and its Postprocessing. - Xuewen Yang, Svebor Karaman, Joel R. Tetreault, Alex Jaimes:
Journalistic Guidelines Aware News Image Captioning. - Thomas P. Quinn, Simon Coghlan:
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education. - Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. - Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng:
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning. - Yujin Tang, David Ha:
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning. - S. M. Zobaed, Md Fazle Rabby, Md Istiaq Hossain, Ekram Hossain, Sazib Hasan, Asif Karim, Khan Md. Hasib:
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning. - Saranphon Phaithoon, Supakarn Wongnil, Patiphol Pussawong, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto:
FixMe: A GitHub Bot for Detecting and Monitoring On-Hold Self-Admitted Technical Debt. - Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang:
Integrating Regular Expressions with Neural Networks via DFA. - Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
Adversarial Parameter Defense by Multi-Step Risk Minimization. - Shiyu Shen, Feng He, Zhichuang Liang, Yang Wang, Yunlei Zhao:
OSKR/OKAI: Systematic Optimization of Key Encapsulation Mechanisms from Module Lattice. - Mahmoud Shoush, Marlon Dumas:
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. - Willem Fletcher, Titus H. Klinge, James I. Lathrop, Dawn A. Nye, Matthew Rayman:
Robust Real-time Computing with Chemical Reaction Networks. - Giampaolo Bella, Domenico Cantone, Cristiano Longo, Marianna Nicolosi Asmundo, Daniele Francesco Santamaria:
Blockchains through ontologies: the case study of the Ethereum ERC721 standard in OASIS (Extended Version). - Pouya Foudeh, Naomie Salim:
An Ontology-Based, Fully Probabilistic, Scalable Method for Human Activity Recognition. - Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. - Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam:
Exploiting Reasoning Chains for Multi-hop Science Question Answering. - Han Wang, Hui Li, Zixian Wang, Baofu Han, Minglong Zhang, Peter Han Joo Chong, Xiaoli Chu, Yang Liu, Soung-Yue Liew, Lunchakorn Wuttisittikulkij:
A P2P Network Topology for Optimizing Partition Tolerance to Reach the CAP Guarantee Bound in Consortium Blockchains. - Xiaodan Shao, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang:
Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access. - Sungyeop Lee, Junghyo Jo:
Scale-invariant representation of machine learning. - Kexin Feng, Theodora Chaspari:
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation. - Huy Q. Vo, Tuong Do, Vi C. Pham, Duy Nguyen, An T. Duong, Quang D. Tran:
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene. - Aidi Pi, Junxian Zhao, Shaoqi Wang, Xiaobo Zhou:
Memory at Your Service: Fast Memory Allocation for Latency-critical Services. - Jungkyoo Shin, Jinyoung Moon:
Learning to Combine the Modalities of Language and Video for Temporal Moment Localization. - Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers. - Suman Sapkota, Manish Juneja, Laurynas Keleras, Pranav Kotwal, Binod Bhattarai:
Brand Label Albedo Extraction of eCommerce Products using Generative Adversarial Network. - Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Fishr: Invariant Gradient Variances for Out-of-distribution Generalization. - Ankush Chopra, Prateek Nagwanshi, Sohom Ghosh:
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain. - Álvaro Martínez Fernández, Lars Ailo Bongo, Edvard Pedersen:
GeneNet VR: Interactive visualization of large-scale biological networks using a standalone headset. - Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes:
Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT. - Mudit Chaudhary, Chandni Saxena, Helen Meng:
Countering Online Hate Speech: An NLP Perspective. - Yansong Gao, Yang Su, Surya Nepal, Damith C. Ranasinghe:
NoisFre: Noise-Tolerant Memory Fingerprints from Commodity Devices for Security Functions. - Corinne Cath, Fieke Jansen:
Dutch Comfort: The limits of AI governance through municipal registers. - Chun Fan, Yufei Tian, Yuxian Meng, Nanyun Peng, Xiaofei Sun, Fei Wu, Jiwei Li:
Paraphrase Generation as Unsupervised Machine Translation. - Seevani Bali, Zeljko Tukovic, Philip Cardiff, Alojz Ivankovic, Vikram Pakrashi:
A cell-centred finite volume formulation of geometrically-exact Simo-Reissner beams with arbitrary initial curvatures. - Katsuyuki Nakamura, Hiroki Ohashi, Mitsuhiro Okada:
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention. - Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer:
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety. - Stefan Brunthaler:
Multi-Level Quickening: Ten Years Later. - Aleksey Postnikov, Aleksander Gamayunov, Gonzalo Ferrer:
CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction. - Christian Gawron, Sebastian Schmidt:
FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments. - Berta Serracanta, Jordi Paillisse, Albert Cabellos, Anna Claiborne, Alberto Rodríguez-Natal, Dave Ward, Fabio Maino:
Wide Area Network Autoscaling for Cloud Applications. - Farshad G. Veshki, Sergiy A. Vorobyov:
Efficient ADMM-based Algorithms for Convolutional Sparse Coding. - Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan:
Don't Go Far Off: An Empirical Study on Neural Poetry Translation. - Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Huang, Caihua Kong, Longgang Dai, Yufeng Li:
Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints. - Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. - Rini Anggrainingsih, Ghulam Mubashar Hassan, Amitava Datta:
BERT based classification system for detecting rumours on Twitter. - Antonio Nappa, Panagiotis Papadopoulos, Matteo Varvello, Daniel Aceituno Gomez, Juan Tapiador, Andrea Lanzi:
POW-HOW: An enduring timing side-channel to evadeonline malware sandboxes. - Naif Alasmari, Radu Calinescu, Colin Paterson, Raffaela Mirandola:
Quantitative Verification with Adaptive Uncertainty Reduction. - Bin Sun, Shaofan Wang, Dehui Kong, Jinghua Li, Baocai Yin:
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation. - Youngju Song, Minki Cho, Dongjae Lee, Chung-Kil Hur:
Abstraction Logic: The Marriage of Contextual Refinement and Separation Logic. - Hasam Khalid, Minha Kim, Shahroz Tariq, Simon S. Woo:
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors. - Matiss Rikters, Toshiaki Nakazawa:
Revisiting Context Choices for Context-aware Machine Translation. - Travis Gagie:
Simple Worst-Case Optimal Adaptive Prefix-Free Coding. - Di Yang, Yinnian He:
Analysis and computation of a pressure-robust method for the rotation form of the stationary incompressible Navier-Stokes equations by using high-order finite elements. - Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes:
Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge. - David Atienza, Concha Bielza, Pedro Larrañaga:
Semiparametric Bayesian Networks. - Mengyuan Zhou, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo:
Sequential Attention Module for Natural Language Processing. - Hailiang Tang, Xiaoji Niu, Tisheng Zhang, Jing Fan, Jingnan Liu:
Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization. - Shinan Liu, Francesco Bronzino, Paul Schmitt, Nick Feamster, Ricardo Borges, Hector Garcia Crespo, Brian Ward:
Understanding Model Drift in a Large Cellular Network. - Haoran Xie, Yichen Peng, Hange Wang, Kazunori Miyata:
SketchMeHow: Interactive Projection Guided Task Instruction with User Sketches. - Richard Brown, Gueltoum Bendiab, Stavros Shiaeles, Bogdan Ghita:
A Novel Multimodal Biometric Authentication System using Machine Learning and Blockchain. - Sicheng Li, Yudai Makioka, Kyousuke Kobayashi, Haoran Xie, Kentaro Takashima:
SpatialViewer: A Remote Work Sharing Tool that Considers Intimacy Among Workers. - Dolev Adas, Gil Einziger, Roy Friedman:
Limited Associativity Makes Concurrent Software Caches a Breeze. - Haripriya Sheshadri, Shwetha Vijayakumar, Ajey P. Jacob, Akhilesh R. Jaiswal:
Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications. - Sung Kim, Morteza Fayazi, Alhad Daftardar, Kuan-Yu Chen, Jielun Tan, Subhankar Pal, Tutu Ajayi, Yan Xiong, Trevor N. Mudge, Chaitali Chakrabarti, David T. Blaauw, Ronald G. Dreslinski, Hun-Seok Kim:
Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm. - Piotr Hofman, Jakub Rózycki:
Linear equations for unordered data vectors. - Noeloikeau F. Charlot, Daniel J. Gauthier, Andrew Pomerance:
High-Resolution Waveform Capture Device on a Cyclone-V FPGA. - Tathagata Banerjee, Matthew Kollada, Pablo Gersberg, Oscar Rodriguez, Jane Tiller, Andrew E. Jaffe, John Reynders:
Predicting Mood Disorder Symptoms with Remotely Collected Videos Using an Interpretable Multimodal Dynamic Attention Fusion Network. - Lihao Zhang, Soung Chang Liew, He Chen:
A Just-In-Time Networking Framework for Minimizing Request-Response Latency of Wireless Time-Sensitive Applications. - Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. - Xinyou Qiu, Xiaoxiang Li, Jian Wang, Yu Wang, Yuan Shen:
A drl based distributed formation control scheme with stream based collision avoidance. - Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. - Sasindu Wijeratne, Sandaruwan Jayaweera, Mahesh Dananjaya, Ajith Pasqual:
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks. - Frank Z. Wang:
Only Six Passive Circuit Elements Exist. - Fillipe Santos, André L. L. de Aquino, Edmundo R. M. Madeira, Raquel S. Cabral:
Temporal complex networks modeling applied to vehicular ad-hoc networks. - Yilin Yin, Chun-An Chou:
Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure. - Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the Effective Rate of NOMA in Underlay Spectrum Sharing. - Shaoxiong Ji, Pekka Marttinen:
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. - Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang:
Sequential Diagnosis Prediction with Transformer and Ontological Representation. - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. - Derek Chen, Zhou Yu:
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation. - Jomy John:
Support Vector Machine for Handwritten Character Recognition. - Mariella Dimiccoli, Herwig Wendt, Pau Batlle:
Learning grounded word meaning representations on similarity graphs. - Hansjörg Albrecher, Dina Finger, Pierre-Olivier Goffard:
Blockchain mining in pools: Analyzing the trade-off between profitability and ruin. - Hojun Jin, Sarvar Hussain Nengroo, Sangkeum Lee, Dongsoo Har:
Power Management of Microgrid Integrated with Electric Vehicles in Residential Parking Station. - Barbara Arbanas Ferreira, Tamara Petrovic, Matko Orsag, J. Ramiro Martinez de Dios, Stjepan Bogdan:
Distributed Allocation and Scheduling of Tasks with Cross-Schedule Dependencies for Heterogeneous Multi-Robot Teams. - Hailiang Tang, Xiaoji Niu, Tisheng Zhang, You Li, Jingnan Liu:
OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer. - Lyndon Benke, Michael Papasimeon, Tim Miller:
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems. - Tobias Bornheim, Niklas Grieger, Stephan Bialonski:
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning. - Naresh Goud Boddu, Rahul Jain, Upendra Kapshikar:
Quantum secure non-malleable-extractors. - Vân Anh Huynh-Thu, Pierre Geurts:
Optimizing model-agnostic Random Subspace ensembles. - Yapeng Gao, Jonas Tebbe, Andreas Zell:
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis. - Thomas Bellitto, Caroline Brosse, Benjamin Lévêque, Aline Parreau:
Locating Dominating Sets in local tournaments. - Matthias Thimm, Federico Cerutti, Mauro Vallati:
Fudge: A light-weight solver for abstract argumentation based on SAT reductions. - Anindya De, Shivam Nadimpalli, Rocco A. Servedio:
Convex Influences. - Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya, Joy Bose:
Sparse Distributed Memory using Spiking Neural Networks on Nengo. - Andreas Diavastos, Trevor E. Carlson:
Efficient Instruction Scheduling using Real-time Load Delay Tracking. - Alexandra Bünger, Martin Stoll:
A low-rank tensor method to reconstruct sparse initial states for PDEs with Isogeometric Analysis. - Mohd Abbas Zaidi, Sathish Reddy Indurthi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim:
Infusing Future Information into Monotonic Attention Through Language Models. - Zhi Zhang, Sheng-hua Zhong, Yan Liu:
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition. - Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon:
Rare Words Degenerate All Words. - Giacomo Garegnani, Andrea Zanoni:
Robust Estimation of Effective Diffusions from Multiscale Data. - Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu:
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. - Mehdi Bagherzadeh, Syed Ahmed, Srilakshmi Sripathi, Raffi Khatchadourian:
Interests, Difficulties, Sentiments, and Tool Usages of Concurrency Developers: A Large-Scale Study on Stack Overflow. - Maximilian A. Köhl:
An Executable Structural Operational Formal Semantics for Python. - Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Yousef:
Smart Traffic Monitoring System using Computer Vision and Edge Computing. - Yuning Du, Chenxia Li, Ruoyu Guo, Cheng Cui, Weiwei Liu, Jun Zhou, Bin Lu, Yehua Yang, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System. - Markus Steimle, Nico Weber:
Toward Generating Sufficiently Valid Test Case Results: A Method for Systematically Assigning Test Cases to Test Bench Configurations in a Scenario-Based Test Approach for Automated Vehicles. - Dell Zhang, Jun Wang:
Recommendation Fairness: From Static to Dynamic. - A. Torres-Hernandez, F. Brambila-Paz, Rodrigo Montúfar-Chaveznava:
Acceleration of the order of convergence of a family of fractional fixed point methods and its implementation in the solution of a nonlinear algebraic system related to hybrid solar receivers. - Ahmad Jafari, Pooyan Broumand, Mohammad Vahab, Nasser Khalili:
An eXtended Finite Element Method Implementation in COMSOL Multiphysics: Solid Mechanics. - Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor:
PEEK: A Large Dataset of Learner Engagement with Educational Videos. - Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn:
PAUSE: Positive and Annealed Unlabeled Sentence Embedding. - Matthew Gwilliam, Adam Teuscher, Connor Anderson, Ryan Farrell:
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization. - Jian Zhu, David Jurgens:
Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles. - Liren Huang, Qi Ye:
Regularized Learning in Banach Spaces. - Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner:
How much pretraining data do language models need to learn syntax? - Mario Alviano:
The pyglaf argumentation reasoner (ICCMA2021). - Wolfgang Dvorák, Matthias König, Johannes Peter Wallner, Stefan Woltran:
Aspartix-V21. - Vinayak Ramkumar, Myna Vajha, P. Vijay Kumar:
Locally Recoverable Streaming Codes for Packet-Erasure Recovery. - Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata:
Aspect-Controllable Opinion Summarization. - Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
Learning to Bid in Contextual First Price Auctions. - Ivan Habernal:
When differential privacy meets NLP: The devil is in the detail. - Edith Elkind, Abheek Ghosh, Paul W. Goldberg:
Contest Design with Threshold Objectives. - Antonio Albanese, Vincenzo Sciancalepore, Xavier Costa-Pérez:
First Responders Got Wings: UAVs to the Rescue of Localization Operations in Beyond 5G Systems. - Ezzat Elokda, Saverio Bolognani, Ashish R. Hota:
A Dynamic Population Model of Strategic Interaction and Migration under Epidemic Risk. - Owen Lockwood:
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning. - Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. - Hui Liu, Zhan Shi, Xiaodan Zhu:
Unsupervised Conversation Disentanglement through Co-Training. - Aman Priyanshu, Aleti Vardhan, Sudarshan Sivakumar, Supriti Vijay, Nipuna Chhabra:
ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models. - Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Interleaved Transformer for Volumetric Segmentation. - Renato Luiz de Freitas Cunha, Luiz Chaimowicz:
On the impact of MDP design for Reinforcement Learning agents in Resource Management. - Dimitri Breda, Simone De Reggi, Francesca Scarabel, Rossana Vermiglio, Jianhong Wu:
Bivariate collocation for computing R0 in epidemic models with two structures. - Manuel Madeira, Renato M. P. Negrinho, João Xavier, Pedro M. Q. Aguiar:
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization. - Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
Robust Predictable Control. - Zizhao Zhang, Tomas Pfister:
Learning Fast Sample Re-weighting Without Reward Data. - Naisha Agarwal:
Recommendation Algorithms to Encourage Equal Access to Influencers in a Network. - Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Van Dung Do, Hai Nguyen, Ngoc Duy Nguyen:
Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds. - Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang:
Revisiting Recursive Least Squares for Training Deep Neural Networks. - Petr Lorenc:
Joint model for intent and entity recognition. - Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos. - Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. - Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson:
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets. - Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Self-supervised Tumor Segmentation through Layer Decomposition. - Thibault Gauthier:
Learned Provability Likelihood for Tactical Search. 78-85 - Sorin Stratulat:
E-Cyclist: Implementation of an Efficient Validation of FOLID Cyclic Induction Reasoning. 129-135 - Eugene Kharitonov, Ann Lee, Adam Polyak, Yossi Adi, Jade Copet, Kushal Lakhotia, Tu Anh Nguyen, Morgane Rivière, Abdelrahman Mohamed, Emmanuel Dupoux, Wei-Ning Hsu:
Text-Free Prosody-Aware Generative Spoken Language Modeling. - Víctor Mayoral Vilches, Giulio Corradi:
Adaptive Computing in Robotics, Leveraging ROS 2 to Enable Software-Defined Hardware for FPGAs. - Krishna D. N:
A Dual-Decoder Conformer for Multilingual Speech Recognition. - Yong Wang:
Truly Concurrent Pi-Calculi with Reversibility, Probabilism and Guards. - Rifat Choudhury:
Analysis of Infinite Stiffness Using PID Controller. - Cosmin Badea:
Have a break from making decisions, have a MARS: The Multi-valued Action Reasoning System. - Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. - David Kanaa, Vikram Voleti, Samira Ebrahimi Kahou, Christopher Pal:
Simple Video Generation using Neural ODEs. - Eric Michael Smith, Adina Williams:
Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models. - Robert Benda, Eric Cancès, Virginie Ehrlacher, Benjamin Stamm:
Multi-center decomposition of molecular densities: a mathematical perspective. - Vidushi Meel, Asritha Bodepudi:
Melatect: A Machine Learning Model Approach For Identifying Malignant Melanoma in Skin Growths. - Iván Alfonso, Kelly Garcés, Harold Castro, Jordi Cabot:
Self-adaptive Architectures in IoT Systems: A Systematic Literature Review. - Tommaso Buvoli, Ben S. Southworth:
Addititive Polynomial Block Methods, Part I: Framework and Fully-Implicit Methods. - Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. - Cristiane Ferreira, Gonçalo Figueira, Pedro Amorim:
Effective and interpretable dispatching rules for dynamic job shops via guided empirical learning. - Kun Chen, Feng Huang, Pidong Wang, Yongbiao Wan, Dong Li, Yao Yao:
Fast random number generator based on optical physical unclonable functions. - Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. - Justin Allen, David Knapp, Kristine Monteith:
Predicting Process Name from Network Data. - Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Real-World Adversarial Examples involving Makeup Application. - Toni Mancini, Igor Melatti, Enrico Tronci:
Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification. - Li Li, Raed Fayad, Adrian Taylor:
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems. - Peter Jansen, Kelly J. Smith, Dan Moreno, Huitzilin Ortiz:
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings. - Runda Ji, Qiqi Wang:
Aerodynamic Risk Assessment using Parametric, Three-Dimensional Unstructured, High-Fidelity CFD and Adaptive Sampling. - Fernanda Hernández-Luquin, Hugo Jair Escalante:
Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition. - Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo:
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. - Yonghao Shi, Gueltoum Bendiab, Stavros Shiaeles, Nick Savage:
SoMIAP: Social media images analysis and prediction framework. - Heng Yang, Luca Carlone:
Certifiable Outlier-Robust Geometric Perception: Exact Semidefinite Relaxations and Scalable Global Optimization. - Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. - Dinesh Valluri, Rory Campbell:
On the space of coefficients of a Feed Forward Neural Network. - Roderick Murray-Smith, John H. Williamson, Andrew Ramsay, Francesco Tonolini, Simon Rogers, Antoine Loriette:
Forward and Inverse models in HCI: Physical simulation and deep learning for inferring 3D finger pose. - Mohamed Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt:
Identifying Influential Nodes in Two-mode Data Networks using Formal Concept Analysis. - Luyi Kang, Yuqi Xue, Weiwei Jia, Xiaohao Wang, Jongryool Kim, Changhwan Youn, Myeong Joon Kang, Hyung Jin Lim, Bruce L. Jacob, Jian Huang:
IceClave: A Trusted Execution Environment for In-Storage Computing. - Matthew Giamou, Filip Maric, David M. Rosen, Valentin Peretroukhin, Nicholas Roy, Ivan Petrovic, Jonathan Kelly:
Convex Iteration for Distance-Geometric Inverse Kinematics. - Robert Shire, Stavros Shiaeles, Keltoum Bendiab, Bogdan Ghita, Nicholas Kolokotronis:
Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation. - Chenyu You, Nuo Chen, Yuexian Zou:
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering. - Paul Landes, Barbara Di Eugenio, Cornelia Caragea:
DeepZensols: Deep Natural Language Processing Framework. - Zhuoxiao Chen, Yiyun Zhang, Yadan Luo, Zijian Wang, Jinjiang Zhong, Anthony Southon:
RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management. - Bashir Sadeghi, Vishnu Boddeti:
On the Fundamental Trade-offs in Learning Invariant Representations. - Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang:
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. - Bing Wei, Yudi Zhao, Kuangrong Hao, Lei Gao:
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects. - Zherong Pan, Min Liu, Xifeng Gao, Dinesh Manocha:
Joint Search of Optimal Topology and Trajectory for Planar Linkages. - Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection: Analysis and Application. - Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu:
From Cloud to Edge: A First Look at Public Edge Platforms. - Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
Learning Zero-sum Stochastic Games with Posterior Sampling. - Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi, Isao Echizen:
Master Face Attacks on Face Recognition Systems. - Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang:
Mixup Decoding for Diverse Machine Translation. - Xiangyu Xu, Enrique Dunn:
GTT-Net: Learned Generalized Trajectory Triangulation. - Meng Chen, Ka Chun Cheung, Leevan Ling:
A kernel-based least-squares collocation method for surface diffusion. - Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang:
YouRefIt: Embodied Reference Understanding with Language and Gesture. - Jiaoda Li, Duygu Ataman, Rico Sennrich:
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models. - Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. - Nicholas Paskal, Maria Cameron:
An efficient jet marcher for computing the quasipotential for 2D SDEs. - Yifan Zhao, Jiawei Zhao, Jia Li, Xiaowu Chen:
RGB-D Salient Object Detection with Ubiquitous Target Awareness. - Xugong Qin, Yu Zhou, Youhui Guo, Dayan Wu, Zhihong Tian, Ning Jiang, Hongbin Wang, Weiping Wang:
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection. - Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations. - Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada:
Fixed Support Tree-Sliced Wasserstein Barycenter. - Xiaojian Zhang, Xilei Zhao:
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago. - Denis Zorin:
Convergence Analysis of the Algorithm in "Efficient and Robust Discrete Conformal Equivalence with Boundary". - Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa:
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections. - Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong:
Unfolding Taylor's Approximations for Image Restoration. - Bo Zhou, Kejiao Li, Hongsheng Zeng, Fan Wang, Hao Tian:
ADER: Adapting between Exploration and Robustness for Actor-Critic Methods. - Rahul Chakraborty, Aranya Chakrabortty, Evangelos Farantatos, Mahendra Patel, Hossein Hooshyar, Atena Darvishi:
Hierarchical Frequency and Voltage Control using Prioritized Utilization of Inverter Based Resources. - Youhui Guo, Yu Zhou, Xugong Qin, Weiping Wang:
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images. - Mathieu Prang, Philippe Esling:
Signal-domain representation of symbolic music for learning embedding spaces. - Khyodeno Mozhui, K. V. Krishna:
On the Representation Number of Bipartite Graphs. - Youngjune Lee, Kee-Eung Kim:
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. - Igor Cvisic, Ivan Markovic, Ivan Petrovic:
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy. - Jialiang Wang, Todd E. Zickler:
Level Set Binocular Stereo with Occlusions. - Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
A Survey of Sound Source Localization with Deep Learning Methods. - Hao Zeng, Yangdong Liu, Dandan Zhang, Kunpeng Han, Haoyuan Hu:
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment. - Florian Holzinger, Michael Kommenda:
Preprocessing and Modeling of Radial Fan Data for Health State Prediction. - Philipp Fleck, Manfred Kügel, Michael Kommenda:
Understanding and Preparing Data of Industrial Processes for Machine Learning Applications. - Tan Tang, Yanhong Wu, Lingyun Yu, Yuhong Li, Yingcai Wu:
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce. - Nicolas Posocco, Antoine Bonnefoy:
Estimating Expected Calibration Errors. - Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. - Zhongxing Ma, Yifan Zhao, Jia Li:
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification. - Alperen Kantarci, Hasan Dertli, Hazim Kemal Ekenel:
Shuffled Patch-Wise Supervision for Presentation Attack Detection. - Joseba Fernandez de Landa, Rodrigo Agerri:
Social Analysis of Young Basque Speaking Communities in Twitter. - Kai Sun, Zhimeng Yin, Weiwei Chen, Shuai Wang, Zeyu Zhang, Tian He:
Partial Symbol Recovery for Interference Resilience in Low-Power Wide Area Networks. - Pauline Welby, Elsa Spinelli, Audrey Bürki:
Spelling provides a precise (but sometimes misplaced) phonological target. Orthography and acoustic variability in second language word learning. - Tianren Wang, Can Peng, Teng Zhang, Brian C. Lovell:
FaceCook: Face Generation Based on Linear Scaling Factors. - Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng:
Temporal RoI Align for Video Object Recognition. - Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
How do I update my model? On the resilience of Predictive Process Monitoring models to change. - Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz:
R2-D2: A Modular Baseline for Open-Domain Question Answering. - Yongbiao Wan, Pidong Wang, Feng Huang, Jun Yuan, Dong Li, Kun Chen, Jianbin Kang, Qian Li, Taiping Zhang, Song Sun, Zhiguang Qiu, Yao Yao:
Bionic Optical Physical Unclonable Functions for Authentication and Encryption. - Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang:
Towards Natural Language Interfaces for Data Visualization: A Survey. - Mingyang Zhang, Xinyi Yu, Jingtao Rong, Linlin Ou, Feng Gao:
RepNAS: Searching for Efficient Re-parameterizing Blocks. - Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang:
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. - Trung Nguyen:
The convergence of the Regula Falsi method. - Andreas Frommer, Karsten Kahl, Manuel Tsolakis:
Matrix functions via linear systems built from continued fractions. - Yekun Chai, Shuo Jin, Junliang Xing:
RefineCap: Concept-Aware Refinement for Image Captioning. - Syed Md. Mukit Rashid, Mohammed Eunus Ali, Muhammad Aamir Cheema:
DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation. - David Cheng-Han Chiang, Hung-yi Lee:
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets. - Dougal Shakespeare, Camille Roth:
Tracing Affordance and Item Adoption on Music Streaming Platforms. - Canqi Yao, Shibo Chen, Zaiyue Yang:
Vehicle Routing Problem with Flexible Time Window: A Bi-level Approach. - Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Callum Rhodes, Cunjia Liu, Paul Westoby, Wen-Hua Chen:
Autonomous search of an airborne release in urban environments using informed tree planning. - Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski:
On the differences between quality increasing and other changes in open source Java projects. - Bartosz Walter, Branko Marovic, Ivan Garnizov, Marcin Wolski, Andrijana Todosijevic:
Monitoring the adoption of SPI-related best practices. An experience report. - Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen, Shu-Wei Tsai, Yu-Huai Peng, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion. - Saurabh Gaikwad, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan:
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi. - Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang:
Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization. - Weiqin Zou, Enming Li, Chunrong Fang:
BLESER: Bug Localization Based on Enhanced Semantic Retrieval. - Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. - Yasser Nabil, Hesham ElSawy, Suhail Al-Dharrab, Hassan Mostafa, Hussein Attia:
Data Aggregation in Synchronous Large-scale IoT Networks: Granularity, Reliability, and Delay Tradeoffs. - Yi Sun, Yu Zheng, Chao Hao, Hangping Qiu:
NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task-Next Sentence Prediction. - Li Zhang, Huan Zhao, Qinling Meng, Yanli Chen, Min Liu, Lei Xie:
Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021. - Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. - Casimiro Pio Carrino, Jordi Armengol-Estapé, Asier Gutiérrez-Fandiño, Joan Llop-Palao, Marc Pàmies, Aitor Gonzalez-Agirre, Marta Villegas:
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario. - Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan, Suzanne Little, Paul Buitelaar:
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes. - Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis, Gueltoum Bendiab, Stavros Shiaeles:
On the Security and Privacy of Hyperledger Fabric: Challenges and Open Issues. - Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi, Santanu Chaudhury:
Deriving Explanation of Deep Visual Saliency Models. - Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani:
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. - Yiyi Liu, Yequan Wang, Aixin Sun, Zheng Zhang, Jiafeng Guo, Xuying Meng:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. - Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter:
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. - Shaull Almagor, Orna Kupferman:
Good-Enough Synthesis. - Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze:
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth. - Luca Maiano, Irene Amerini, Lorenzo Ricciardi Celsi, Aris Anagnostopoulos:
Identification of Social-Media Platform of Videos through the Use of Shared Features. - Pengbo Yan, Toby Murray:
SecRSL: Security Separation Logic for C11 Release-Acquire Concurrency (Extended version with technical appendices). - Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin:
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. - Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi:
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base. - Anupam K. Gupta, Laurence Aitchison, Nathan F. Lepora:
Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear. - Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis, Stavros Shiaeles:
On the Security of Permissioned Blockchain Solutions for IoT Applications. - Nan Xue, Tianfu Wu, Zhen Zhang, Gui-Song Xia:
Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation. - Marta Lagomarsino, Marta Lorenzini, Elena De Momi, Arash Ajoudani:
An Online Framework for Cognitive Load Assessment in Assembly Tasks. - Mengjie Zhao, Hinrich Schütze:
Discrete and Soft Prompting for Multilingual Models. - Mohammad Ridwan Kabir, Mohaimin Ehsan, Hasan Mahmud, Md. Kamrul Hasan:
Renovo: A Sensor-Based Therapeutic System for Brachial Monoplegia. - Nicholas Kolokotronis, Sotirios Brotsis, Georgios Germanos, Costas Vassilakis, Stavros Shiaeles:
On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection. - Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang:
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling. - Tiago Colliri:
Evaluating Presidential Support in the Brazilian House of Representatives Through a Network-Based Approach. - Víctor M. Sánchez-Cartagena, Miquel Esplà-Gomis, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez:
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach. - Anne Lauscher, Tobias Lüken, Goran Glavas:
Sustainable Modular Debiasing of Language Models. - Nico Weber, Christoph Thiem, Ulrich Konigorski:
A Needle in a Haystack - How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas. - Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger:
On Event-Driven Knowledge Graph Completion in Digital Factories. - Didier Lime, Olivier H. Roux, Charlotte Seidner:
Cost Problems for Parametric Time Petri Nets. - Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, Ander Barrena, Eneko Agirre:
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction. - Özlem Tugfe Demir, Emil Björnson:
RIS-Assisted Massive MIMO with Multi-Specular Spatially Correlated Fading. - Stylianos Monogios, Konstantinos Limniotis, Nicholas Kolokotronis, Stavros Shiaeles:
A Case Study of Intra-library Privacy Issues on Android GPS Navigation Apps. - Moritz Platt, Johannes Sedlmeir, Daniel Platt, Paolo Tasca, Jiahua Xu, Nikhil Vadgama, Juan Ignacio Ibañez:
Energy Footprint of Blockchain Consensus Mechanisms Beyond Proof-of-Work. - Fahd Husain, Pascale Proulx, Meng-Wei Chang, Rosa Romero Gómez, Holland Vasquez:
A Mixed-Initiative Visual Analytics Approach for Qualitative Causal Modeling. - Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl:
YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization. - Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel:
On Recognizing Occluded Faces in the Wild. - Georgios Kermezis, Konstantinos Limniotis, Nicholas Kolokotronis:
User-generated pseudonyms through Merkle trees. - Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. - Jingge Wang, Yang Li, Liyan Xie, Yao Xie:
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. - Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough:
Open Aspect Target Sentiment Classification with Natural Language Prompts. - Martin Schmitt, Hinrich Schütze:
Continuous Entailment Patterns for Lexical Inference in Context. - Daniil O. Kuts:
Towards Symbolic Pointers Reasoning in Dynamic Symbolic Execution. - Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou:
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. - Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yida Xu:
Unsupervised clothing change adaptive person ReID. - Sarem Seitz:
Self-explaining variational posterior distributions for Gaussian Process models. - Bálint Máté, François Fleuret:
Priming PCA with EigenGame. - Christopher Braker, Stavros Shiaeles, Gueltoum Bendiab, Nick Savage, Konstantinos Limniotis:
BotSpot: Deep Learning Classification of Bot Accounts within Twitter. - Ekaterina Merkurjev, Duc Duy Nguyen, Guo-Wei Wei:
Multiscale Laplacian Learning. - Dohan Kim, Christopher Lynch:
Congruence Closure Modulo Permutation Equations. 86-98 - Moa Johansson, Nicholas Smallbone:
Conjectures, Tests and Proofs: An Overview of Theory Exploration. 1-16 - Erna Begovic:
Convergence of a Jacobi-type method for the approximate orthogonal tensor diagonalization. - Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Marzieh Saeidi, Majid Yazdani, Andreas Vlachos:
Cross-Policy Compliance Detection via Question Answering. - Pablo Antolin, Xiaodong Wei, Annalisa Buffa:
Robust Numerical Integration on Curved Polyhedra Based on Folded Decompositions. - Daniel J. Milroy, Claudia Misale, Stephen Herbein, Dong H. Ahn:
A Dynamic, Hierarchical Resource Model for Converged Computing. - Matthew Jenssen, Will Perkins, Aditya Potukuchi:
Approximately counting independent sets in bipartite graphs via graph containers. - Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. - Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera:
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training. - Markos Naftis, George Tsatiris, Kostas Karpouzis:
How Camera Placement Affects Gameplay in Video Games. - David Wilmot, Frank Keller:
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories. - Xuyang Shen, Jo Plested, Tom Gedeon:
Feature Selection on Thermal-stress Dataset. - Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. - Wei Huang, Michael D. Multerer:
Isogeometric analysis of diffusion problems on random surfaces. - Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. - Yiyang Li, Hai Zhao:
Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension. - Lan Zhang, Xiaoyong Yuan:
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. - Lukas Galke, Ansgar Scherp:
Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. - Donatella Occorsio, Giuliana Ramella, Woula Themistoclakis:
Lagrange-Chebyshev Interpolation for image resizing. - Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic:
Highly Scalable and Provably Accurate Classification in Poincare Balls. - Sangpil Kim, Jihyun Bae, Hyung-Gun Chi, Sunghee Hong, Byoung Soo Koh, Karthik Ramani:
Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type. - Shikun Zhang, Omid Jafari, Parth Nagarkar:
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data. - Omri Ben-Eliezer, Talya Eden, Krzysztof Onak:
Adversarially Robust Streaming via Dense-Sparse Trade-offs. - Yiming Zhao, Lin Bai, Xinming Huang:
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding. - Nicola De Cao, Wilker Aziz, Ivan Titov:
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. - Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig:
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. - Dan Su, Jiqiang Liu, Sencun Zhu, Xiaoyang Wang, Wei Wang, Xiangliang Zhang:
AppQ: Warm-starting App Recommendation Based on View Graphs. - Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada:
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. - Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. - Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. - Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti:
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. - Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Tong Lu, Ping Luo:
Panoptic SegFormer. - William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain:
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. - Zeyu Li, Yilong Qin, Zihan Liu, Wei Wang:
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer. - Anirudh Maiya, Inumella Sricharan, Anshuman Pandey, Srinivas K. S:
Tom: Leveraging trend of the observed gradients for faster convergence. - Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang:
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. - Ruilin Li, Hongyuan Zha, Molei Tao:
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. - Enrique Rosales, Jafet Rodriguez, Chrystiano Araújo, Nicholas Vining, Dongwook Yoon, Alla Sheffer:
StripBrush: A Constraint-Relaxed 3D Brush Reduces Physical Effort and Enhances the Quality of Spatial Drawing. - Tuomas Takko, Kunal Bhattacharya, Martti Lehto, Pertti Jalasvirta, Aapo Cederberg, Kimmo Kaski:
Knowledge mining of unstructured information: application to cyber-domain. - Shubham Paliwal, Monika Sharma, Lovekesh Vig:
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. - Tiago Pimentel, Ryan Cotterell:
A Bayesian Framework for Information-Theoretic Probing. - Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. - Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees Against Adversarial Examples. - Shahar Levy, Koren Lazar, Gabriel Stanovsky:
Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation. - Sina Gholamian:
Leveraging Code Clones and Natural Language Processing for Log Statement Prediction. - Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin:
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. - Di Zhang:
Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches? - Emanuele Sansone:
LSB: Local Self-Balancing MCMC in Discrete Spaces. - Vincenzo Botta, Laura Fusco, Attilio Mondelli, Ivan Visconti:
Secure Blockchain-Based Supply Chain Management with Verifiable Digital Twins. - Shengxi Gui, Rongjun Qin:
Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto. - Mert Pilanci:
Computational Polarization: An Information-theoretic Method for Resilient Computing. - Gibran Gómez, Platon Kotzias, Matteo Dell'Amico, Leyla Bilge, Juan Caballero:
Unsupervised Detection and Clustering of Malicious TLS Flows. - Brian Gaudet, Isaac Charcos, Roberto Furfaro:
Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning. - Potsawee Manakul, Mark J. F. Gales:
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems. - (Withdrawn) Model Explanations via the Axiomatic Causal Lens.
- Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox:
SORNet: Spatial Object-Centric Representations for Sequential Manipulation. - Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. - Rahul Peddi, Nicola Bezzo:
Interpretable Run-Time Prediction and Planning in Co-Robotic Environments. - Raphael Freymann, Junjie Shi, Jian-Jia Chen, Kuan-Hsun Chen:
Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach. - Han He, Liyan Xu, Jinho D. Choi:
ELIT: Emory Language and Information Toolkit. - Alireza Yazdani, Ronald D. Haynes, Steven J. Ruuth:
A Convergence Analysis of the Parallel Schwarz Solution of the Continuous Closest Point Method. - Sunyu Wang, Joao Ramos:
Dynamic Locomotion Teleoperation of a Wheeled Humanoid Robot Reduced Model with a Whole-Body Human-Machine Interface. - Louis L. Scharf, Dongliang Duan:
A Generalized Theory of Power. - Marcella Manivel, Milena Silva, Robert Thompson:
Iterative Respacing of Polygonal Curves. - Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei:
A Recipe For Arbitrary Text Style Transfer with Large Language Models. - Lothar Reichel, Ugochukwu O. Ugwu:
Weighted tensor Golub-Kahan-Tikhonov-type methods applied to image processing using a t-product. - Selma Steinhoff, Chrysoula Stathakopoulou, Matej Pavlovic, Marko Vukolic:
BMS: Secure Decentralized Reconfiguration for Blockchain and BFT Systems. - Shaika Chowdhury, Naouel Baili, Brian Vannah:
Ensemble Fine-tuned mBERT for Translation Quality Estimation. - Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth:
Follow the guides: disentangling human and algorithmic curation in online music consumption. - David M. Bossens, Danesh Tarapore:
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Age-Aware Stochastic Hybrid Systems: Stability, Solutions, and Applications. - Lisa Bylinina, Alexey Tikhonov:
Transformers in the loop: Polarity in neural models of language. - Kamilya Smagulova, Mohammed E. Fouda, Fadi J. Kurdahi, Khaled N. Salama, Ahmed M. Eltawil:
Resistive Neural Hardware Accelerators. - Siyao Li, Daniela Tuninetti, Natasha Devroye, Hulya Seferoglu:
Capacity and Stability Regions for Layered Packet Erasure Broadcast Channels with Feedback. - Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney:
What's Hidden in a One-layer Randomly Weighted Transformer? - Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li:
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. - Sina Ahmadi:
A Formal Description of Sorani Kurdish Morphology. - Georgios Michail Makrakis, Constantinos Kolias, Georgios Kambourakis, Craig Rieger, Jacob Benjamin:
Vulnerabilities and Attacks Against Industrial Control Systems and Critical Infrastructures. - Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar:
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices. - Ori Roth:
Study of the Subtyping Machine of Nominal Subtyping with Variance (full version). - Oscar Pastor-Serrano, Zoltán Perkó:
Learning the Physics of Particle Transport via Transformers. - Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Attributing Fair Decisions with Attention Interventions. - Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir, Reshma Narayanan Kutty:
NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers. - Satish Karra, Bulbul Ahmmed, Maruti Kumar Mudunuru:
AdjointNet: Constraining machine learning models with physics-based codes. - Duong Nguyen, Ronan Fablet:
TrAISformer-A generative transformer for AIS trajectory prediction. - Hanxiang Hao, Sriram Baireddy, Kevin J. LaTourette, Latisha Konz, Moses W. Chan, Mary L. Comer, Edward J. Delp:
Improving Building Segmentation for Off-Nadir Satellite Imagery. - Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger:
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. - Amel Nestor Docena, Thomas Wahl, Trevor Pearce, Yunsi Fei:
Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers. 35-48 - Krishna D. N:
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer. - Ting-Han Fan, Xian Yeow Lee, Yubo Wang:
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. - Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup:
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. - Chenxi Xiao, Shujia Xu, Wenzhuo Wu, Juan P. Wachs:
Active Multi-Object Exploration and Recognition via Tactile Whiskers. - Hossein Hojjat, Bishoksan Kafle:
Proceedings 8th Workshop on Horn Clauses for Verification and Synthesis, HCVS@ETAPS 2021, Virtual, 28th March 2021. EPTCS 344, 2021 [contents] - Arshiya Khan, Chase Cotton:
Detecting Attacks on IoT Devices using Featureless 1D-CNN. - Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam:
The challenge of reproducible ML: an empirical study on the impact of bugs. - Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang:
Stationary Density Estimation of Itô Diffusions Using Deep Learning. - Kashumi Madampe, Rashina Hoda, John Grundy:
The Emotional Roller Coaster of Responding to Requirements Changes in Software Engineering. - Lili Li, Mianfu She, Yuanling Niu:
Fractional Crank-Nicolson-Galerkin finite element methods for nonlinear time fractional parabolic problems with time delay. - Erik D. Demaine, Martin L. Demaine, Yevhenii Diomidov, Tonan Kamata, Ryuhei Uehara, Hanyu Alice Zhang:
Any Regular Polyhedron Can Transform to Another by O(1) Refoldings. - Nikhilesh Singh, Chester Rebeiro:
LEASH: Enhancing Micro-architectural Attack Detection with a Reactive Process Scheduler. - Zhifeng Jiang, Wei Wang:
System Optimization in Synchronous Federated Training: A Survey. - Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou:
Competence-based Curriculum Learning for Multilingual Machine Translation. - Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer:
Improving Deep Metric Learning by Divide and Conquer. - Yunyou Huang, Nana Wang, Suqin Tang, Li Ma, Tianshu Hao, Zihan Jiang, Fan Zhang, Guoxin Kang, Xiuxia Miao, Xianglong Guan, Ruchang Zhang, Zhifei Zhang, Jianfeng Zhan:
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings. - Bongseok Lee, Yong Suk Choi:
Graph Based Network with Contextualized Representations of Turns in Dialogue. - Yuwen Li, Ludmil T. Zikatanov:
New stabilized P1×P0 finite element methods for nearly inviscid and incompressible flows. - Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. - Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang:
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. - Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. - Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. - Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi:
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours. - Chang Nie, Huan Wang, Zhihui Lai:
Multi-Tensor Network Representation for High-Order Tensor Completion. - Ken Jen Lee, Edith Law:
Rethinking Immersive Virtual Reality and Empathy. - Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). - Huck Bennett, Chris Peikert, Yi Tang:
Improved Hardness of BDD and SVP Under Gap-(S)ETH. - Prithvi Akella, Ugo Rosolia, Aaron D. Ames:
Learning Performance Bounds for Safety-Critical Systems. - Zilin Si, Wenzhen Yuan:
Taxim: An Example-based Simulation Model for GelSight Tactile Sensors. - Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar:
Automated Security Assessment for the Internet of Things. - Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu:
Bag of Tricks for Optimizing Transformer Efficiency. - Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi:
Versions of Gradient Temporal Difference Learning. - Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor, Jesse Hoey:
Trust-ya: design of a multiplayer game for the study of small group processes. - Carl A. Wesolowski, Jane Alcorn, Geoffrey T. Tucker:
A series acceleration algorithm for the gamma-Pareto (type I) convolution and related functions of interest for pharmacokinetics. - Mona Gridseth, Timothy D. Barfoot:
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization. - Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon:
ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection. - Evgenii Sovetkin, Bart E. Pieters:
Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules. - Siqi Zheng, Shiliang Zhang, Weilong Huang, Qian Chen, Hongbin Suo, Ming Lei, Jinwei Feng, Zhijie Yan:
BeamTransformer: Microphone Array-based Overlapping Speech Detection. - Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen:
Table-based Fact Verification with Salience-aware Learning. - August See, Maximilian Gehring, Max Mühlhäuser, Mathias Fischer, Shankar Karuppayah:
Malware Sight-Seeing: Accelerating Reverse-Engineering via Point-of-Interest-Beacons. - Xinbei Ma, Zhuosheng Zhang, Hai Zhao:
Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension. - David Ojika, Jayson Strayer, Gaurav Kaul:
Towards Sustainable Energy-Efficient Data Centers in Africa. - Tianhao Li, Limin Wang, Gangshan Wu:
Self Supervision to Distillation for Long-Tailed Visual Recognition. - Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang:
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining. - Enkhtogtokh Togootogtokh, Christian Klasen:
DeepEMO: Deep Learning for Speech Emotion Recognition. - Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Risk-Averse Decision Making Under Uncertainty. - Charles Evans, Atoosa Kasirzadeh:
User Tampering in Reinforcement Learning Recommender Systems. - Yicheng Zou, Zhihua Liu, Xingwu Hu, Qi Zhang:
Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems. - Alireza Salahirad, Gregory Gay, Ehsan Mohammadi:
Mapping Research Topics in Software Testing: A Bibliometric Analysis. - Tianyi Zhang, Matthew Johnson-Roberson:
Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization. - Chenguang Xiao, Shuo Wang:
An Experimental Study of Class Imbalance in Federated Learning. - Michael Mendelson, Yonatan Belinkov:
Debiasing Methods in Natural Language Understanding Make Bias More Accessible. - Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang, Shujuan Yin:
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation. - Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei, Azadeh Shakery:
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization. - Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing. - Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He:
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. - David Krieg, Mathias Sonnleitner:
Function recovery on manifolds using scattered data. - Manqing Dong, Chunguang Pan, Zhipeng Luo:
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. - Luca Hormann, Artem Sokolov:
Fixing exposure bias with imitation learning needs powerful oracles. - Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng:
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data. - Benjamin Sliwa, Hendrik Schippers, Christian Wietfeld:
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications. - Pedro Machado, Andreas Oikonomou, João Filipe Ferreira, T. M. McGinnity:
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture. - Simon Hanisch, Patricia Arias Cabarcos, Javier Parra-Arnau, Thorsten Strufe:
Privacy-Protecting Techniques for Behavioral Data: A Survey. - Vladimir Dobrovolskii:
Word-Level Coreference Resolution. - Yoginder Kumar Negi, N. Balakrishnan, Sadasiva M. Rao:
Fast Power Series Solution of Large 3-D Electrodynamic Integral Equation for PEC Scatterers. - Lutz Kämmerer, Daniel Potts, Fabian Taubert:
The uniform sparse FFT with application to PDEs with random coefficients. - Luka Jelovcan, Simon Vrhovec, Anze Mihelic:
Survey about cyberattack protection motivation in higher education: Academics at Slovenian universities, 2017. - Alexander Sheshkus, Anastasiya N. Chirvonaya, Vladimir L. Arlazarov:
Tiny CNN for feature point description for document analysis: approach and dataset. - Tom Young, Frank Z. Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria:
Fusing task-oriented and open-domain dialogues in conversational agents. - Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset And Evaluation. - Daniel Burghardt, Pablo Lanillos:
Robot Localization and Navigation through Predictive Processing using LiDAR. - Yun Chang, Hsin-I Wu, Ren-Song Tsay:
An Effective Parallel Program Debugging Approach Based on Timing Annotation. - Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych:
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning. - Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang:
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition. - Li-Chun Chen, Hsin-I Wu, Ren-Song Tsay:
Automatic Timing-Coherent Transactor Generation for Mixed-level Simulations. - Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal:
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning. - Andrii Zadaianchuk, Georg Martius, Fanny Yang:
Self-supervised Reinforcement Learning with Independently Controllable Subgoals. - Alberto Barbado, María Dolores González, Débora Carrera:
Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach. - Qian He, Desen Zhou, Bo Wan, Xuming He:
Single Image 3D Object Estimation with Primitive Graph Networks. - Niels van Hoeffelen, Pablo Lanillos:
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem. - Jacob Whitehill, Zeqian Li:
Compositional Affinity Propagation: When Clusters Have Compositional Structure. - Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Modelling GDPR-Compliant Explanations for Trustworthy AI. - Qi Tao, Yong Liu, Yan Jiang, Jianfang Lu:
An oscillation free local discontinuous Galerkin method for nonlinear degenerate parabolic equations. - Francesco Sovrano, Fabio Vitali:
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation. - Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting:
Relating Graph Neural Networks to Structural Causal Models. - Sebastian vom Dorff, Maximilian Kneißl, Martin Fränzle:
Safe, Deterministic Trajectory Planning for Unstructured and Partially Occluded Environments. - Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang:
Towards Transferable Adversarial Attacks on Vision Transformers. - Markku Suomalainen, Katherine J. Mimnaugh, Israel Becerra, Eliezer Lozano, Rafael Murrieta-Cid, Steven M. LaValle:
Comfort and Sickness while Virtually Aboard an Autonomous Telepresence Robot. - Tomás Kroupa, Tomás Votroubek:
Multiple Oracle Algorithm For General-Sum Continuous Games. - Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. - Barak Shoshany:
OGRe: An Object-Oriented General Relativity Package for Mathematica. - Sidharth Pancholi, Amit Mahesh Joshi:
Novel Time Domain Based Upper-Limb Prosthesis Control using Incremental Learning Approach. - Mbarka Soualhia, Foutse Khomh, Sofiène Tahar:
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation. 114-128 - Anastasiia Usmanova, François Portet, Philippe Lalanda, Germán Vega:
A distillation-based approach integrating continual learning and federated learning for pervasive services. - Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. - Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti:
DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty:
QUINT: Node embedding using network hashing. - Timilehin Ogundare, Terence L. van Zyl:
Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. - Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza:
Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors. - Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. - Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
Multi-Constraint Shortest Path using Forest Hop Labeling. - An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. - Yinquan Lu, Haonan Lu, Guirong Fu, Qun Liu:
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs. - Jing Dong, Shuai Li, Baoxiang Wang:
Incentivizing an Unknown Crowd. - Corinna Hertweck, Christoph Heitz:
A Systematic Approach to Group Fairness in Automated Decision Making. - Panagiotis Kanellopoulos, Alexandros A. Voudouris, Rongsen Zhang:
On Discrete Truthful Heterogeneous Two-Facility Location. - Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin:
ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs. - Srinagesh Sharma, Guoqing Zheng, Ahmed Hassan Awadallah:
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces. - Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
IICNet: A Generic Framework for Reversible Image Conversion. - Taron Davtian, Flavio Bertini, Rajesh Sharma:
Understanding Cycling Mobility: Bologna Case Study. - Antoine Chevrot, Alexandre Vernotte, Bruno Legeard:
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation. - Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo:
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. - Asha Devi Singh, Anurag Singh:
Optimal Reservoir Operations using Long Short-Term Memory Network. - Rodrigo Laigner, Diogo S. Mendonça, Alessandro F. Garcia, Marcos Kalinowski:
Cataloging Dependency Injection Anti-patterns in Software Systems. - Emma Slade, Sonya Kiselgof, Lena Granovsky, Jeremy L. England:
GNisi: A graph network for reconstructing Ising models from multivariate binarized data. - Xiaodong Jia, Ashish Kumar, Gang Tan:
A Derivative-based Parser Generator for Visibly Pushdown Grammars. - Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu:
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data. - Keisuke Okumura, Xavier Défago:
Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution. - Daniel Bakkelund:
An objective function for order preserving hierarchical clustering. - Chenhao Xu, Youyang Qu, Yong Xiang, Longxiang Gao:
Asynchronous Federated Learning on Heterogeneous Devices: A Survey. - Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell:
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing. - Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang:
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks. - Mike Zhang, Barbara Plank:
Cartography Active Learning. - Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng:
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal. - Sherif Abdelmonem Sayed Mohamed, Mohammad Hashem Haghbayan, Antonio Miele, Onur Mutlu, Juha Plosila:
Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload. - Xiangyu Sun, Guiliang Liu, Pascal Poupart, Oliver Schulte:
NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge. - Xing Cheng, Hezheng Lin, Xiangyu Wu, Fan Yang, Dong Shen:
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss. - Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari:
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. - Ruoxi Shi, Borui Yang, Yangzhou Jiang, Chenglong Zhao, Bingbing Ni:
Energy Attack: On Transferring Adversarial Examples. - Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino:
On the use of Wasserstein metric in topological clustering of distributional data. - Christian Moya, Guang Lin:
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks. - Sofia Alevizopoulou, Paris Koloveas, Christos Tryfonopoulos, Paraskevi Raftopoulou:
Social Media Monitoring for IoT Cyber-Threats. - Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota:
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching. - Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park:
Deep Hough Voting for Robust Global Registration. - Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen:
MATE: Multi-view Attention for Table Transformer Efficiency. - Xin Peng, Wanting Xu, Jiaqi Yang, Laurent Kneip:
Continuous Event-Line Constraint for Closed-Form Velocity Initialization. - Hong Liu, Yucheng Cai, Zhenru Lin, Zhijian Ou, Yi Huang, Junlan Feng:
Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems. - Lance Ying, Amrit Romana, Emily Mower Provost:
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network. - You Han, Achintya Gopal, Liwen Ouyang, Aaron Key:
Estimation of Corporate Greenhouse Gas Emissions via Machine Learning. - Massimo Nicosia, Zhongdi Qu, Yasemin Altun:
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. - Ahmed Frikha, Denis Krompaß, Volker Tresp:
COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. - Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu:
Smoothed Contrastive Learning for Unsupervised Sentence Embedding. - Zhaocheng Liu, Fernando Acero, Zhibin Li:
Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains. - Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Learning Opinion Summarizers by Selecting Informative Reviews. - Steffen Börm:
On iterated interpolation. - Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. - Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane:
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer. - Luca Verderame, Antonio Ruggia, Alessio Merlo:
PATRIOT: Anti-Repackaging for IoT Firmware. - Antonios Antoniadis, Ruben Hoeksma, Sándor Kisfaludi-Bak, Kevin Schewior:
Online Search for a Hyperplane in High-Dimensional Euclidean Space. - Yutong Wu, Ali Khodabakhsh, Bo Li, Evdokia Nikolova, Emmanouil Pountourakis:
Eliciting Information with Partial Signals in Repeated Games. - Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin:
EvilModel 2.0: Hiding Malware Inside of Neural Network Models. - Kushal Babel, Philip Daian, Mahimna Kelkar, Ari Juels:
Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts. - Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. - Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic:
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. - Tobias Thummerer, Josef Kircher, Lars Mikelsons:
NeuralFMU: Towards Structural Integration of FMUs into Neural Networks. - Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. - Yangyi Chen, Jin Su, Wei Wei:
Multi-granularity Textual Adversarial Attack with Behavior Cloning. - Sujoy Bhore, Robert Ganian, Guangping Li, Martin Nöllenburg, Jules Wulms:
Worbel: Aggregating Point Labels into Word Clouds. - Philip Hossu, Natalie Parde:
Tracking Turbulence Through Financial News During COVID-19. - Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia:
IFBiD: Inference-Free Bias Detection. - Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. - Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. - Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu:
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding. - Shilin Lu, Xinghong Hu, Chengyou Wang, Lu Chen, Shulu Han, Yuejia Han:
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage. - Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
ErfAct and PSerf: Non-monotonic smooth trainable Activation Functions. - Angel Lozano:
1-Bit MIMO for Terahertz Channels. - Zixiong Wang, Pengfei Wang, Qiujie Dong, Junjie Gao, Shuang-Min Chen, Shiqing Xin, Changhe Tu:
Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point clouds. - Corinna Hertweck, Tim Räz:
Gradual (In)Compatibility of Fairness Criteria. - Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata:
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. - William Timkey, Marten van Schijndel:
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality. - Shujian Zhang, Chengyue Gong, Eunsol Choi:
Learning with Different Amounts of Annotation: From Zero to Many Labels. - Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys:
Reconstructing and grounding narrated instructional videos in 3D. - Vladimir V. V'yugin:
Degrees of randomized computability: decomposition into atoms. - Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio:
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. - Venkatesan Guruswami, Pravesh K. Kothari, Peter Manohar:
Algorithms and Certificates for Boolean CSP Refutation: "Smoothed is no harder than Random". - Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. - Vince Kurtz, He Li, Patrick M. Wensing, Hai Lin:
Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics. - Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, Ziwei Liu:
Talk-to-Edit: Fine-Grained Facial Editing via Dialog. - Jeff Giliberti, Andreas Karrenbauer:
Improved Online Algorithm for Fractional Knapsack in the Random Order Model. - Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. - Noel Alben, Ranjani H. G:
'1e0a': A Computational Approach to Rhythm Training. - Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
FGOT: Graph Distances based on Filters and Optimal Transport. - Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer:
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. - Stella Frank, Emanuele Bugliarello, Desmond Elliott:
Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers. - Anna Effenberger, Eva Yan, Rhia Singh, Alane Suhr, Yoav Artzi:
Analysis of Language Change in Collaborative Instruction Following. - Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan:
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. - Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi:
ConvMLP: Hierarchical Convolutional MLPs for Vision. - Kashyap Chitta, Aditya Prakash, Andreas Geiger:
NEAT: Neural Attention Fields for End-to-End Autonomous Driving. - Febin Sunny, Mahdi Nikdast, Sudeep Pasricha:
SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning. - Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. - Abhinav Ganesan, Anubhav Gupta, Jose Mathew:
Mining Points of Interest via Address Embeddings: An Unsupervised Approach. - Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette:
Leveraging Local Domains for Image-to-Image Translation. - Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li:
Truth Discovery in Sequence Labels from Crowds. - Elman Mansimov, Yi Zhang:
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder. - Hao Xu, Shaojie Shen:
BDPGO: Balanced Distributed Pose Graph Optimization Framework for Swarm Robotics. - Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh:
Bootstrapped Meta-Learning. - Amit Kumar Das, Bidyarthi Dutta:
Scrutinizing uncitedness of selective Indian physics and astronomy journals through the prism of some h-type indicators. - Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky:
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach. - Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Robust Impedance Control for Dexterous Interaction Using Fractal Impedance Controller with IK-Optimisation. - Mikhail Krechetov, Amir Mohammad Esmaieeli Sikaroudi, Alon Efrat, Valentin Polishchuk, Michael Chertkov:
Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming. - Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. - Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael N. Mistry:
Fine Manipulation and Dynamic Interaction in Haptic Teleoperation. - Victor Lecomte, Li-Yang Tan:
Sharper bounds on the Fourier concentration of DNFs. - Ara Jafarzadeh, Manuel Lopez-Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler:
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. - Ulrich Bauer, Abhishek Rathod:
Parameterized inapproximability of Morse matching. - Kenneth Bogert:
Notes on Generalizing the Maximum Entropy Principle to Uncertain Data. - Bill Bergeron, Matthew Hubbell, Dylan Sequeira, Winter Williams, William Arcand, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Michael Jones, Anna Klien, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
3D Real-Time Supercomputer Monitoring. - Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. - Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser:
Identifying Morality Frames in Political Tweets using Relational Learning. - Dewi Yokelson, Nikolay V. Tkachenko, Robert Robey, Ying Wai Li, Pavel A. Dub:
Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics. - Huiyuan Lai, Antonio Toral, Malvina Nissim:
Generic resources are what you need: Style transfer tasks without task-specific parallel training data. - Zichao Wang, Andrew S. Lan, Richard G. Baraniuk:
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints. - Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini:
All-Purpose Hashing. - Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. - Nuno Miguel Guerreiro, André F. T. Martins:
SPECTRA: Sparse Structured Text Rationalization. - Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin:
Is Attention Better Than Matrix Decomposition? - Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal:
Feature-based Individual Fairness in k-Clustering. - Giorgos Vernikos, Andrei Popescu-Belis:
Subword Mapping and Anchoring across Languages. - Linsheng Liu, Daniel S. Roche, Austin Theriault, Arkady Yerukhimovich:
Fighting Fake News in Encrypted Messaging with the Fuzzy Anonymous Complaint Tally System (FACTS). - Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. - Aljosa Vodopija, Tea Tusar, Bogdan Filipic:
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective. - Sooryaa Vignesh Thiruloga, Vipin Kumar Kukkala, Sudeep Pasricha:
TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems. - Kiran Karra, Chace Ashcraft:
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. - Abhishek Rathod:
Fast Algorithms for Minimum Cycle Basis and Minimum Homology Basis. - Mitsuki Yoshida, Ryogo Yamamoto, Kanji Tanaka:
S3G-ARM: Highly Compressive Visual Self-localization from Sequential Semantic Scene Graph Using Absolute and Relative Measurements. - Aamodh Suresh, Sonia Martínez:
Risk-perception-aware control design under dynamic spatial risks. - Mayukh Bhattacharyya, Sayan Nag, Udita Ghosh:
Deciphering Environmental Air Pollution with Large Scale City Data. - Wolfgang Bottcher, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Object recognition for robotics from tactile time series data utilising different neural network architectures. - Sara Papi, Marco Gaido, Matteo Negri, Marco Turchi:
Speechformer: Reducing Information Loss in Direct Speech Translation. - Ke Wang, Guiyang Xin, Songyan Xin, Michael N. Mistry, Sethu Vijayakumar, Petar Kormushev:
A Unified Model with Inertia Shaping for Highly Dynamic Jumps of Legged Robots. - Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis:
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems. - Jeremy R. Cole, Nanjiang Jiang, Panupong Pasupat, Luheng He, Peter Shaw:
Graph-Based Decoding for Task Oriented Semantic Parsing. - Haoran Xu, Benjamin Van Durme, Kenton W. Murray:
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. - Jamshidbek Mirzakhalov, Anoop Babu, Duygu Ataman, Sherzod Kariev, Francis M. Tyers, Otabek Abduraufov, Mammad Hajili, Sardana Ivanova, Abror Khaytbaev, Antonio Laverghetta Jr., Behzodbek Moydinboyev, Esra Onal, Shaxnoza Pulatova, Ahsan Wahab, Orhan Firat, Sriram Chellappan:
A Large-Scale Study of Machine Translation in the Turkic Languages. - Xiaoyun Li, Ping Li:
C-MinHash: Practically Reducing Two Permutations to Just One. - Qiqi Hou, Charlie Wang:
Automatic Portrait Video Matting via Context Motion Network. - Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang:
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation. - Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto:
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. - Hoang Van, Zheng Tang, Mihai Surdeanu:
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks. - Chien-Hao Chen, Ren-Song Tsay:
Analytical Process Scheduling Optimization for Heterogeneous Multi-core Systems. - Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen:
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization. - Fuqiang Liu, Luis Miranda-Moreno, Lijun Sun:
Spatially Focused Attack against Spatiotemporal Graph Neural Networks. - Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. - Youngwoo Kim, Razieh Rahimi, Hamed R. Bonab, James Allan:
Query-driven Segment Selection for Ranking Long Documents. - Cheng-Lin Tsai, Ren-Song Tsay:
A Fast-and-Effective Early-Stage Multi-level Cache Optimization Method Based on Reuse-Distance Analysis. - Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn:
Efficiently Identifying Task Groupings for Multi-Task Learning. - Weijia Xu, Marine Carpuat:
Rule-based Morphological Inflection Improves Neural Terminology Translation. - Hsin-Yu Ho, Ren-Song Tsay:
An Effective Early Multi-core System Shared Cache Design Method Based on Reuse-distance Analysis. - Ilias Diakonikolas, Jongho Park, Christos Tzamos:
ReLU Regression with Massart Noise. - Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick:
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. - Kai Zhang, Chao Tian, Kun Zhang, Todd Johnson, Xiaoqian Jiang:
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy. - Jinchao Zhu:
ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection. - Naoki Kobayashi:
An Overview of the HFL Model Checking Project. 1-12 - Jesús J. Doménech, Samir Genaim:
Termination Analysis of Programs with Multiphase Control-Flow. 13-21 - Bishoksan Kafle, John P. Gallagher, Manuel V. Hermenegildo, Maximiliano Klemen, Pedro López-García, José F. Morales:
Regular Path Clauses and Their Application in Solving Loops. 22-35 - Jerome Jochems:
Reducing Higher-order Recursion Scheme Equivalence to Coinductive Higher-order Constrained Horn Clauses. 36-64 - Stefan Hetzl, Johannes Kloibhofer:
A Fixed-point Theorem for Horn Formula Equations. 65-78 - Brendan Hall, Sarat Chandra Varanasi, Jan Fiedor, Joaquín Arias, Kinjal Basu, Fang Li, Devesh Bhatt, Kevin Driscoll, Elmer Salazar, Gopal Gupta:
Knowledge-Assisted Reasoning of Model-Augmented System Requirements with Event Calculus and Goal-Directed Answer Set Programming. 79-90 - Grigory Fedyukovich, Philipp Rümmer:
Competition Report: CHC-COMP-21. 91-108 - Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai:
STL2vec: Signal Temporal Logic Embeddings for Control Synthesis With Recurrent Neural Networks. - Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology. - Jiayi Wang, Zhengling Qi, Raymond K. W. Wong:
Projected State-action Balancing Weights for Offline Reinforcement Learning. - Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang:
Learning to Teach with Student Feedback. - Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu:
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems. - Aryan Naim, Ryan Alimo, Jay Braun:
AI Agents in Emergency Response Applications. - Abhinav Palia, Rajat Tandon, Carl Mathis:
Utilizing Shannon's Entropy to Create Privacy Aware Architectures. - Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung:
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. - Lei Yu, Yang Xu:
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining. - Humair Raj Khan, Deepak Gupta, Asif Ekbal:
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation. - Toby Long Hin Chong, I-Chao Shen, Nobuyuki Umetani, Takeo Igarashi:
Per Garment Capture and Synthesis for Real-time Virtual Try-on. - Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, Pascale Fung:
Zero-Shot Dialogue State Tracking via Cross-Task Transfer. - Junya Shijubo, Masaki Waga, Kohei Suenaga:
Efficient Black-Box Checking via Model Checking with Strengthened Specifications. - Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino:
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. - Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak:
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights. - Shahryar Baki, Rakesh M. Verma:
Sixteen Years of Phishing User Studies: What Have We Learned? - Wanzheng Zhu, Suma Bhat:
Euphemistic Phrase Detection by Masked Language Model. - Qing He, Jingwei Hu, Zhennan Zhou:
A structure preserving numerical scheme for Fokker-Planck equations of structured neural networks with learning rules. - Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. - Zeqiu Wu, Bo-Ru Lu, Hannaneh Hajishirzi, Mari Ostendorf:
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. - Jack Collins, Ross Brown, Jürgen Leitner, David Howard:
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad). - Davood Damircheli, Seyed-Mohammad-Mahdi Kazemi, Ali Foroush Bastani:
On Numerical Solution of Structural model for the Probability of Default under a Regime-Switching Synchronous-Jump Tempered Stable Lévy Model with Desingularized Meshfree Collocation method. - Shuai D. Han, Jingjin Yu:
Optimizing Space Utilization for More Effective Multi-Robot Path Planning. - James Brett, Katrina Lo Surdo, Lauren Hanson, Joshua Pinskier, David Howard:
Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle. - Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. - Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin:
Enhancing Unsupervised Anomaly Detection with Score-Guided Network. - Guangming Wang, Yunzhe Hu, Xinrui Wu, Hesheng Wang:
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction. - Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo:
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System. - Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri:
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. - Ming Li, Jingqiao Hu:
Analysis of Heterogeneous Structures of Non-separated Scales on Curved Bridge Nodes. - Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai:
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization. - Yunze Chen, Junjie Huang, Jiagang Zhu, Zheng Zhu, Tian Yang, Guan Huang, Dalong Du:
Face-NMS: A Core-set Selection Approach for Efficient Face Recognition. - Jue Wang, Haofan Wang, Jincan Deng, Weijia Wu, Debing Zhang:
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. - Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang:
Heterogeneous Graph Neural Networks for Keyphrase Generation. - Weizhi Wang, Zhirui Zhang, Yichao Du, Boxing Chen, Jun Xie, Weihua Luo:
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables. - Ruibin Zhang, Yuze Wu, Lixian Zhang, Chao Xu, Fei Gao:
TIE: An Autonomous and Adaptive Terrestrial-Aerial Quadrotor. - Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing:
Knowledge-Aware Meta-learning for Low-Resource Text Classification. - Toms Bergmanis, Marcis Pinnis:
Dynamic Terminology Integration for COVID-19 and other Emerging Domains. - Fan Bai, Alan Ritter, Wei Xu:
Pre-train or Annotate? Domain Adaptation with a Constrained Budget. - Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli:
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution. - Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum:
Personalized Entity Search by Sparse and Scrutable User Profiles. - Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. - Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum:
You Get What You Chat: Using Conversations to Personalize Search-based Recommendations. - Haoran Xie, Takuma Torii, Aoshi Chiba, Qiukai Qi:
xBalloon: Animated Objects with Balloon Plastic Actuator. - Shogo Yoshida, Haoran Xie, Kazunori Miyata:
NaviChoker: Augmenting Pressure Sensation via Pneumatic Actuator. - Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko:
6MapNet: Representing soccer players from tracking data by a triplet network. - Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis:
Where Should I Look? Optimised Gaze Control for Whole-Body Collision Avoidance in Dynamic Environments. - Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren:
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. - Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve:
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. - Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang:
Boosting Graph Search with Attention Network for Solving the General Orienteering Problem. - Yupei Du, Qixiang Fang, Dong Nguyen:
Assessing the Reliability of Word Embedding Gender Bias Measures. - Max Müller-Eberstein, Rob van der Goot, Barbara Plank:
Genre as Weak Supervision for Cross-lingual Dependency Parsing. - Min Peng, Chongyang Wang, Yuan Gao, Yu Shi, Xiang-Dong Zhou:
Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering. - Julian von der Mosel, Alexander Trautsch, Steffen Herbold:
On the validity of pre-trained transformers for natural language processing in the software engineering domain. - Sara Rajaee, Mohammad Taher Pilehvar:
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy. - Leonard Bauersfeld, Davide Scaramuzza:
Range, Endurance, and Optimal Speed Estimates for Multicopters. - Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Design of input for data-driven simulation with Hankel and Page matrices. - Juan David Muñoz Osorio, Felix Allmendinger:
A Suitable Hierarchical Framework with Arbitrary Task Dimensions under Unilateral Constraints for physical Human Robot Interaction. - Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever:
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. - Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu, Xiangyu Liu, Rong Zhang:
Counterfactual Adversarial Learning with Representation Interpolation. - Jesse Haviland, Niko Sünderhauf, Peter Corke:
A Holistic Approach to Reactive Mobile Manipulation. - Sungho Yoon, Ayoung Kim:
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization. - Yuquan Wang, Niels Dehio, Abderrahmane Kheddar:
On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts. - Piyumal Demotte, Surangika Ranathunga:
Dual-State Capsule Networks for Text Classification. - Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan, Florina M. Ciorba:
An Execution Fingerprint Dictionary for HPC Application Recognition. - (Withdrawn) Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts.
- Julius Hietala, David Blanco Mulero, Gokhan Alcan, Ville Kyrki:
Closing the Sim2Real Gap in Dynamic Cloth Manipulation. - Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Strong Baseline for Query Efficient Attacks in a Black Box Setting. - Yilin Yang, Akiko Eriguchi, Alexandre Muzio, Prasad Tadepalli, Stefan Lee, Hany Hassan:
Improving Multilingual Translation by Representation and Gradient Regularization. - Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou:
RoR: Read-over-Read for Long Document Machine Reading Comprehension. - Rong Gong, Carl Quillen, Dushyant Sharma, Andrew Goderre, José Laínez, Ljubomir Milanovic:
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition. - Emmanouil Fountoulakis, Themistoklis Charalambous, Anthony Ephremides, Nikolaos Pappas:
A Dynamic Scheduling Policy for a Network with Heterogeneous Time-Sensitive Traffic. - Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawlowicz, Jorge Torres Gómez, Boris Bellalta, Anatolij Zubow, Falko Dressler:
WiFi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning. - Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu:
Exophoric Pronoun Resolution in Dialogues with Topic Regularization. - Mohammad Ridwan Kabir, Mohammad Ishrak Abedin, Rizvi Ahmed, Hasan Mahmud, Md. Kamrul Hasan:
ANTASID: A Novel Temporal Adjustment to Shannon's Index of Difficulty. - Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. - Vinayak Pachkawade:
Quantifying Effective Noise Sources in Coupled Resonating MEMS sensors. - Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Secondary control activation analysed and predicted with explainable AI. - Peter Baumgartner:
Combining Event Calculus and Description Logic Reasoning via Logic Programming. - Jonas Zeifang, Jochen Schütz:
Two-derivative deferred correction time discretization for the discontinuous Galerkin method. - Federico Brunero, Petros Elia:
Unselfish Coded Caching can Yield Unbounded Gains over Symmetrically Selfish Caching. - Kaan Gökcesu, Hakan Gökcesu:
Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection. - Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier:
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. - Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. - Anna Wegmann, Dong Nguyen:
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework. - Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh:
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots. - Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous:
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. - Niklas W. A. Gebauer, Michael Gastegger, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Kristof T. Schütt:
Inverse design of 3d molecular structures with conditional generative neural networks. - Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev:
Artificial Text Detection via Examining the Topology of Attention Maps. - Marc Geitz, Cristian Grozea, Wolfgang Steigerwald, Robin Stöhr, Armin Wolf:
Solving the Extended Job Shop Scheduling Problem with AGVs - Classical and Quantum Approaches. - Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana:
Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction. - Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. - Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
Multimodal Federated Learning. - Kijong Han, Seojin Lee, Wooin Lee, Joosung Lee, Dong-hun Lee:
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model. - Ali Jarrahi, Leila Safari:
FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features. - Abbas Sidaoui, Naseem A. Daher, Daniel C. Asmar:
Human-Robot Interaction via a Joint-Initiative Supervised Autonomy (JISA) Framework. - François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush:
Block Pruning For Faster Transformers. - Ivan Molodetskikh, Mikhail Erofeev, Andrey Moskalenko, Dmitry S. Vatolin:
Temporally Coherent Person Matting Trained on Fake-Motion Dataset. - Ivo Batkovic, Mohammad Ali, Paolo Falcone, Mario Zanon:
Model Predictive Control with Infeasible Reference Trajectories. - Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker:
Active learning for reducing labeling effort in text classification tasks. - Andrew Lewis-Pye, Tim Roughgarden:
How Does Blockchain Security Dictate Blockchain Implementation? - Matús Falis, Hang Dong, Alexandra Birch, Beatrice Alex:
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. - Georgios Bakirtzis:
Compositional Cyber-Physical Systems Theory. - Olaf Beyersdorff, Benjamin Böhm:
Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution. - Helen C. Purchase, Ignaz Rutter:
Proceedings of the 29th International Symposium on Graph Drawing and Network Visualization (GD 2021). - Shanthi Lekkala, Tanya Motwani, Manojkumar Parmar, Amit Phadke:
Emerging AI Security Threats for Autonomous Cars - Case Studies. - Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. - Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes:
Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes. - Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg:
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks. - Kepa Bengoetxea, Itziar Gonzalez-Dios:
MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment. - Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. - Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu:
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. - Kaylene C. Stocking, David Livingston McPherson, Robert P. Matthew, Claire J. Tomlin:
Discretizing Dynamics for Maximum Likelihood Constraint Inference. - Yuval Pinter:
Integrating Approaches to Word Representation. - Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. - Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons:
Hybrid modeling of the human cardiovascular system using NeuralFMUs. - Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler:
ProcK: Machine Learning for Knowledge-Intensive Processes. - Ziwei Liao, Yutong Hu, Jiadong Zhang, Xianyu Qi, Xiaoyu Zhang, Wei Wang:
SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints. - Jibang Wu, Ashwinkumar Badanidiyuru, Haifeng Xu:
Auctioning with Strategically Reticent Bidders. - Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu:
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. - Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. - Kung-Hsiang Huang, Sam Tang, Nanyun Peng:
Document-level Entity-based Extraction as Template Generation. - Qianhao Wang, Botao He, Zhiren Xun, Chao Xu, Fei Gao:
GPA-Teleoperation: Gaze Enhanced Perception-aware Safe Assistive Aerial Teleoperation. - Lovro Markovic, Marin Kovac, Robert Milijas, Marko Car, Stjepan Bogdan:
Error State Extended Kalman Filter Multi-Sensor Fusion for Unmanned Aerial Vehicle Localization in GPS and Magnetometer Denied Indoor Environments. - Youcef Remil:
How Can Subgroup Discovery Help AIOps? - Luciano Freitas de Souza, Sara Tucci Piergiovanni, Renaud Sirdey, Oana Stan, Nicolas Quero, Petr Kuznetsov:
RandSolomon: optimally resilient multi-party random number generation protocol. - Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu, Huan Sun:
ReasonBERT: Pre-trained to Reason with Distant Supervision. - Luqi Wang, Boyu Zhou, Chuhao Liu, Shaojie Shen:
Estimation and Adaption of Indoor Ego Airflow Disturbance with Application to Quadrotor Trajectory Planning. - Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic:
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems. - Tomasz Limisiewicz, David Marecek:
Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes. - Shane Storks, Joyce Chai:
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers. - Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. - Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh:
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. - Taylor A. Howell, Simon Le Cleac'h, Sumeet Singh, Pete Florence, Zachary Manchester, Vikas Sindhwani:
Trajectory Optimization with Optimization-Based Dynamics. - Kavya Puthuveetil, Charles C. Kemp, Zackory Erickson:
Bodies Uncovered: Learning to Manipulate Real Blankets Around People via Physics Simulations. - Hui Zhang, Cuiling Fan, Sihem Mesnager:
Constructions of Binary Cross Z-Complementary Pairs With Large CZC Ratio. - Ryo Yoshida, Hiroshi Noji, Yohei Oseki:
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars. - Kanyao Han, Pingjing Yang, Shubhanshu Mishra, Jana Diesner:
WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia. - Shane Storks, Qiaozi Gao, Yichi Zhang, Joyce Chai:
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding. - Simon Dobnik, Robin Cooper, Adam Ek, Bill Noble, Staffan Larsson, Nikolai Ilinykh, Vladislav Maraev, Vidya Somashekarappa:
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics. - Andrea Petriccioli, Samuele Grillo, David Comunello, Andrea Cacace:
Development and Validation of a Scalable Fast Load Shedding Technique for Industrial Power Systems. - Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton:
Does Pretraining for Summarization Require Knowledge Transfer? - Gobinda Saha, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. - Wei-Fan Chen, Khalid Al Khatib, Benno Stein, Henning Wachsmuth:
Controlled Neural Sentence-Level Reframing of News Articles. - Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara:
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. - Richard Weinhold, Robert Mieth:
Uncertainty-Aware Capacity Allocation in Flow-Based Market Coupling. - Christian Cintrano, Jamal Toutouh, Enrique Alba:
Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga. - Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus:
A Study of Joint Graph Inference and Forecasting. - Ryuichi Kanoh, Mahito Sugiyama:
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles. - Heunchul Lee, Jaeseong Jeong:
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems. - Cristina González, Nicolás Ayobi, Isabela Hernández, José Hernández, Jordi Pont-Tuset, Pablo Arbeláez:
Panoptic Narrative Grounding. - Debasrita Chakraborty, Ashish Ghosh:
Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders. - Omran Alamayreh, Mauro Barni:
Detection of GAN-synthesized street videos. - Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao:
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. - Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang:
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization. - Justin Kasowski, Byron A. Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler:
Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review. - Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov:
Efficient Exascale Discretizations: High-Order Finite Element Methods. - Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum:
Box Embeddings: An open-source library for representation learning using geometric structures. - Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the sensitive attribute via Causal Variational Autoencoder. - Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty:
Assessing the Quality of the Datasets by Identifying Mislabeled Samples. - Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. - Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch:
BiSECT: Learning to Split and Rephrase Sentences with Bitexts. - Li Yang, Dimitrios Michael Manias, Abdallah Shami:
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams. - Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang:
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. - Vilém Zouhar, Ales Tamchyna, Martin Popel, Ondrej Bojar:
Neural Machine Translation Quality and Post-Editing Performance. - Zhao Yang, Mike Preuss, Aske Plaat:
Potential-based Reward Shaping in Sokoban. - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. - Daniel Fried, Justin T. Chiu, Dan Klein:
Reference-Centric Models for Grounded Collaborative Dialogue. - Zongyuan Shen, James Wilson, Ryan Harvey, Shalabh Gupta:
SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments. - Luna Phipps-Costin, Carolyn Jane Anderson, Michael Greenberg, Arjun Guha:
Solver-based Gradual Type Migration. - Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. - Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. - Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. - Ben Green:
The Flaws of Policies Requiring Human Oversight of Government Algorithms. - Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano:
Instance-Conditioned GAN. - Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss:
GPU Algorithms for Efficient Exascale Discretizations. - Michael Hibbard, Takashi Tanaka, Ufuk Topcu:
Simultaneous Perception-Action Design via Invariant Finite Belief Sets. - Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander G. Ororbia II:
FBERT: A Neural Transformer for Identifying Offensive Content. - Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara:
On the Compression of Neural Networks Using 𝓁0-Norm Regularization and Weight Pruning. - Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss:
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. - Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin, Genda Chen:
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos. - Samarth Shah:
Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks. - Christoforos I. Mavrogiannis, Krishna Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha S. Srinivasa:
Topology-Informed Model Predictive Control for Anticipatory Collision Avoidance on a Ballbot. - David L. Green, Xiaozhe Hu, Jeremy Lore, Lin Mu, Mark L. Stowell:
An Efficient High-order Numerical Solver for Diffusion Equations with Strong Anisotropy. - Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data. - Mayank Soni, Benjamin R. Cowan, Vincent Wade:
Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking. - Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau:
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. - Kaushik Balakrishnan, Devesh Upadhyay:
Stochastic Adversarial Koopman Model for Dynamical Systems. - Yufei Tian, Arvind Krishna Sridhar, Nanyun Peng:
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge. - Zerina Kapetanovic, Deepak Vasisht, Tusher Chakraborty, Joshua R. Smith, Ranveer Chandra:
No Size Fits All: Automated Radio Configuration for LPWANs. - Totte Harinen, Alexandre L. S. Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner:
Machine learning reveals how personalized climate communication can both succeed and backfire. - Tassilo Klein, Moin Nabi:
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. - Tassilo Klein, Moin Nabi:
Attention-based Contrastive Learning for Winograd Schemas. - Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. - Sina Ghiassian, Richard S. Sutton:
An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment. - Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum:
Improved Latent Tree Induction with Distant Supervision via Span Constraints. - Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. - Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
Partially-supervised novel object captioning leveraging context from paired data. - Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Utsav Patel, Dinesh Manocha:
TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning. - Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge:
MURAL: Multimodal, Multitask Retrieval Across Languages. - Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang:
D-REX: Dialogue Relation Extraction with Explanations. - Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames:
Interactive multi-modal motion planning with Branch Model Predictive Control. - Alan Papalia, Nicole Thumma, John J. Leonard:
Prioritized Planning for Cooperative Range-Only Localization in Multi-Robot Networks. - Amir Iqbal, Yan Gu:
Extended Capture Point and Optimization-based Control for Quadrupedal Robot Walking on Dynamic Rigid Surfaces. - Kaushal Kafle, Kirti Jagtap, Mansoor Ahmed-Rengers, Trent Jaeger, Adwait Nadkarni:
Towards Practical Integrity in the Smart Home with HomeEndorser. - Shiran Dudy, Steven Bedrick, Bonnie Webber:
Refocusing on Relevance: Personalization in NLG. - Aurpon Gupta, Subhasis Dasgupta, Snehasis Sinha, Amarnath Gupta:
Discovering Technology Gaps using the IntSight Knowledge Navigator. - H. J. Terry Suh, Tao Pang, Russ Tedrake:
Bundled Gradients through Contact via Randomized Smoothing. - Burkhard C. Schipper:
Discovery and Equilibrium in Games with Unawareness. - Chen Zhang, Yuxuan Lai, Yansong Feng, Dongyan Zhao:
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension. - Ioannis Anagnostides, Themis Gouleakis, Christoph Lenzen:
Accelerated Distributed Laplacian Solvers via Shortcuts. - Galen Weld, Amy X. Zhang, Tim Althoff:
Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. - Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang:
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. - Yujian Gan, Xinyun Chen, Matthew Purver:
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization. - Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu:
StreamHover: Livestream Transcript Summarization and Annotation. - Peng Wang, Ziyin Chen, Xiaobing Zhang:
Space-and-time-synchronized simultaneous vehicle tracking/formation using cascaded prescribed-time control. - Sam Cole:
A Note on Projection-Based Recovery of Clusters in Markov Chains. - Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang:
Semantic Categorization of Social Knowledge for Commonsense Question Answering. - Yiwen Lu, Bo Yang, Yilin Mo:
Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars. - Noor Ahmad Sarker, A. S. M. Badrudduza, S. M. Riazul Islam, Sheikh Habibul Islam, Milton Kumar Kundu, Imran Shafique Ansari, Kyung Sup Kwak:
On the Intercept Probability and Secure Outage Analysis of Mixed (α-κ-μ)-shadowed and Málaga Turbulent Model. - Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. - Esam Nsour, Mohammad Fasha:
Implementing Parallel Quick Sort Algorithm on OTIS Hyper Hexa-Cell (OHHC) Interconnection Network. - Mohammad Arif Ul Alam:
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion. - Fanyi Qu, Xin Jia, Yunfang Wu:
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data. - Shuyue Guan, Murray H. Loew:
A Novel Intrinsic Measure of Data Separability. - (Withdrawn) Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction.
- Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. - Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers. - Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. - Jiaju Lin, Jin Jian, Qin Chen:
Eliciting Knowledge from Language Models for Event Extraction. - Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning. - Luoyu Mei, Zhimeng Yin, Xiaolei Zhou, Shuai Wang, Kai Sun:
ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks interference mitigation. - Myungjae Shin, Joongheon Kim:
Adversarial Imitation Learning via Random Search in Lane Change Decision-Making. - Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takác:
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. - Anubhav Jangra, Adam Jatowt, Sriparna Saha, Mohammad Hasanuzzaman:
A Survey on Multi-modal Summarization. - Ick-Hoon Jin, Jina Park, Minjeong Jeon:
How social network influences human behavior: An integrated latent space approach. - Xuerong Xiao, Swetava Ganguli, Vipul Pandey:
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs. - Jiang Yang, Zhaoming Yuan, Zhi Zhou:
Robust Convergence of Parareal Algorithms with Arbitrarily High-order Fine Propagators. - Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. - Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. - Xiaoxu Cao, Linyi Gu, JunChen Mu, Qian Zhang, Qi Song, Chunxiao Liu, Cong Qiu:
Autonomous Underwater Vehicle-Manipulator Systems Path Planning with RRTAUVMS Algorithm. - Stefan Klikovits, Paolo Arcaini:
On the Need for Multi-Level ADS Scenarios. - Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. - Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. - Quanru Chen, Jinguang Han, Jiguo Li, Liquan Chen, Song Li:
A Privacy-Preserving Logistics Information System with Traceability. - Hiroaki Sugiyama, Masahiro Mizukami, Tsunehiro Arimoto, Hiromi Narimatsu, Yuya Chiba, Hideharu Nakajima, Toyomi Meguro:
Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems. - Faisal Muhammad Shah, Mayeesha Humaira, Md Abidur Rahman Khan Jim, Amit Saha Ami, Shimul Paul:
Bornon: Bengali Image Captioning with Transformer-based Deep learning approach. - Juhong Min, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. - Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi:
Fundamental limits of over-the-air optimization: Are analog schemes optimal? - Yonggan Fu, Yang Zhao, Qixuan Yu, Chaojian Li, Yingyan Lin:
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. - Song Yang, Jiamou Liu, Kaiqi Zhao:
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. - Harish Rithish, Raghava Modhugu, Ranjith Reddy, Rohit Saluja, C. V. Jawahar:
Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads. - Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl:
Learning Statistical Representation with Joint Deep Embedded Clustering. - Hongtao Ruan, Liying Zheng, Peixian Hu, Liang Xu, Jing Xiao:
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations. - Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. - Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um:
Physics-based Deep Learning. - Shaolei Zhang, Yang Feng:
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy. - Shaolei Zhang, Yang Feng:
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model. - Christelle Dleuna Nyoumbi, Antoine Tambue:
A novel high dimensional fitted scheme for stochastic optimal control problems. - Anastasia Zhukova, Felix Hamborg, Bela Gipp:
Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets. - Anastasia Zhukova, Felix Hamborg, Karsten Donnay, Bela Gipp:
XCoref: Cross-document Coreference Resolution in the Wild. - James Cumberbatch, Juho Lauri, Christodoulos Mitillos:
Exact defective colorings of graphs. - Zewei Sun, Mingxuan Wang, Lei Li:
Multilingual Translation via Grafting Pre-trained Language Models. - Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-series Anomaly Detection. - Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman:
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. - Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. - Mobarakol Islam, Seenivasan Lalithkumar, Hongliang Ren, Ben Glocker:
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition. - Wesley Fussner, Boris Shminke:
Mining counterexamples for wide-signature algebras with an Isabelle server. - Muhammad Ishfaq Hussain, Muhammad Aasim Rafique, Moongu Jeon:
RVMDE: Radar Validated Monocular Depth Estimation for Robotics. - Sheeraz A. Alvi, Yi Hong, Salman Durrani:
Utility Fairness for the Differentially Private Federated Learning. - Muhammad Fahad Saleem:
Benchmarking Processor Performance by Multi-Threaded Machine Learning Algorithms. - Anton S. Khritankov, Anton A. Pilkevich:
Existence conditions for hidden feedback loops in online recommender systems. - Chao Yu, Xiaoqun Wang:
Quasi-Monte Carlo-Based Conditional Malliavin Method for Continuous-Time Asian Option Greeks. - Connor T. Heaton, Prasenjit Mitra:
Learning To Describe Player Form in The MLB. - Mert Inan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani:
COSMic: A Coherence-Aware Generation Metric for Image Descriptions. - Brian Hu Zhang, Tuomas Sandholm:
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. - Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber:
What's in a Name? Answer Equivalence For Open-Domain Question Answering. - Nicola Rizzo, Alexandru I. Tomescu, Alberto Policriti:
The Labeled Direct Product Optimally Solves String Problems on Graphs. - Xiang Li, Xiaohang Tang, Xin Tong, Rakesh Patibanda, Florian 'Floyd' Mueller, Hai-Ning Liang:
Myopic Bike and Say Hi: Games for Empathizing with The Myopic. - Jeremias Arf, Bernd Simeon:
Structure-preserving Discretization of the Hessian Complex based on Spline Spaces. - Yang Song, Zhuqing Zhang, Jun Wu, Yue Wang, Liang Zhao, Shoudong Huang:
A Right Invariant Extended Kalman Filter for Object based SLAM. - Christian Antic:
On syntactically similar logic programs and sequential decompositions. - Alberto Testoni, Raffaella Bernardi:
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy. - Zaid Abdullah, Steven Kisseleff, Konstantinos Ntontin, Wallace Alves Martins, Symeon Chatzinotas, Björn E. Ottersten:
Successive Decode-and-Forward Relaying with Reconfigurable Intelligent Surfaces. - Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini:
HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization. - Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, Ville Kyrki:
Deformation-Aware Data-Driven Grasp Synthesis. - Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang:
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech. - Caleb Ziems, Diyi Yang:
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence. - Francesco Sovrano, Fabio Vitali:
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability. - Kimberly Keeton, Sharad Singhal, Haris Volos, Yupu Zhang, Ramesh Chandra Chaurasiya, Clarete Riana Crasta, Sherin T. George, Nagaraju K. N, Mashood Abdulla K, Kavitha Natarajan, Porno Shome, Sanish Suresh:
MODC: Resilience for disaggregated memory architectures using task-based programming. - Lifu Liu, Yi Ma, Na Yi:
Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection. - Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski:
Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference. - Yige Hong, Weina Wang:
Sharp Waiting-Time Bounds for Multiserver Jobs. - Gopinath Das, Bidyarthi Dutta, Anup Kumar Das:
Viewing citation trend of Indian physics and astronomy research papers since 2005 through the lens of some new indicators. - Joshua Lee Padgett, Eduardo Servin:
A positivity- and monotonicity-preserving nonlinear operator splitting approach for approximating solutions to quenching-combustion semilinear partial differential equations. - Naina Dhingra, Florian Ritter, Andreas M. Kunz:
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation. - Ge Wang, Jun Zhao, Max Van Kleek, Nigel Shadbolt:
Protection or punishment? relating the design space of parental control apps and perceptions about them to support parenting for online safety. - Ha-Thanh Nguyen, Vu Tran, Tran Binh Dang, Minh-Quan Bui, Minh Phuong Nguyen, Le-Minh Nguyen:
HYDRA - Hyper Dependency Representation Attentions. - Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. - Negin Ghamsarian, Mario Taschwer, Klaus Schoeffmann:
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Naina Dhingra, George Chogovadze, Andreas M. Kunz:
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network. - Priyank Srivastava, Guido Cavraro, Jorge Cortés:
Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization. - Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao:
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. - Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan:
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. - Nariman L. Dehghani, Soroush Zamanian, Abdollah Shafieezadeh:
Adaptive network reliability analysis: Methodology and applications to power grid. - Mateusz Klimaszewski, Alina Wróblewska:
COMBO: State-of-the-Art Morphosyntactic Analysis. - Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. - Rodrigo Raya, Viktor Kuncak:
NP Satisfiability for Arrays as Powers. - Kookjin Lee, Nathaniel Trask, Panos Stinis:
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling. - Vasilis Dimitsas, Mark Silberstein:
A readahead prefetcher for GPU file system layer. - Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srini Devadas, Ronald G. Dreslinski, Karim Eldefrawy, Nicholas Genise, Chris Peikert, Daniel Sánchez:
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version). - Olivier Lampron, Daniel Therriault, Martin Lévesque:
An efficient and robust monolithic approach to phase-field quasi-static brittle fracture using a modified Newton method. - Ningshi Yao, Fumin Zhang:
From Instantaneous Schedulability to Worst Case Schedulability: A Significant Moment Approach. - Pedro Pinacho Davidson, Matías Lermanda, A. Ricardo Contreras, María Angélica Pinninghoff:
A secondary immune response based on co-evolutive populations of agents for anomaly detection and characterization. - Behnam Hashemi, Yuji Nakatsukasa:
Least-squares spectral methods for ODE eigenvalue problems. - Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
On the Initial Behavior Monitoring Issues in Federated Learning. - Vinit Ravishankar, Anders Søgaard:
The Impact of Positional Encodings on Multilingual Compression. - Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, Udi Wieder:
Omnipredictors. - Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li:
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. - Fu Li, C. Gregory Plaxton, Vaibhav B. Sinha:
The Obnoxious Facility Location Game with Dichotomous Preferences. - (Withdrawn) Challenges and Solutions in DeepFakes.
- Bogdan Armaselu:
Maximum-Profit Routing Problem with Multiple Vehicles per Site. - Pengda Si, Yao Qiu, Jinchao Zhang, Yujiu Yang:
Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora. - Junhyung Ahn, Adel M. Elmahdy, Soheil Mohajer, Changho Suh:
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs. - Jingcheng Shen, Yifan Wu, Masao Okita, Fumihiko Ino:
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression. - Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning in Mobile Edge Networks. - Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan:
Hybrid Workload Scheduling on HPC Systems. - Ziyuan Ma, Yudong Luo, Jia Pan:
Learning Selective Communication for Multi-Agent Path Finding. - Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang:
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation. - Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng:
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? - Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Pairwise Supervised Contrastive Learning of Sentence Representations. - Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Dacheng Yin, Yucheng Zhao, Wenjun Zeng:
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration. - Varsha Suresh, Desmond C. Ong:
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification. - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Jie Zhang, Myoungsoo Jung:
Ohm-GPU: Integrating New Optical Network and Heterogeneous Memory into GPU Multi-Processors. - Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. - Jialu Wang, Yang Liu, Xin Eric Wang:
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. - Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. - Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. - Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. - Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, Dahua Lin:
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception. - Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Marco Di Renzo, Björn E. Ottersten:
RIS and Cell-Free Massive MIMO: A Marriage For Harsh Propagation Environments. - Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. - Stefano Zampini, Wajih Halim Boukaram, George Turkiyyah, Omar M. Knio, David E. Keyes:
H2Opus: A distributed-memory multi-GPU software package for non-local operators. - Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Autonomous Head-to-Head Racing in the Indy Autonomous Challenge Simulation Race. - Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. - Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin:
End-to-End Conversational Search for Online Shopping with Utterance Transfer. - Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi:
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. - Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. - Mauro Bisiacco, Gianluigi Pillonetto:
Sliding-mode theory under feedback constraints and the problem of epidemic control. - Afek Ilay Adler, Amichai Painsky:
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems. - Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo:
Compute and Energy Consumption Trends in Deep Learning Inference. - Jiale Han, Bo Cheng, Wei Lu:
Exploring Task Difficulty for Few-Shot Relation Extraction. - Xiaoguang Han, Kuize Zhang, Jiahui Zhang, Zhiwu Li, Zengqiang Chen:
Strong current-state and initial-state opacity of discrete-event systems. - Hao Fu, Yan Wang, Ruihua Song, Tianran Hu, Jianyun Nie:
Stylistic Retrieval-based Dialogue System with Unparallel Training Data. - Yotam Nahum, Eyar Ben-Tolila, Leon Anavy:
Single-Read Reconstruction for DNA Data Storage Using Transformers. - Matteo Frosi, Matteo Matteucci:
ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM. - Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition. - Ido Shapira, Amos Azaria:
A Socially Aware Reinforcement Learning Agent for The Single Track Road Problem. - Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang:
Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation. - Kailin Li, Lixin Yang, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu:
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis. - Sam Earle, Justin Snider, Matthew C. Fontaine, Stefanos Nikolaidis, Julian Togelius:
Illuminating Diverse Neural Cellular Automata for Level Generation. - Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. - (Withdrawn) DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control.
- Gautam Kishore Shahi, Sünje Clausen, Stefan Stieglitz:
Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic. - Ryoya Katafuchi, Terumasa Tokunaga:
LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection. - Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan:
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages. - Hasan Abed Al Kader Hammoud, Bernard Ghanem:
Check Your Other Door! Establishing Backdoor Attacks in the Frequency Domain. - Martin Wudenka, Marcus Gerhard Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl:
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions. - Meysam Varasteh, Mehdi Soleiman Nejad, Hadi Moradi, Mohammad Amin Sadeghi, Ahmad Kalhor:
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods. - George Grispos, Frank Tursi, Kim-Kwang Raymond Choo, William Mahoney, William Bradley Glisson:
A Digital Forensics Investigation of a Smart Scale IoT Ecosystem. - Mehdi Arjmand, Mohammad Javad Dousti, Hadi Moradi:
TEASEL: A Transformer-Based Speech-Prefixed Language Model. - Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan:
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. - Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz:
A Decidability-Based Loss Function. - Yue-Jie Hou, Zai-Xin Xie, Jian-Hu, Yao-Shen, Chi-Chun Zhou:
An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy. - Xingwei Tan, Gabriele Pergola, Yulan He:
Extracting Event Temporal Relations via Hyperbolic Geometry. - Mahugnon Honoré Houékpétodji, Nicolas Anquetil, Stéphane Ducasse, Fatiha Djareddir, Jérôme Sudich:
Report From The Trenches: A Case Study In Modernizing Software Development Practices. - Vena Pearl Boñgolan, Arian Allenson M. Valdez, Roselle Leah K. Rivera:
SDG Target Interactions: The Philippine Analysis of Indivisible and Cancelling Targets. - Aichun Zhu, Zijie Wang, Yifeng Li, Xili Wan, Jing Jin, Tian Wang, Fangqiang Hu, Gang Hua:
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval. - Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti:
Adversarial Representation Learning With Closed-Form Solvers. - Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh:
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks. - Jingliang Duan, Yangang Ren, Fawang Zhang, Yang Guan, Dongjie Yu, Shengbo Eben Li, Bo Cheng, Lin Zhao:
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios. - Qi Wang, Sikai Bai, Junyu Gao, Yuan Yuan, Xuelong Li:
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification. - Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. - Jin Wang, Jia Hu, Jed Mills, Geyong Min:
Federated Ensemble Model-based Reinforcement Learning. - Anh-Tu Nguyen, Cong-Thanh Vu:
A study and design of localization system for mobile robot based on ROS. - Fahim Tajwar, Ananya Kumar, Sang Michael Xie, Percy Liang:
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets. - Xugang Wu, Huijun Wu, Xu Zhou, Kai Lu:
CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. - Sebastián J. Ferraro, David Martín de Diego, Rodrigo Sato Martín de Almagro:
Parallel iterative methods for variational integration applied to navigation problems. - Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller:
SphereFace Revived: Unifying Hyperspherical Face Recognition. - Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang:
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds. - Mohammadali Hayerikhiyavi, Aleksandar D. Dimitrovski:
Modeling of A Realistic DC Source in A CVSR. - Alejandro Pardo, Fabian Caba Heilbron, Juan León Alcázar, Ali K. Thabet, Bernard Ghanem:
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition. - Behdad Chalaki, Andreas A. Malikopoulos:
A Priority-Aware Replanning and Resequencing Framework for Coordination of Connected and Automated Vehicles. - J. P. Panda:
Machine Learning for Naval Architecture, Ocean and Marine Engineering. - Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia:
Data Analytics for Smart cities: Challenges and Promises. - (Withdrawn) U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab.
- Ahmad Sajedi, Konstantinos N. Plataniotis:
On the Efficiency of Subclass Knowledge Distillation in Classification Tasks. - Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang:
Multiresolution Deep Implicit Functions for 3D Shape Representation. - Lukas Wegmeth, Alexander Hoelzemann, Kristof Van Laerhoven:
Detecting Handwritten Mathematical Terms with Sensor Based Data. - Ioana Leustean, Bogdan Macovei:
DELP: Dynamic Epistemic Logic for Security Protocols. - Jason Wei:
Good-Enough Example Extrapolation. - Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. - Sean Gillen, Asutay Ozmen, Katie Byl:
Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies. - Katherine M. Malan, Christopher W. Cleghorn:
A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression. - Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Philipp Koehn:
Levenshtein Training for Word-level Quality Estimation. - Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Gang Yan, Hao Wang, Jian Li:
Critical Learning Periods in Federated Learning. - Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi, Shahram Shirani, Shadrokh Samavi:
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network. - Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. - Julia Chuzhoy:
Decremental All-Pairs Shortest Paths in Deterministic Near-Linear Time. - Kyle Burke, Matthew Ferland, Shang-Hua Teng:
Nimber-Preserving Reductions and Homomorphic Sprague-Grundy Game Encodings. - Xuhong Li, Erik Leitinger, Alexander Venus, Fredrik Tufvesson:
Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation. - Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini:
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation. - Nisarg Patel, Siddharth Krishna, Dennis E. Shasha, Thomas Wies:
Verifying Concurrent Multicopy Search Structures. - Maria Korosteleva, Sung-Hee Lee:
Generating Datasets of 3D Garments with Sewing Patterns. - Barak Battash, Lior Wolf, Tamir Hazan:
Mixing between the Cross Entropy and the Expectation Loss Terms. - Md. Redowan Mahmud, Samodha Pallewatta, Mohammad Goudarzi, Rajkumar Buyya:
IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments. - Zhilin Li, Kejia Pan:
Can 4th-order compact schemes exist for flux type BCs? - Ke Li, Renzhi Chen:
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation. - Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup:
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? - Yifei Ming, Hang Yin, Yixuan Li:
On the Impact of Spurious Correlation for Out-of-distribution Detection. - Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE: Shifted Absolute Position Embedding for Transformers. - Jon Oakley, Carl R. Worley, Lu Yu, Richard R. Brooks, Ilker Özçelik, Anthony Skjellum, Jihad S. Obeid:
Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion. - Beata Zjawin, Elie Wolfe, Robert W. Spekkens:
Restricted Hidden Cardinality Constraints in Causal Models. 119-131 - Abigail Z. Jacobs:
Measurement as governance in and for responsible AI. - Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. - Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. - Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar, Apurv Jani, Leighton Collins, Payam Ghassemi, Joseph P. Distefano, David S. Doermann, Karthik Dantu, Ehsan Tarkesh Esfahani, Souma Chowdhury:
Learning Robot Swarm Tactics over Complex Adversarial Environments. - Jin Hong, Simon Chun-Ho Yu, Weitian Chen:
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning. - Jingzheng Tu, Qimin Xu, Cailian Chen:
CANS: Communication Limited Camera Network Self-Configuration for Intelligent Industrial Surveillance. - Milan Biswal, Abu Saleh Md Tayeen, Satyajayant Misra:
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI. - Zhenjia Xu, Zhanpeng He, Shuran Song:
UMPNet: Universal Manipulation Policy Network for Articulated Objects. - Maruthi Narayanan, Vickram Rajendran, Benjamin B. Kimia:
Shape-Biased Domain Generalization via Shock Graph Embeddings. - Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong:
FaceGuard: Proactive Deepfake Detection. - Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel:
Online Unsupervised Learning of Visual Representations and Categories. - Ajay Gangwar, Shweta Jain:
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System. - Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka:
Reinforcement Learning for Load-balanced Parallel Particle Tracing. - Srivatsan Krishnan, Thierry Tambe, Zishen Wan, Vijay Janapa Reddi:
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots. - (Withdrawn) A Novel Solution for Uu Interface Based C-V2X.
- Jian Jia, Xiaotang Chen, Kaiqi Huang:
Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition. - Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. - Keenan Lee, André van Renssen:
Generalized Sweeping Line Spanners. - Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi:
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. - (Withdrawn) On Shallow Packings and Tusnády's Problem.
- Samarth Rawal, Yogatheesan Varatharajah:
SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports. - Nupur Thakur, Baoxin Li:
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. - Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. - Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh:
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context. - Xiaosen Wang, Yifeng Xiong, Kun He:
Randomized Substitution and Vote for Textual Adversarial Example Detection. - Aritra Mitra, Hamed Hassani, George J. Pappas:
Exploiting Heterogeneity in Robust Federated Best-Arm Identification. - Joseph M. Ackerson, Rushit Dave, Jim Seliya:
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection. - Arti D. Yardi, Tejas Bodas:
Covert queueing problem with a Markovian statistic. - Jaimeen Ahn, Alice Oh:
Mitigating Language-Dependent Ethnic Bias in BERT. - Kai Li, Yingjie Tian, Zhiquan Qi:
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. - Soumyabrata Talukder, Ratnesh Kumar:
Robust Stability of Neural-Network Controlled Nonlinear Systems with Parametric Variability. - Yongkeun Hwang, Hyungu Yun, Kyomin Jung:
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information. - Zhongyu Li, Jun Zeng, Shuxiao Chen, Koushil Sreenath:
Vision-Aided Autonomous Navigation of Bipedal Robots in Height-Constrained Environments. - Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu:
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. - Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-Grained Few Shot Learning with Foreground Object Transformation. - Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. - Yangyu Huang, Hao Yang, Chong Li, Jongyoo Kim, Fangyun Wei:
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment. - Qimei Chen, Jiajia Wang, Hao Jiang:
URLLC and eMBB Coexistence in MIMO Non-orthogonal Multiple Access Systems. - Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Fei Yang, Li Zhe, Hujun Bao, Xipeng Qiu:
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. - Guillaume Bonfante, Florian L. Deloup:
The decidability of the genus of regular languages and directed emulators. - Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang:
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation. - Nicola Guglielmi, Volker Mehrmann:
Computation of the nearest structured matrix triplet with common null space. - Vinayak Gupta, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. - Sahand Sabour, Chujie Zheng, Minlie Huang:
CEM: Commonsense-aware Empathetic Response Generation. - Roland Croft, Yongzheng Xie, Muhammad Ali Babar:
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review. - Yuri Cossich Lavinas, Abe Mitsu Teru, Yuta Kobayashi, Claus Aranha:
MOEA/D with Adaptative Number of Weight Vectors. - Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu:
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation. - Zechen Bai, Yuta Nakashima, Noa Garcia:
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. - Qing Liu, Hongyu Lin, Xinyan Xiao, Xianpei Han, Le Sun, Hua Wu:
Fine-grained Entity Typing via Label Reasoning. - Yehonatan Fridman, Matan Rusanovsky, Gal Oren:
ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection. - Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun:
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention. - Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi:
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. - Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. - Jingtang Liang, Xiaodong Cun, Chi-Man Pun:
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization. - Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto:
Adversarially Trained Object Detector for Unsupervised Domain Adaptation. - Anhad Bhati, Sibi Raj B. Pillai, Rahul Vaze:
On the Age of Information of a Queuing System with Heterogeneous Servers. - Zhangqiang Ming, Yong Yang, Xiaoyong Wei, Jianrong Yan, Xiangkun Wang, Fengjie Wang, Min Zhu:
Global-Local Dynamic Feature Alignment Network for Person Re-Identification. - Niklas Angleitner, Markus Faustmann, Jens Markus Melenk:
H-inverses for RBF interpolation. - Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. - Yue Chen, Wei Wei, Cheng Wang, Miadreza Shafie-khah, João P. S. Catalão:
Storage and Transmission Capacity Requirements of a Remote Solar Power Generation System. - Xiaoyi Zhou, Liang Huang, Tong Ye, Weiqiang Sun:
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint. - Ananya B. Sai, Tanay Dixit, Dev Yashpal Sheth, Sreyas Mohan, Mitesh M. Khapra:
Perturbation CheckLists for Evaluating NLG Evaluation Metrics. - Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze:
Wine is Not v i n. - On the Compatibility of Tokenizations Across Languages. - Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. - Tom Bloemers, Roland Tóth, Tom Oomen:
Frequency Response Data Based LPV Controller Synthesis Applied to a Control Moment Gyroscope. - Chunzhi Gu, Yan Zhao, Chao Zhang:
Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks. - Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. - Lei Shen, Haolan Zhan, Xin Shen, Yonghao Song, Xiaofang Zhao:
Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation. - Mengyang Wang, Zhicong Zhang, Jiahui Li, Mengyao Ma, Xiaopeng Fan:
Deep Joint Source-Channel Coding for Multi-Task Network. - Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam:
Effectiveness of Pre-training for Few-shot Intent Classification. - Yasuko Kawahata:
The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning. - Angelo Iollo, Giulia Sambataro, Tommaso Taddei:
A projection-based model reduction method for nonlinear mechanics with internal variables: application to thermo-hydro-mechanical systems. - Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. - Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma:
ARGO: Modeling Heterogeneity in E-commerce Recommendation. - (Withdrawn) Unified Kinematic and Dynamical Modeling of a Soft Robotic Arm by a Piecewise Universal Joint Model.
- Jakob Schöffer, Yvette Machowski, Niklas Kühl:
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. - Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. - Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeffrey Dalton, Mikhail Burtsev:
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. - Peijin Li, Gaotian Wang, Hao Jiang, Yusong Jin, Yinghao Gan, Xiaoping Chen, Jianmin Ji:
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator. - Xingwei He, Victor O. K. Li:
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. - Frank Neumann, Carsten Witt:
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables. - Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar:
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. - Dongqi Wu, Dileep M. Kalathil, Miroslav Begovic, Le Xie:
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems. - Chengrui Wang, Han Fang, Yaoyao Zhong, Weihong Deng:
MLFW: A Database for Face Recognition on Masked Faces. - Chunbiao Guo:
Rectangle-based Approximation for Rendering Glossy Interreflections. - Alessio Meneghetti, Alex Pellegrini, Massimiliano Sala:
On explicit reductions between two purely algebraic problems: MQ and MLD. - Priyanka Sen, Amir Saffari, Armin Oliya:
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection. - Siddharth Barman, Paritosh Verma:
Truthful and Fair Mechanisms for Matroid-Rank Valuations. - Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. - Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. - Christina B. Lund, Bas H. M. van der Velden:
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT. - Armin Oliya, Amir Saffari, Priyanka Sen, Tom Ayoola:
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs. - Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng:
Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator. - Elochukwu A. Ukwandu, Ephraim N. C. Okafor, Charles Ikerionwu, Comfort Olebara, Celestine Ugwu:
Cyber-Security in the Emerging World of Smart Everything. - Sudarshan Tiwari, Axel Klar, Giovanni Russo:
A meshfree arbitrary Lagrangian-Eulerian method for the BGK model of the Boltzmann equation with moving boundaries. - Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot:
Variational Disentanglement for Domain Generalization. - Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-order non-convex learning via hierarchical dual averaging. - Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto:
Adversarial Bone Length Attack on Action Recognition. - Dominique Sommers, Vlado Menkovski, Dirk Fahland:
Process Discovery Using Graph Neural Networks. - Kostia Chardonnet, Louis Lemonnier, Benoît Valiron:
Categorical Semantics of Reversible Pattern-Matching. 18-33 - Ritu Kapur, Balwinder Sodhi:
OSS effort estimation using software features similarity and developer activity-based metrics. - Javier Ferrando, Marta R. Costa-jussà:
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions. - Maksim V. Kubrikov, Mikhail V. Saramud, Angelina Petetskaya, Evgeniy Talay:
Creation and Verification of Digital Twins in Cloud Production. - Muhammad Haris, Kheir Eddine Farfar, Markus Stocker, Sören Auer:
Federating Scholarly Infrastructures with GraphQL. - Shun Kimura, Kazuhiko Kawamoto:
Conditional MoCoGAN for Zero-Shot Video Generation. - Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes:
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. - Zhifeng Tang, Zhuo Sun, Nan Yang, Xiangyun Zhou:
Whittle Index Based Scheduling Policy for Minimizing the Cost of Age of Information. - Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. - Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Claudio Tomasi, Rolf Krause:
Construction of Grid Operators for Multilevel Solvers: a Neural Network Approach. - Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. - Lukas Pfahler, Katharina Morik:
Explaining Deep Learning Representations by Tracing the Training Process. - Nastaran Hajinazar:
Data-Centric and Data-Aware Frameworks for Fundamentally Efficient Data Handling in Modern Computing Systems. - Niklas Reusch, Silviu S. Craciunas, Paul Pop:
Dependability-Aware Routing and Scheduling for Time-Sensitive Networking. - Size Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang:
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images. - Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Zhi-Feng Pang:
Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting. - Dino Pjanic, Alexandros Sopasakis, Harsh Tataria, Fredrik Tufvesson, Andres Reial:
Learning-Based UE Classification in Millimeter-Wave Cellular Systems With Mobility. - Hsuan-Yi Lin, Ren-Song Tsay:
A Precise Program Phase Identification Method Based on Frequency Domain Analysis. - Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly:
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. - Stefan Magureanu, Alexandre Proutière, Marcus Isaksson, Boxun Zhang:
Online Learning of Optimally Diverse Rankings. - Hussam Al Daas, Pierre Jolivet:
A Robust Algebraic Multilevel Domain Decomposition Preconditioner For Sparse Symmetric Positive Definite Matrices. - Miguel Altamirano Cabrera, Juan Heredia, Jonathan Tirado, Vladislav Panov, Fikre Hagos, Dzmitry Tsetserukou:
CoHaptics: Development of Human-Robot Collaborative System with Forearm-worn Haptic Display to Increase Safety in Future Factories. - Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera:
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. - Dimosthenis C. Tsouros, Kostas Stergiou:
Efficient Multiple Constraint Acquisition. - Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang:
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs. - Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Adversarial Examples for Evaluating Math Word Problem Solvers. - Mohammad Masiur Rahaman:
An open-source implementation of a phase-field model for brittle fracture using Gridap in Julia. - Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales:
Vision-based system identification and 3D keypoint discovery using dynamics constraints. - Hamed R. Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan:
Cross-Market Product Recommendation. - Marios Constantinides, Sanja Scepanovic, Daniele Quercia, Hongwei Li, Ugo Sassi, Michael S. Eggleston:
ComFeel: Productivity is a Matter of the Senses Too. - Agoritsa Polyzou, Maria Kalantzi, George Karypis:
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation. - Shuang Liu, Mete Ozay:
Task Guided Compositional Representation Learning for ZDA. - Pedro Garcia:
Modeling Systems with Machine Learning based Differential Equations. - Yong Wang:
Truly Concurrent Process Algebra with Localities. - Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li:
Cross Domain Robot Imitation with Invariant Representation. - Seonghyeon Ye, Jiseon Kim, Alice Oh:
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning. - Moran Feldman, Ariel Szarf:
Maximum Matching sans Maximal Matching: A New Approach for Finding Maximum Matchings in the Data Stream Model. - Olivier Goudet, Cyril Grelier, Jin-Kao Hao:
A deep learning guided memetic framework for graph coloring problems. - Charangan Vasantharajan, Uthayasanker Thayasivam:
Tamizhi-Net OCR: Creating A Quality Large Scale Tamil-Sinhala-English Parallel Corpus Using Deep Learning Based Printed Character Recognition (PCR). - Andrei Sperila, Cristian Oara, Bogdan D. Ciubotaru, Serban Sabau:
Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity. - Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. - Jack H. Lutz, Neil Lutz, Elvira Mayordomo:
Dimension and the Structure of Complexity Classes. - Mohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi, Hosein Mohebbi, Mohammad Taher Pilehvar:
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations. - Bahram Jalali, Achuta Kadambi, Vwani P. Roychowdhury:
Physics-AI Symbiosis. - Jonathan Kua, Chetan Arora, Seng W. Loke, Niroshinie Fernando, Chathurika Ranaweera:
Internet of Things in Space: A Review of Opportunities and Challenges from Satellite-Aided Computing to Digitally-Enhanced Space Living. - Lintong Zhang, David Wisth, Marco Camurri, Maurice F. Fallon:
Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
RWP+: A New Random Waypoint Model for High-Speed Mobility. - Oleg Borisov, Mohammad Aliannejadi, Fabio Crestani:
Keyword Extraction for Improved Document Retrieval in Conversational Search. - Ziteng Gao, Limin Wang, Gangshan Wu:
Mutual Supervision for Dense Object Detection. - Logan E. Beaver, Andreas A. Malikopoulos:
Constraint-Driven Optimal Control of Multi-Agent Systems: A Highway Platooning Case Study. - Cassidy Krause, Weizhang Huang, David B. Mechem, Erik S. Van Vleck, Min Zhang:
A Metric Tensor Approach to Data Assimilation with Adaptive Moving Meshes. - Pascal Heid, Endre Süli:
Adaptive iterative linearised finite element methods for implicitly constituted incompressible fluid flow problems and its application to Bingham fluids. - Meera Ratnagiri, Clare O'Dwyer, Logan E. Beaver, Heeseung Bang, Behdad Chalaki, Andreas A. Malikopoulos:
A Scalable Last-Mile Delivery Service: From Simulation to Scaled Experiment. - Sahab Hajebi, Ramin Javadi:
On the Parameterized Complexity of the Acyclic Matching Problem. - Zhongqin Wang, J. Andrew Zhang, Min Xu, Y. Jay Guo:
Single-Target Real-Time Passive WiFi Tracking. - Andrew M. McNutt, Lilian Huang, Kathryn Koenig:
Visualization for Villainy. - Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. - Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig:
When is Wall a Pared and when a Muro? - Extracting Rules Governing Lexical Selection. - Kai Wan, Minquan Cheng, Mari Kobayashi, Giuseppe Caire:
On the Optimal Load-Memory Tradeoff of Coded Caching for Location-Based Content. - Siddhartha S. Borkotoky, Pavan Datta Abbineni, Vatsalya Chaubey, Sonu Rathi:
Coded Relaying in LoRa Sensor Networks. - Nicolas Bousquet, Laurent Feuilloley, Marc Heinrich, Mikaël Rabie:
Distributed recoloring of interval and chordal graphs. - Misael Mongiovì, Aldo Gangemi:
Graph-based Retrieval for Claim Verification over Cross-Document Evidence. - Anshuman Suri, David Evans:
Formalizing and Estimating Distribution Inference Risks. - Davi Pereira-Santos, Gabriel Dalforno, André C. P. L. F. de Carvalho:
Predictable universally unique identification of sequential events on complex objects. - Maryam Khazaei, Yeganeh Karamipour:
Numerical Solution of The Seventh Order Boundary Value Problems using B-spline Method. - Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
Traffic Event Detection as a Slot Filling Problem. - Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. - René van Bevern, Artem M. Kirilin, Daniel A. Skachkov, Pavel V. Smirnov, Oxana Yu. Tsidulko:
Serial and parallel kernelization of Multiple Hitting Set parameterized by the Dilworth number, implemented on the GPU. - Nadica Miljkovic, Ana Trisovic, Limor Peer:
Towards FAIR Principles for Open Hardware. - Qiwei Bi, Haoyuan Li, Kun Lu, Hanfang Yang:
Augmented Abstractive Summarization With Document-LevelSemantic Graph. - Akbar M. Sayeed:
How is Time Frequency Space Modulation Related to Short Time Fourier Signaling? - Filippo Bonchi, Fabio Gadducci, Aleks Kissinger, Pawel Sobocinski, Fabio Zanasi:
String Diagram Rewrite Theory III: Confluence with and without Frobenius. - Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. - Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li:
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size. - Ambedkar Dukkipati, Tony Gracious, Shubham Gupta:
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India. - Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang:
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. - Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz:
Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. - Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng:
Semantics-Guided Contrastive Network for Zero-Shot Object detection. - Deming Ye, Yankai Lin, Maosong Sun:
Pack Together: Entity and Relation Extraction with Levitated Marker. - Marcus Botacin, André Grégio:
A [in]Segurança dos Sistemas Governamentais Brasileiros: Um Estudo de Caso em Sistemas Web e Redes Abertas. - (Withdrawn) BeautifAI - A Personalised Occasion-oriented Makeup Recommendation System.
- Raymond Low, Zeynep Duygu Tekler, Lynette Cheah:
An End-to-end Point of Interest (POI) Conflation Framework. - Heather C. Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard:
On Language Models for Creoles. - Thomas Bolander, Nina Gierasimczuk, Andrés Occhipinti Liberman:
Learning to Act and Observe in Partially Observable Domains. - Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang:
Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles. - Yang Li, Linbo Li, Daiheng Ni:
Pareto-optimal fronts to diminish lane-changing impact in mixed traffic. - Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath, Jan-Martin O. Steitz, Stefan Roth, Ivan Vulic, Iryna Gurevych:
xGQA: Cross-Lingual Visual Question Answering. - Claude Sureson:
The inverse of Ackermann function is computable in linear time. - Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou:
On Pursuit of Designing Multi-modal Transformer for Video Grounding. - Dimitrios Michael Manias, Ibrahim Shaer, Li Yang, Abdallah Shami:
Concept Drift Detection in Federated Networked Systems. - Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf:
Direct Advantage Estimation. - Yi Yang, Daoye Zhu, Tengteng Qu, Qiangyu Wang, Fuhu Ren, Chengqi Cheng:
Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data. - Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend:
The Grammar-Learning Trajectories of Neural Language Models. - Marco Nicoletti, Massimo Bernaschi:
Forensics for Microsoft Teams. - Alexander Bastounis, Anders C. Hansen, Verner Vlacic:
The mathematics of adversarial attacks in AI - Why deep learning is unstable despite the existence of stable neural networks. - Sattar Vakili, Michael Bromberg, Da-Shan Shiu, Alberto Bernacchia:
Uniform Generalization Bounds for Overparameterized Neural Networks. - Raghavendra Pappagari, Piotr Zelasko, Agnieszka Mikolajczyk, Piotr Pezik, Najim Dehak:
Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios. - Eva Vanmassenhove, Chris Emmery, Dimitar Shterionov:
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives. - Tahiya Salam, Victoria M. Edwards, M. Ani Hsieh:
Learning and Leveraging Environmental Features to Improve Robot Awareness. - Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. - Raghavendra Pappagari, Piotr Zelasko, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Beyond Isolated Utterances: Conversational Emotion Recognition. - Sándor Bartha, James Cheney, Vaishak Belle:
One Down, 699 to Go: or, synthesising compositional desugarings. - Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang:
LiDAR Odometry Methodologies for Autonomous Driving: A Survey. - Kyungjun Lee, Daisuke Sato, Saki Asakawa, Chieko Asakawa, Hernisa Kacorri:
Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind. - Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao:
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering. - Yi Nian, Jingcheng Du, Larry Bu, Fang Li, Xinyue Hu, Yuji Zhang, Cui Tao:
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery. - Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray:
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. - Marcus Botacin, André Grégio:
Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing. - Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard:
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. - Akbar M. Sayeed, Peter G. Vouras, Camillo Gentile, Alec Weiss, Jeanne T. Quimby, Zihang Cheng, Bassel Modad, Yuning Zhang, Chethan Kumar Anjinappa, Fatih Erden, Özgür Özdemir, Robert Müller, Diego A. Dupleich, Han Niu, David G. Michelson, Aidan Hughes:
A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements. - Tyler Sorensen, Lucas F. Salvador, Harmit Raval, Hugues Evrard, John Wickerson, Margaret Martonosi, Alastair F. Donaldson:
Specifying and Testing GPU Workgroup Progress Models. - Zachary Susskind, Bryce Arden, Lizy K. John, Patrick M. Stockton, Eugene B. John:
Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization. - Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar:
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy. - Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith:
On Tilted Losses in Machine Learning: Theory and Applications. - Steven Lang, Fabrizio Ventola, Kristian Kersting:
DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection. - (Withdrawn) Image Shape Manipulation from a Single Augmented Training Sample.
- Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau:
Relaxed Marginal Consistency for Differentially Private Query Answering. - Neeraj Sarna, Peter Benner:
Learning reduced order models from data for hyperbolic PDEs. - Michael J. Q. Zhang, Eunsol Choi:
SituatedQA: Incorporating Extra-Linguistic Contexts into QA. - Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. - Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield:
Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. - Irina Saparina, Anton Osokin:
SPARQLing Database Queries from Intermediate Question Decompositions. - Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath:
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation. - Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin:
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation. - Badour AlBahar, Jingwan Lu, Jimei Yang, Zhixin Shu, Eli Shechtman, Jia-Bin Huang:
Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN. - Justin M. Bui, Glauco A. Amigo, Robert J. Marks II:
Generatively Augmented Neural Network Watchdog for Image Classification Networks. - Vincent Schlatt, Johannes Sedlmeir, Janina Traue, Fabiane Völter:
A Decentralized Electronic Prescription Management System. - Bin Zhu, Zhaoquan Gu, Le Wang, Zhihong Tian:
TREATED: Towards Universal Defense against Textual Adversarial Attacks. - Ondrej Lukás, Sebastián García:
Deep Generative Models to Extend Active Directory Graphs with Honeypot Users. - Ronny Luss, Amit Dhurandhar:
Towards Better Model Understanding with Path-Sufficient Explanations. - Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche:
The Emergence of the Shape Bias Results from Communicative Efficiency. - Alexander Tornede, Viktor Bengs, Eyke Hüllermeier:
Machine Learning for Online Algorithm Selection under Censored Feedback. - Gerry Chen, Sereym Baek, Juan-Diego Florez, Wanli Qian, Sang-won Leigh, Seth Hutchinson, Frank Dellaert:
Extended Version of GTGraffiti: Spray Painting Graffiti Art from Human Painting Motions with a Cable Driven Parallel Robot. - Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison:
Incremental Abstraction in Distributed Probabilistic SLAM Graphs. - Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh:
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. - Tianrui Guan, Zhenpeng He, Dinesh Manocha, Liangjun Zhang:
TTM: Terrain Traversability Mapping for Autonomous Excavator Navigation in Unstructured Environments. - Ivan Provilkov, Andrey Malinin:
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation. - Yunan Yang, Jingwei Hu, Yifei Lou:
Implicit Regularization Effects of the Sobolev Norms in Image Processing. - Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzod Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis M. Tyers, Orhan Firat, John Licato, Sriram Chellappan:
Evaluating Multiway Multilingual NMT in the Turkic Languages. - Juan Antonio Ramirez-Orta, Eduardo Xamena, Ana Gabriela Maguitman, Evangelos E. Milios, Axel J. Soto:
Post-OCR Document Correction with large Ensembles of Character Sequence Models. - Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao:
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation. - Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin:
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms. - Florian Meyer, Phil Malessa, Jan Niklas Diercks, Volker Turau:
Are Group Acknowledgements Worth Anything in IEEE 802.15.4 DSME: A Comparative Analysis. - Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. - Cristian-Paul Bara, Sky CH-Wang, Joyce Chai:
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks. - Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive All-Hex Meshing via Cuboid Decomposition. - Ayyoob Imani, Masoud Jalili Sabet, Lütfi Kerem Senel, Philipp Dufter, François Yvon, Hinrich Schütze:
Graph Algorithms for Multiparallel Word Alignment. - Alex DiChristofano, Michael L. Hamilton, Sera Linardi, Mara F. McCloud:
Project 412Connect: Bridging Students and Communities. - Dennis Brons, Roeland Scheepens, Dirk Fahland:
Striking a new balance in accuracy and simplicity with the Probabilistic Inductive Miner. - Eunhyek Joa, Francesco Borrelli:
Monocular Camera Localization for Automated Vehicles Using Image Retrieval. - Souti Chattopadhyay, Denae Ford, Thomas Zimmermann:
Developers Who Vlog: Dismantling Stereotypes through Community and Identity. - Shufan Wang, Laure Thompson, Mohit Iyyer:
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration. - Negin Ghasemi, Mohammad Aliannejadi, Djoerd Hiemstra:
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search. - Michalis Korakakis, Andreas Vlachos:
Mitigating Catastrophic Forgetting in Scheduled Sampling with Elastic Weight Consolidation in Neural Machine Translation. - Atoosa Kasirzadeh, Damian Clifford:
Fairness and Data Protection Impact Assessments. - Simon P. Shen, Yecheng Jason Ma, Omer Gottesman, Finale Doshi-Velez:
State Relevance for Off-Policy Evaluation. - Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez:
Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty. - Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth:
Learning Constraints and Descriptive Segmentation for Subevent Detection. - Jane Greenberg, Christopher B. Rauch, Mat Kelly:
Project Pipeline: Preservation, Persistence, and Performance. - Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Mitigating Sampling Bias and Improving Robustness in Active Learning. - Marium Tawhid, Ajay Singh Ludher, Hashim A. Hashim:
Stochastic Observer for SLAM on the Lie Group. - Alex Jones, William Yang Wang, Kyle Mahowald:
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. - Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig:
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning. - Judit Ács, Dániel Lévai, András Kornai:
Evaluating Transferability of BERT Models on Uralic Languages. - Mikhail V. Simkin:
The correlation coefficient between citation metrics and winning a Nobel or Abel Prize. - Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. - Lisa Bylinina, Alexey Tikhonov, Ekaterina Garmash:
Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models. - Michael Leybovich, Oded Shmueli:
ML Based Lineage in Databases. - Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu:
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. - Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins:
Uncertainty-Aware Machine Translation Evaluation. - Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. - Ling Zhang, Baosen Zhang:
An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems. - Moein Sabounchi, Jin Wei-Kocsis:
A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems. - Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé:
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring. - Xin Guo, Anran Hu, Junzi Zhang:
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. - Won Park, Nan Liu, Qi Alfred Chen, Z. Morley Mao:
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models. - Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern:
From Heatmaps to Structural Explanations of Image Classifiers. - Jingfan Meng, Huayi Wang, Jun Xu, Mitsunori Ogihara:
A Dyadic Simulation Approach to Efficient Range-Summability. - Jianqing Fan, Yongyi Guo, Mengxin Yu:
Policy Optimization Using Semiparametric Models for Dynamic Pricing. - Yasushi Amano, Tomohiko Jimbo, Kenji Fujimoto:
Tracking Control foe Multi-Agent Systems Using Broadcast Signals Based on Positive Realness. - Sina Ahmadi:
Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis. - Murilo Marques Marinho, Bruno Vilhena Adorno:
Adaptive Constrained Kinematic Control using Partial or Complete Task-Space Measurements. - Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. - Joseph Zuckerman, Davide Giri, Jihye Kwon, Paolo Mantovani, Luca P. Carloni:
Cohmeleon: Learning-Based Orchestration of Accelerator Coherence in Heterogeneous SoCs. - Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush:
Rationales for Sequential Predictions. - Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning with Constant Communication Bits. - Yiwei Hu, Chengan He, Valentin Deschaintre, Julie Dorsey, Holly E. Rushmeier:
An Inverse Procedural Modeling Pipeline for SVBRDF Maps. - Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang:
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance. - Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou:
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. - Daizong Liu, Xiaoye Qu, Pan Zhou:
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. - Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. - Partha Kadambi:
Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter. - Gábor Ivanyos, Tushant Mittal, Youming Qiao:
Symbolic determinant identity testing and non-commutative ranks of matrix Lie algebras. - Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray:
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. - Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu:
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. - Haojie Shi, Bo Zhou, Hongsheng Zeng, Fan Wang, Yueqiang Dong, Jiangyong Li, Kang Wang, Hao Tian, Max Q.-H. Meng:
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion. - Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. - Mingxuan Chen, Xinqiao Chu, K. P. Subbalakshmi:
MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification. - Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa, Linwei Li, Yukari Yamakawa, Shikun Zhang, Teruko Mitamura:
Cross-document Event Identity via Dense Annotation. - Zhijie Wang, Xing Liu, Masanori Suganuma, Takayuki Okatani:
Cross-Region Domain Adaptation for Class-level Alignment. - Ngozi Ihemelandu, Michael D. Ekstrand:
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse. - Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur:
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. - Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. - Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng:
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. - Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features. - Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao:
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker. - Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. - Elijah Robert Bouma-Sims:
Learning to Drive on the Wrong Side of the Road: How American Computing Came to Rely on Conferences for Primary Publication. - Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. - Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou:
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning. - Nima Anari, Michal Derezinski, Thuy-Duong Vuong, Elizabeth Yang:
Domain Sparsification of Discrete Distributions using Entropic Independence. - Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman:
Designing a Combinatorial Financial Options Market. - Bochen Tan, Jason Cong:
Optimal Qubit Mapping with Simultaneous Gate Absorption. - Zhiyu Huang, Xiaoyu Mo, Chen Lv:
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving. - Dariush Salami, Ramin Hasibi, Sameera Palipana, Petar Popovski, Tom Michoel, Stephan Sigg:
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds. - Khuong Tran, Ashlesha Akella, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Chin-Teng Lin:
Deep hierarchical reinforcement agents for automated penetration testing. - Hanieh Nourkojouri, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian:
A machine-learning framework for daylight and visual comfort assessment in early design stages. - Somayeh Hussaini, Michael Milford, Tobias Fischer:
Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments. - Defang Chen, Can Wang, Yan Feng, Chun Chen:
Exploring the Connection between Knowledge Distillation and Logits Matching. - Reyhane Abarghooie, Zahra Sadat Zomorodian, Mohammad Tahsildoost, Zohreh Shaghaghian:
A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages. - Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan:
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. - Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici:
Dodging Attack Using Carefully Crafted Natural Makeup. - Karina Zadorozhny, Lada Nuzhna:
Deep Denerative Models for Drug Design and Response. - Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu:
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. - Peter Müllner, Elisabeth Lex, Dominik Kowald:
Position Paper on Simulating Privacy Dynamics in Recommender Systems. - Hung Nguyen, Fuxin Li:
Space Time Recurrent Memory Network. - Marius Bozga, Joseph Sifakis:
Specification and Validation of Autonomous Driving Systems: A Multilevel Semantic Framework. - Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar:
Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy. - Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu:
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. - Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. - Haixiang Li, Xiaoyan Li, Yuxing Chen, Yuean Zhu, Xiaoyong Du, Wei Lu, Chang Liu, Anqun Pan:
Coo: Rethink Data Anomalies In Databases. - Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. - Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal, Aditya Sharma:
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers. - Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. - Christophe Chareton, Sébastien Bardin, Dongho Lee, Benoît Valiron, Renaud Vilmart, Zhaowei Xu:
Formal Methods for Quantum Programs: A Survey. - Dominic Breit, Andreas Prohl:
Error analysis for 2D stochastic Navier-Stokes equations in bounded domains. - Dor Lavi, Volodymyr Medentsiy, David Graus:
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. - Daniele Astolfi, Laurent Praly, Lorenzo Marconi, Mines Paristech:
Nonlinear Robust Periodic Output Regulation of Minimum Phase Systems. - Saksham Consul, Jugoslav Stojcheski, Valkyrie Felso, Falk Lieder:
Optimal To-Do List Gamification for Long Term Planning. - Song Yang, Jacopo Urbani:
Tribrid: Stance Classification with Neural Inconsistency Detection. - Yong-Liang Zhao, Jing Wu, Xian-Ming Gu:
On the bilateral preconditioning for a L2-type all-at-once system arising from time-space fractional Bloch-Torrey equations. - Oren Wiezel, Suresh Ramasamy, Nathan Justus, Yizhar Or, Ross L. Hatton:
Geometric analysis of gaits and optimal control for three-link kinematic swimmers. - Chujie Zheng, Minlie Huang:
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation. - Eshagh Kargar, Ville Kyrki:
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments. - Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh:
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission. - Xuan Lin, Min Sung Ahn, Dennis W. Hong:
Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning. - Zheng-Xun Jiang, Ren-Song Tsay:
A Double-Linked Blockchain Approach Based on Proof-of-Refundable-Tax Consensus Algorithm. - Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Efficient Sampling of Dependency Structures. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
New Extremal Binary Self-Dual Codes of Length 72 from M6(F2)G - Group Matrix Rings by a Hybrid Search Technique Based on a Neighbourhood-Virus Optimisation Algorithm. - Yi Dong, Xingyu Zhao, Xiaowei Huang:
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems. - Yao Qiu, Jinchao Zhang, Jie Zhou:
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks. - Dolores Messer, Jakob Wilm, Eythor R. Eiriksson, Vedrana Andersen Dahl, Anders B. Dahl:
Image-Based Alignment of 3D Scans. - Jiseon Kim, Elden Griggs, In Song Kim, Alice Oh:
Learning Bill Similarity with Annotated and Augmented Corpora of Bills. - Jonas van Ouwerkerk, Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Zerrahn, Alexander Murmann, Jann Launer, Laura Torralba-Díaz, Christian Bußar:
Comparison of power sector models by analyzing the impact of modeling features on optimal capacity expansion. - Alberto Dafonte-Gomez, María-Isabel Míguez-González, Xabier Martínez-Rolán:
Los fact-checkers iberoamericanos frente a la COVID-19. Análisis de actividad en Facebook / The Ibero-American fact-checkers facing the COVID-19. Analysis of activity on Facebook. - Yao Qiu, Jinchao Zhang, Jie Zhou:
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. - Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou:
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training. - Le Liu, Jieren Cheng, Boyi Liu, Yue Yang, Ke Zhou, Qiaobo Da:
Multi-Level Features Contrastive Networks for Unsupervised Domain Adaptation. - Xiyuan Liu, Chongjian Yuan, Fu Zhang:
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras. - Vincent Wang-Mascianica, Bob Coecke:
Talking Space: inference from spatial linguistic meanings. - Bertrand Meyer, Alisa Arkadova, Alexander Kogtenkov, Alexandr Naumchev:
The concept of class invariant in object-oriented programming. - Janne H. Korhonen, Amir Nikabadi:
Beyond Distributed Subgraph Detection: Induced Subgraphs, Multicolored Problems and Graph Parameters. - Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. - Wentai Wu, Ligang He, Weiwei Lin:
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data. - Shmuel Onn:
The Complexity of Vector Partition. - Mohammad Aliannejadi, Fabio Crestani, Theo Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera:
The Impact of User Demographics and Task Types on Cross-App Mobile Search. - István András Seres, Balázs Pejó, Péter Burcsi:
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? - Franziska Dobrigkeit, Christoph Matthies, Ralf Teusner, Michael Perscheid:
Joining Forces: Applying Design Thinking Techniques in Scrum Meetings. - Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin:
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents. - Ying Wang, Tingzhen Liu, Zepeng Bu, Yuhui Huang, Lizhong Gao, Qiao Wang:
A Semantic Indexing Structure for Image Retrieval. - Shouda Wang, Weijie Zheng, Benjamin Doerr:
Choosing the Right Algorithm With Hints From Complexity Theory. - Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting:
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits. - Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen:
High-Fidelity GAN Inversion for Image Attribute Editing. - Andrew R. Casey, Ilya Mandel, Prasun K. Ray:
The impact of the COVID-19 pandemic on academic productivity. - Amirreza Akbari, Henrik Lievonen, Darya Melnyk, Joona Särkijärvi, Jukka Suomela:
Online Algorithms with Lookaround. - Febrian Setianto, Erion Tsani, Fatima Sadiq, Georgios Domalis, Dimitris Tsakalidis, Panos Kostakos:
GPT-2C: A GPT-2 parser for Cowrie honeypot logs. - Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla, Martin J. Schuster, Teresa A. Vidal-Calleja, Rudolph Triebel:
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps. - Anna Rogers, Tim Baldwin, Kobi Leins:
Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP. - Keren Censor-Hillel, Yannic Maus, Shahar Romem Peled, Tigran Tonoyan:
Distributed Vertex Cover Reconfiguration. - Xin Zheng, Zhirui Zhang, Shujian Huang, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen:
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation. - Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott:
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model. - Stavros D. Ioannidis, Bart de Keijzer, Carmine Ventre:
Strong Approximations and Irrationality in Financial Networks with Financial Derivatives. - Satheesh K. Perepu, Kaushik Dey:
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. - Jean Barbier, Nicolas Macris:
Statistical limits of dictionary learning: random matrix theory and the spectral replica method. - Raphael Sahann, Torsten Möller, Johanna Schmidt:
Histogram binning revisited with a focus on human perception. - Francisco Handrick da Costa, Ismael Medeiros, Thales Menezes, João Victor da Silva, Ingrid Lorraine da Silva, Rodrigo Bonifácio, Krishna Narasimhan, Márcio Ribeiro:
Exploring the Use of Static and Dynamic Analysis to Improve the Performance of the Mining Sandbox Approach for Android Malware Identification. - Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang:
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration. - Chong Mou, Jian Zhang, Zhuoyuan Wu:
Dynamic Attentive Graph Learning for Image Restoration. - François Hamonic, Cécile Albert, Basile Couëtoux, Yann Vaxès:
Optimizing the ecological connectivity of landscapes with generalized flow models and preprocessing. - Pegah Rahimian, Afshin Oroojlooy, László Toka:
Towards optimized actions in critical situations of soccer games with deep reinforcement learning. - Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. - Paulo R. Vieira, Pedro D. Félix, Luís Macedo:
Open-World Active Learning with Stacking Ensemble for Self-Driving Cars. - Xiangxiong Kong:
Investigation of condominium building collapse in Surfside, Florida: a video feature tracking approach. - Gerardo Vitagliano, Lan Jiang, Felix Naumann:
Detecting Layout Templates in Complex Multiregion Files. - Praveen Fernando, Jin Wei-Kocsis:
A Novel Data Encryption Method Inspired by Adversarial Attacks. - Daya Guo, Zhaoyang Zeng:
Multi-modal Representation Learning for Video Advertisement Content Structuring. - Jun-Wei Hsieh, Ming-Ching Chang, Bor-Shiun Wang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks. - Darya Melnyk, Yuyi Wang, Roger Wattenhofer:
Online k-Way Matching with Delays and the H-Metric. - Per Ljung, Roland Maier, Axel Målqvist:
A space-time multiscale method for parabolic problems. - Jiayu Ding, Yuchen Cao, Changhao Shi:
CropDefender: deep watermark which is more convenient to train and more robust against cropping. - Zhixiong Yue, Pengxin Guo, Yu Zhang:
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search. - Andrés Mateo-Gabín, Juan Manzanero, Eusebio Valero:
An entropy stable spectral vanishing viscosity for discontinuous Galerkin schemes: application to shock capturing and LES models. - Dimitri Michel Stallenberg, Mitchell Olsthoorn, Annibale Panichella:
Improving Test Case Generation for REST APIs Through Hierarchical Clustering. - Michael Hertneck, Frank Allgöwer:
Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions. - Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Jun He:
An MRC Framework for Semantic Role Labeling. - Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. - Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan:
Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space. - Jinyung Hong, Theodore P. Pavlic:
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. - Ferheen Ayaz, Zhengguo Sheng, Daxin Tian, Yong Liang Guan:
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks. - Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. - Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, Liqing Zhang:
High-Resolution Image Harmonization via Collaborative Dual Transformations. - Kun Lu, Guancan Yang, Xue Wang:
Topics Emerged in the Biomedical Field and Their Characteristics. - Alexandre Berard, Dain Lee, Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina:
Efficient Inference for Multilingual Neural Machine Translation. - Chuan-Fei Zhang, Yan Liu, Tian-Hao Zhang, Song-Lu Chen, Feng Chen, Xu-Cheng Yin:
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition. - Jianping Zhang, Yanyan Li:
Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation. - Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, Chunxia Xiao:
Luminance Attentive Networks for HDR Image and Panorama Reconstruction. - Yue Meng, Zengyi Qin, Chuchu Fan:
Reactive and Safe Road User Simulations using Neural Barrier Certificates. - Evgeniy Egorov, Vasily Kostyumov, Mikhail Konyk, Sergey Kolesnikov:
LRWR: Large-Scale Benchmark for Lip Reading in Russian language. - Charles Dawson, Zengyi Qin, Sicun Gao, Chuchu Fan:
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions. - Zhaoxing Deng, Xutian Deng, Miao Li:
Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection. - Elena Bruches, Anastasia Mezentseva, Tatiana Batura:
A system for information extraction from scientific texts in Russian. - Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. - Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, Yaduo Liu:
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling. - Diego M. Mateos, Federico Morana, Hugo Aimar:
A graph complexity measure based on the spectral analysis of the Laplace operator. - Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean M. McHugh, Robert Entjes, Nardo J. M. van der Meer, Dave A. Dongelmans, Age D. Boelens, Sander Rigter, Stefaan H. A. Hendriks, Remko de Jong, Marlijn J. A. Kamps, Marco A. A. Peters, A. Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P. C. de Jager, Fleur G. C. A. Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D. Cornet, Auke C. Reidinga, Wouter de Ruijter, Rob J. Bosman, Tim Frenzel, Louise C. Urlings-Strop, Paul de Jong, Ellen G. M. Smit, Olaf L. Cremer, Frits H. M. van Osch, Harald J. Faber, Judith Lens, Gert B. Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A. A. Rijkeboer, Annemieke Dijkstra, M. Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C. Gritters van den Oever, Paul W. G. Elbers, Giovanni Cinà:
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients. - Mehmet Emre Ozfatura, Junlin Zhao, Deniz Gündüz:
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling. - Audrey G. Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong:
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification. - Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl:
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. - Vinay Setty, Krisztian Balog:
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020. - David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. - Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter:
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. - Zhe Hu, Zhiwei Cao, Hou Pong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su, Hua Wu:
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward. - Letian Peng, Zuchao Li, Hai Zhao:
Sparse Fuzzy Attention for Structured Sentiment Analysis. - Ted Hurley:
Linear block and convolutional MDS codes to required rate, distance and type. - Lucas Bernardi, Sakshi Batra, Cintia Alicia Bruscantini:
Simulations in Recommender Systems: An industry perspective. - Robert Beinert:
Approximation of Curve-based Sleeve Functions in High Dimensions. - Yue Meng, Dawei Sun, Zeng Qiu, Md Tawhid Bin Waez, Chuchu Fan:
Learning Density Distribution of Reachable States for Autonomous Systems. - Bo Yang, Yiwen Lu, Xu Yang, Yilin Mo:
A Hierarchical Control Framework for Drift Maneuvering of Autonomous Vehicles. - Tao Li, Xinsheng Wang, Qicong Xie, Zhichao Wang, Lei Xie:
Controllable cross-speaker emotion transfer for end-to-end speech synthesis. - Christian Hansen:
Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading. - Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic:
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning. - Yagiz Savas, Christos K. Verginis, Ufuk Topcu:
Deceptive Decision-Making Under Uncertainty. - Jia-Yao Yang, Hao Zhu, Yue-Jie Hou, Ping Zhang, Chi-Chun Zhou:
Why Existing Machine Learning Methods Fails At Extracting the Information of Future Returns Out of Historical Sctock Prices : the Curve-Shape-Feature and Non-Curve-Shape-Feature Modes. - Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. - Mingyu Li, Changkun Jiang, Lin Gao, Tong Wang, Yufei Jiang:
Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach. - Patrick Schnider:
The complexity of sharing a pizza. - Samuel Cahyawijaya, Genta Indra Winata, Holy Lovenia, Bryan Wilie, Wenliang Dai, Etsuko Ishii, Pascale Fung:
Greenformer: Factorization Toolkit for Efficient Deep Neural Networks. - Jan Heiland, Benjamin Unger:
Identification of linear time-invariant systems with Dynamic Mode Decomposition. - Cong Wang, Yu-Ping Wang, Dinesh Manocha:
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints. - Noëmi Aepli, Rico Sennrich:
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise. - Anh-Tu Nguyen, Cong-Thanh Vu:
Obstacle Avoidance for Autonomous Mobile Robots Based on Mapping Method. - Pia Wilsdorf, Anja Wolpers, Jason Hilton, Fiete Haack, Adelinde M. Uhrmacher:
Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns. - Bing He, Mustaque Ahamad, Srijan Kumar:
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. - Danijar Hafner:
Benchmarking the Spectrum of Agent Capabilities. - Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs Campbell:
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. - Evren Mert Turan, Johannes Jäschke:
Multiple shooting with neural differential equations. - Márton Benedek, Péter Biró, Walter Kern, Daniël Paulusma:
Computing Balanced Solutions for Large International Kidney Exchange Schemes. - Bangti Jin, Zhi Zhou:
Recovery of a Space-Time Dependent Diffusion Coefficient in Subdiffusion: Stability, Approximation and Error Analysis. - Amit Borundiya, Arshak Navruzyan, Dennis Igoschev, Feras C. Oughali, Hemanth Pasupuleti, Mike Fuller, Vinay Kanigicherla, T. S. Aniruddha Kashyap, Rishabh Chaurasia, Sonali Vinod Jain:
A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images. - Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How:
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. - Hoda Nematy:
A comprehensive secure protocol for all D2D scenarios. - Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme:
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. - Rachele Carli, Amro Najjar:
Rethinking Trust in Social Robotics. - Alain Finkel, Serge Haddad, Igor Khmelnitsky:
Coverability, Termination, and Finiteness in Recursive Petri Nets. - David Wilmot, Frank Keller:
A Temporal Variational Model for Story Generation. - Md. Rayhanur Rahman, Rezvan Mahdavi-Hezaveh, Laurie A. Williams:
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey. - Akash Patel, Avijit Banerjee, Björn Lindqvist, Christoforos Kanellakis, George Nikolakopoulos:
Design and Model Predictive Control of Mars Coaxial Quadrotor. - Michael Eischer, Tobias Distler:
Egalitarian Byzantine Fault Tolerance. - Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura:
Predicting Loss Risks for B2B Tendering Processes. - Pinyuan Zhong, Yue Zhang, Xiaoying Tang:
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization. - Michihiro Yasunaga, Jure Leskovec, Percy Liang:
LM-Critic: Language Models for Unsupervised Grammatical Error Correction. - Achkan Salehi, Alexandre Coninx, Stéphane Doncieux:
Few-shot Quality-Diversity Optimisation. - Udit Arora, William Huang, He He:
Types of Out-of-Distribution Texts and How to Detect Them. - Fahd Husain, Rosa Romero Gómez, Emily Kuang, Dario Segura, Adamo Carolli, Lai Chung Liu, Manfred Cheung, Yohann Paris:
A Multi-scale Visual Analytics Approach for Exploring Biomedical Knowledge. - Manav Mishra, Prithvi Poddar, Jingxi Chen, Pratap Tokekar, P. B. Sujit:
GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints. - Marzena Karpinska, Nader Akoury, Mohit Iyyer:
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation. - Philipp Winter, Anna Harbluk Lorimer, Peter Snyder, Benjamin Livshits:
What's in Your Wallet? Privacy and Security Issues in Web 3.0. - Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler:
Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping. - Sayan Ghosh, Shashank Srivastava:
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. - Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert:
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. - Naoya Inoue, Harsh Trivedi, Steven Sinha, Niranjan Balasubramanian, Kentaro Inui:
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension. - Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor:
Timely Status Updating Over Erasure Channels Using an Energy Harvesting Sensor: Single and Multiple Sources. - Daniel Kopp, Eric Strehle, Oliver Hohlfeld:
CyberBunker 2.0 - A Domain and Traffic Perspective on a Bulletproof Hoster. - Jedrzej Kozerawski, Matthew Turk:
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification. - Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. - Daniel Franzen, Michael Wand:
Nonlinearities in Steerable SO(2)-Equivariant CNNs. - Saibo Geng, Rémi Lebret, Karl Aberer:
Legal Transformer Models May Not Always Help. - Mohammad Mahmoudi, Mohammad Javad Sojdeh, Seyed Pooya Shariatpanahi:
On Decentralized Multi-Transmitter Coded Caching. - Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi:
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition. - Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Improving Robustness and Efficiency in Active Learning with Contrastive Loss. - Jacob Simpson, Rudolph Oosthuizen, Sondoss El Sawah, Hussein A. Abbass:
Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control. - Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. - Chao-Chun Hsu, Chenhao Tan:
Decision-Focused Summarization. - Eshin Jolly, Max Farrens, Nathan Greenstein, Hedwig Eisenbarth, Marianne Reddan, Eric Andrews, Tor D. Wager, Luke J. Chang:
Recovering individual emotional states from sparse ratings using collaborative filtering. - Young-Ho Kim, Tommaso Mansi:
Shape-adaptive Hysteresis Compensation for Tendon-driven Continuum Manipulators. - Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer:
Deploying clinical machine learning? Consider the following... - Peter Illig, Robert Thompson, Qimeng Yu:
Application of integral invariants to apictorial jigsaw puzzle assembly. - Ken Mendes:
Research Project 2: Drone-supported AI-based Generation of 3D Maps of Indoor Radio Environments. - Eduardo Ulises Moya-Sánchez, Sebastià Xambó-Descamps, Abraham Sánchez, Sebastián Salazar-Colores, Ulises Cortés:
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification. - Keren Zhou, Laksono Adhianto, Jonathon M. Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John M. Mellor-Crummey:
Measurement and Analysis of GPU-accelerated Applications with HPCToolkit. - Paris Koloveas, Thanasis Chantzios, Christos Tryfonopoulos, Spiros Skiadopoulos:
A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence. - Marc Tanti, Lonneke van der Plas, Claudia Borg, Albert Gatt:
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning. - Han He, Jinho D. Choi:
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders. - Arkadev Chattopadhyay, Rajit Datta, Utsab Ghosal, Partha Mukhopadhyay:
Monotone Complexity of Spanning Tree Polynomial Re-visited. - Tyler King, Michael Soltys:
Minimum Path Star Topology Algorithms for Weighted Regions and Obstacles. - Dian Yu, Kenji Sagae:
Automatically Exposing Problems with Neural Dialog Models. - Katrin Tomanek, Vicky Zayats, Dirk Padfield, Kara Vaillancourt, Fadi Biadsy:
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech. - Jeremy G. Hoskins, Jason Kaye, Manas Rachh, John C. Schotland:
A fast, high-order numerical method for the simulation of single-excitation states in quantum optics. - Claire Mathieu, Hang Zhou:
Probabilistic Analysis of Euclidean Capacitated Vehicle Routing. - Amit Dhurandhar, Tejaswini Pedapati:
Building Accurate Simple Models with Multihop. - Tim Vieira, Ryan Cotterell, Jason Eisner:
Searching for More Efficient Dynamic Programs. - Thomas Thuesen Enevoldsen, Roberto Galeazzi:
Grounding-aware RRT* for Path Planning and Safe Navigation of Marine Crafts in Confined Waters. - D. M. Anisuzzaman, Yash Patel, Behrouz Rostami, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network. - Briana Vecchione, Solon Barocas, Karen Levy:
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. - Brian Plancher, Sabrina M. Neuman, Radhika Ghosal, Scott Kuindersma, Vijay Janapa Reddi:
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients. - Vivian Liu, Lydia B. Chilton:
Design Guidelines for Prompt Engineering Text-to-Image Generative Models. - Vahid Rezaei:
Event-Triggered Distributed Stabilization of Interconnected Multiagent Systems with Abnormal Agent and Control Layers: Theoretical Analysis. - Srikrishna Acharya, Bharadwaj Amrutur, Mukunda Bharatheesha, Yogesh Simmhan:
CORNET 2.0: A Co-Simulation Middleware forRobot Networks. - Loukas Ilias, Dimitris Askounis:
Explainable Identification of Dementia from Transcripts using Transformer Networks. - Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg:
Generalized Multivariable Grid-Forming Control Design for Power Converters. - Alicia Parrish, Sebastian Schuster, Alex Warstadt, Omar Agha, Soo-Hwan Lee, Zhuoye Zhao, Samuel R. Bowman, Tal Linzen:
NOPE: A Corpus of Naturally-Occurring Presuppositions in English. - Reshma Narayanan Kutty, Claudia Orellana-Rodriguez, Igor Brigadir, Ernesto Diaz-Aviles:
Personalization, Privacy, and Me. - Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
ML-aided power allocation for Tactical MIMO. - Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan:
L1 Adaptive Augmentation for Geometric Tracking Control of Quadrotors. - Chhavi Yadav, Kamalika Chaudhuri:
Behavior of k-NN as an Instance-Based Explanation Method. - Zi Cong Guo, Vassili Korotkine, James Richard Forbes, Timothy D. Barfoot:
Koopman Linearization for Data-Driven Batch State Estimation of Control-Affine Systems. - Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy:
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. - Gabor Szolnok, Botond Barta, Dorina Lakatos, Judit Ács:
A Three Step Training Approach with Data Augmentation for Morphological Inflection. - Costas Mavromatis, George Karypis:
HeMI: Multi-view Embedding in Heterogeneous Graphs. - Siddhant Garg, Alessandro Moschitti:
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering. - Emma Lurie, Deirdre K. Mulligan:
Searching for Representation: A sociotechnical audit of googling for members of U.S. Congress. - Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. - Saketh Kotamraju, Eduardo Blanco:
Written Justifications are Key to Aggregate Crowdsourced Forecasts. - Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. - Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? - Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi:
Embedding Node Structural Role Identity Using Stress Majorization. - Zhefan Xu, Di Deng, Yiping Dong, Kenji Shimada:
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles. - Jacob Johnson, Randal W. Beard:
Globally-Attractive Logarithmic Geometric Control of a Quadrotor for Aggressive Trajectory Tracking. - Muhammad Haroon, Muhammad Fareed Zaffar, Padmini Srinivasan, Zubair Shafiq:
Avengers Ensemble! Improving Transferability of Authorship Obfuscation. - Lu Zhang:
An energy-based discontinuous Galerkin method for dynamic Euler-Bernoulli beam equations. - Lu Zhang:
A discontinuous Galerkin method for nonlinear biharmonic Schrödinger equations. - Haihan Lin, Derya Akbaba, Miriah Meyer, Alexander Lex:
Data Hunches: Incorporating Personal Knowledge into Visualizations. - Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. - Chen Chen, Yong Niu, Shiwen Mao, Xiaodan Zhang, Zhu Han, Bo Ai, Meilin Gao, Huahua Xiao, Ning Wang:
Coalition Game based User Association for mmWave Mobile Relay Systems in Rail Traffic Scenarios. - Juraj Juraska, Marilyn A. Walker:
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG. - Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah:
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion. - Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, Guang R. Gao:
The Promise of Dataflow Architectures in the Design of Processing Systems for Autonomous Machines. - Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
ARCH: Efficient Adversarial Regularized Training with Caching. - Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha:
Self-Training with Differentiable Teacher. - Shiping Cai, Zhi Hu, Zheng-an Yao, Chang-An Zhao:
The Elliptic Net Algorithm Revisited. - Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia:
Image Synthesis via Semantic Composition. - Ishaan Shah, David Halpern, Kavosh Asadi, Michael L. Littman:
Convergence of a Human-in-the-Loop Policy-Gradient Algorithm With Eligibility Trace Under Reward, Policy, and Advantage Feedback. - Lin Shi, Ziyou Jiang, Ye Yang, Xiao Chen, Yumin Zhang, Fangwen Mu, Hanzhi Jiang, Qing Wang:
ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats. - Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids. - Xiangjun Ma, Xianfu Lei, P. Takis Mathiopoulos, Kai Yu, Xiaohu Tang:
Scalable Cell-Free Massive MIMO Systems with Finite Resolution ADCs/DACs over Spatially Correlated Rician Fading Channels. - Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee:
Improving Text Auto-Completion with Next Phrase Prediction. - Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Globally Consistent 3D LiDAR Mapping with GPU-accelerated GICP Matching Cost Factors. - Adnan Iftekhar, Xiaohui Cui:
Anti-Tamper Protection for Internet of Things System Using Hyperledger Fabric Blockchain Technology. - Alp Aydinoglu, Michael Posa:
Real-Time Multi-Contact Model Predictive Control via ADMM. - Akhil Kurup, Jeremy Bos:
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather. - Hsin-Ai Hung, Hao-Huan Hsu, Teng-Hu Cheng:
Image-Based Multi-UAV Tracking System in a Cluttered Environment. - Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. - Chongjian Yuan, Wei Xu, Xiyuan Liu, Xiaoping Hong, Fu Zhang:
Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online 3D SLAM. - Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang:
Fast Extraction of Word Embedding from Q-contexts. - Tatsuya Sakuma, Takuya Kiyokawa, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara:
Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts. - Zhe Lin, Yitao Cai, Xiaojun Wan:
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering. - Dong Zhao, Jia Li, Hongyu Li, Long Xu:
Hybrid Local-Global Transformer for Image Dehazing. - Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-aware Robust Control for Safe Autonomous Driving. - Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein:
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? - Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu:
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. - Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Towar:
Local NMPC on Global Optimised Path for Autonomous Racing. - Atsushi Yanagisawa, Chinthaka Premachandra, Hiroharu Kawanaka, Atsushi Inoue, Takeo Hata, Eiichiro Ueda:
WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction. - Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun:
Anchor DETR: Query Design for Transformer-Based Detector. - Jialin Ji, Neng Pan, Chao Xu, Fei Gao:
Elastic Tracker: A Spatio-temporal Trajectory Planner Flexible Aerial Tracking. - (Withdrawn) Learning Friction Model for Magnet-actuated Tethered Capsule Robot.
- Zhengqi Zhang, Zhi Zhou:
Backward diffusion-wave problem: stability, regularization and approximation. - Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger:
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Streaming Data. - Jiangxu Wu:
Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger. - Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang:
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments. - Amr Alanwar, Frank J. Jiang, Maryam Sharifi, Dimos V. Dimarogonas, Karl Henrik Johansson:
Enhancing Data-Driven Reachability Analysis using Temporal Logic Side Information. - Kuize Zhang, Jörg Raisch:
Diagnosability of labeled max-plus automata. - Ga Young Lee, Lubna Alzamil, Bakhtiyar Doskenov, Arash Termehchy:
A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance. - Sascha Kurz:
The interplay of different metrics for the construction of constant dimension codes. - Christian Geishauser, Songbo Hu, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic:
What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation. - Yunxi Tang, Xiangyu Chu, K. W. Samuel Au:
HM-DDP: A Hybrid Multiple-shooting Differential Dynamic Programming Method for Constrained Trajectory Optimization. - Andrew Cropper, Oghenejokpeme I. Orhobor, Cristian Dinu, Rolf Morel:
Parallel Constraint-Driven Inductive Logic Programming. - Oscar Gustavsson, Matteo Iovino, Jonathan Styrud, Christian Smith:
Combining Context Awareness and Planning to Learn Behavior Trees from Demonstration. - Jiacheng Yuan, Jungseok Hong, Junaed Sattar, Volkan Isler:
ROW-SLAM: Under-Canopy Cornfield Semantic SLAM. - Gaëlle Candel, David Naccache:
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection. - Vivek Deulkar, Jayakrishnan Nair:
Optimal Cycling of a Heterogenous Battery Bank via Reinforcement Learning. - Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen:
Patch-based medical image segmentation using Quantum Tensor Networks. - Shaily Bhatt, Poonam Goyal, Sandipan Dandapat, Monojit Choudhury, Sunayana Sitaram:
On the Universality of Deep COntextual Language Models. - Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng:
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. - Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. - Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein:
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs. - Artjoms Sela, Petr Plechác, Alie Lassche:
Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse. - Shuyun Tang, Zhaojie Luo, Guoshun Nan, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition. - Maximilian Stölzle, Takahiro Miki, Levin Gerdes, Martin Azkarate, Marco Hutter:
Solving Occlusion in Terrain Mapping with Neural Networks. - Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. - Mujeen Sung, Jinhyuk Lee, Sean S. Yi, Minji Jeon, Sungdong Kim, Jaewoo Kang:
Can Language Models be Biomedical Knowledge Bases? - Dor Lavi:
Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT. - Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. - Xiaohong Huang, Zhifang Deng, Dandan Li, Xueguang Yuan:
MISSFormer: An Effective Medical Image Segmentation Transformer. - Kenneth Blomqvist, Julius Hietala:
3D Annotation Of Arbitrary Objects In The Wild. - Giangiacomo Mercatali, André Freitas:
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior. - Alessio Russo, Alexandre Proutière:
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. - Siqi Han, Dongxia Wang, Wanting Li, Xuesong Lu:
A Comparison of Code Embeddings and Beyond. - Guang Liu, Yuzhao Mao, Hailong Huang, Weiguo Gao, Xuan Li:
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup. - Sierk Kanis, Laurens Samson, Daan Bloembergen, Tim Bakker:
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control. - Igor Tominec, Murtazo Nazarov:
Residual viscosity stabilized RBF-FD methods for solving nonlinear conservation laws. - Urvashi Khanna, Diego Mollá:
Transformer-based Language Models for Factoid Question Answering at BioASQ9b. - Pranab Basu:
On Characterization of Finite Geometric Distributive Lattices. - Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen:
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. - Yoshinobu Hagiwara, Kazuma Furukawa, Akira Taniguchi, Tadahiro Taniguchi:
Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference. - Hector Geffner:
Target Languages (vs. Inductive Biases) for Learning to Act and Plan. - Jiajun Wang, Gang Han, Xiaozhu Ju, Mingguo Zhao:
Whole-Body Control with Motion/Force Transmissibility for Parallel-Legged Robot. - Robin Jeanne Kirschner, Henning Mayer, Lisa Burr, Nico Mansfeld, Saeed Abdolshah, Sami Haddadin:
Expectable Motion Unit: Avoiding Hazards From Human Involuntary Motions in Human-Robot Interaction. - Feng Wang, Hang Zhou, Han Fang, Xiaojuan Dong, Weiming Zhang, Xi Yang, Nenghai Yu:
Deep 3D Mesh Watermarking with Self-Adaptive Robustness. - Azza Abugharsa:
Sentiment Analysis in Poems in Misurata Sub-dialect - A Sentiment Detection in an Arabic Sub-dialect. - Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn:
Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware. - Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou:
A Relation-Oriented Clustering Method for Open Relation Extraction. - Rasmus Liborius Bruun, C. Santiago Morejón García, Troels B. Sørensen, Nuno K. Pratas, Tatiana Kozlova Madsen, Preben E. Mogensen:
Signaling Design for Cooperative Resource Allocation and its Impact to Reliability. - Sunny Katyara, Nikhil Deshpande, Fanny Ficuciello, Fei Chen, Bruno Siciliano, Darwin G. Caldwell:
Fusing Visuo-Tactile Perception into Kernelized Synergies for Robust Grasping and Fine Manipulation of Non-rigid Objects. - Cheng Gong, Jianwei Gong, Chao Lu, Zhe Liu, Zirui Li:
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle. - Cristian Grozea, Ronny Hans, Matthias Koch, Christina Riehn, Armin Wolf:
Optimising Rolling Stock Planning including Maintenance with Constraint Programming and Quantum Annealing. - Binghong Wu, Yehui Yang, Dalu Yang, Junde Wu, Haifeng Huang, Lei Wang, Junwei Liu, Yanwu Xu:
Progressive Hard-case Mining across Pyramid Levels in Object Detection. - Anuj Dawar, Erich Grädel, Moritz Lichter:
Limitations of the Invertible-Map Equivalences. - Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. - Jaidev Shriram, Sreeharsha Paruchuri, Vinoo Alluri:
How Much do Lyrics Matter? Analysing Lyrical Simplicity Preferences for Individuals At Risk of Depression. - Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Dialog speech sentiment classification for imbalanced datasets. - Maria Ryskina, Kevin Knight:
Learning Mathematical Properties of Integers. - Federico Bianchi, Marco Marelli, Paolo Nicoli, Matteo Palmonari:
SWEAT: Scoring Polarization of Topics across Different Corpora. - Benjamin Clavié, Marc Alphonsus:
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification. - Gang Han, Jiajun Wang, Xiaozhu Ju, Mingguo Zhao:
Recursive Hierarchical Projection for Whole-Body Control with Task Priority Transition. - Haya Elayan, Moayad Aloqaily, Mohsen Guizani:
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior. - Michal Stefánik, Vít Novotný, Petr Sojka:
Regressive Ensemble for Machine Translation Quality Evaluation. - Zimin Wan, Chenchen Xu, Hanna Suominen:
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings. - Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade:
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. - Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. - Miguel Fernandes, Antonello Scaldaferri, Paolo Guadagna, Giuseppe Fiameni, Tao Teng, Matteo Gatti, Stefano Poni, Claudio Semini, Darwin G. Caldwell, Fei Chen:
Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation. - Anastasia Moutafidou, Vasileios Toulatzis, Ioannis Fudos:
Temporal Parameter-free Deep Skinning of Animated Meshes. - Yassine Rdiouat, Naima Nakabi, Khadija Kahtani, Alami Semma:
Towards a new approach of continuous process improvement based on CMMI and PMBOK. - Julian von Schleinitz, Lukas Wörle, Michael Graf, Andreas Schröder:
Modeling Ice Friction for Vehicle Dynamics of a Bobsled with Application in Driver Evaluation and Driving Simulation. - Dariush Salami, Ramin Hasibi, Stefano Savazzi, Tom Michoel, Stephan Sigg:
Integrating Sensing and Communication in Cellular Networks via NR Sidelink. - Alexandru Baltag, Sonja Smets:
Learning What Others Know. - Wei Zhu, Andrew D. White, Jiebo Luo:
Federated Learning of Molecular Properties in a Heterogeneous Setting. - Yaser Mansouri, Victor Prokhorenko, Faheem Ullah, Muhammad Ali Babar:
Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing: Energy, Bandwidth, and Storage Consumption. - Jan Brüdigam, Jana Janeva, Stefan Sosnowski, Sandra Hirche:
Linear-Time Contact and Friction Dynamics in Maximal Coordinates using Variational Integrators. - Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam:
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. - Daan de Jong:
Scope resolution of predicted negation cues: A two-step neural network-based approach. - Aboli Marathe, Saloni Parekh, Harsh Sakhrani:
Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach. - David Cerezo Sánchez:
JUBILEE: Secure Debt Relief and Forgiveness. - Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. - Zhengyao Wen, Wenzhong Lin, Tao Wang, Ge Xu:
Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition. - Lander Segurola-Gil, Francesco Zola, Xabier Echeberria-Barrio, Raul Orduna Urrutia:
NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices. - Ruizhen Liu, Dazhi Zhong, Zhicong Chen:
DROMO: Distributionally Robust Offline Model-based Policy Optimization. - Dusan Varis, Ondrej Bojar:
Sequence Length is a Domain: Length-based Overfitting in Transformer Models. - Yassine Rdiouat, Samir Bahsani, Mouhsine Lakhdissi, Alami Semma:
Measuring and improving information systems agility through the balanced scorecard approach. - Birgit Penzenstadler, Richard Torkar, Cristina Martinez Montes:
Take a deep breath. Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments. - Simone Mentasti, Matteo Matteucci, Stefano Arrigoni, Federico Cheli:
Two algorithms for vehicular obstacle detection in sparse pointcloud. - Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li:
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context. - (Withdrawn) New Perspective on Progressive GANs Distillation for One-class Novelty Detection.
- Jisun An, Haewoon Kwak, Claire Seungeun Lee, Bogang Jun, Yong-Yeol Ahn:
Predicting Anti-Asian Hateful Users on Twitter during COVID-19. - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier:
FFAVOD: Feature Fusion Architecture for Video Object Detection. - Michele Cafagna, Kees van Deemter, Albert Gatt:
What Vision-Language Models 'See' when they See Scenes. - Markus Anders, Jendrik Brachter, Pascal Schweitzer:
A Characterization of Individualization-Refinement Trees. - Jordan Holweger, Christophe Ballif, Nicolas Wyrsch:
Distributed flexibility as a cost-effective alternative to grid reinforcement. - Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei:
Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training. - Christian Pfeiffer, Davide Scaramuzza:
Expertise Affects Drone Racing Performance. - Saber Kazeminasab, Moein Razavi, Sajad Dehghani, Morteza Khosrotabar, M. Katherine Banks:
A Self-rescue Mechanism for an In-pipe Robot for Large Obstacle Negotiation in Water Distribution Systems. - Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. - Shengwei Zhou, Xiaowei Wu:
Approximately EFX Allocations for Indivisible Chores. - Vishal Sharma, Zengpeng Li, Pawel Szalachowski, Teik Guan Tan, Jianying Zhou:
Reinshard: An optimally sharded dual-blockchain for concurrency resolution. - Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Rohit Babbar:
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels. - Alex Bespalov, David J. Silvester, Feng Xu:
Error estimation and adaptivity for stochastic collocation finite elements Part I: single-level approximation. - Roee Shraga, Avigdor Gal:
PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching. - Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang:
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. - Tianfang Zhu, Yue Guan, Anan Li:
PointManifoldCut: Point-wise Augmentation in the Manifold for Point Clouds. - Munshi Saifuzzaman, Tajkia Nuri Ananna, Mohammad Jabed Morshed Chowdhury, Md. Sadek Ferdous, Farida Chowdhury:
A Systematic Literature Review on Wearable Health Data Publishing under Differential Privacy. - Beate Scheibel, Stefanie Rinderle-Ma:
Comparing decision mining approaches with regard to the meaningfulness of their results. - Mathieu Gonzalez, Éric Marchand, Amine Kacete, Jérôme Royan:
S3LAM: Structured Scene SLAM. - Haowen Wang, Zirui Li, Jianwei Gong:
Sequential Point Cloud Prediction in Interactive Scenarios: A Survey. - Haukur Barri Símonarson, Vésteinn Snæbjarnarson, Petur Orri Ragnarsson, Haukur Páll Jónsson, Vilhjálmur Þorsteinsson:
Miðeind's WMT 2021 submission. - Maximilian Wich, Adrian Gorniak, Tobias Eder, Daniel Bartmann, Burak Enes Çakici, Georg Groh:
Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community. - Evangelia Gogoulou, Ariel Ekgren, Tim Isbister, Magnus Sahlgren:
Cross-lingual Transfer of Monolingual Models. - Philip Williams, Barry Haddow:
The ELITR ECA Corpus. - Junhao Zhang, Yali Wang, Zhipeng Zhou, Tianyu Luan, Zhe Wang, Yu Qiao:
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos. - Max Zhu, Pietro Lió, Jacob Moss:
Modular Neural Ordinary Differential Equations. - Patrick Kahardipraja, Brielen Madureira, David Schlangen:
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU. - Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. - Qianqian Dong, Yaoming Zhu, Mingxuan Wang, Lei Li:
UniST: Unified End-to-end Model for Streaming and Non-streaming Speech Translation. - Jose Lamarca, Juan J. Gómez Rodríguez, Juan D. Tardós, José M. M. Montiel:
Direct and Sparse Deformable Tracking. - Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. - Muyi Sun, Jian Wang, Yunfan Liu, Qi Li, Zhenan Sun:
A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks. - Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, Karthik Sankaranarayanan:
Topic Transferable Table Question Answering. - Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny:
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. - Milan Curcic, Ondrej Certík, Brad Richardson, Sebastian Ehlert, Laurence Kedward, Arjen Markus, Ivan Pribec, Jérémie Vandenplas:
Toward Modern Fortran Tooling and a Thriving Developer Community. - Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li:
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. - Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, Changxi Zheng:
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel. - Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi:
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. - Sven Hertling, Jan Portisch, Heiko Paulheim:
Matching with Transformers in MELT. - Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang:
Multi View Spatial-Temporal Model for Travel Time Estimation. - Jens Hauser, Zhao Meng, Damián Pascual, Roger Wattenhofer:
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification. - Xinrong Hu, Dewen Zeng, Xiaowei Xu, Yiyu Shi:
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation. - Dibyendu Mishra, Ronojoy Sen, Joyojeet Pal:
Sporting the government: Twitter as a window into sportspersons' engagement with causes in India and USA. - Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. - Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang:
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. - Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna:
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. - Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. - Young-Ho Kim, Ankur Kapoor, Tommaso Mansi, Ali Kamen:
A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects. - Sophie Rain, Zeta Avarikioti, Laura Kovács, Matteo Maffei:
Towards a Game-Theoretic Security Analysis of Off-Chain Protocols. - Ruben Villegas, Duygu Ceylan, Aaron Hertzmann, Jimei Yang, Jun Saito:
Contact-Aware Retargeting of Skinned Motion. - Alphan Sahin:
Encoding and Decoding with Partitioned Complementary Sequences for Low-PAPR OFDM. - Mehdi Rezaee, Kasra Darvish, Gaoussou Youssouf Kebe, Francis Ferraro:
Discriminative and Generative Transformer-based Models For Situation Entity Classification. - Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati:
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. - Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. - Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. - Marco Gaido, Susana Rodríguez, Matteo Negri, Luisa Bentivogli, Marco Turchi:
Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation. - Sarah Azouvi, Daniele Cappelletti:
Private Attacks in Longest Chain Proof-of-stake Protocols with Single Secret Leader Elections. - Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang:
DPGen: Automated Program Synthesis for Differential Privacy. - Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang:
Challenges in Detoxifying Language Models. - Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs:
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering. - Jessica Lin, Amir Zeldes:
WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres. - Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. - Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi:
Deep Bregman Divergence for Contrastive Learning of Visual Representations. - Gregory Yauney, David Mimno:
Comparing Text Representations: A Theory-Driven Approach. - Christopher Daniel Jr., Ahmed Arafa:
Timely Updating with Intermittent Energy and Data for Multiple Sources over Erasure Channels. - Vin Sachidananda, Jason S. Kessler, Yi'an Lai:
Efficient Domain Adaptation of Language Models via Adaptive Tokenization. - Nitin Agrawal, James Bell, Adrià Gascón, Matt J. Kusner:
MPC-Friendly Commitments for Publicly Verifiable Covert Security. - Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. - Jannis Vamvas, Rico Sennrich:
On the Limits of Minimal Pairs in Contrastive Evaluation. - Sutanu Bhowmick, Satish Nagarajaiah:
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE). - Chaitanya Krishna Prasad Vallabh, Xiayun Zhao:
Single-camera Two-Wavelength Imaging Pyrometry for Melt Pool Temperature Measurement and Monitoring in Laser Powder Bed Fusion based Additive Manufacturing. - Yang Guang:
Generalized XGBoost Method. - Adrian Benton, Hanyang Li, Igor Malioutov:
Cross-Register Projection for Headline Part of Speech Tagging. - Sameer Bansal, Adrian Benton:
Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph. - Michael Kranzlein, Nelson F. Liu, Nathan Schneider:
Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets. - Chen Fan, Parikshit Ram, Sijia Liu:
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD. - Nanqing Dong, Irina Voiculescu:
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. - Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
Dialogue State Tracking with a Language Model using Schema-Driven Prompting. - Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo:
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis. - Rami Botros, Tara N. Sainath, Robert David, Emmanuel Guzman, Wei Li, Yanzhang He:
Tied & Reduced RNN-T Decoder. - Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. - Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. - Sayan Bandyapadhyay, Anil Maheshwari, Michiel Smid:
Exact and Approximation Algorithms for Many-To-Many Point Matching in the Plane. - Ángel Martínez-González, Michael Villamizar, Jean-Marc Odobez:
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers. - Andreas Brandstädt:
Finding Efficient Domination for (P9, S1, 1, 6, S1, 2, 5-Free Chordal Bipartite Graphs in Polynomial Time. - Kiko Fernandez-Reyes, Isaac Oscar Gariano, James Noble, Erin Greenwood-Thessman, Michael Homer, Tobias Wrigstad:
Dala: A Simple Capability-Based Dynamic Language Design For Data Race-Freedom. - Katherine A. Keith, Douglas Rice, Brendan O'Connor:
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects. - Joanne Taery Kim, Jeongeun Park, Sungjoon Choi, Sehoon Ha:
Learning Robot Structure and Motion Embeddings using Graph Neural Networks. - Chak Shing Lee, François P. Hamon, Nicola Castelletto, Panayot S. Vassilevski, Joshua A. White:
An Aggregation-based Nonlinear Multigrid Solver for Two-phase Flow and Transport in Porous Media. - Lahav Lipson, Zachary Teed, Jia Deng:
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. - Aziz Koçanaogullari, Cemre Ariyurek, Onur Afacan, Sila Kurugol:
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys. - Ang Li, Judea Pearl:
Unit Selection with Causal Diagram. - Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav:
CounterNet: End-to-End Training of Counterfactual Aware Predictions. - Kamil Dreczkowski, Edward Johns:
Hybrid ICP. - Xiaohui Chen, Ramtin Hosseini, Karen Panetta, Jivko Sinapov:
A Framework for Multisensory Foresight for Embodied Agents. - Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu:
Non-smooth Bayesian Optimization in Tuning Problems. - Arpita Vats:
Estimation of Warfarin Dosage with Reinforcement Learning. - Omid Shokrollahi, Bahman Rohani, Amin Nobakhti:
Predicting the outcome of team movements - Player time series analysis using fuzzy and deep methods for representation learning. - Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs. - Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan:
Differentiable Physics: A Position Piece. - Victor S. Bursztyn, Jennifer Healey, Nedim Lipka, Eunyee Koh, Doug Downey, Larry Birnbaum:
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. - Sagi Eppel, Haoping Xu, Yi Ru Wang, Alán Aspuru-Guzik:
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset. - Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. - Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang:
How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search. - Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Network representation learning systematic review: ancestors and current development state. - Boris Aronov, Mark de Berg, Jean Cardinal, Esther Ezra, John Iacono, Micha Sharir:
Subquadratic Algorithms for Some 3Sum-Hard Geometric Problems in the Algebraic Decision Tree Model. - Laila Sprejer, Helen Z. Margetts, Kleber Oliveira, David O'Sullivan, Bertie Vidgen:
An influencer-based approach to understanding radical right viral tweets. - Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang:
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. - Meiyi Li, Wentao Huang, Nengling Tai, Dongliang Duan:
Virtual Inertia Control of the Virtual Synchronous Generator: A Review. - Dan Iter, David Grangier:
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation. - Camille Dupont, Yanis Ouakrim, Quoc Cuong Pham:
UCP-Net: Unstructured Contour Points for Instance Segmentation. - Mustafa Sakhai, Maciej Wielgosz:
Modern Cybersecurity Solution using Supervised Machine Learning. - Md Atiqul Islam, George C. Alexandropoulos, Besma Smida:
Direction-Assisted Beam Management in Full Duplex Millimeter Wave Massive MIMO Systems. - Weison Lin, Tughrul Arslan:
A Column Streaming-Based Convolution Engine and Mapping Algorithm for CNN-based Edge AI accelerators. - Asif Rahman, Yale Chang, Jonathan Rubin:
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. - Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith, Cristina España-Bonet:
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. - Mohamed A. Abd-Elmagid, Harpreet S. Dhillon:
Age of Information in Multi-source Updating Systems Powered by Energy Harvesting. - Lucas Magee, Yusu Wang:
Graph skeletonization of high-dimensional point cloud data via topological method. - Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed:
Partner-Assisted Learning for Few-Shot Image Classification. - Sanem Elbasi, Alican Büyükçakir, Hamed R. Bonab, Fazli Can:
On-the-Fly Ensemble Pruning in Evolving Data Streams. - Mithun Mukherjee, Vikas Kumar, Suman Kumar, Jaime Lloret, Qi Zhang, Mian Guo:
Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. - Pranav Aggarwal, Ritiz Tambi, Ajinkya Kale:
Towards Zero-shot Cross-lingual Image Retrieval and Tagging. - Yunyao Zhu, Stephen Hahn, Simon Mak, Yue Jiang, Cynthia Rudin:
BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales. - Juan Andres Carruthers, Jorge Andrés Díaz Pace, Emanuel Agustin Irrazabal:
A Systematic Mapping Study of Empirical Studies performed with Collections of Software Projects. - Shan Wang, Ming Yang, Tingjian Ge, Yan Luo, Xinwen Fu:
BOSS: A Blockchain Off-State Sharing System. - Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao:
Adversarially Regularized Policy Learning Guided by Trajectory Optimization. - Seok-Ju Hahn, Minwoo Jeong, Junghye Lee:
Subspace Learning for Personalized Federated Optimization. - Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh:
Efficient Estimation and Control of Unknown Stochastic Differential Equations. - Bineet Ghosh, Parasara Sridhar Duggirala:
Robustness of Safety for Linear Dynamical Systems: Symbolic and Numerical Approaches. - (Withdrawn) Summarizing and Analyzing the Privacy-Preserving Techniques in Bitcoin and other Cryptocurrencies.
- Bineet Ghosh, Parasara Sridhar Duggirala:
Reachability of Linear Uncertain Systems: Sampling Based Approaches. - Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Liu, Jiaqi Ma:
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication. - Rajarshi Bhattacharjee, Cameron Musco, Archan Ray:
Sublinear Time Eigenvalue Approximation via Random Sampling. - Rohan Chandra, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu, Alok Jain, Dinesh Manocha:
METEOR: A Massive Dense & Heterogeneous Behavior Dataset for Autonomous Driving. - Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, Snehalata V. Huzurbazar:
Machine-Learned HASDM Model with Uncertainty Quantification. - Yangxin Fan, Hanjia Lyu, Jin Xiao, Jiebo Luo:
Social Disparities in Oral Health in America amid the COVID-19 Pandemic. - Jingchao Peng, Haitao Zhao, Zhengwei Hu:
Dynamic Fusion Network for RGBT Tracking. - Liuyang Ren, Paul A. S. Ward:
Evaluating OptChain with Bitcoin Transactions. - Munira Al-Ageili, Malek Mouhoub:
An Ontology-Based Information Extraction System for Residential Land Use Suitability Analysis. - Dennis R. Anthony, David Fridovich-Keil, Jaime F. Fisac:
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. - Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He:
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset. - Milad Vazan, Jafar Razmara:
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews. - Lun Quan, Longji Yin, Chao Xu, Fei Gao:
Distributed Swarm Trajectory Optimization for Formation Flight in Dense Environments. - Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka:
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis. - Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Rosanne Liu, Jason Yosinski, Pascale Fung:
Language Models are Few-shot Multilingual Learners. - Tomás P. Barrios, José Manuel Cascón, Andreas Wachtel:
The Crouzeix-Raviart Element for non-conforming dual mixed methods: A Priori Analysis. - Benjamin Adams, Richard Hosking:
Quoka Atlas of Scholarly Knowledge Production: An Interactive Sensemaking Tool for Exploring the Outputs of Research Institutions. - Xinxing Yang, Genke Yang:
The Neural Metric Factorization for Computational Drug Repositioning. - Sasha Stoikov, Hongyi Wen:
Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders. - Stefan Klikovits, Paolo Arcaini:
Handling Noise in Search-Based Scenario Generation for Autonomous Driving Systems. - Minsoo Kim, Hyubjin Lee, Yon Dohn Chung:
SEACOW: Synopsis Embedded Array Compression using Wavelet Transform. - Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving. - Guanxiong Chen, Haoyu Yang, Ian M. Mitchell:
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI. - Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lv, Yanghe Feng, Guihai Chen:
Federated Submodel Averaging. - Xiaozhu Ju, Jiajun Wang, Gang Han, Mingguo Zhao:
Mixed Control for Whole-Body Compliance of a Humanoid Robot. - Ahmed Roushdy Elkordy, Saurav Prakash, Amir Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. - Mark Buckler, Neil Adit, Yuwei Hu, Zhiru Zhang, Adrian Sampson:
Dense Pruning of Pointwise Convolutions in the Frequency Domain. - Seung Geol Choi, Dana Dachman-Soled, S. Dov Gordon, Linsheng Liu, Arkady Yerukhimovich:
Compressed Oblivious Encoding for Homomorphically Encrypted Search. - Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das:
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs. - Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Transferable Persona-Grounded Dialogues via Grounded Minimal Edits. - Sukai Wang, Jianhao Jiao, Peide Cai, Ming Liu:
R-PCC: A Baseline for Range Image-based Point Cloud Compression. - Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Blockchain for Trust and Reputation Management in Cyber-physical Systems. - Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren:
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. - Shanto Roy, Salah Uddin Kadir, Yevgeniy Vorobeychik, Aron Laszka:
Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. - Ayush Pancholy, Miriam R. L. Petruck, Swabha Swayamdipta:
Sister Help: Data Augmentation for Frame-Semantic Role Labeling. - Yunxiang Zhang, Xiaojun Wan:
MOVER: Mask, Over-generate and Rank for Hyperbole Generation. - Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Machine learning with quantum field theories. - Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. - Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme:
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. - Prashant Trivedi, Nandyala Hemachandra:
Learning Noisy Hedonic Games. - Seymanur Akti, Dogay Kamar, Özgür Anil Özlü, Ihsan Soydemir, Muhammet Akcan, Abdullah Kul, Islem Rekik:
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint. - Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry:
Scaling Laws for Neural Machine Translation. - Hongkai Ye, Chao Xu, Fei Gao:
STD-Trees: Spatio-temporal Deformable Trees for Multirotors Kinodynamic Planning. - Muhammad Jehangir Amjad, Christophe Diot, Dimitris Konomis, Branislav Kveton, Augustin Soule, Xiaolong Yang:
Optimal Probing with Statistical Guarantees for Network Monitoring at Scale. - Yizhou Shan, Will Lin, Ryan Kosta, Arvind Krishnamurthy, Yiying Zhang:
Disaggregating and Consolidating Network Functionalities with SuperNIC. - Xilei Zhao, Yiming Xu, Ruggiero Lovreglio, Erica Kuligowski, Daniel Nilsson, Thomas Cova, Alex Wu, Xiang Yan:
Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data. - Soumianarayanan Vijayaraghavan, Ling Wu, Ludovic Noels, Stéphane P. A. Bordas, Sundar Natarajan, Lars A. A. Beex:
Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs. - Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf:
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. - Mathieu Servillat, François Bonnarel, Catherine Boisson, Mireille Louys, José Enrique Ruiz, Michèle Sanguillon:
Towards a Provenance Management System for Astronomical Observatories. - Bo Ai, Wei Gao, Vinay, David Hsu:
End-to-End Partially Observable Visual Navigation in a Diverse Environment. - Maxime Egéa, Fabien Panloup:
Multilevel-Langevin pathwise average for Gibbs approximation. - Aris L. Moustakas, George C. Alexandropoulos, Mérouane Debbah:
Capacity Optimization using Reconfigurable Intelligent Surfaces: A Large System Approach. - Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. - Xiaoni Li, Yu Zhou, Yifei Zhang, Aoting Zhang, Wei Wang, Ning Jiang, Haiying Wu, Weiping Wang:
Dense Semantic Contrast for Self-Supervised Visual Representation Learning. - Yuxiang Cui, Longzhong Lin, Xiaolong Huang, Dongkun Zhang, Yue Wang, Rong Xiong:
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation. - Yuman Gao, Yingjian Wang, Xingguang Zhong, Tiankai Yang, Mingyang Wang, Zhixiong Xu, Yongchao Wang, Chao Xu, Fei Gao:
Meeting-Merging-Mission: A Multi-robot Coordinate Framework for Large-Scale Communication-Limited Exploration. - Casimiro Pio Carrino, Jordi Armengol-Estapé, Ona De Gibert Bonet, Asier Gutiérrez-Fandiño, Aitor Gonzalez-Agirre, Martin Krallinger, Marta Villegas:
Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models. - Pin-Hsun Lin, Shih-Chun Lin, Peng-Wei Chen, Marcel Mross, Eduard A. Jorswieck:
Gaussian Broadcast Channels in Heterogeneous Blocklength Constrained Networks. - Michael Rademacher, Hendrik Linka, Thorsten Horstmann, Martin Henze:
Path Loss in Urban LoRa Networks: A Large-Scale Measurement Study. - Edward A. Lee, Soroush Bateni, Shaokai Lin, Marten Lohstroh, Christian Menard:
Quantifying and Generalizing the CAP Theorem. - Hossein Safi, Akbar Dargahi, Julian Cheng:
Beam Tracking for UAV-Assisted FSO Links With a Four-Quadrant Detector. - Marcell Missura, Arindam Roychoudhury, Maren Bennewitz:
Fast-Replanning Motion Control with Short-Term Aborting A. - Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou:
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. - Liang Ding, Di Wu, Dacheng Tao:
Improving Neural Machine Translation by Bidirectional Training. - Yi Shen, Chenyun Yu, Yuan Shen, Song Li:
An Open Problem on Sparse Representations in Unions of Bases. - Shuai Shao, Lei Xing, Yan Wang, Rui Xu, Chunyan Zhao, Yanjiang Wang, Bao-Di Liu:
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning. - Prasanth Sengadu Suresh, Prashant Doshi:
Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise. - Malte Ostendorff, Corinna Breitinger, Bela Gipp:
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles. - Pierre Ganty, Davide Bresolin:
Proceedings 12th International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2021, Padua, Italy, 20-22 September 2021. EPTCS 346, 2021 [contents] - Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique, Joonmo Kim, Moongu Jeon:
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning. - Nazar Mohammad, Junaid Baber, Maheen Bakhtyar, Bilal Ahmed Chandio, Anwar Ali Sanjrani:
Compact Binary Fingerprint for Image Copy Re-Ranking. - Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco:
Detection Accuracy for Evaluating Compositional Explanations of Units. - Than Htut Soe:
AI video editing tools. What editors want and how far is AI from delivering? - Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. - Attai Ibrahim Abubakar, Michael S. Mollel, Metin Öztürk, Sajjad Hussain, Muhammad Ali Imran:
A Lightweight Cell Switching and Traffic Offloading Scheme for Energy Optimization in Ultra-Dense Heterogeneous Networks. - Pawel Trajdos, Robert Burduk:
Probability-driven scoring functions in combining linear classifiers. - Andrew Cropper:
Learning logic programs through divide, constrain, and conquer. - Juping Zhang, Minglei You, Gan Zheng, Ioannis Krikidis, Liqiang Zhao:
Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information. - Malik Imran, Felipe Almeida, Jaan Raik, Andrea Basso, Sujoy Sinha Roy, Samuel Pagliarini:
Design Space Exploration of SABER in 65nm ASIC. - Paul Festor, Giulia Luise, Matthieu Komorowski, A. Aldo Faisal:
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition. - Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. - Li Duan, Gerardo Aragon-Camarasa:
Garment Similarity Network (GarNet): A Continuous Perception Robotic Approach for Predicting Shapes and Visually Perceived Weights of Unseen Garments. - Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. - Stefania Ionescu, Yuhao Du, Kenneth Joseph, Anikó Hannák:
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation. - Walter F. Mascarenhas:
Computing the exact sign of sums of products with floating point arithmetic. - Xue Jiang, Jianhui Zhao, Bo Du, Zhiyong Yuan:
Self-supervised Contrastive Learning for EEG-based Sleep Staging. - (Withdrawn) Label Assignment Distillation for Object Detection.
- Mohamed-Bachir Belaid, Nadjib Lazaar:
Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach. - Abdullah Bin Shams, Md. Mohsin Sarker Raihan, Md. Mohi Uddin Khan, Rahat Bin Preo, Ocean Monjur:
Telehealthcare and Covid-19: A Noninvasive & Low Cost Invasive, Scalable and Multimodal Real-Time Smartphone Application for Early Diagnosis of SARS-CoV-2 Infection. - Laura Aina, Tal Linzen:
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation. - Dengsheng Chen:
OpenFed: An Open-Source Security and Privacy Guaranteed Federated Learning Framework. - Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Context-aware Padding for Semantic Segmentation. - Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. - Pawel Trajdos, Marek Kurzynski:
Soft Confusion Matrix Classifier for Stream Classification. - Pawel Trajdos, Marek Kurzynski:
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members. - Amin Timany, Simon Oddershede Gregersen, Léo Stefanesco, Léon Gondelman, Abel Nieto, Lars Birkedal:
Trillium: Unifying Refinement and Higher-Order Distributed Separation Logic. - Maksym Del, Elizaveta Korotkova, Mark Fishel:
Translation Transformers Rediscover Inherent Data Domains. - Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji:
OMPQ: Orthogonal Mixed Precision Quantization. - Qiongkai Xu, Christian Walder, Chenchen Xu:
Humanly Certifying Superhuman Classifiers. - Dulaji Hidellaarachchi, John C. Grundy, Rashina Hoda, Ingo Mueller:
The Influence of Human Aspects on Requirements Engineering: Software Practitioners Perspective. - Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert:
Explainability Requires Interactivity. - Asad Munir, Chengjin Lyu, Bart Goossens, Wilfried Philips, Christian Micheloni:
Resolution based Feature Distillation for Cross Resolution Person Re-Identification. - Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, Fuchun Sun:
Knowledge-based Embodied Question Answering. - Chufeng Xiao, Deng Yu, Xiaoguang Han, Youyi Zheng, Hongbo Fu:
SketchHairSalon: Deep Sketch-based Hair Image Synthesis. - Jiatong Li, Kui Meng:
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition. - Shiyu Fan, Runhai Xu, Zhaohang Yan:
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer. - Kaan Gökcesu, Hakan Gökcesu:
A Quadratic Time Locally Optimal Algorithm for NP-hard Equal Cardinality Partition Optimization. - Xiuhong Wei, Linglong Dai:
Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field? - Erik Burman, Ali Feizmohammadi, Arnaud Münch, Lauri Oksanen:
Spacetime finite element methods for control problems subject to the wave equation. - Venkatesan T. Chakaravarthy, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Shashanka Ubaru:
Efficient Scaling of Dynamic Graph Neural Networks. - Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian:
Heterogeneous Relational Complement for Vehicle Re-identification. - Gemma Gordon, Amelia Holcomb, Tom Kelly, Srinivasan Keshav, Jon Ludlum, Anil Madhavapeddy:
How Computer Science Can Aid Forest Restoration. - John G. Sotos:
On the Unimportance of Superintelligence. - Karthik Vaidhyanathan, Antonio Bruno, Eleonora Mendola, Filippo Mignosi, Mahyar Tourchi Moghaddam, Henry Muccini, Monica Nesi:
A Service for Supporting Digital and Immersive Cultural Experiences. - Abhishek Singh, Alok Mathur, Alka Asthana, Juliet Maina, Jade Nester, Sai Sri Sathya, Santanu Bhattacharya, Vidya Phalke:
Mobility Data Analysis and Applications: A mid-year 2021 Survey. - Simon Cousaert, Nikhil Vadgama, Jiahua Xu:
Token-based Insurance Solutions on Blockchain. - Mélina Verger, Hugo Jair Escalante:
Predicting students' performance in online courses using multiple data sources. - Himali Aryal:
A literature survey on student feedback assessment tools and their usage in sentiment analysis. - Stephen G. Odaibo:
Risk Management of AI/ML Software as a Medical Device (SaMD): On ISO 14971 and Related Standards and Guidances. - Arif Ali Khan, Sher Badshah, Peng Liang, Bilal Khan, Muhammad Waseem, Mahmood Niazi, Muhammad Azeem Akbar:
Ethics of AI: A Systematic Literature Review of Principles and Challenges. - Isabelle Hupont, Songül Tolan, Ana Freire, Lorenzo Porcaro, Sara Estevez, Emilia Gómez:
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. - Hadis Anahideh, Nazanin Nezami, Denisa Gandara:
Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education. - Giancarlo Ruffo, Alfonso Semeraro, Anastasia Giachanou, Paolo Rosso:
Surveying the Research on Fake News in Social Media: a Tale of Networks and Language. - Olle Häggström:
AI, orthogonality and the Müller-Cannon instrumental vs general intelligence distinction. - Andrea Formisano, Yanhong Annie Liu, Bart Bogaerts, Alex Brik, Verónica Dahl, Carmine Dodaro, Paul Fodor, Gian Luca Pozzato, Joost Vennekens, Neng-Fa Zhou:
Proceedings 37th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2021, Porto (virtual event), 20-27th September 2021. EPTCS 345, 2021 [contents] - Chi-Shuen Lee, Brian Cline, Saurabh Sinha, Greg Yeric, H.-S. Philip Wong:
Device-to-System Performance Evaluation: from Transistor/Interconnect Modeling to VLSI Physical Design and Neural-Network Predictor. - Asmita Dalela, Oksana Kulyk, Carsten Schürmann:
Voter Perceptions of Trust in Risk-Limiting Audits. - Rodrigue Siry, Louis Hémadou, Loïc Simon, Frédéric Jurie:
On the inductive biases of deep domain adaptation. - Mingfu Xue, Yinghao Wu, Yushu Zhang, Jian Wang, Weiqiang Liu:
Protect the Intellectual Property of Dataset against Unauthorized Use. - Xian Fang, Jinchao Zhu, Ruixun Zhang, Xiuli Shao, Hongpeng Wang:
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection. - Peisen Yao, Jinguo Zhou, Xiao Xiao, Qingkai Shi, Rongxin Wu, Charles Zhang:
Efficient Path-Sensitive Data-Dependence Analysis. - Alexandr Kazda, Peter Mayr, Dmitriy Zhuk:
Small PCSPs that reduce to large CSPs. - Nathaniel Berger, Stefan Riezler, Artem Sokolov, Sebastian Ebert:
Don't Search for a Search Method - Simple Heuristics Suffice for Adversarial Text Attacks. - Rui Xie, Mingyang Song, Junzhuo Zhou, Jie Mei, Quan Chen:
A Fast Method for Steady-State Memristor Crossbar Array Circuit Simulation. - Vishnu B, Abhishek Sinha:
Fast and Secure Routing Algorithms for Quantum Key Distribution Networks. - Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu:
RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization. - Christina Schneegass, Sophia Sigethy, Malin Eiband, Daniel Buschek:
Comparing Concepts for Embedding Second-Language Vocabulary Acquisition into Everyday Smartphone Interactions. - Robert McCraith, Eldar Insafutdinov, Lukás Neumann, Andrea Vedaldi:
Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views. - Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu:
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection. - Zhenzhi Wang, Liyu Wu, Zhimin Li, Jiangfeng Xiong, Qinglin Lu:
Overview of Tencent Multi-modal Ads Video Understanding Challenge. - Reinald Kim Amplayo, Kang Min Yoo, Sang-Woo Lee:
Efficient Attribute Injection for Pretrained Language Models. - Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. - Robert McCraith, Lukás Neumann, Andrea Vedaldi:
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data. - Stephanie Lin, Jacob Hilton, Owain Evans:
TruthfulQA: Measuring How Models Mimic Human Falsehoods. - Hamid Ebabi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha:
Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL. - Sharana Kumar Shivanand, Bojana Rosic, Hermann G. Matthies:
Stochastic modelling of symmetric positive-definite material tensors. - Jakub Konrád, Jan Pichl, Petr Marek, Petr Lorenc, Van Duy Ta, Ondrej Kobza, Lenka Hýlová, Jan Sedivý:
Alquist 4.0: Towards Social Intelligence Using Generative Models and Dialogue Personalization. - Bastien Liétard, Mostafa Abdou, Anders Søgaard:
Do Language Models Know the Way to Rome? - Suad Krilasevic, Sergio Grammatico:
An extremum seeking algorithm for monotone Nash equilibrium problems. - Steve Tonneau:
Convex strategies for trajectory optimisation: application to the Polytope Traversal Problem. - Jiarong Lin, Fu Zhang:
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package. - Saneem A. Chemmengath, Amar Prakash Azad, Ronny Luss, Amit Dhurandhar:
Let the CAT out of the bag: Contrastive Attributed explanations for Text. - Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. - Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen, Tommi Mikkonen:
On Misbehaviour and Fault Tolerance in Machine Learning Systems. - Weiran Pan, Wei Wei, Xian-Ling Mao:
Context-aware Entity Typing in Knowledge Graphs. - Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. - Luisa März, Ehsaneddin Asgari, Fabienne Braune, Franziska Zimmermann, Benjamin Roth:
KnowMAN: Weakly Supervised Multinomial Adversarial Networks. - Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, Songhwai Oh:
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities. - Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing. - Simon Ott, Christian Meilicke, Matthias Samwald:
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. - Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu:
The NiuTrans System for the WMT21 Efficiency Task. - Kwabena Nuamah:
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning. - Longting Xu, Daiyu Huang, Syed Faham Ali Zaidi, Abdul Rauf, Rohan Kumar Das:
Graph Fourier Transform based Audio Zero-watermarking. - Chi Hu, Bei Li, Ye Lin, Yinqiao Li, Yanyang Li, Chenglong Wang, Tong Xiao, Jingbo Zhu:
The NiuTrans System for WNGT 2020 Efficiency Task. - Stéphane Gaïffas, Ibrahim Merad, Yiyang Yu:
WildWood: a new Random Forest algorithm. - Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. - Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker:
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. - Md. Saddam Hossain Mukta, Ahmed Shahriar Sakib, Md. Adnanul Islam, Mohiuddin Ahmed, Mumshad Ahamed Rifat:
Predicting Users' Value Changes by the Friends' Influence from Social Media Usage. - Jian Cui, Kwanwoo Kim, Seung Ho Na, Seungwon Shin:
Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network. - Javier Fumanal-Idocin, Oscar Cordón, Graçaliz Pereira Dimuro, Maria Minárová, Humberto Bustince:
The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology. - Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu:
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer. - Mohammed Al-Qadasi, Lukas Chrostowski, Bhavin J. Shastri, Sudip Shekhar:
Scaling Up Silicon Photonic-based Accelerators: Challenges and Opportunities, and Roadmapping with Silicon Photonics 2.0. - Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq, Muhammad Khalid:
EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes. - Farooq Aslam, Fatima Shoaib, Hafiz Zeeshan Iqbal Khan, Muhammad Farooq Haydar, Jamshed Riaz:
Robust Stability Analysis of an Uncertain Aircraft Model with Scalar Parametric Uncertainty. - Anthony Cazasnoves, Pierre-Antoine Ganaye, Kévin Sanchis, Tugdual Ceillier:
Neural Architecture Search in operational context: a remote sensing case-study. - Ander Salaberria, Gorka Azkune, Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre:
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering. - (Withdrawn) Accurately Modeling Biased Random Walks on Weighted Graphs Using Node2vec+.
- Xiaohan Lan, Yitian Yuan, Xin Wang, Zhi Wang, Wenwu Zhu:
A Survey on Temporal Sentence Grounding in Videos. - Sheng Liang, Philipp Dufter, Hinrich Schütze:
Locating Language-Specific Information in Contextualized Embeddings. - Greg Bodwin, Michael Dinitz, Yasamin Nazari:
Vertex Fault-Tolerant Emulators. - Faizan Farooq Khan, Syed Zulqarnain Gilani:
Generating Dataset For Large-scale 3D Facial Emotion Recognition. - Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. - Gabriel Moreira, Manuel Marques, João Paulo Costeira:
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs. - Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord:
Raising context awareness in motion forecasting. - Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Björn W. Schuller:
A Machine Learning Framework for Automatic Prediction of Human Semen Motility. - Ambareesh Revanur, Vijay Kumar, Deepthi Sharma:
Semi-Supervised Visual Representation Learning for Fashion Compatibility. - Justus Henneberg, Felix Martin Schuhknecht, Philipp Reutter, Nils Brast, Peter Spichtinger:
Northlight: Declarative and Optimized Analysis of Atmospheric Datasets in SparkSQL. - Samuel Schmidgall, Joseph Hays:
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence. - Herbert L. Roitblat:
FOMO: Topics versus documents in legal eDiscovery. - Hazrat Ali, Khalid Iqbal, Ghulam Mujtaba, Ahmad Fayyaz, Mohammad Farhad Bulbul, Fazal Wahab Karam, Ali Zahir:
Urdu text in natural scene images: a new dataset and preliminary text detection. - Ian Magnusson, Aruna Sankaranarayanan, Andrew Lippman:
Invertable Frowns: Video-to-Video Facial Emotion Translation. - Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. - Riadh Belkebir, Nizar Habash:
Automatic Error Type Annotation for Arabic. - Craig Innes, Subramanian Ramamoorthy:
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design. - Jin Zhao, Fangxing Li, Xi Chen, Qiuwei Wu:
Deep Learning based Model-free Robust Load Restoration to Enhance Bulk System Resilience with Wind Power Penetration. - Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health. - Nasim Baharisangari, Kazuma Hirota, Ruixuan Yan, Agung Julius, Zhe Xu:
Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks. - Himanshu Gupta, Amogh Badugu, Tamanna Agrawal, Himanshu Sharad Bhatt:
Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension. - Ennio Visconti, Ezio Bartocci, Michele Loreti, Laura Nenzi:
Online Monitoring of Spatio-Temporal Properties for Imprecise Signals. - Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He:
DisUnknown: Distilling Unknown Factors for Disentanglement Learning. - Dulaji Hidellaarachchi, John C. Grundy, Rashina Hoda, Kashumi Madampe:
The Effects of Human Aspects on the Requirements Engineering Process: A Systematic Literature Review. - Peixuan Li, Danfeng Zhang:
Towards a General-Purpose Dynamic Information Flow Policy. - Romuald A. Janik:
Aesthetics and neural network image representations. - Pablo Borja, Carmen Chan-Zheng, Jacquelien M. A. Scherpen:
Stabilization of physical systems via saturated controllers with only partial state measurements. - Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz:
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. - Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu, Gauri Joshi:
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer. - Antigoni-Maria Founta, Lucia Specia:
A Survey of Online Hate Speech through the Causal Lens. - Joachim Wagner, Jennifer Foster:
Revisiting Tri-training of Dependency Parsers. - Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn:
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning. - Neslihan Iskender, Oleg V. Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller:
Does Summary Evaluation Survive Translation to Other Languages? - Milagros Miceli, Julian Posada, Tianling Yang:
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? - Jinhyuk Lee, Alexander Wettig, Danqi Chen:
Phrase Retrieval Learns Passage Retrieval, Too. - Sarah Rathnam, Susan A. Murphy, Finale Doshi-Velez:
Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning. - Gabriele Farina, Andrea Celli, Tuomas Sandholm:
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required. - Ishan Misra, Rohit Girdhar, Armand Joulin:
An End-to-End Transformer Model for 3D Object Detection. - Shiva Maharaj, Nick Polson:
Karpov's Queen Sacrifices and AI. - Yuanzhi Wang, Tao Lu, Yanduo Zhang, Junjun Jiang, Jiaming Wang, Zhongyuan Wang, Jiayi Ma:
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network. - John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. - Jeroen Ooge, Katrien Verbert:
Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise. - Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse Factorization of Large Square Matrices. - Megnath Ramesh, Frank Imeson, Baris Fidan, Stephen L. Smith:
Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning. - Muhammad Haris Mughees, Gonçalo Pestana, Alex Davidson, Benjamin Livshits:
PrivateFetch: Scalable Catalog Delivery in Privacy-Preserving Advertising. - Gilad Cohen, Raja Giryes:
KATANA: Simple Post-Training Robustness Using Test Time Augmentations. - Rolando Garcia, Giulia Guidi:
BuDDI: A Declarative Bloom Language for CALM Programming. - Michael D. Siciliano, Travis A. Whetsell:
Strategies of Network Intervention: A Pragmatic Approach to Policy Implementation and Public Problem Resolution through Network Science. - David Picard:
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision. - Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo:
Numerical reasoning in machine reading comprehension tasks: are we there yet? - Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi:
Improving Regression Uncertainty Estimation Under Statistical Change. - Shuyan Zhou, Pengcheng Yin, Graham Neubig:
Hierarchical Control of Situated Agents through Natural Language. - Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani:
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers. - Luís Torgo, Paulo Azevedo, Inês Areosa:
Beyond Average Performance - exploring regions of deviating performance for black box classification models. - Michael Crawshaw, Jana Kosecká:
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning. - Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu:
Dr. Top-k: Delegate-Centric Top-k on GPUs. - Yiming Zhao, Xiao Zhang, Xinming Huang:
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation. - Stefan Dan Ciocirlan, Dumitrel Loghin, Lavanya Ramapantulu, Nicolae Tapus, Yong Meng Teo:
The Accuracy and Efficiency of Posit Arithmetic. - Dolors Costal, Carles Farré, Xavier Franch, Carme Quer:
Inclusion and Exclusion Criteria in Software Engineering Tertiary Studies: A Systematic Mapping and Emerging Framework. - George Chustz, Srikanth Saripalli:
ROOAD: RELLIS Off-road Odometry Analysis Dataset. - Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy:
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. - Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown:
A Bag of Tricks for Dialogue Summarization. - Badr AlKhamissi, Muhammad N. ElNokrashy, David Bernal-Casas:
Deep Spiking Neural Networks with Resonate-and-Fire Neurons. - Tina Seto, Lillian Sung, José D. Posada, Priyamvada Desai, Susan Weber, Somalee Datta:
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research. - Alberto Jesu, Victor-Alexandru Darvariu, Alessandro Staffolani, Rebecca Montanari, Mirco Musolesi:
Reinforcement Learning on Encrypted Data. - Efrat Shimron, Jonathan I. Tamir, Ke Wang, Michael Lustig:
Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results. - Santhosh K. Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John M. Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra:
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI. - Kit C. Chan, Umar Islambekov, Alexey Luchinsky, Rebecca Sanders:
A computationally efficient framework for vector representation of persistence diagrams. - Lydia T. Liu, Nikhil Garg, Christian Borgs:
Strategic Ranking. - Ismael Herrera-Revilla:
The enhanced derived-vector-space approach to domain decomposition methods. - Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. - Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao:
Towards agricultural autonomy: crop row detection under varying field conditions using deep learning. - Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind:
Regularized Training of Nearest Neighbor Language Models. - Ola Benderius, Christian Berger, Krister Blanch:
Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset. - Xudong Han, Timothy Baldwin, Trevor Cohn:
Balancing out Bias: Achieving Fairness Through Training Reweighting. - Saif M. Mohammad:
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis. - Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee:
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. - Yanwen Mao, Paulo Tabuada:
Decentralized Secure State-Tracking in Multi-Agent Systems. - Spandan Das, Pavithra Prabhakar:
Probabilistic Stability Analysis of Planar Robots with Piecewise Constant Derivative Dynamics. - Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld:
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. - Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. - Robert E. Wray III, James R. Kirk, John E. Laird:
Language Models as a Knowledge Source for Cognitive Agents. - Manuel Quezada de Luna, David I. Ketcheson:
Maximum principle preserving space and time flux limiting for Diagonally Implicit Runge-Kutta discretizations of scalar convection-diffusion equations. - Ryan Hoque, Ashwin Balakrishna, Ellen R. Novoseller, Albert Wilcox, Daniel S. Brown, Ken Goldberg:
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning. - Ling Chen, Dandan Lyu, Shanshan Yu, Gencai Chen:
Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged Photos. - Wlodzimierz Drabent:
A Note on Occur-Check. 54-67 - Susana Hahn:
Automata Techniques for Temporal Answer Set Programming. 258-266 - Sinho Chewi, Patrik Gerber, Philippe Rigollet, Paxton Turner:
Gaussian discrepancy: a probabilistic relaxation of vector balancing. - Rafael Kiesel:
Quantitative and Stream Extensions of Answer Set Programming. 267-275 - Damiano Azzolini, Fabrizio Riguzzi:
Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs. 14-26 - Rachel Ben-Eliyahu-Zohary:
How to Split a Logic Program. 27-40 - Bart Bogaerts, Maxime Jakubowski:
Fixpoint Semantics for Recursive SHACL. 41-47 - Laura Giordano, Daniele Theseider Dupré:
Weighted Conditional EL⊥ Knowledge Bases with Integer Weights: an ASP Approach. 70-76 - John Meyer, Daniela Inclezan:
APIA: An Architecture for Policy-Aware Intentional Agents. 84-98 - Poom Pianpak, Tran Cao Son:
DMAPF: A Decentralized and Distributed Solver for Multi-Agent Path Finding Problem with Obstacles. 99-112 - Ezgi Iraz Su:
Refining the Semantics of Epistemic Specifications. 113-126 - Akihiro Takemura, Katsumi Inoue:
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming. 127-140 - Paul Tarau:
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch. 141-154 - Ly Ly T. Trieu, Tran Cao Son, Marcello Balduccini:
exp(ASPc) : Explaining ASP Programs with Choice Atoms and Constraint Rules. 155-161 - Neng-Fa Zhou:
Modeling and Solving Graph Synthesis Problems Using SAT-Encoded Reachability Constraints in Picat. 165-178 - Abeer Dyoub, Stefania Costantini, Ivan Letteri, Francesca A. Lisi:
A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues. 182-188 - Tobias Grubenmann, Jens Lehmann:
Geolog: Scalable Logic Programming on Spatial Data. 191-204 - Fang Li, Huaduo Wang, Kinjal Basu, Elmer Salazar, Gopal Gupta:
DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbots. 205-218 - Sarat Chandra Varanasi, Neeraj Mittal, Gopal Gupta:
Generating Concurrent Programs From Sequential Data Structure Knowledge Using Answer Set Programming. 219-233 - Aysu Bogatarkan:
Flexible and Explainable Solutions for Multi-Agent Path Finding Problems. 240-247 - Francesco Fabiano:
Comprehensive Multi-Agent Epistemic Planning. 248-257 - Jiaojiao Wang, Dabin Zheng, Shenghua Li:
Rack-Aware MSR Codes with Multiple Erasure Tolerance. - Giuseppe Mazzotta:
Compilation of Aggregates in ASP. 286-295 - Seemran Mishra:
Product Configuration in Answer Set Programming. 296-304 - Etienne Tignon:
Formalisation of Action with Durations in Answer Set Programming. 305-309 - Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu:
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis. - Yining Huang, Shaoze Lin, Yijun Wei, Keke Tang:
Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services. - Domenico Cantone, Andrea De Domenico, Pietro Maugeri:
On the Convexity of a Fragment of Pure Set Theory with Applications within a Nelson-Oppen Framework. 195-210 - Clemens Kupke, Johannes Marti, Yde Venema:
On the size of disjunctive formulas in the μ-calculus. 291-307 - Raoul Koudijs:
Finite Model Property and Bisimulation for LFD. 166-178 - A. R. Balasubramanian, Chana Weil-Kennedy:
Reconfigurable Broadcast Networks and Asynchronous Shared-Memory Systems are Equivalent. 18-34 - Dhananjay Raju, Rüdiger Ehlers, Ufuk Topcu:
Adapting to the Behavior of Environments with Bounded Memory. 52-66 - Tobias Winkler, Maximilian Weininger:
Stochastic Games with Disjunctions of Multiple Objectives. 83-100 - Antti Kuusisto, Raine Rönnholm:
The Optimal Way to Play the Most Difficult Repeated Coordination Games. 101-116 - Alessandro Cimatti, Luca Geatti, Nicola Gigante, Angelo Montanari, Stefano Tonetta:
Expressiveness of Extended Bounded Response LTL. 152-165 - Laura Bozzelli, Angelo Montanari, Adriano Peron, Pietro Sala:
Adding the Relation Meets to the Temporal Logic of Prefixes and Infixes makes it EXPSPACE-Complete. 179-194 - Jan Rooduijn, Yde Venema:
Filtration and canonical completeness for continuous modal mu-calculi. 211-226 - Ashwani Anand, Nathanaël Fijalkow, Aliénor Goubault-Larrecq, Jérôme Leroux, Pierre Ohlmann:
New Algorithms for Combinations of Objectives using Separating Automata. 227-240 - Gustav Grabolle:
A Nivat Theorem for Weighted Alternating Automata over Commutative Semirings. 241-257 - Miikka Vilander:
Games for Succinctness of Regular Expressions. 258-272 - Giovanni Pagliarini, Guido Sciavicco:
Decision Tree Learning with Spatial Modal Logics. 273-290 - Simon Jantsch, Jakob Piribauer, Christel Baier:
Witnessing Subsystems for Probabilistic Systems with Low Tree Width. 35-51 - Erich Grädel, Niels Lücking, Matthias Naaf:
Semiring Provenance for Büchi Games: Strategy Analysis with Absorptive Polynomials. 67-82 - Pouya Kousha, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda:
Cross-layer Visualization and Profiling of Network and I/O Communication for HPC Clusters. - Haruka Kiyohara, Kosuke Kawakami, Yuta Saito:
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation. - Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan:
Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing. - Hongxuan Tang, Hao Liu, Xinyan Xiao, Hua Wu:
A Multimodal Sentiment Dataset for Video Recommendation. - Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. - Wei Zheng, Taeho Jung, Hai Lin:
The Stackelberg Equilibrium for One-sided Zero-sum Partially Observable Stochastic Games. - Geon Lee, Kijung Shin:
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting. - Zac Wellmer, James T. Kwok:
Dropout's Dream Land: Generalization from Learned Simulators to Reality. - Kentaro Ohnishi, Daisuke Kotani, Hirofumi Ichihara, Yohei Kanemaru, Yasuo Okabe:
Acila: Attaching Identities of Workloads for Efficient Packet Classification in a Cloud Data Center Network. - Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. - Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin:
Learning Enhanced Optimisation for Routing Problems. - Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang:
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. - Kosuke Nishida, Kyosuke Nishida, Sen Yoshida:
Task-adaptive Pre-training of Language Models with Word Embedding Regularization. - Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. - Yuebing Liang, Zhan Zhao, Lijun Sun:
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns. - Luca Serena, Gabriele D'Angelo, Stefano Ferretti:
Security Analysis of Distributed Ledgers and Blockchains through Agent-based Simulation. - Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. - Yeachan Kim, Bonggun Shin:
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. - Weixi Zhao, Yunjie Tian, Qixiang Ye, Jianbin Jiao, Weiqiang Wang:
GraFormer: Graph Convolution Transformer for 3D Pose Estimation. - Chenxiao Liu, Xiaojun Wan:
CodeQA: A Question Answering Dataset for Source Code Comprehension. - Sethupathy Subramanian, Udaya Kumar, Sujata Bhowmick:
On Overcoming the Transverse Boundary Error of the SU/PG Scheme for Moving Conductor Problems. - Yuan Yuan, Hailong Ning, Bin Zhao:
Bio-Inspired Audio-Visual Cues Integration for Visual Attention Prediction. - Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih, Naveen Kumar Uppalapati, Udit Halder, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola:
A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. - Ryoji Tanabe:
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization. - Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu:
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. - Harsh Shukla:
Adaptive Steering Control for Steer-by-Wire Systems. - Xinyuan Qi, Kai Hou, Tong Liu, Zhongzhong Yu, Sihao Hu, Wenwu Ou:
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba. - Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu:
To be Closer: Learning to Link up Aspects with Opinions. - Xiuqiang He, Hua Geng, Geng Yang:
Mode Clustering Based Dynamic Equivalent Modeling of Wind Farm for Small-Signal Stability Analysis. - Yngve Sekse Kristiansen, Laura A. Garrison, Stefan Bruckner:
Semantic Snapping for Guided Multi-View Visualization Design. - Gwanghyun Jo, Do Young Kwak:
Mixed virtual volume methods for elliptic problems. - Alberto Rech, Stefano Tomasin:
Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning. - Fredrik Johansson:
Arbitrary-precision computation of the gamma function. - Andreas Kuster, Jakub Filipek, Viswa Virinchi Muppirala:
reproducing "ner and pos when nothing is capitalized". - Zhepei Wang, Chao Xu, Fei Gao:
Robust Trajectory Planning for Spatial-Temporal Multi-Drone Coordination in Large Scenes. - Jason Phang, Haokun Liu, Samuel R. Bowman:
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers. - Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan:
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition. - Zheng Lian, Yanan Zhang, Haichang Li, Rui Wang, Xiaohui Hu:
Cross Modification Attention Based Deliberation Model for Image Captioning. - Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu:
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. - Siddhant Kumar, Dennis M. Kochmann:
What machine learning can do for computational solid mechanics. - Yossi Azar, Stefano Leonardi, Noam Touitou:
Distortion-Oblivious Algorithms for Minimizing Flow Time. - Antonis Bikakis, Luke Dickens, Anthony Hunter, Rob Miller:
Repurposing of Resources: from Everyday Problem Solving through to Crisis Management. - Francesco Linsalata, Antonio Albanese, Vincenzo Sciancalepore, Francesca Roveda, Maurizio Magarini, Xavier Costa-Pérez:
OTFS-superimposed PRACH-aided Localization for UAV Safety Applications. - Shuchan Wang, Photios A. Stavrou, Mikael Skoglund:
Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality. - Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. - Martin Graham, Robert Kukla, Oleksii Mandrychenko, Darren Hart, Jessie Kennedy:
Developing Visualisations to Enhance an Insider Threat Product: A Case Study. - Fabricio Murai, Antônio Augusto de Aragão Rocha, Daniel R. Figueiredo, Edmundo Albuquerque de Souza e Silva:
Heterogeneous download times in bandwidth-homogeneous BitTorrent swarms. - Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp:
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. - Luca Arpaia, Héloïse Beaugendre, Luca Cirrottola, Algiane Froehly, Marco Lorini, Léo Nouveau, Mario Ricchiuto:
h- and r- adaptation on simplicial meshes using MMG tools. - Gabriele Picco, Hoang Thanh Lam, Marco Luca Sbodio, Vanessa López Garcia:
Neural Unification for Logic Reasoning over Natural Language. - Franklin Camacho, Rigoberto Fonseca-Delgado, Ramón Pino Pérez, Guido Tapia:
Beyond identical utilities: buyer utility functions and fair allocations. - Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. - Meixiang Quan, Zheng Chai, Xiao Liu:
LOF: Structure-Aware Line Tracking based on Optical Flow. - Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Online Learning of Network Bottlenecks via Minimax Paths. - Robert P. Gilles, Lina Mallozzi, Roberta Messalli:
Emergent Collaboration in Social Purpose Games. - Mengmeng Wang, Jiazheng Xing, Yong Liu:
ActionCLIP: A New Paradigm for Video Action Recognition. - Peide Cai, Sukai Wang, Hengli Wang, Ming Liu:
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning. - Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. - Mélodie Boillet, Martin Maarand, Thierry Paquet, Christopher Kermorvant:
Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers. - Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. - Robert Bauer, Martina Zitterbart:
An Optimization-based Approach for Flow Table Capacity Bottleneck Mitigation in Software-Defined Networks. - Matthew Deakin, Ilias Sarantakos, David M. Greenwood, Janusz Bialek, Philip C. Taylor, Wenlong Ming, Charalampos Patsios:
Hybrid Open Points for Increasing Network Capacity in Distribution Systems. - Elchanan Zwecher, Eran Iceland, Sean R. Levy, Shmuel Y. Hayoun, Oren Gal, Ariel Barel:
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping. - Rémi Abgrall, Mario Ricchiuto:
Hyperbolic balance laws: residual distribution, local and global fluxes. - Javad Amirian, Jean-Bernard Hayet, Julien Pettré:
What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing. - Mikkel Møller Andersen, Pinar Tözün:
Micro-architectural Analysis of a Learned Index. - Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich:
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining. - Clément Rolinat, Mathieu Grossard, Saifeddine Aloui, Christelle Godin:
Learning to Model the Grasp Space of an Underactuated Robot Gripper Using Variational Autoencoder. - Ting-Han Fan, Yubo Wang:
Soft Actor-Critic With Integer Actions. - Roberto Bigazzi, Federico Landi, Silvia Cascianelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
Focus on Impact: Indoor Exploration with Intrinsic Motivation. - Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully:
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. - Hector Zenil:
A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space. - Jinyu Chen, Haoran Zhang, Xuan Song, Ryosuke Shibasaki:
An open GPS trajectory dataset and benchmark for travel mode detection. - Antonio Albanese, Placido Mursia, Vincenzo Sciancalepore, Xavier Costa-Pérez:
PAPIR: Practical RIS-aided Localization via Statistical User Information. - Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, Danqi Chen:
Simple Entity-Centric Questions Challenge Dense Retrievers. - Minghao Li, Yingrui Jie, Yang Kong, Hui Cheng:
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach. - André Greiner-Petter, Moritz Schubotz, Howard S. Cohl, Bela Gipp:
MathTools: An Open API for Convenient MathML Handling. - Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. - Anam Tahir, Bastian Alt, Amr Rizk, Heinz Koeppl:
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback. - Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness under Unawareness via Quantification. - Liyi Luo, Beiwen Tian, Hao Zhao, Guyue Zhou:
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck. - Sourya Dipta Das, Ayan Basak:
Context-aware Retail Product Recommendation with Regularized Gradient Boosting. - Yannis Papanikolaou, Francine Bennett:
Slot Filling for Biomedical Information Extraction. - Ahmed Magooda, Mohamed Elaraby, Diane J. Litman:
Exploring Multitask Learning for Low-Resource AbstractiveSummarization. - Christos Chrysoulas, Amanda Thomson, Nikolaos Pitropakis, Pavlos Papadopoulos, Owen Lo, William J. Buchanan, George Domalis, Nikos I. Karacapilidis, Dimitris Tsakalidis, Dimitrios Tsolis:
GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. - Praveen Kumar, Sudhan Majhi, Subhabrata Paul:
A Direct Construction of GCP and Binary CCC of Length Non Power of Two. - Ahmed Magooda, Diane J. Litman:
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization. - Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher:
Self-Supervised Neural Architecture Search for Imbalanced Datasets. - Dmitry Ustalov, Nikita Pavlichenko, Vladimir Losev, Evgeny Tulin, Iulian Giliazev:
A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python. - Wei Huang, Chen Liu, Yihua Zhao, Xinyun Yang, Zhaoming Pan, Zhimin Zhang, Guiquan Liu:
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification. - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Does Commonsense help in detecting Sarcasm? - Melvin Wevers, Jan Kostkan, Kristoffer L. Nielbo:
Event Flow - How Events Shaped the Flow of the News, 1950-1995. - Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. - Lukas Lange, Heike Adel, Jannik Strötgen:
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. - Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner:
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems. - Oliver Groth, Markus Wulfmeier, Giulia Vezzani, Vibhavari Dasagi, Tim Hertweck, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration. - Borja Rodríguez Gálvez, Filip Granqvist, Rogier C. van Dalen, Matt Seigel:
Enforcing fairness in private federated learning via the modified method of differential multipliers. - Javier de la Rosa:
The futility of STILTs for the classification of lexical borrowings in Spanish. - João Paulo Bezerra, Petr Kuznetsov, Alice Koroleva:
Relaxed Reliable Broadcast for Decentralized Trust. - Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. - Sadaf Salehkalaibar, Vincent Y. F. Tan:
Distributed Sequential Hypothesis Testing With Zero-Rate Compression. - Morteza Naserzade, Aso Mahmudi, Hadi Veisi, Hawre Hosseini, Mohammad MohammadAmini:
CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish. - Yuta Saito, Takuma Udagawa, Kei Tateno:
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service. - Changming Wu, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, Mo Li:
Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN). - Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia:
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. - Tianpei Liao, Amal Haridevan, Yibo Liu, Jinjun Shan:
Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning. - Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto:
A Fairness Analysis on Private Aggregation of Teacher Ensembles. - Trier Mortlock, Deepan Muthirayan, Shih-Yuan Yu, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Graph Learning for Cognitive Digital Twins in Manufacturing Systems. - Halie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan, Daniel S. Himmelstein, Michael P. Robson, Vincent Rubinetti, Ryan Velazquez, Casey S. Greene, Anthony Gitter:
An Open-Publishing Response to the COVID-19 Infodemic. - Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas:
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? - Yifan Wang, Yuchen Zhang, Chengbin Pang, Peng Li, Nikolaos Triandopoulos, Jun Xu:
Facilitating Parallel Fuzzing with mutually-exclusive Task Distribution. - Rui Graca, Tobi Delbrück:
Unraveling the paradox of intensity-dependent DVS pixel noise. - Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez:
Efficient State Representation Learning for Dynamic Robotic Scenarios. - Georgios Amanatidis, Georgios Birmpas, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser:
Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness. - Sadik Bessou, Ghozlane Chenni:
Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners. - Suraj Pandey, Svetlana Stoyanchev, Rama Doddipatla:
Towards Handling Unconstrained User Preferences in Dialogue. - Dmitri Moltchanov, Eduard S. Sopin, Vyacheslav Begishev, Andrey Samuylov, Yevgeni Koucheryavy, Konstantin E. Samouylov:
A Tutorial on Mathematical Modeling of Millimeter Wave and Terahertz Cellular Systems. - Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu:
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar. - Ajay Singh Ludher, Marium Tawhid, Hashim A. Hashim:
Nonlinear Deterministic Filter for Inertial Navigation and Bias Estimation with Guaranteed Performance. - Howard S. Cohl, Moritz Schubotz, Abdou Youssef, André Greiner-Petter, Jürgen Gerhard, Bonita V. Saunders, Marjorie A. McClain:
Semantic Preserving Bijective Mappings of Mathematical Formulae between Document Preparation Systems and Computer Algebra Systems. - Mario Alviano, Wolfgang Faber, Martin Gebser:
Aggregate Semantics for Propositional Answer Set Programs. - Javier Yu, Joseph A. Vincent, Mac Schwager:
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning. - David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le:
Primer: Searching for Efficient Transformers for Language Modeling. - Baturalp Buyukates, Melih Bastopcu, Sennur Ulukus:
Version Age of Information in Clustered Gossip Networks. - Fatemeh Shahsavari, Jeffrey D. Hart, Wei Yan:
Risk Assessment for Performance-Driven Building Design with BIM-Based Parametric Methods. - Yotam Gafni, Xin Huang, Ron Lavi, Inbal Talgam-Cohen:
Unified Fair Allocation of Goods and Chores via Copies. - Hassan M. Ahmed, Bessam Abdulrazak:
Monitoring Indoor Activity of Daily Living Using Thermal Imaging: A Case Study. - Yingzhen Yang, Ping Li:
Discriminative Similarity for Data Clustering. - Guillermo Grande, Dhruv Batra, Erik Wijmans:
Realistic PointGoal Navigation via Auxiliary Losses and Information Bottleneck. - Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. - Fang Li:
Graph Based Answer Set Programming Solver Systems. 276-285 - Ana Enriquez:
Section 108 and Software Collections, A User's Guide. - Khalid Alnajjar, Mika Hämäläinen:
When a Computer Cracks a Joke: Automated Generation of Humorous Headlines. - Jacob Sundstrom:
Speaker Placement Agnosticism: Improving the Distance-based Amplitude Panning Algorithm. - Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. - Baohao Liao, Shahram Khadivi, Sanjika Hewavitharana:
Back-translation for Large-Scale Multilingual Machine Translation. - Trevor Olsen, Nicholas M. Stiffler, Jason M. O'Kane:
Robust-by-Design Plans for Multi-Robot Pursuit-Evasion. - Chenyang Ma, Boyuan Xu:
The Optimization of the Constant Flow Parallel Micropump Using RBF Neural Network. - Irene Li, Vanessa Yan, Dragomir R. Radev:
Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains. - Hayeong Song, Yu Fu, Bahador Saket, John T. Stasko:
Understanding the Effects of Visualizing Missing Values on Visual Data Exploration. - Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post, Christian Federmann, Philipp Koehn:
The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task. - Faegheh Sardari, Björn Ommer, Majid Mirmehdi:
Unsupervised View-Invariant Human Posture Representation. - Iden Kalemaj, Sofya Raskhodnikova, Nithin Varma:
Sublinear-Time Computation in the Presence of Online Erasures. - Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
Auto White-Balance Correction for Mixed-Illuminant Scenes. - Wilton Jaciel Loch, Guilherme Piêgas Koslovski:
Sparbit: a new logarithmic-cost and data locality-aware MPI Allgather algorithm. - Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han:
Semi-Supervised Few-Shot Intent Classification and Slot Filling. - Yang You, Vincent Thomas, Francis Colas, Olivier Buffet:
Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP. - Omer Subasi, Joseph B. Manzano, Kevin J. Barker:
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. - Jason Wu, Xiaoyi Zhang, Jeffrey Nichols, Jeffrey P. Bigham:
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots. - Angelo Iollo, Tommaso Taddei:
Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models. - Rupa Kurinchi-Vendhan, Björn Lütjens, Ritwik Gupta, Lucien Werner, Dava Newman:
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data. - Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer:
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation. - Ke Sun, Yi Liu, Yingnan Zhao, Hengshuai Yao, Shangling Jui, Linglong Kong:
Exploring the Robustness of Distributional Reinforcement Learning against Noisy State Observations. - Deepthi Sen:
Capacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study. - Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. - Vrushabh Zinage, Efstathios Bakolas:
Minimum-fuel Spacecraft Rendezvous based on Sparsity Promoting Optimization. - Eric Osterweil, Pouyan Fotouhi Tehrani, Thomas C. Schmidt, Matthias Wählisch:
From the Beginning: Key Transitions in the First 15 Years of DNSSEC. - Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões:
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction. - Mohammadjavad Javadinasr, Amir Bahador Parsa, Abolfazl (Kouros) Mohammadian:
A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines. - Zhushou Tang, Lingyi Tang, Keying Tang, Ruoying Tang:
When Similarity Digest Meets Vector Management System: A Survey on Similarity Hash Function. - Alex Chohlas-Wood, Madison Coots, Emma Brunskill, Sharad Goel:
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making. - Sumaia Mohammed Al-Ghuribi, Shahrul Azman Mohd. Noah:
A Comprehensive Overview of Recommender System and Sentiment Analysis. - Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili:
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. - (Withdrawn) Solar cell patent classification method based on keyword extraction and deep neural network.
- Shaunak A. Mehta, Sagar Parekh, Dylan P. Losey:
Learning Latent Actions without Human Demonstrations. - David B. Stein, Alex H. Barnett:
Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects. - Xi Yang, Shi Jin, Geoffrey Ye Li, Xiao Li:
Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems. - Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu:
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation. - Yuhang Jia, Wuyang Jiang, Ying Cui:
Low-complexity Robust Optimization for an IRS-assisted Multi-Cell Network. - Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang:
HYouTube: Video Harmonization Dataset. - Yujian Feng, Feng Chen, Jian Yu, Yimu Ji, Fei Wu, Shangdong Liu:
Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification. - Dongjun Park, Geung-Hee Lee:
Structured Pattern Pruning Using Regularization. - Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme:
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. - Shuo Cheng, Kaichun Mo, Lin Shao:
Learning to Regrasp by Learning to Place. - Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. - Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu:
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression. - Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur:
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems. - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol. - Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes. - Jian Hu, Hongya Tuo, Shizhao Zhang, Chao Wang, Haowen Zhong, Zhikang Zou, Zhongliang Jing, Henry Leung, Ruping Zou:
Self-Adaptive Partial Domain Adaptation. - Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham:
MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning. - Mingda Chen, Kevin Gimpel:
TVRecap: A Dataset for Generating Stories with Character Descriptions. - Akkamahadevi Hanni, Yu Zhang:
Generating Active Explicable Plans in Human-Robot Teaming. - Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu:
SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification. - Feng Chen, Fei Wu, Qi Wu, Zhiguo Wan:
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person. - Jiannan Wu, Peize Sun, Shoufa Chen, Jiewen Yang, Zihao Qi, Lan Ma, Ping Luo:
Towards High-Quality Temporal Action Detection with Sparse Proposals. - Syful Islam, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
An Exploration of npm Package Co-Usage Examples from Stack Overflow: A Case Study. - Josh Grace, Foaad Khosmood:
Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees. - Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Hanpin Wang, Yongzhi Cao:
Favoring Eagerness for Remaining Items: Achieving Efficient and Fair Assignments. - Yingtao Tian, David Ha:
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts. - Xiyuan Wei, Bin Gu, Heng Huang:
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization. - (Withdrawn) Groups Influence with Minimum Cost in Social Networks.
- Firman M. Firmansyah:
How Does Facebook Retain Segregated Friendship? An Agent-Based Model Approach. - (Withdrawn) Streaming algorithms for Budgeted k-Submodular Maximization problem.
- Qinghui Sun, Jie Gu, Bei Yang, Xiaoxiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu:
Interest-oriented Universal User Representation via Contrastive Learning. - Lingyu Zhu, Esa Rahtu:
V-SlowFast Network for Efficient Visual Sound Separation. - Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Clean-label Backdoor Attack against Deep Hashing based Retrieval. - Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. - Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang, Haoran Wang, Haonan Lu, Ximing Liu, Wei Peng:
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona. - Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che:
DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation. - Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai:
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision. - Hee-Seung Moon, Jiwon Seo:
Fast User Adaptation for Human Motion Prediction in Physical Human-Robot Interaction. - Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit:
Design and Results of ICCMA 2021. - (Withdrawn) Towards Joint Intent Detection and Slot Filling via Higher-order Attention.
- Oka Kurniawan, Cyrille Jégourel, Norman Tiong Seng Lee, Matthieu De Mari, Christopher M. Poskitt:
Steps Before Syntax: Helping Novice Programmers Solve Problems using the PCDIT Framework. - Howard S. Cohl, André Greiner-Petter, Moritz Schubotz:
Automated Symbolic and Numerical Testing of DLMF Formulae using Computer Algebra Systems. - Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez:
Dependency distance minimization predicts compression. - Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu:
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. - Deyu Yang, Hanbo Zhang, Xuguang Lan, Jishiyu Ding:
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards. - Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa, Fiammetta Marulli, Francesco Mercaldo:
Towards Resilient Artificial Intelligence: Survey and Research Issues. - Jordan K. Kobellarz, Milos Brocic, Alexandre R. Graeml, Daniel Silver, Thiago Henrique Silva:
Popping the bubble may not be enough: news media role in online political polarization. - Iyiola E. Olatunji, Thorben Funke, Megha Khosla:
Releasing Graph Neural Networks with Differential Privacy Guarantees. - Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. - Liwen Zou, XinHang Luo, Delu Zeng, Liming Ling, Li-Chen Zhao:
Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning. - Pei-Chun Chang, Yong-Sheng Chen, Chang-Hsing Lee:
MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification. - Hongruixuan Chen, Chen Wu, Yonghao Xu, Bo Du:
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer. - Mingchen Zhang, Xiaojun Yuan:
Intelligent Reflecting Surface Aided MIMO with Cascaded Line-of-Sight Links: Channel Modelling and Capacity Analysis. - David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko:
Text Detoxification using Large Pre-trained Neural Models. - Yuedong Chen, Junjia Huang, Jianfeng Wang, Xiaohua Xie:
Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images. - Wei Yan, Sian-Jheng Lin:
A Tighter Upper Bound of the Expansion Factor for Universal Coding of Integers and Its Code Constructions. - Sahil Khose, Shruti Jain, V. Manushree:
A Studious Approach to Semi-Supervised Learning. - Zihao Wang, Hang Yin, Yangqiu Song:
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs. - Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou:
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. - Jeffrey Helt, Matthew Burke, Amit Levy, Wyatt Lloyd:
Regular Sequential Serializability and Regular Sequential Consistency. - Bodin Chinthanet, Raula Gaikovina Kula, Rodrigo Eliza Zapata, Takashi Ishio, Kenichi Matsumoto, Akinori Ihara:
SōjiTantei: Function-Call Reachability Detection of Vulnerable Code for npm Packages. - Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong:
Optimization-based Block Coordinate Gradient Coding. - Will Ma, Pan Xu, Yifan Xu:
Fairness Maximization among Offline Agents in Online-Matching Markets. - Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
Complex Temporal Question Answering on Knowledge Graphs. - Libo Wang, Shenghui Fang, Ce Zhang, Rui Li, Chenxi Duan:
Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation. - Weizhu Bao, Yongyong Cai, Yue Feng:
Improved uniform error bounds for the time-splitting methods for the long-time dynamics of the Schrödinger/nonlinear Schrödinger equation. - Praveen Tirupattur, Christian Schulze, Andreas Dengel:
Violence Detection in Videos. - Yuheng Wang, Margaret P. Chapman:
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. - Farzad Shafiei Dizaji, Mehrdad Shafiei Dizaji:
Graph-Theoretical Based Algorithms for Structural Optimization. - Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Inductive Conformal Recommender System. - Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen:
Manifold-preserved GANs. - Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
AI Accelerator Survey and Trends. - Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. - Sandra Alves, Maribel Fernández, Miguel Ramos:
EVL: a typed functional language for event processing. - Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Kebin Wu, Pei Wang:
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction. - Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho, Jonathan Moore, Logan Borys, Lucas Lavalva:
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. - Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas:
Visual Representation Learning for Preference-Aware Path Planning. - Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan:
Temporal Knowledge Graph Completion using Box Embeddings. - Yushi Bai, Paul Gölz:
Envy-Free and Pareto-Optimal Allocations for Asymmetric Agents. - Fan Bai, Fei Meng, Jianbang Liu, Jiankun Wang, Max Q.-H. Meng:
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search. - Samayan Bhattacharya, Sk Shahnawaz:
Atrial Fibrillation: A Medical and Technological Review. - Dasong Gao, Chen Wang, Sebastian A. Scherer:
AirLoop: Lifelong Loop Closure Detection. - Mario Teixeira Lemes, Cristiano Bonato Both, Antonio Carlos De Oliveira Júnior, Kleber Vieira Cardoso:
A Tutorial on Trusted and Untrusted non-3GPP Accesses in 5G Systems - First Steps Towards a Unified Communications Infrastructure. - Siyi Yang, Ahmed H. Hareedy, A. Robert Calderbank, Lara Dolecek:
Breaking the Computational Bottleneck: Design of Near-Optimal High-Memory Spatially-Coupled Codes. - Andrew M. Mironov:
A Distributed Process Model of Cryptographic Protocols. - Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin:
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. - Oscar J. Ciceri, Carlos A. Astudillo, Gustavo B. Figueiredo, Zuqing Zhu, Nelson L. S. da Fonseca:
Passive Optical Networking for 5G and Beyond 5G Low-Latency Mobile Fronthauling Services. - Cheuk Ting Li:
The Undecidability of Network Coding with some Fixed-Size Messages and Edges. - Meng Guo, Mathias Bürger:
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation. - Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. - Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis. - Hyung Ju Hwang, Seyoung Jung, Min Sue Park, Hyeontae Jo:
Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning. - Christopher Grebe, Emmett Wise, Jonathan Kelly:
Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art. - Min Li, Yaozhong Hu, Chengming Huang, Xiong Wang:
Mean square stability of stochastic theta method for stochastic differential equations driven by fractional Brownian motion. - Thayer Alshaabi, Colin Michael Van Oort, Mikaela Irene D. Fudolig, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds:
Augmenting semantic lexicons using word embeddings and transfer learning. - Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja:
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. - Mehmet Bulut:
Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey. - Prasad Hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi:
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. - Shiva Kazemi Taskou, Mehdi Rasti, Pedro H. J. Nardelli, Arthur Sousa de Sena:
Distributed Joint Power and Rate Control for NOMA/OFDMA in 5G and Beyond. - Veysel Kocaman, Ofer M. Shir, Thomas Bäck:
The Unreasonable Effectiveness of the Final Batch Normalization Layer. - William C. Sleeman IV, Rishabh Kapoor, Preetam Ghosh:
Multimodal Classification: Current Landscape, Taxonomy and Future Directions. - Justin Elarde, Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, Taylor Anderson:
Change of human mobility during COVID-19: A United States case study. - Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training. - Nhat Truong Pham, Duc Ngoc Minh Dang, Sy Dzung Nguyen:
Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition. - Feng Dai, Vladimir N. Temlyakov:
Sampling discretization of integral norms and its application. - Michael Wan, Jian Peng, Tanmay Gangwani:
Hindsight Foresight Relabeling for Meta-Reinforcement Learning. - Xiulong Yang, Shihao Ji:
JEM++: Improved Techniques for Training JEM. - Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li:
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection. - Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. - Jiawei Mo, Junaed Sattar:
Continuous-Time Spline Visual-Inertial Odometry. - Yang Li, Guodong Long, Tao Shen, Jing Jiang:
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. - Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Dual Behavior Regularized Reinforcement Learning. - Chapman Siu, Jason Traish, Richard Yi Da Xu:
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures. - Jungwon Park, Dabin Kim, Gyeong Chan Kim, Dahyun Oh, H. Jin Kim:
Online Distributed Trajectory Planning for Quadrotor Swarm with Feasibility Guarantee using Linear Safe Corridor. - Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua:
"Don't Downvote A$$$$$$s!!": An Exploration of Reddit's Advice Communities. - Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. - Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames:
Model-Free Safety-Critical Control for Robotic Systems. - Franko Schmähling, Jörg Martin, Clemens Elster:
A framework for benchmarking uncertainty in deep regression. - Qi Liu, Cunsheng Ding, Sihem Mesnager, Chunming Tang, Vladimir D. Tonchev:
On Infinite Families of Narrow-Sense Antiprimitive BCH Codes Admitting 3-Transitive Automorphism Groups and their Consequences. - Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong:
Object Tracking by Jointly Exploiting Frame and Event Domain. - Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao:
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm. - Susan M. Mniszewski, James F. Belak, Jean-Luc Fattebert, Christian F. A. Negre, Stuart R. Slattery, Adetokunbo Adedoyin, Robert F. Bird, Choong-Seock Chang, Guangye Chen, Stéphane Ethier, Shane Fogerty, Salman Habib, Christoph Junghans, Damien Lebrun-Grandié, Jamaludin Mohd-Yusof, Stan G. Moore, Daniel Osei-Kuffuor, Steven J. Plimpton, Adrian Pope, Samuel Temple Reeve, Lee F. Ricketson, Aaron Scheinberg, Amil Y. Sharma, Michael E. Wall:
Enabling particle applications for exascale computing platforms. - Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard H. Hovy:
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. - Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy:
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. - Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. - Diptendu Chatterjee, Bimal Kumar Roy:
An Improved Scheduling Algorithm for Traveling Tournament Problem with Maximum Trip Length Two. - Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong:
Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. - Zhenhong Zou, Yizhe Li:
Efficient Urban-scale Point Clouds Segmentation with BEV Projection. - Daniela N. Rim, DongNyeong Heo, Heeyoul Choi:
Adversarial Training with Contrastive Learning in NLP. - Sebastian Hoffmann, Christian Lessig:
Towards Representation Learning for Atmospheric Dynamics. - Josh Smith, Hassan Jameel Asghar, Gianpaolo Gioiosa, Sirine Mrabet, Serge Gaspers, Paul Tyler:
Making the Most of Parallel Composition in Differential Privacy. - Jennifer Wakulicz, He Kong, Salah Sukkarieh:
Active Information Acquisition under Arbitrary Unknown Disturbances. - Yan Tang, Shiqing Zhang:
On the convergence and applications of the inertial-like method for null-point problems. - Tomas M. Borges, Teófilo E. de Campos, Ricardo L. de Queiroz:
Towards robustness under occlusion for face recognition. - Juping Zhang, Yi Yuan, Gan Zheng, Ioannis Krikidis, Kai-Kit Wong:
Embedding Model Based Fast Meta Learning for Downlink Beamforming Adaptation. - Do Wan Kim, Dong Hwan Lee:
Relaxation of PLMI in the Form of Double Sum. - Hugo Gimbert, Claire Mathieu, Simon Mauras:
Constrained School Choice with Incomplete Information. - Chen Wang, Feng Zhang, Xiatian Zhu, Shuzhi Sam Ge:
Low-resolution Human Pose Estimation. - Dorian Peters:
Wellbeing supportive design - Research-based guidelines for supporting psychological wellbeing in user experience. - Mahmoud Mahfouz, Armineh Nourbakhsh, Sameena Shah:
A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling. - Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa:
What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study. - Pascal Heid:
A link between the steepest descent method and fixed-point iterations. - Hai Victor Habi, Reuven Peretz, Elad Cohen, Lior Dikstein, Oranit Dror, Idit Diamant, Roy H. Jennings, Arnon Netzer:
HPTQ: Hardware-Friendly Post Training Quantization. - Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? - Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen:
ComicGAN: Text-to-Comic Generative Adversarial Network. - Yee-Loo Foo:
Secrecy Capacity and Energy Efficiency of Spectrum Sharing Networks Incorporating Physical Layer Security. - David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow:
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation. - Markus Bachmayr, Igor Voulis:
An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality. - Shijie Chen, Yu Zhang, Qiang Yang:
Multi-Task Learning in Natural Language Processing: An Overview. - Fausto Giunchiglia, Daqian Shi:
Property-based Entity Type Graph Matching. - Shuzhen Chen, Dongxiao Yu, Yifei Zou, Jiguo Yu, Xiuzhen Cheng:
Decentralized Wireless Federated Learning with Differential Privacy. - Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang:
RSI-Net: Two-Stream Deep Neural Network Integrating GCN and Atrous CNN for Semantic Segmentation of High-resolution Remote Sensing Images. - Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding:
LODE: Deep Local Deblurring and A New Benchmark. - Atharva Tendle, Mohammad Rashedul Hasan:
A Study of the Generalizability of Self-Supervised Representations. - Carlos H. G. Ferreira, Fabricio Murai, Ana P. C. Silva, Jussara M. Almeida, Martino Trevisan, Luca Vassio, Marco Mellia, Idilio Drago:
On the Dynamics of Political Discussions on Instagram: A Network Perspective. - Ashim Kumar, João R. Cardoso, Gurjinder Singh:
Explicit Solutions of the Singular Yang-Baxter-like Matrix Equation and Their Numerical Computation. - Mika Göös, Stefan Kiefer:
Lower Bounds on Unambiguous Automata Complementation and Separation via Communication Complexity. - Chaitanyavishnu S. Gadde, Mohitvishnu S. Gadde, Nishant Mohanty, Suresh Sundaram:
Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment. - Jun Yuan, Oded Nov, Enrico Bertini:
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets. - Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. - Bowen Wen, Wenzhao Lian, Kostas E. Bekris, Stefan Schaal:
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. - Mahdi Rezaei, Mohsen Azarmi, Farzam Mohammad Pour Mir:
Traffic-Net: 3D Traffic Monitoring Using a Single Camera. - Xiaodan Hu, Narendra Ahuja:
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition. - Florian Hofer, Barbara Russo:
Architecture and Its Vulnerabilities in Smart-Lighting Systems. - Arion Pons, Tsevi Beatus:
Conditions for energetically-optimal elasticity and their implications for biomimetic propulsion systems. - Andrés Chandía:
FST Morphological Analyser and Generator for Mapudüngun. - Annie Xie, Chelsea Finn:
Lifelong Robotic Reinforcement Learning by Retaining Experiences. - Pedro Rocha Cachim, João Gomes, Rodrigo Ventura:
Autonomous orbit determination for satelite formations using relative sensing: observability analysis and optimization. - Mingxuan Liang, Kai Zhou:
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction. - Mustafa Toprak, Chiara Boldrini, Andrea Passarella, Marco Conti:
Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks. - Arka Talukdar, Monika Dagar, Prachi Gupta, Varun Menon:
Training Dynamic based data filtering may not work for NLP datasets. - Vladimir Pislyakov:
Self-citation and its impact on research evaluation: Literature review. Part I. - Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao:
Towards Zero-Label Language Learning. - Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay:
Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes. - Adel Memariani, Martin Glauer, Fabian Neuhaus, Till Mossakowski, Janna Hastings:
Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain. - Alexandre L. M. Levada:
On the curvatures of Gaussian random field manifolds. - Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay:
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. - Shuyang Cao, Lu Wang:
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. - Moumita Bhattacharya, Dai-Yin Lu, Shibani M. Kudchadkar, Gabriela Villarreal Greenland, Prasanth Lingamaneni, Celia P. Corona-Villalobos, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, Hagit Shatkay, Maria Roselle Abraham:
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model). - Kaan Gökcesu, Hakan Gökcesu:
Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits. - Zhihao Zhao, Samuel Cheng:
Capsule networks with non-iterative cluster routing. - Shijie Gao, Nicola Bezzo:
A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning. - Qun Wang, Fuhui Zhou, Han Hu, Rose Qingyang Hu:
Energy-Efficient Design for IRS-Assisted MEC Networks with NOMA. - Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey:
Multiscale Manifold Warping. - Eric Cañas, Alba M. G. Garcia, Anaís Garrell, Cecilio Angulo:
Baby Robot: Improving the Motor Skills of Toddlers. - Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang:
ARCA23K: An audio dataset for investigating open-set label noise. - Fangzhou Xie:
Predicting Ethnicity from Names with rethnicity: Methodology and Application. - Charles Champagne Cossette, Mohammed Shalaby, David Saussié, James Richard Forbes:
Localization with Directional Coordinates. - Maurits van der Goes:
Scaling Enterprise Recommender Systems for Decentralization. - Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso:
UPV at CheckThat! Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims. 2021 - Ipek Baris Schlicht, Angel Felipe Magnossão de Paula:
Unified and Multilingual Author Profiling for Detecting Haters. - John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. - Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulic:
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. - Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Alfonso Pierantonio:
A domain-specific modeling and analysis environment for complex IoT applications. - Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli:
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance. - Sanyukta Deshpande, Milind G. Sohoni:
Wages and Utilities in a Closed Economy- A StrategicAnalysis. - Nickolaos Koroniotis, Nour Moustafa, Benjamin P. Turnbull, Francesco Schiliro, Praveen Gauravaram, Helge Janicke:
A Deep Learning-based Penetration Testing Framework for Vulnerability Identification in Internet of Things Environments. - Elizabeth Dinella, Shuvendu K. Lahiri, Todd Mytkowicz, Gabriel Ryan:
Neural Unit Test Suggestions. - Yihang Shen, Carl Kingsford:
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection. - Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. - Te-Yi Kan, Ronald Y. Chang, Feng-Tsun Chien:
Intelligent Reflecting Surfaces and Classical Relays: Coexistence and Co-Design. - Yuping Fan:
Job Scheduling in High Performance Computing. - Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio:
From None to Severe: Predicting Severity in Movie Scripts. - Andri Ashfahani, Mahardhika Pratama:
Unsupervised Continual Learning in Streaming Environments. - Benjamin Koh, Mojtaba Shahin, Annette Ong, Soo Ying Yeap, Priyanka Saxena, Manvendra Singh, Chunyang Chen:
Pandemic Software Development: The Student Experiences from Developing a COVID-19 Information Dashboard. - Muhammed Ali Sit, Bong-Chul Seo, Ibrahim Demir:
CNN-based Temporal Super Resolution of Radar Rainfall Products. - Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng:
POI Alias Discovery in Delivery Addresses using User Locations. - Xuecheng Xu, Cheng Wang, Yue Wang, Rong Xiong:
HiTMap: A Hierarchical Topological Map Representation for Navigation in Unknown Environments. - Abdullah Al Mehadi, Mirza Muntasir Nishat, Fahim Faisal, Ahmed Raza Hasan Bhuiyan, Mohyeu Hussain, Md Ashraful Hoque:
Design, Simulation and Feasibility Analysis of Bifacial Solar PV System in Marine Drive Road, Cox's Bazar. - Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park:
Semi-supervised Dense Keypointsusing Unlabeled Multiview Images. - Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. - Elena A. Petrova, Arseny M. Shur:
Abelian Repetition Threshold Revisited. - Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou:
Assisted Learning for Organizations with Limited Data. - Rubing Han, Shuonan Wu:
A monotone discretization for integral fractional Laplacian on bounded Lipschitz domains: Pointwise error estimates under Hölder regularity. - Chunhua Liu, Trevor Cohn, Lea Frermann:
Commonsense Knowledge in Word Associations and ConceptNet. - Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. - Aboli Marathe, Harsh Sakhrani, Saloni Parekh:
Investigating the Relationship Between World Development Indicators and the Occurrence of Disease Outbreaks in the 21st Century: A Case Study. - Haoxiang Huang, Yingjie Liu, Vigor Yang:
Neural Networks with Inputs Based on Domain of Dependence and A Converging Sequence for Solving Conservation Laws, Part I: 1D Riemann Problems. - Xinyu Zhao, Hao Yan, Zhiyong Hu, Dongping Du:
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction. - Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan:
Robust Physical-World Attacks on Face Recognition. - Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga, Fabrício Benevenuto, Robert West:
What do fact checkers fact-check when? - Ana Batinovic, Antun Ivanovic, Tamara Petrovic, Stjepan Bogdan:
A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration. - Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee, Usman A. Khan, Themistoklis Charalambous:
Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks. - André Meyer-Vitali, Wico Mulder, Maaike H. T. de Boer:
Modular Design Patterns for Hybrid Actors. - Youzhi Xiong, Sanshan Sun, Ning Wei, Li Liu, Zhongpei Zhang:
Spectral and Energy Efficiency of Multicell Massive MIMO With Variable-Resolution ADCs Over Correlated Rayleigh Fading Channels. - Chen Long, Wenxiao Zhang, Ruihui Li, Hao Wang, Zhen Dong, Bisheng Yang:
PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling. - Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. - Juha Kontinen, Arne Meier, Yasir Mahmood:
A Parameterized View on the Complexity of Dependence Logic. - Suyu Ma, Chunyang Chen, Hourieh Khalajzadeh, John C. Grundy:
Latexify Math: Mathematical Formula Markup Revision to Assist Collaborative Editing in Math Q&A Sites. - S. I. Nizovtsev, Sergey V. Shavetov, Anton A. Pyrkin:
Estimation Algorithm Non-Stationary Frequency of the Sinusoidal Signal. - Suhas Ranganath, Shibsankar Das, Sanjay Thilaivasan, Shipra Agarwal, Varun Shrivastava:
Grouping Search Results with Product Graphs in E-commerce Platforms. - Josef Jon, Michal Novák, João Paulo Aires, Dusan Varis, Ondrej Bojar:
CUNI systems for WMT21: Terminology translation Shared Task. - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. - Josef Jon, Michal Novák, João Paulo Aires, Dusan Varis, Ondrej Bojar:
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task. - Federico López, Martin Scholz, Jessica Yung, Marie Pellat, Michael Strube, Lucas Dixon:
Augmenting the User-Item Graph with Textual Similarity Models. - Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel:
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks. - Pasqua D'Ambra, Clara De Santis, Panayot S. Vassilevski, Luisa Cutillo:
Network Clustering by Embedding of Attribute-augmented Graphs. - Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin:
Learning Natural Language Generation from Scratch. - Ke Wang, Hengyi Fei, Petar Kormushev:
Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model. - Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy:
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. - Mate Boban, Marco Giordani, Michele Zorzi:
Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems. - Thomas Leimkühler, George Drettakis:
FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold. - Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck:
Visually Connecting Historical Figures Through Event Knowledge Graphs. - Tomás Ramírez, Carlos Mosquera, Nader Alagha:
Flexible User Mapping for Radio Resource Assignment in Advanced Satellite Payloads. - Arianna Pipitone, Alessandro Geraci, Antonella D'Amico, Valeria Seidita, Antonio Chella:
Robot's Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation. - Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber:
Explaining Convolutional Neural Networks by Tagging Filters. - Julius Taylor, Eleni Nisioti, Clément Moulin-Frier:
Learning to Improve Representations by Communicating About Perspectives. - Iztok Savnik, Kiyoshi Nitta, Riste Skrekovski, Nikolaus Augsten:
Statistics of Knowledge Graphs Based On The Conceptual Schema. - Sander Bijl de Vroe, Liane Guillou, Milos Stanojevic, Nick McKenna, Mark Steedman:
Modality and Negation in Event Extraction. - Huanyu Zhou, Qingjie Liu, Yunhong Wang:
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening. - Jonas Bokstaller, Costanza Maria Improta:
Dynamic Gesture Recognition. - Thomas Griebel, Dominik Authaler, Markus Horn, Matti Henning, Michael Buchholz, Klaus Dietmayer:
Anomaly Detection in Radar Data Using PointNets. - Wei Chen, Jianshu Zhou, Shing Shin Cheng, Yiang Lu, Fangxun Zhong, Yuan Gao, Yaqing Wang, Lingbin Xue, Michael C. F. Tong, Yun-Hui Liu:
Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling. - Gabriel Amaral, Alessandro Piscopo, Lucie-Aimée Kaffee, Odinaldo Rodrigues, Elena Simperl:
Assessing the quality of sources in Wikidata across languages: a hybrid approach. - Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai:
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow. - Inaki Val, Oscar Seijo, Raul Torrego, Armando Astarloa:
IEEE 802.1AS Clock Synchronization Performance Evaluation of an Integrated Wired-Wireless TSN Architecture. - Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel:
Background-Foreground Segmentation for Interior Sensing in Automotive Industry. - Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman:
Incorporating Temporal Information in Entailment Graph Mining. - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Architecture and Performance Evaluation of Distributed Computation Offloading in Edge Computing. - Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
ElasticFace: Elastic Margin Loss for Deep Face Recognition. - Jorge Ramírez, Auday Berro, Marcos Báez, Boualem Benatallah, Fabio Casati:
Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots. - Charl Maree, Christian W. Omlin:
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality. - Indro Spinelli, Simone Scardapane, Aurelio Uncini:
A Meta-Learning Approach for Training Explainable Graph Neural Networks. - Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve:
Asymptotic Optimality for Decentralised Bandits. - Francesco Bonaldi, Jérôme Droniou, Roland Masson, Antoine Pasteau:
Energy-stable discretization of two-phase flows in deformable porous media with frictional contact at matrix-fracture interfaces. - Zhizhang Wu, Zhiwen Zhang:
Convergence analysis of an operator-compressed multiscale finite element method for Schrödinger equations with multiscale potentials. - Vincent Mallet, Carlos G. Oliver, William L. Hamilton:
Edge-similarity-aware Graph Neural Networks. - Meysam Vakili, Masoumeh Rezaei:
Incremental Learning Techniques for Online Human Activity Recognition. - Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano G. Pendão, Elena Simona Lohan, Jari Nurmi, Adriano J. C. Moreira:
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets. - Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi:
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? - Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Algorithmic Fairness Verification with Graphical Models. - Murdoch Gabbay, Arvid Jakobsson, Kristina Sojakova:
Money grows on (proof-)trees: the formal FA1.2 ledger standard. - Soundes Marzougui, Nils Wisiol, Patrick Gersch, Juliane Krämer, Jean-Pierre Seifert:
Machine-Learning Side-Channel Attacks on the GALACTICS Constant-Time Implementation of BLISS. - Yueyue Su, Nan Qi, Zanqi Huang, Rugui Yao, Luliang Jia:
Cooperative Anti-Jamming for UAV Networks: A Local Altruistic Game Approach. - Quentin Cohen-Solal:
Completeness of Unbounded Best-First Game Algorithms. - Mathieu Godbout, Maxime Heuillet, Sharath Chandra, Rupali Bhati, Audrey Durand:
CARL: Conditional-value-at-risk Adversarial Reinforcement Learning. - Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross:
Energy Efficient Sampling Policies for Edge Computing Feedback Systems. - Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav:
Knowledge Graph Question Answering via SPARQL Silhouette Generation. - Junya Morita, Thanakit Pitakchokchai, Giri Basanta Raj, Yusuke Yamamoto, Hiroyasu Yuhashi, Teppei Koguchi:
Regulating Ruminative Web-browsing Based on the Counterbalance Modeling Approach. - Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim:
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. - Philip Osborne, Heido Nõmm, André Freitas:
A Survey of Text Games for Reinforcement Learning informed by Natural Language. - Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser:
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI. - David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero:
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions. - Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo:
On the Convergence of Tsetlin Machines for the AND and the OR Operators. - Michael A. Kraus, Irfan Custovic, Walter Kaufmann:
Struct-MRT: Immersive Learning and Teaching of Design and Verification in Structural Civil Engineering using Mixed Reality. - Alban Odot, Ryadh Haferssas, Stéphane Cotin:
DeepPhysics: a physics aware deep learning framework for real-time simulation. - Bryar Ahmad Hassan, Tarik A. Rashid, Hozan K. Hamarashid:
A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star. - Philip E. Pare, Axel Janson, Sebin Gracy, Ji Liu, Henrik Sandberg, Karl Henrik Johansson:
Multi-Layer SIS Model with an Infrastructure Network. - Jia Bi, Jonathon S. Hare, Geoff V. Merrett:
GhostShiftAddNet: More Features from Energy-Efficient Operations. - Maria Kaselimi:
Machine learning methods for modelling and analysis of time series signals in geoinformatics. - Felix Last, Ceren Yeni, Ulf Schlichtmann:
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. - Zhaoyuan Shi, Xianzhong Xie, Huabing Lu, Helin Yang, Jun Cai, Zhiguo Ding:
Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications. - Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. - Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann:
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. - Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne:
Automatic Generation of Board Game Manuals. - Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy:
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems. - Aleksey Staroverov, Aleksandr I. Panov:
Landmark Policy Optimization for Object Navigation Task. - Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He:
A mixed-methods ethnographic approach to participatory budgeting in Scotland. - Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zhengyu Niu:
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation. - Walter F. Mascarenhas:
Solving systems of inequalities in two variables with floating point arithmetic. - Tobias Olsson, Morgan Ericsson, Anna Wingkvist:
To Automatically Map Source Code Entities to Architectural Modules with Naive Bayes. - Stavros Shiaeles, Nicholas Kolokotronis, Emanuele Bellini:
IoT Vulnerability Data Crawling and Analysis. - Hemalatha Eedi, Sahith Karra, Sathya Peri, Neha Ranabothu, Rahul Utkoor:
An Improved and Optimized Practical Non-Blocking PageRank Algorithm for Massive Graphs. - Christos Constantinides, Stavros Shiaeles, Bogdan V. Ghita, Nicholas Kolokotronis:
A Novel Online Incremental Learning Intrusion Prevention System. - Xinzhu Liu, Di Guo, Huaping Liu, Fuchun Sun:
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge. - Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka:
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter. - Franz Thaler, Christian Payer, Martin Urschler, Darko Stern:
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization. - Dmitriy Serdyuk, Otavio Braga, Olivier Siohan:
Audio-Visual Speech Recognition is Worth 32×32×8 Voxels. - Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. - Jan Hartman, Davorin Kopic:
Scaling TensorFlow to 300 million predictions per second. - Johannes Sorger, Alessio Arleo, Peter Kán, Wolfgang Knecht, Manuela Waldner:
Egocentric Network Exploration for Immersive Analytics. - Umberto Martínez-Peñas, Sven Puchinger:
Maximum Sum-Rank Distance Codes over Finite Chain Rings. - Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song:
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. - Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray:
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. - Muhammad Ali, Stavros Shiaeles, Nathan L. Clarke, Dimitrios Kontogeorgis:
A proactive malicious software identification approach for digital forensic examiners. - Clément Rolinat, Mathieu Grossard, Saifeddine Aloui, Christelle Godin:
Human Initiated Grasp Space Exploration Algorithm for an Underactuated Robot Gripper Using Variational Autoencoder. - Bertrand Teguia Tabuguia, Wolfram Koepf:
On the representation of non-holonomic power series. - Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight:
MeetDot: Videoconferencing with Live Translation Captions. - Jean-Marie John-Mathews:
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability. - Yue Deng:
Recommender systems based on graph embedding techniques: A comprehensive review. - Luciano Gualà, Stefano Leucci, Isabella Ziccardi:
Resilient Level Ancestor, Bottleneck, and Lowest Common Ancestor Queries in Dynamic Trees. - Alexander Dunlap, Jean-Christophe Mourrat:
Local versions of sum-of-norms clustering. - Xuanting Hao, Shengbo Gao, Lijie Sheng, Jicong Zhang:
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation. - Arkady Arkhangorodsky, Scot Fang, Victoria Knight, Ajay Nagesh, Maria Ryskina, Kevin Knight:
Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play. - Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Y. Zhao:
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World. - Mauro Lourenço Pedra, Mônica Ferreira da Silva, Leonardo Guerreiro Azevedo:
DevOps Adoption: Eight Emergent Perspectives. - Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder:
JobBERT: Understanding Job Titles through Skills. - Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. - Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel:
R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection. - Syed Muhammad Raza, Syed Muhammad Ghazi Hassan, Syed Ali Hassan, Soo Young Shin:
Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network. - Alexander Kovalenko, Pavel Kordík, Magda Friedjungová:
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. - Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, Tie-Yan Liu:
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. - Jacob Fisher, Remco Chang, Eugene Wu:
Automatic Y-axis Rescaling in Dynamic Visualizations. - Cagri Kilic, Bernardo Martinez R. Jr., Christopher A. Tatsch, Jared J. Beard, Jared Strader, Shounak Das, Derek W. Ross, Yu Gu, Guilherme A. S. Pereira, Jason N. Gross:
NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations. - Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
On Achievable Degrees of Freedom for the Frequency-Selective K-User Interference Channel in the Presence of an Instantaneous Relay. - Florian Tschopp, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Superquadric Object Representation for Optimization-based Semantic SLAM. - Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li:
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR. - Sridhar Mahadevan:
Asymptotic Causal Inference. - Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu:
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? - Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí:
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. - Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler:
Parallel Algorithms for Finding Large Cliques in Sparse Graphs. - Seulkee Baek, Mario Carneiro, Marijn J. H. Heule:
A Flexible Proof Format for SAT Solver-Elaborator Communication. - Vinicius Monteiro de Lira, Fabiano Pallonetto, Lorenzo Gabrielli, Chiara Renso:
Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs. - Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, Kevin Gimpel:
On Generalization in Coreference Resolution. - Jesse David Dinneen, Charles-Antoine Julien:
The ubiquitous digital file: A review of file management research. - Anas W. Alhashimi, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal:
BFAR-Bounded False Alarm Rate detector for improved radar odometry estimation. - Szymon Mikler:
Reproducibility Study: Comparing Rewinding and Fine-tuning in Neural Network Pruning. - Helen Bubinger, Jesse David Dinneen:
Actionable Approaches to Promote Ethical AI in Libraries. - Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
Making Memristive Processing-in-Memory Reliable. - Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease:
The Case for Claim Difficulty Assessment in Automatic Fact Checking. - Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. - Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang:
Modeling Regime Shifts in Multiple Time Series. - Nicholas Albergo, Vivek Rathi, John-Paul Ore:
Understanding Xacro Misunderstandings. - Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran:
Configuring Multiple Instances with Multi-Configuration. - Ming-Jun Lai, Jinsil Lee:
A Multivariate Spline based Collocation Method for Numerical Solution of Partial Differential Equations. - Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze:
BERT Cannot Align Characters. - Nguyen Luong Tran, Duong Minh Le, Dat Quoc Nguyen:
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese. - Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts:
BabelCalib: A Universal Approach to Calibrating Central Cameras. - Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin:
Neural forecasting at scale. - Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer:
A Plug-and-Play Method for Controlled Text Generation. - Fabrizio d'Amore, Alessandro Serpi:
Traitor-Proof PDF Watermarking. - Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin:
Generalization in Mean Field Games by Learning Master Policies. - Ziming Liu, Max Tegmark:
Machine-learning hidden symmetries. - Jonas Bokstaller, Georgios Patoulidis, Aygul Zagidullina:
Model Bias in NLP - Application to Hate Speech Classification using transfer learning techniques. - Hira Ahmad, Muhammad Ahtazaz Ahsan, Adnan Noor Mian:
A Bibliometric Analysis of the Surveys in Blockchain. - Yuhang Jia, Ying Cui, Wuyang Jiang:
Robust Optimization of Instantaneous Beamforming and Quasi-static Phase Shifts in an IRS-assisted Multi-Cell Network. - Corinna Cortes, Neil D. Lawrence:
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment. - Luke Gessler, Shabnam Behzad, Yang Janet Liu, Siyao Peng, Yilun Zhu, Amir Zeldes:
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection. - Luke Gessler, Nathan Schneider:
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTology. - Meng Cao, Yue Dong, Jackie Chi Kit Cheung:
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. - Gohar Sargsyan, Nicolas Castellon, Raymond Binnendijk, Peter Cozijnsen:
Blockchain Security by Design Framework for Trust and Adoption in IoT Environment. - Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. - Sabrina Guastavino, Michele Piana, Marco Tizzi, Federico Cassola, Antonio Iengo, Davide Sacchetti, Enrico Solazzo, Federico Benvenuto:
Prediction of severe thunderstorm events with ensemble deep learning and radar data. - Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Chris Meissen, H. Eric Tseng, Francesco Borrelli:
Stochastic MPC with Multi-modal Predictions for Traffic Intersections. - Olga Kononova, Dmitry Prokudin, Julia Ryabysko:
The Vision and the Perspective of Digital Tourism. - Ciara Blackledge, Amir Atapour-Abarghouei:
Transforming Fake News: Robust Generalisable News Classification Using Transformers. - Madhusudan Srinivasan, Upulee Kanewala:
Metamorphic Relation Prioritization for Effective Regression Testing. - Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki:
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. - Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics. - Adam White, Artur S. d'Avila Garcez:
Counterfactual Instances Explain Little. - Benjamin Decardi-Nelson, Jinfeng Liu:
Robust economic model predictive control with zone tracking. - Nupoor Gandhi, Anjalie Field, Yulia Tsvetkov:
Improving Span Representation for Domain-adapted Coreference Resolution. - Ingo Wald:
GPGPU-Parallel Re-indexing of Triangle Meshes with Duplicate-Vertex and Unused-Vertex Removal. - Xiaoyuan Fan, Daniel Moscovitz, Liang Du, Walid Saad:
A Data-Driven Democratized Control Architecture for Regional Transmission Operators. - Peter J. Bevan, Amir Atapour Abarghouei:
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification. - Hammurabi Mendes, Bryce Wiedenbeck, Aidan O'Neill:
Seriema: RDMA-based Remote Invocationwith a Case-Study on Monte-Carlo Tree Search. - Daniel Adolfsson, Martin Magnusson, Qianfang Liao, Achim J. Lilienthal, Henrik Andreasson:
CorAl - Are the point clouds Correctly Aligned? - Jessica H. Tseng, Gianfranco Bilardi, Kattamuri Ekanadham, Manoj Kumar, José E. Moreira, Pratap C. Pattnaik:
Encrypted Data Processing. - Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani:
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. - Abdulrahman Aloraini, Massimo Poesio:
Data Augmentation Methods for Anaphoric Zero Pronouns. - Gabriele Moreno Berton, Carlo Masone, Valerio Paolicelli, Barbara Caputo:
Viewpoint Invariant Dense Matching for Visual Geolocalization. - Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia:
iRNN: Integer-only Recurrent Neural Network. - Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. - Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter:
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. - Chiara Boldrini, Raffaele Bruno, Haitam Laarabi:
Weak Signals in the Mobility Landscape: Car Sharing in Ten European Cities. - Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang:
Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. - Lifeng Zhou, Vijay Kumar:
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks. - Josephine Monica, Wei-Lun Chao, Mark E. Campbell:
Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. - Tao Pang, Russ Tedrake:
Easing Reliance on Collision-free Planning with Contact-aware Control. - Jilei Yang:
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees. - Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. - Jinho D. Choi, Gregor Williamson:
StreamSide: A Fully-Customizable Open-Source Toolkit for Efficient Annotation of Meaning Representations. - Muhammad Ali Farooq, Peter Corcoran, Cosmin Rotariu:
Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS). - Guojun Xiong, Jian Li, Rahul Singh:
Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits. - Lanfa Frank Wang, Danjue Li:
SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver. - Gregor Williamson, Patrick Elliott, Yuxin Ji, Jinho D. Choi:
Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope. - Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized dynamic cognitive hierarchy models for strategic driving behavior. - Dominic Widdows, Chris Brew:
Language Identification with a Reciprocal Rank Classifier. - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. - Amin Eslami Abyane, Hadi Hemmati:
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms. - Mark de Berg, Sándor Kisfaludi-Bak, Morteza Monemizadeh, Leonidas Theocharous:
Clique-Based Separators for Geometric Intersection Graphs. - Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. - Scott Workman, Hunter Blanton:
Augmenting Depth Estimation with Geospatial Context. - Gwangbin Bae, Ignas Budvytis, Roberto Cipolla:
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation. - Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura:
On the Importance of Distractors for Few-Shot Classification. - Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess:
Efficient shape mapping through dense touch and vision. - Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. - Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller:
A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning. - Hui Yin, Xiangyu Song, Shuiqiao Yang, Guangyan Huang, Jianxin Li:
Representation Learning for Short Text Clustering. - Mohammad Khairul Bashar, Jaykumar Vaidya, Antik Mallick, R. S. Surya Kanthi, Shamiul Alam, Nazmul Amin, Chonghan Lee, Feng Shi, Ahmedullah Aziz, Vijaykrishnan Narayanan, Nikhil Shukla:
An Oscillator-based MaxSAT solver. - Dawei Zhou, Nannan Wang, Tongliang Liu, Bo Han:
Modelling Adversarial Noise for Adversarial Defense. - Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, Sebastian A. Scherer:
AirDOS: Dynamic SLAM benefits from Articulated Objects. - Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. - Ievgeniia Kuzminykh, Bogdan Ghita, Stavros Shiaeles:
Comparative Analysis of Cryptographic Key Management Systems. - Ievgeniia Kuzminykh, Dan Shevchuk, Stavros Shiaeles, Bogdan Ghita:
Audio Interval Retrieval using Convolutional Neural Networks. - Jia Chuan A. Tan, Wesley P. Chan, Nicole L. Robinson, Elizabeth A. Croft, Dana Kulic:
A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS. - Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou:
Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. - Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How:
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. - Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti:
Physics-based Human Motion Estimation and Synthesis from Videos. - Wilson R. Lacerda Júnior, S. A. M. Martins, Erivelton G. Nepomuceno:
Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification. - Ludan Ruan, Qin Jin:
Survey: Transformer based Video-Language Pre-training. - Hadi AlZayer, Hubert Lin, Kavita Bala:
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning. - Rajendra Nagar:
Robust Estimation of Reflection Symmetry in Noisy and Partial 3D Point Clouds. - Deepika Varshney, Dinesh Kumar Vishwakarma:
A Unified Approach of Detecting Misleading Images via Tracing its Instances on Web and Analysing its Past Context for the Verification of Content. - Yeow Meng Chee, Michal Horovitz, Alexander Vardy, Van Khu Vu, Eitan Yaakobi:
Endurance-Limited Memories: Capacity and Codes. - Junheng Li, Junchao Ma, Quan Nguyen:
Balancing Control and Pose Optimization for Wheel-legged Robots Navigating Uneven Terrains. - Yuan Yuan, Yi Sun, Yuanlin Zhang:
MESSFN : a Multi-level and Enhanced Spectral-Spatial Fusion Network for Pan-sharpening. - Igor Mackarov:
IgNet. A Super-precise Convolutional Neural Network. - Dazhuan Xu, Nan Wang:
The Theoretical Limit of Radar Target Detection. - Theodore W. Grunberg, Domitilla Del Vecchio:
Identifiability of Chemical Reaction Networks with Intrinsic and Extrinsic Noise from Stationary Distributions. - Jackson Sargent, Melanie Weber:
Identifying biases in legal data: An algorithmic fairness perspective. - Yuwen Li, Zhengqi Liu, Ludmil T. Zikatanov:
Neural networks with trainable matrix activation functions. - Ahmet Kurt, Suat Mercan, Enes Erdin, Kemal Akkaya:
3-of-3 Multisignature Approach for Enabling Lightning Network Micro-payments on IoT Devices. - Sai Vidyaranya Nuthalapati, Anirudh Tunga:
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications. - Md Tamjid Hossain, Shafkat Islam, Shahriar Badsha, Haoting Shen:
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning. - Yanjiao Chen, Yijie Bai, Richard Mitev, Kaibo Wang, Ahmad-Reza Sadeghi, Wenyuan Xu:
FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants. - Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation. - Md Tamjid Hossain, Shahriar Badsha, Haoting Shen:
Privacy, Security, and Utility Analysis of Differentially Private CPES Data. - Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen:
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment. - Md Tamjid Hossain, Shahriar Badsha, Haoting Shen:
PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0. - Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. - Thai Duong, Nikolay Atanasov:
Learning Adaptive Control for SE(3) Hamiltonian Dynamics. - Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams:
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. - Ahmed S. Alahmed, Lang Tong:
On Net Energy Metering X: Optimal Prosumer Decisions, Social Welfare, and Cross-subsidies. - Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee:
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia. - Santiago Badia, Jérôme Droniou, Liam Yemm:
Conditioning of a Hybrid High-Order scheme on meshes with small faces. - Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang, Lei Li:
Learning Kernel-Smoothed Machine Translation with Retrieved Examples. - Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson:
Oriented surface points for efficient and accurate radar odometry. - Joachim Wehler:
Perpetual Free-choice Petri nets are lucent - proof of a theorem of van der Aalst using CP-exhaustions. - A. Borkovic, Benjamin Marussig, G. Radenkovic:
Geometrically exact static isogeometric analysis of an arbitrarily curved spatial Bernoulli-Euler beam. - Gaëlle Candel, David Naccache:
Generating Local Maps of Science using Deep Bibliographic Coupling. - Mohammad Javad Salehi, Hamidreza Bakhshzad Mahmoodi, Antti Tölli:
A Low-Subpacketization High-Performance MIMO Coded Caching Scheme. - Tao Zhuo, Qiang Huang, Mohan S. Kankanhalli:
Unsupervised Abstract Reasoning for Raven's Problem Matrices. - Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn:
Negation-Instance Based Evaluation of End-to-End Negation Resolution. - Zhijian Hou, Chong-Wah Ngo, Wing Kwong Chan:
CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval. - Meghdad Ghari:
A temporal logic of epistemic and normative justifications, with an application to the Protagoras paradox. - Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. - Alexey Kutalev, Alisa Lapina:
Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning. - Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. - Alessandra Vizzaccaro, Andrea Opreni, Loïc Salles, Attilio Frangi, Cyril Touzé:
High order direct parametrisation of invariant manifolds for model order reduction of finite element structures: application to large amplitude vibrations and uncovering of a folding point. - Elaine Zosa, Ravi Shekhar, Mladen Karan, Matthew Purver:
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model. - Emma L. Roscow, Raymond Chua, Rui Ponte Costa, Matt W. Jones, Nathan F. Lepora:
Learning offline: memory replay in biological and artificial reinforcement learning. - Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova:
WorldKG: A World-Scale Geographic Knowledge Graph. - Alexander Black, Tu Bui, Simon Jenni, Vishy Swaminathan, John P. Collomosse:
VPN: Video Provenance Network for Robust Content Attribution. - Jan Nordström:
Nonlinear and Linearised Primal and Dual Initial Boundary Value Problems: When are they Bounded? How are they Connected? - Stephen Clark:
Something Old, Something New: Grammar-based CCG Parsing with Transformer Models. - Guosheng Feng, Chunnan Wang, Hongzhi Wang:
Search For Deep Graph Neural Networks. - Hirotoshi Yasuoka:
Computational Complexity of Quadratic Unconstrained Binary Optimization. - Rochelle Choenni, Ekaterina Shutova, Robert van Rooij:
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? - Yi Yang, Ying Wu, Xiangyu Chang, Mei Li:
Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making. - Mingyao Cui, Linglong Dai, Robert Schober, Lajos Hanzo:
Near-Field Wideband Beamforming for Extremely Large Antenna Array. - Feng Zhang, Xiatian Zhu, Chen Wang:
Single Person Pose Estimation: A Survey. - Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoïts, Samuel W. F. Earp, Nakarin Sritrakool:
LOTR: Face Landmark Localization Using Localization Transformer. - Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. - Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Graph Neural Networks for Graph Drawing. - Yuvraj Singh Malhi, Navneet Gupta:
Comparison of Neural Network based Soft Computing Techniques for Electromagnetic Modeling of a Microstrip Patch Antenna. - Solveig Flaig, Gero Junike:
Scenario generation for market risk models using generative neural networks. - Mahyar Tourchi Moghaddam, Moamin B. Abughazala, Vittorio Cortellessa, Antinisca Di Marco, Henry Muccini, Fabrizio Rossi, Karthik Vaidhyanathan:
Architecture Design for Human-Driven Systems. - Alex Davidson, Peter Snyder, E. B. Quirk, Joseph Genereux, Benjamin Livshits:
STAR: Distributed Secret Sharing for Private Threshold Aggregation Reporting. - Gergo Ferenc Ignéczi, Erno Horváth, Daniel Pup:
Implementation of a self-developed model predictive control scheme for vehicle parking maneuvers. - Carlos Campos, Juan D. Tardós:
Scale-aware direct monocular odometry. - Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. - Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra:
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations. - Blazej Leporowski, Casper Hansen, Alexandros Iosifidis:
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series. - Venkata Satya Sai Ajay Daliparthi:
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation. - Tim Krappel, Alex Bogun, Damian Borth:
Heterogeneous Ensemble for ESG Ratings Prediction. - Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. - Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff:
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. - S. Raja, G. V. Sumukha Bharadwaj:
On the Hardness of the Determinant: Sum of Regular Set-Multilinear Circuits. - Sohir Maskey, Ron Levie, Gitta Kutyniok:
Transferability of Graph Neural Networks: an Extended Graphon Approach. - Weihua Liu, Xiabi Liu:
A Novel Structured Natural Gradient Descent for Deep Learning. - Johannes Höhmann, Achim Rettinger, Kai Kugler:
InvBERT: Text Reconstruction from Contextualized Embeddings used for Derived Text Formats of Literary Works. - Barbara Arbanas Ferreira, Tamara Petrovic, Stjepan Bogdan:
Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Teams. - Ramon Sanabria, Hao Tang, Sharon Goldwater:
On the Difficulty of Segmenting Words with Attention. - Alexander Fengler, Osman Musa, Peter Jung, Giuseppe Caire:
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver: Interference Cancellation and Power Control. - Stijn Henckens, Mostafa Mohajeri Parizi, Giovanni Sileno:
Enriching a CP-Net by Asymmetric Merging. - Xingyu Liu, Shun Iwase, Kris M. Kitani:
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. - Saurabh Kamal, Sahil Sharma:
A Comprehensive Review on Summarizing Financial News Using Deep Learning. - Marco Grassia, Manlio De Domenico, Giuseppe Mangioni:
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case. - Viny Saajan Victor, Peter Neigel:
Survey on Semantic Stereo Matching / Semantic Depth Estimation. - M. Arrutselvi, E. Natarajan:
Virtual element method for the system of time dependent nonlinear convection-diffusion-reaction equation. - Ivan Vulic, Pei-Hao Su, Sam Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. - Xingyu Liu, Shun Iwase, Kris M. Kitani:
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation. - Simon Ståhlberg, Blai Bonet, Hector Geffner:
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits. - Derya Akbaba, Jack Wilburn, Main T. Nance, Miriah Meyer:
Manifesto for Putting 'Chartjunk' in the Trash 2021! - Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement. - Muhammad Usman, Nauman Bin Ali, Claes Wohlin:
A Quality Assessment Instrument for Systematic Literature Reviews in Software Engineering. - Taeyeong Choi, Owen Would, Adrian Salazar Gomez, Grzegorz Cielniak:
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. - Xiuhong Wei, Linglong Dai, Yajun Zhao, Guanghui Yu, Xiangyang Duan:
Codebook Design and Beam Training for Extremely Large-Scale RIS: Far-Field or Near-Field? - Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh:
Knowledge Distillation with Noisy Labels for Natural Language Understanding. - Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim:
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. - Thu-Trang Nguyen, Kien-Tuan Ngo, Son Nguyen, Hieu Dinh Vo:
A Variability Fault Localization Approach for Software Product Lines. - Marco Conti, Chiara Boldrini, Salil S. Kanhere, Enzo Mingozzi, Elena Pagani, Pedro M. Ruiz, Mohamed F. Younis:
From MANET to people-centric networking: milestones and open research challenges. - Mengxi Wu, Hao Huang, Yi Fang:
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. - Alexandros Eskenazis, Paata Ivanisvili:
Learning low-degree functions from a logarithmic number of random queries. - Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart:
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. - Lukas Schmid, Jeffrey A. Delmerico, Johannes L. Schönberger, Juan I. Nieto, Marc Pollefeys, Roland Siegwart, César Cadena:
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency. - Bruno Pedraça de Souza, Cláudia Maria Lima Werner:
Challenges and Opportunities on Using Games to Support IoT Systems Teaching. - Shengzhe Hou, Bruce H. Thomas:
VRMenuDesigner: A toolkit for automatically generating and modifying VR menus. - Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov:
Long-Term Exploration in Persistent MDPs. - Dhananjay Phansalkar, Kerstin Weinberg, Michael Ortiz, Sigrid Leyendecker:
A spatially adaptive phase-field model of fracture. - Badr M. Abdullah, Iuliia Zaitova, Tania Avgustinova, Bernd Möbius, Dietrich Klakow:
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings. - Zong-Ming Lin, Cheng-Yang Chang, Chin-Yu Hu, Yung-Yuan Chen:
Intelligent Traffic Control System by Using Image Information. - Mario Ricchiuto, Davide Torlo:
Analytical travelling vortex solutions of hyperbolic equations for validating very high order schemes. - Xinyu Yu, Mi Lin, Jiangping Lu, Linlin Ou:
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram. - Gary Koplik, Ashlee Valente:
The Parallel Coordinates Plot Revisited: Visual Extensions from Hive Plots, Heterogeneous Correlations, and an Exploration of Covid-19 Data in the United States. - Nikolay Bogoychev, Jelmer van der Linde, Kenneth Heafield:
TranslateLocally: Blazing-fast translation running on the local CPU. - Jitao Xu, François Yvon:
One Source, Two Targets: Challenges and Rewards of Dual Decoding. - Hassan Abdelraouf, Fahad Albalawi, Eric Feron:
On Linear Time-Invariant Systems Analysis via A Single Trajectory: A Linear Programming Approach. - Stein Stroobants, Julien Dupeyroux, Guido de Croon:
Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors. - Martin Dvorak, Vladimir Kolmogorov:
Generalized minimum 0-extension problem and discrete convexity. - Martin Redmann, Nahid Jamshidi:
Gramian-based model reduction for unstable stochastic systems. - Tin Lai, Fabio Ramos:
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph. - Shirajus Salekin Nabil, Md. Sabbir Alam Pran, Ali Abrar Al Haque, Narayan Ranjan Chakraborty, Mohammad Jabed Morshed Chowdhury, Md. Sadek Ferdous:
Blockchain-based Covid Vaccination Registration and Monitoring. - Gillis Hermans, Thomas Winters, Luc De Raedt:
Shape Inference and Grammar Induction for Example-based Procedural Generation. - Chi Zhang, Chaolin Song, Abdollah Shafieezadeh:
Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy. - Liane Guillou, Sander Bijl de Vroe, Mark Johnson, Mark Steedman:
Blindness to Modality Helps Entailment Graph Mining. - Elisa Calzola, Elisabetta Carlini, Xavier Dupuis, Francisco J. Silva:
A semi-Lagrangian scheme for Hamilton-Jacobi-Bellman equations with oblique boundary conditions. - Johann Stockinger, Bernhard Haslhofer, Pedro Moreno-Sanchez, Matteo Maffei:
Pinpointing and Measuring Wasabi and Samourai CoinJoins in the Bitcoin Ecosystem. - Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Brian Y. Lim:
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. - Haoyan Liu, Yanming Liu, Min Yang:
A Low Complexity MAP Detector for OTFS Modulation in Logarithmic Domain. - Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis:
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets. - Fernando Pedraza, Mari Kobayashi, Giuseppe Caire:
Beam Refinement and User State Acquisition via Integrated Sensing and Communication with OFDM. - Tian Yun, Chen Sun, Ellie Pavlick:
Does Vision-and-Language Pretraining Improve Lexical Grounding? - (Withdrawn) Audiomer: A Convolutional Transformer for Keyword Spotting.
- Mike Pereira, Annika Lang, Balázs Kulcsár:
Short-term traffic prediction using physics-aware neural networks. - Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger:
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. - Flor Miriam Plaza del Arco, Sercan Halat, Sebastian Padó, Roman Klinger:
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language. - Pushkar Jajoria, Florian Krenn, Aurel Mäder:
Towards a computational definition of the tresillo rhythm and its tracing in popular music. - Abduallah A. Mohamed, Huancheng Chen, Zhangyang Wang, Christian G. Claudel:
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs. - Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang:
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. - Vandad Imani, Mithilesh Prakash, Marzieh Zare, Jussi Tohka:
Comparison of single and multitask learning for predicting cognitive decline based on MRI data. - Carlota Villasante Marcos:
Artificial Intelligence Edge Applications in 5G Networks. - Peng Jiang, Philip R. Osteen, Srikanth Saripalli:
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator. - Mingxiong Zhao, HuiQi Bao, Li Yin, Jianping Yao, Tony Q. S. Quek:
Secrecy Offloading Rate Maximization for Multi-Access Mobile Edge Computing Networks. - Dan Iter, David Grangier:
The Trade-offs of Domain Adaptation for Neural Language Models. - Anna Jenul, Stefan Schrunner, Runar Helin, Kristian Hovde Liland, Cecilia Marie Futsaether, Oliver Tomic:
Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data. - Minghao Li, Tengchao Lv, Lei Cui, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Zhoujun Li, Furu Wei:
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models. - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. - Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu:
From English to Signal Temporal Logic. - James Ferlez, Yasser Shoukry:
Assured Neural Network Architectures for Control and Identification of Nonlinear Systems. - Giorgia Azzurra Marson, Sébastien Andreina, Lorenzo Alluminio, Konstantin Munichev, Ghassan Karame:
MITOSIS: Practically Scaling Permissioned Blockchains. - Elis Stefansson, Karl Henrik Johansson:
Computing Complexity-aware Plans Using Kolmogorov Complexity. - María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler:
Learning PAC-Bayes Priors for Probabilistic Neural Networks. - Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn:
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. - Aws Albarghouthi:
Introduction to Neural Network Verification. - Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang:
CondNet: Conditional Classifier for Scene Segmentation. - James P. Oubre, Ignacio Carlucho, Corina Barbalata:
Data-driven controllers and the need for perception systems in underwater manipulation. - Seonho Park, Maciej Rysz, Kathleen M. Dipple, Panos M. Pardalos:
Homography augumented momentum constrastive learning for SAR image retrieval. - Michael Lampis, Valia Mitsou:
Fine-grained Meta-Theorems for Vertex Integrity. - Biao Zhang, Ankur Bapna, Melvin Johnson, Ali Dabirmoghaddam, Naveen Arivazhagan, Orhan Firat:
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents. - Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. - Kyriakos Georgiou, Guillaume Cluzel, Paul Butcher, Yannick Moy:
Security-Hardening Software Libraries with Ada and SPARK - A TCP Stack Use Case. - Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler, Dominik Dold:
Learning through structure: towards deep neuromorphic knowledge graph embeddings. - Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil:
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. - Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang:
Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision. - Layan Bahaidarah, Ethan Hung, Andreas Francisco De Melo Oliveira, Jyotsna Penumaka, Lukas Rosario, Ana Trisovic:
Toward Reusable Science with Readable Code and Reproducibility. - Abril Valeria Uriarte-Arcia, Juan Irving Vasquez-Gomez, Hind Taud, Andrés García-Floriano, Elias Ventura-Molina:
Coast Sargassum Level Estimation from Smartphone Pictures. - Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K. Madhava Krishna, Arun Kumar Singh:
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. - Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen:
Towards a Real-Time Facial Analysis System. - Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova:
Grammatical Profiling for Semantic Change Detection. - Kishan Chandan, Vidisha Kudalkar, Xiang Li, Shiqi Zhang:
ARROCH Augmented Reality for Robots Collaborating with a Human. - Elnaz Rezaian, Cheng Huang, Karthik Duraisamy:
Non-intrusive Balancing Transformation of Highly Stiff Systems with Lightly-damped Impulse Response. - Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov:
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing. - Emma J. McDonnell, Ping Liu, Steven M. Goodman, Raja S. Kushalnagar, Jon E. Froehlich, Leah Findlater:
Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group Captioning. - Gregory Kell, Iain James Marshall, Byron C. Wallace, André Jaun:
What Would it Take to get Biomedical QA Systems into Practice? - Hadjer Benkraouda, Jingyu Qian, Hung Quoc Tran, Berkay Kaplan:
Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability. - Nik Alexandrov, Dave Cliff, Charlie Figuero:
Exploring Coevolutionary Dynamics of Competitive Arms-Races Between Infinitely Diverse Heterogenous Adaptive Automated Trader-Agents. - SayedHassan Khatoonabadi, Shahriar Lotfi, Ayaz Isazadeh:
GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection. - Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. - Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy:
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. - Daniel Lemire, Wojciech Mula:
Transcoding Billions of Unicode Characters per Second with SIMD Instructions. - Manuel Alberto M. Ferreira, José António Filipe, José Moleiro Martins, Mário Nuno Mata, Pedro Neves Mata:
ICEV dismantling or recycling on a challenging environment. - Nicolas Fraiman, Zichao Li:
Classification with Nearest Disjoint Centroids. - Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. - Kudakwashe Dandajena, Isabella Margarethe Venter, Mehrdad Ghaziasgar, Reg Dodds:
Selecting Datasets for Evaluating an Enhanced Deep Learning Framework. - Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. - Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. - Mohammad Mahdavian, KangKang Yin, Mo Chen:
Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps. - Steffen van Bakel:
Adding Negation to Lambda Mu. - Shankar A. Deka, Donggun Lee, Claire J. Tomlin:
Towards cyber-physical systems robust to communication delays: A differential game approach. - Ian H. Magnusson, Scott E. Friedman:
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results. - Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova:
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. - Ashwin Pillay:
An Audio Synthesis Framework Derived from Industrial Process Control. - Elijah S. Lee, Ankit Vora, Armin Parchami, Punarjay Chakravarty, Gaurav Pandey, Vijay Kumar:
Infrastructure Node-based Vehicle Localization for Autonomous Driving. - Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. - Eduardo Mapurunga, Alexandre Sanfelice Bazanella:
Optimal excitation and measurement pattern for cascade networks. - K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning. - Gabriel Peres Nobre, Carlos H. G. Ferreira, Jussara M. Almeida:
A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp. - Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andrés Felipe Cruz-Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla:
Scalable and Efficient MoE Training for Multitask Multilingual Models. - Mohammad Rowshan, Emanuele Viterbo:
Efficient Partial Rewind of Polar Codes' Successive Cancellation-based Decoders for Re-decoding Attempts. - Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecular Optimization. - Ambareesh Revanur, Zhihua Li, Umur A. Ciftci, Lijun Yin, László A. Jeni:
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation. - Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao:
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. - Xiyang Zhang, Muhao Chen, Jonathan May:
Salience-Aware Event Chain Modeling for Narrative Understanding. - Steve Kommrusch, Martin Monperrus, Louis-Noël Pouchet:
Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules. - Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay:
Generating Compositional Color Representations from Text. - Sokratis Makrogiannis, Keni Zheng:
AI in Osteoporosis. - Zhenyu Zhang, Tao Guo, Meng Chen:
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder. - Neophytos Charalambides, Hessam Mahdavifar, Alfred O. Hero III:
Numerically Stable Binary Coded Computations. - Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT21. - Paras Sharma, Prithvi Poddar, P. B. Sujit:
A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure. - Thinh Quang Dinh, Diep N. Nguyen, Dinh Thai Hoang, Pham Tran Vu, Eryk Dutkiewicz:
Enabling Large-Scale Federated Learning over Wireless Edge Networks. - Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. - Yan Li, De Cheng, Jiande Sun, Dingwen Zhang, Nannan Wang, Xinbo Gao:
Single Image Dehazing with An Independent Detail-Recovery Network. - Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha:
Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021. - Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. - Suncheng Xiang, Guanjie You, Mengyuan Guan, Hao Chen, Feng Wang, Ting Liu, Yuzhuo Fu:
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification. - Mingyu Derek Ma, Muhao Chen, Te-Lin Wu, Nanyun Peng:
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning. - Takayuki Kanai, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi:
Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove. - Yash Nair, Nan Jiang:
A Spectral Approach to Off-Policy Evaluation for POMDPs. - Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. - A. Feder Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, David Mimno:
Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron. - Ankur Gupta, Vivek Gupta:
Unsupervised Contextualized Document Representation. - Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan:
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning. - Zeyuan Yin, Ye Yuan, Panfeng Guo, Pan Zhou:
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis. - (Withdrawn) Anti-degenerated UWB-LiDAR Localization for Automatic Road Roller in Tunnel.
- Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields:
Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication. - Anish Muthali, Forrest Laine, Claire J. Tomlin:
Incorporating Data Uncertainty in Object Tracking Algorithms. - Ding Lyu, Yuan Yuan, Lin Wang, Xiaofan Wang, Alex Pentland:
Investigating and Modeling the Dynamics of Long Ties. - Michihiro Mikamo, Ryo Furukawa, Hiroshi Kawasaki:
A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques. - Saloni Dash, Gazal Shekhawat, Syeda Zainab Akbar, Joyojeet Pal:
Extremism & Whataboutism: A Case Study on Bangalore Riots. - Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert:
A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index. - Oliver Salazar Celis:
Numerical Continued Fraction Interpolation. - Tejas Indulal Dhamecha, V. Rudra Murthy, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya:
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. - Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer:
Cramér-Rao bound-informed training of neural networks for quantitative MRI. - Gaëlle Candel, David Naccache:
Index t-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings. - Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou:
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. - Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang:
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering. - Ester M. Garzón, José Antonio Martínez, Juan José Moreno, María Luz Puertas:
On the 2-domination number of cylinders with small cycles. - Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu:
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning. - Florian Jacob, Saskia Bayreuther, Hannes Hartenstein:
On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups. - Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. - Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical Multimodal Transformer to Summarize Videos. - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma:
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search. - Amirreza Sobhdel, Saeed Shahrivari:
Few-Shot Sound Source Distance Estimation Using Relation Networks. - Ilwi Yun, Hyuk-Jae Lee, Chae-Eun Rhee:
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning. - Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys:
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. - Yefei Wang, Kaili Wang, Yi Wang, Di Guo, Huaping Liu, Fuchun Sun:
Audio-Visual Grounding Referring Expression for Robotic Manipulation. - Darwin Droll, Heinrich Söbke:
Realism of Simulation Models in Serious Gaming: Two case studies from Urban Water Management Higher Education. - Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis:
An automatic differentiation system for the age of differential privacy. - Koshi Oishi, Tomohiko Jimbo:
Autonomous Cooperative Transportation System involving Multi-Aerial Robots with Variable Attachment Mechanism. - Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, W. P. M. H. Heemels:
Event-triggered observer design for linear systems. - Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis:
Partial sensitivity analysis in differential privacy. - Kechun Xu, Hongxiang Yu, Renlang Huang, Dashun Guo, Yue Wang, Rong Xiong:
Efficient Object Manipulation to an Arbitrary Goal Pose: Learning-based Anytime Prioritized Planning. - Jiandong Mu, Hanwei Fan, Wei Zhang:
High-dimensional Bayesian Optimization for CNN Auto Pruning with Clustering and Rollback. - Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper:
Emulating Aerosol Microphysics with Machine Learning. - Yuanxun Lu, Jinxiang Chai, Xun Cao:
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation. - Lenka Kuklisová Pavelková, Ladislav Jirsa, Anthony Quinn:
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances. - Jeremy Heng Meng Wong, Igor Abramovski, Xiong Xiao, Yifan Gong:
Diarisation using location tracking with agglomerative clustering. - Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu:
Context-aware Tree-based Deep Model for Recommender Systems. - Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. - Lorenzo Andolfo, Luigi Coppolino, Salvatore D'Antonio, Giovanni Mazzeo, Luigi Romano, Matthew Ficke, Arne Hollum, Darshan Vaydia:
Privacy-preserving Credit Scoring via Functional Encryption. - Daniel Schneider, Verena Biener, Alexander Otte, Travis Gesslein, Philipp Gagel, Cuauhtli Campos, Klen Copic Pucihar, Matjaz Kljun, Eyal Ofek, Michel Pahud, Per Ola Kristensson, Jens Grubert:
Accuracy Evaluation of Touch Tasks in Commodity Virtual and Augmented Reality Head-Mounted Displays. - Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda:
Noisy-to-Noisy Voice Conversion Framework with Denoising Model. - Carlos Beltrán, Vanni Noferini, Nick Vannieuwenhoven:
Relative-error stability of numerical algorithms. - Mohamad T. Shahab, Daniel E. Miller:
Model Reference Adaptive Control with Linear-like Closed-loop Behavior. - Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant:
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. - Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan:
Enriching and Controlling Global Semantics for Text Summarization. - Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion. - Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu:
Identifying Fast/Slow Thinking without Prior. - Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. - Krysia Broda, Fariba Sadri, Stephen Butler:
Reactive Answer Set Programming. - Donatella Occorsio, Maria Grazia Russo, Woula Themistoclakis:
Filtered integration rules for finite Hilbert transforms. - Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe:
Facilitating human-wildlife cohabitation through conflict prediction. - Alexis-Michel Mugabushaka, Miriam Baglioni, Alessia Bardi, Paolo Manghi:
Scholarly outputs of EU Research Funding Programs: Understanding differences between datasets of publications reported by grant holders and OpenAIRE Research Graph in H2020. - Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu:
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders. - Akram Hussain:
Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data. - Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Contrastive Learning for Fair Representations. - Rodolfo Bermejo:
Numerical analysis of a finite element formulation of the P2D model for Lithium-ion cells. - Efrat Blaier, Itzik Malkiel, Lior Wolf:
Caption Enriched Samples for Improving Hateful Memes Detection. - Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas:
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. - Shreyas Srinivasa, Jens Myrup Pedersen, Emmanouil Vasilomanolakis:
Gotta catch 'em all: a Multistage Framework for honeypot fingerprinting. - Theodor Westny, Erik Frisk, Björn Olofsson:
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques. - Xuehui Wang, Feng Shu, Weiping Shi, Xiaopeng Liang, Rongen Dong, Jun Li, Jiangzhou Wang:
Beamforming Design for IRS-aided Decode-and-Forward Relay Wireless Network. - Nikolina Kubiak, Simon Hadfield:
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression. - David Persson, Alice Cortinovis, Daniel Kressner:
Improved variants of the Hutch++ algorithm for trace estimation. - Felicitas Hetzelt, Martin Radev, Robert Buhren, Mathias Morbitzer, Jean-Pierre Seifert:
VIA: Analyzing Device Interfaces of Protected Virtual Machines. - Yue Feng, Ying Ma:
Error bounds of fourth-order compact finite difference methods for the Dirac equation in the massless and nonrelativistic regime. - Garcia Fernandez Guglielmo, François Martignac, Marie Nevoux, Laurent Beaulaton, Thomas Corpetti:
A deep neural network for multi-species fish detection using multiple acoustic cameras. - Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. - Jonathan J. Mize:
Machines as Programs: P ≠ NP. - Shaoning Xiao, Long Chen, Jian Shao, Yueting Zhuang, Jun Xiao:
Natural Language Video Localization with Learnable Moment Proposals. - Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. - Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler:
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. - Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts with Parts-Based Detectors. - Zhenshan Bing, Amir E. I. Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois C. Knoll:
Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network. - Luigi Bellomarini, Markus Nissl, Emanuel Sallinger:
Query Evaluation in DatalogMTL - Taming Infinite Query Results. - Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero:
Differentiable Surface Triangulation. - Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets:
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. - Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel:
Towards Automatic Bias Detection in Knowledge Graphs. - Gerardo L. Febres:
Complementing the Linear-Programming Learning Experience with the Design and Use of Computerized Games: The Formula 1 Championship Game. - Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul H. J. Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne:
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation. - Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks. - Oswin Aichholzer, Jan Kyncl, Manfred Scheucher, Birgit Vogtenhuber, Pavel Valtr:
On Crossing-Families in Planar Point Sets. - Josephine M. Thomas, Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Rüdiger Nather:
Graph type expressivity and transformations. - Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. - Chiara Ghidini, Marco Rospocher, Luciano Serafini:
A formalisation of BPMN in Description Logics. - Xuan-Huy Pham, Mazen Alamir, François Bonne, Patrick Bonnay:
A generic fixed-point iteration-based hierarchical control design: Application to a cryogenic process. - Kaoru Teranishi, Tomonori Sadamoto, Kiminao Kogiso:
Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption. - Yu Tang Liu, Eric Price, Pascal Goldschmid, Michael J. Black, Aamir Ahmad:
Autonomous Blimp Control using Deep Reinforcement Learning. - Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari:
Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network. - Fotis Nikolaidis, Antony Chazapis, Manolis Marazakis, Angelos Bilas:
Frisbee: automated testing of Cloud-native applications in Kubernetes. - Samayan Bhattacharya, Sk Shahnawaz:
Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing. - Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. - Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Miao Hua, Qian He, Zili Yi:
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing. - Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke:
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. - Sajjad Mozaffari, Eduardo Arnold, Mehrdad Dianati, Saber Fallah:
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks. - Michael S. Crouch, Mingde Zheng, Michael S. Eggleston:
Natural Typing Recognition via Surface Electromyography. - Hongbo Zhang, Yunshuang Li, Yipin Guo, Xinyi Chen, Qinyuan Ren:
Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-like Model. - Liang Yu, Shuqi Qin, Zhanbo Xu, Xiaohong Guan, Chao Shen, Dong Yue:
Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning. - Jonathan Flossdorf, Anne Meyer, Dmitri Artjuch, Jaques Schneider, Carsten Jentsch:
Unsupervised Movement Detection in Indoor Positioning Systems. - Miao Hua, Lijie Liu, Ziyang Cheng, Qian He, Bingchuan Li, Zili Yi:
FaceEraser: Removing Facial Parts for Augmented Reality. - Paolo Grasso, Mauro Sebastián Innocente:
Stigmergy-based collision-avoidance algorithm for self-organising swarms. - Manoj Basnet, Mohd. Hasan Ali:
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence. - Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua:
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation. - Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin:
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers. - Pavlos Aimoniotis, Christos Sakalis, Magnus Själander, Stefanos Kaxiras:
"It's a Trap!"-How Speculation Invariance Can Be Abused with Forward Speculative Interference. - Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei:
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images. - Zhenzhen Wang, Aleksander S. Popel, Jeremias Sulam:
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images. - Luis Orellana, Luis Sainz, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
Stability Assessment for Multi-Infeed Grid-Connected VSCs Modeled in the Admittance Matrix Form. - Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen:
Introducing Symmetries to Black Box Meta Reinforcement Learning. - Yahya Hassanzadeh-Nazarabadi, Sanaz Taheri Boshrooyeh, Safa Otoum, Seyhan Ucar, Öznur Özkasap:
DHT-based Communications Survey: Architectures and Use Cases. - Gonzalo Munilla Garrido, Joseph P. Near, Muhammad Aitsam, Warren He, Roman Matzutt, Florian Matthes:
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries. - Yuanfeng Yu, Xiaoya Zheng, Peng Li, Zhongzhou Zhang, Jinyou Xiao:
Evaluation of mechanical and energy properties for the phase field modeling of failure. - Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa:
Neural network relief: a pruning algorithm based on neural activity. - Anwesha Law, Ashish Ghosh:
Improved Multi-label Classification with Frequent Label-set Mining and Association. - Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah:
Multi-Slice Clustering for 3-order Tensor Data. - Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West:
Population-scale dietary interests during the COVID-19 pandemic. - Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine:
A Workflow for Offline Model-Free Robotic Reinforcement Learning. - Davod Khojasteh Salkuyeh, Maeddeh Pourbagher:
A modified block alternating splitting iteration method for solving a class of two-by-two block complex linear systems. - Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. - Zhao Yuan:
Formulations and Approximations of the Branch Flow Model for Mesh Power Networks. - Shentong Mo, Pengtao Xie:
Learning by Examples Based on Multi-level Optimization. - Srijanie Dey, Alexander Dimitrov:
Mapping and Validating a Point Neuron Model on Intel's Neuromorphic Hardware Loihi. - Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason R. Wilson:
AI-HRI 2021 Proceedings. - Thomas Gross:
Why Most Results of Socio-Technical Security User Studies Are False. - Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu:
Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing. - Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton:
Pix2seq: A Language Modeling Framework for Object Detection. - Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. - Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. - Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orasan, Lucia Specia:
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation. - Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul F. Christiano:
Recursively Summarizing Books with Human Feedback. - A. K. M. Bahalul Haque, Bilal Naqvi, A. K. M. Najmul Islam, Sami Hyrynsalmi:
Towards a GDPR-Compliant Blockchain-Based COVID Vaccination Passport. - Sharda Tripathi, Corrado Puligheddu, Carla-Fabiana Chiasserini, Federico Mungari:
A Context-aware Radio Resource Management in Heterogeneous Virtual RANs. - Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot:
SoK: Machine Learning Governance. - Qiangqiang Huang, Alan Papalia, John J. Leonard:
On Reference Solutions to Non-Gaussian SLAM Factor Graphs. - Miaomiao Wang, Abdelhamid Tayebi:
Nonlinear Attitude Estimation Using Intermittent Linear Velocity and Vector Measurements. - James Vance, Zhen-Hao Xu, Nikita Tretyakov, Torsten Stuehn, Markus Rampp, Sebastian Eibl, André Brinkmann:
Code modernization strategies for short-range non-bonded molecular dynamics simulations. - Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
ENERO: Efficient Real-Time Routing Optimization. - Congzhou M. Sha, Nikolay V. Dokholyan:
Simple exponential acceleration of the power iteration algorithm. - Matthew Bright, Andrew I. Cooper, Vitaliy Kurlin:
Easily computable continuous metrics on the space of isometry classes of all 2-dimensional lattices. - Alka Khurana, Vasudha Bhatnagar:
Investigating Entropy for Extractive Document Summarization. - Rishabh Singh, José C. Príncipe:
Quantifying Model Predictive Uncertainty with Perturbation Theory. - Shaleen Deep, Xiao Hu, Paraschos Koutris:
Space-Time Tradeoffs for Answering Boolean Conjunctive Queries. - Charles C. Kemp, Aaron Edsinger, Henry M. Clever, Blaine Matulevich:
The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environments. - Shaolun Ruan, Yong Wang, Qiang Guan:
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes. - Ying Zhao, Jingcheng Shi, Jiawei Liu, Jian Zhao, Fangfang Zhou, Wenzhi Zhang, Kangyi Chen, Xin Zhao, Chunyao Zhu, Wei Chen:
Evaluating Effects of Background Stories on Graph Perception. - Suphanut Jamonnak, Ye Zhao, Xinyi Huang, Md. Amiruzzaman:
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data. - Christopher Wewer, Florian Lemmerich, Michael Cochez:
Updating Embeddings for Dynamic Knowledge Graphs. - Hessam Moeini, Todd Nicholson, Klara Nahrstedt, Gianni Pezzarossi:
ProvLet: A Provenance Management Service for Long Tail Microscopy Data. - Zohreh Shaghaghian, Heather Burte, Dezhen Song, Wei Yan:
Learning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach. - Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann:
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines. - Thinh Quang Dinh, Diep N. Nguyen, Dinh Thai Hoang, Pham Tran Vu, Eryk Dutkiewicz:
In-network Computation for Large-scale Federated Learning over Wireless Edge Networks. - Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, Leander Thiele, Romeel Dave, Desika Narayanan, Andrina Nicola, Yin Li, Pablo Villanueva-Domingo, Benjamin D. Wandelt, David N. Spergel, Rachel S. Somerville, José Manuel Zorrilla Matilla, Faizan G. Mohammad, Sultan Hassan, Helen Shao, Digvijay Wadekar, Michael Eickenberg, Kaze W. K. Wong, Gabriella Contardo, Yongseok Jo, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Lucia A. Perez, Daisuke Nagai, Nicholas Battaglia, Mark Vogelsberger:
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. - Kan Xu, Hamsa Bastani, Osbert Bastani:
Robust Generalization of Quadratic Neural Networks via Function Identification. - Abram Magner, Carolyn S. Kaminski, Petko Bogdanov:
Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment. - Arash Amini, Arul Selvam Periyasamy, Sven Behnke:
T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression. - Morgan Schaefer, Lauren Michelin, Jeremy Kepner:
Naming Schema for a Human Brain-Scale Neural Network. - Ida Szubert, Omri Abend, Nathan Schneider, Samuel Gibbon, Sharon Goldwater, Mark Steedman:
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech. - Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf:
A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy:
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces. - Ali Yavari, Amir Rajabzadeh, Fardin Abdali Mohammadi:
A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis. - Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. - Nasir U. Eisty, Jeffrey C. Carver:
Developers Perception of Peer Code Review in Research Software Development. - Yifei Guo, Bikash C. Pal, Rabih A. Jabr:
On the Optimality of Voltage Unbalance Attenuation by Inverters. - Jack H. Lutz:
The Point-to-Set Principle, the Continuum Hypothesis, and the Dimensions of Hamel Bases. - Bruno Arcanjo, Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments. - Jing Yang, Didier A. Vega-Oliveros, Tais Seibt, Anderson Rocha:
Scalable Fact-checking with Human-in-the-Loop. - Rami Masri, Chen Liu, Beatrice Riviere:
A discontinuous Galerkin pressure correction scheme for the incompressible Navier-Stokes equations: stability and convergence. - Rose Power, Mubariz Zaffar, Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms. - Maximilian Zinkus, Tushar M. Jois, Matthew Green:
SoK: Cryptographic Confidentiality of Data on Mobile Devices. - Akshay Valsaraj, Ithihas Madala, Nikhil Garg, Veeky Baths:
Alzheimers Dementia Detection using Acoustic & Linguistic features and Pre-Trained BERT. - Jarrett Holtz, Joydeep Biswas:
SOCIALGYM: A Framework for Benchmarking Social Robot Navigation. - Michael Greenberg, Konstantinos Kallas, Nikos Vasilakis, Stephen Kell:
Report on the "The Future of the Shell" Panel at HotOS 2021. - Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable:
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations. - Xiaoyu Yang, Xiaodan Zhu:
Exploring Decomposition for Table-based Fact Verification. - Ahmet Uyar, Selahattin Akkas, Jiayu Li, Judy Fox:
Intel Optane DCPMM and Serverless Computing. - Aamo Iorliam, Raymond U. Dugeri, Beatrice O. Akumba, Samera Otor:
An Investigation And Insight Into Terrorism In Nigeria. - Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi:
Social-Media Activity Forecasting with Exogenous Information Signals. - Jan Niklas Fuhg, Nikolaos Bouklas:
On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling. - Clara Meister, Afra Amini, Tim Vieira, Ryan Cotterell:
Conditional Poisson Stochastic Beam Search. - Eleonora Brembilla, Shervin Azadi, Pirouz Nourian:
A Computational Approach for Checking Compliance with European View and Sunlight Exposure Criteria. - Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan:
Security Analysis of Capsule Network Inference using Horizontal Collaboration. - Nari Johnson, Sonali Parbhoo, Andrew Slavin Ross, Finale Doshi-Velez:
Learning Predictive and Interpretable Timeseries Summaries from ICU Data. - Justus F. Hübotter, Pablo Lanillos, Jakub M. Tomczak:
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization. - M. Greene, Sam Grabus, Jane Greenberg:
DARSI: An Ontology for Facilitating the Development of Data Sharing and Use Agreements. - Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone:
Cross-Modal Coherence for Text-to-Image Retrieval. - Adrian Salazar Gomez, Madeleine Darbyshire, Junfeng Gao, Elizabeth I. Sklar, Simon Parsons:
Towards practical object detection for weed spraying in precision agriculture. - Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville, Marc G. Bellemare:
On Bonus-Based Exploration Methods in the Arcade Learning Environment. - Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. - Yiwen Wang, Jennifer Hu, Roger Levy, Peng Qian:
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models. - Jianling Wang, Ainur Yessenalina, Alireza Roshan Ghias:
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. - Sky CH-Wang, David Jurgens:
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender. - Chao Qin, Hugh H. T. Liu:
PCVPC: Perception Constrained Visual Predictive Control For Agile Quadrotors. - Michael Higgins, Dominic Widdows, Chris Brew, Gwen Christian, Andrew Maurer, Matthew Dunn, Sujit Mathi, Akshay Hazare, George Bonev, Beth Ann Hockey, Kristen Howell, Joseph Bradley:
Actionable Conversational Quality Indicators for Improving Task-Oriented Dialog Systems. - Aaditya Prasad, Nikhil Mehta, Matthew Horak, Wan D. Bae:
A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology. - Cheng Tan, Zhichao Li, Jian Zhang, Yu Cao, Sikai Qi, Zherui Liu, Yibo Zhu, Chuanxiong Guo:
Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem. - A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. - Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander:
Learning to Downsample for Segmentation of Ultra-High Resolution Images. - Leonidas Kosmidis, Iván Rodriguez, Álvaro Jover, Sergi Alcaide, Jérôme Lachaize, Jaume Abella, Olivier Notebaert, Francisco J. Cazorla, David Steenari:
GPU4S: Embedded GPUs in Space - Latest Project Updates. - Dina Ghanai Miandoab, Sareh Assiri, Joseph Mihaljevic, Bertrand Cambou:
Statistical Analysis of ReRAM-PUF based Keyless Encryption Protocol Against Frequency Analysis Attack. - Daben Kyle Liu:
Predicting Stress in Remote Learning via Advanced Deep Learning Technologies. - Hanieh Shabanian, Madhusudhanan Balasubramanian:
A Novel Factor Graph-Based Optimization Technique for Stereo Correspondence Estimation. - Junjie Li, Jingyao Li, Wenbo Zhou, Shuai Lü:
Evolutionary Generative Adversarial Networks based on New Fitness Function and Generic Crossover Operator. - Linghao Song, Yuze Chi, Atefeh Sohrabizadeh, Young-kyu Choi, Jason Lau, Jason Cong:
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication. - Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. - Christopher Sciavolino:
Towards Universal Dense Retrieval for Open-domain Question Answering. - Szu-Jui Chen, Wei Xia, John H. L. Hansen:
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora. - Yunxiang Zhang, Xiaojun Wan:
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. - Eman Abdullah AlOmar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni:
Behind the Scenes: On the Relationship Between Developer Experience and Refactoring. - Mingrui Yu, Hanzhong Zhong, Xiang Li:
Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models. - Keshav Bimbraw, Christopher Julius Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang:
Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm. - Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy:
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. - Jin-Yuan Wang, Xian-Tao Fu, Jun-Bo Wang, Min Lin, Julian Cheng, Mohamed-Slim Alouini:
Secrecy Capacity Bounds for Visible Light Communications With Signal-Dependent Noise. - Thuy T. Le, Michael V. Klibanov, Loc H. Nguyen, Anders Sullivan, Lam H. Nguyen:
Carleman contraction mapping for a 1D inverse scattering problem with experimental time-dependent data. - Fei Han, Zhibin Li:
A peridynamics-based finite element method for quasi-static fracture analysis. - Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee:
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling. - Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis:
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. - Farhad Aghili:
Energy Efficient Control of Electric Motors. - Rui Li, Dong Pu, Minnie Huang, Bill Huang:
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning. - Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff:
Adversarial Transfer Attacks With Unknown Data and Class Overlap. - Robert J. Joyce, Edward Raff, Charles Nicholas:
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. - Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xian-Ling Mao:
Cross-Lingual Language Model Meta-Pretraining. - Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Adversarially Robust Coloring for Graph Streams. - Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Weihua Luo, Jiajun Chen:
Non-Parametric Online Learning from Human Feedback for Neural Machine Translation. - Jeremy Heng Meng Wong, Yifan Gong:
Joint speaker diarisation and tracking in switching state-space model. - Xianing Chen, Jialang Xu, Jiale Xu, Shenghua Gao:
OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification. - Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso:
Toward a Unified Framework for Debugging Gray-box Models. - Yonghong Zeng, Yuhong Wang, Sumei Sun, Yugang Ma:
Subband Random Sensing Grant Free Uplink for URLLC in Unlicensed Spectrum. - Matteo Della Rossa, Zheming Wang, Lucas N. Egidio, Raphaël M. Jungers:
Data-driven stability analysis of switched affine systems. - Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. - Jinliang Lu, Jiajun Zhang:
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation. - Jan Wöhlke, Felix Schmitt, Herke van Hoof:
Hierarchies of Planning and Reinforcement Learning for Robot Navigation. - Chong Zhang, Wanming Yu, Zhibin Li:
Accessibility-Based Clustering for Efficient Learning of Robot Fall Recovery. - Hanna Kossowsky, Ilana Nisky:
Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks. - Yating Zhang, Xiaoxia Guo, Pengpeng Xie:
A note on perturbation analysis for T-product based tensor singular values. - Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo:
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. - Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski:
Secure PAC Bayesian Regression via Real Shamir Secret Sharing. - Marco Schreyer, Timur Sattarov, Damian Borth:
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. - Laurent Gourvès, Ararat Harutyunyan, Michael Lampis, Nikolaos Melissinos:
Filling Crosswords is Very Hard. - Zhenfeng Fan, Silong Peng, Shihong Xia:
Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method. - Thomas Simpson, Nikolaos Dervilis, Eleni N. Chatzi:
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks. - Jieying Chen, Yue Ma, Rafael Peñaloza, Hui Yang:
Union and Intersection of all Justifications. - Marco Lippi, Stefano Mariani, Matteo Martinelli, Franco Zambonelli:
Individual and Collective Autonomous Development. - Manuela M. C. de Souza, Camila F. T. Pontes, João J. C. Gondim, Luís Paulo F. Garcia, Luiz A. DaSilva, Marcelo Antonio Marotta:
An Anomaly-based Multi-class Classifier for Network Intrusion Detection. - Constantinos Marios Angelopoulos, Gabriel Filios, Sotiris E. Nikoletseas, Theofanis P. Raptis:
Keeping data at the edge of smart irrigation networks: A case study in strawberry greenhouses. - Matej Dostál, Mehrnoosh Sadrzadeh, Gijs Wijnholds:
Fuzzy Generalised Quantifiers for Natural Language in Categorical Compositional Distributional Semantics. - Diego Sánchez-Moreno, Álvaro Lozano Murciego, Vivian F. López Batista, María Dolores Muñoz Vicente, María N. Moreno García:
Dynamic inference of user context through social tag embedding for music recommendation. - Alexander Koenig, Zixi Liu, Lucas Janson, Robert D. Howe:
Tactile Grasp Refinement using Deep Reinforcement Learning and Analytic Grasp Stability Metrics. - Mehrnoosh Sadrzadeh:
Pregroup Grammars, their Syntax and Semantics. - Xun Gao, Yin Zhao, Jie Zhang, Longjun Cai:
Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark. - Leo van Iersel, Sjors Kole, Vincent Moulton, Leonie Nipius:
An algorithm for reconstructing level-2 phylogenetic networks from trinets. - Yuxuan Sun, Fan Zhang, Junlin Zhao, Sheng Zhou, Zhisheng Niu, Deniz Gündüz:
Coded Computation across Shared Heterogeneous Workers with Communication Delay. - Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. - Jakub Breier, Xiaolu Hou, Martín Ochoa, Jesus Solano:
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training. - Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang:
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. - Andreas Schimpe, Johannes Feiler, Simon Hoffmann, Domagoj Majstorovic, Frank Diermeyer:
Open Source Software for Teleoperated Driving. - Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap. - Chaoyu Liu, Zhonghua Qiao, Qian Zhang:
Two-phase segmentation for intensity inhomogeneous images by the Allen-Cahn Local Binary Fitting Model. - Bingzhuo Zhong, Majid Zamani, Marco Caccamo:
Sandboxing Controllers for Stochastic Cyber-Physical Systems. - Fengyuan Shi, Limin Wang, Weilin Huang:
End-to-End Dense Video Grounding via Parallel Regression. - Emanuele Bellini, Franco Bagnoli, Alexander A. Ganin, Igor Linkov:
Cyber Resilience in IoT network: Methodology and example of assessment through epidemic spreading. - Ceren Kocaogullar, Arthur Gervais, Benjamin Livshits:
Towards Private On-Chain Algorithmic Trading. - Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov:
Necessary and Sufficient Conditions for State Feedback Equivalence to Negative Imaginary Systems. - Maryam Abdolmaleki, Saeed Karimi, Davod Khojasteh Salkuyeh:
A new block diagonal preconditioner for a class of 3×3 block saddle point problems. - Rafael Dutra, Rahul Gopinath, Andreas Zeller:
FormatFuzzer: Effective Fuzzing of Binary File Formats. - Gunmin Lee, Wooseok Oh, Seungyoun Shin, Dohyeong Kim, Jeongwoo Oh, Jaeyeon Jeong, Sungjoon Choi, Songhwai Oh:
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. - Erik Schultheis, Rohit Babbar:
Unbiased Loss Functions for Multilabel Classification with Missing Labels. - Fernando S. Barbosa, Bruno Lacerda, Paul Duckworth, Jana Tumova, Nick Hawes:
Risk-Aware Motion Planning in Partially Known Environments. - Linh Kästner, Junhui Li, Zhengcheng Shen, Jens Lambrecht:
Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation. - Gloria Ciavarrini, Valerio Luconi, Alessio Vecchio:
Smartphone-based geolocation of Internet hosts. - Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, Xiao Xu, Wanxiang Che:
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System. - Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. - Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma:
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. - Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl:
Deep Learning Strategies for Industrial Surface Defect Detection Systems. - Anne Dirkson, Suzan Verberne, Wessel Kraaij:
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack. - Thomas Richard, Florent Dupont, Guillaume Lavoué:
Multi-resolution deep learning pipeline for dense large scale point clouds. - Nikolas Borrel-Jensen, Allan P. Engsig-Karup, Cheol-Ho Jeong:
Physics-Informed Neural Networks (PINNs) for Sound Field Predictions with Parameterized Sources and Impedance Boundaries. - Omri Keren, Omer Levy:
ParaShoot: A Hebrew Question Answering Dataset. - Michael Helmberger, Kristian Morin, Nitish Kumar, Danwei Wang, Yufeng Yue, Giovanni Cioffi, Davide Scaramuzza:
The Hilti SLAM Challenge Dataset. - Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl:
Active Learning for Argument Strength Estimation. - Wen Tong, Geoffrey Ye Li:
Nine Challenges in Artificial Intelligence and Wireless Communications for 6G. - Tobias Norlund, Lovisa Hagström, Richard Johansson:
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? - Pietro Cassarà, Alberto Gotta, Lorenzo Valerio:
Federated Feature Selection for Cyber-Physical Systems of Systems. - Mika Hämäläinen, Khalid Alnajjar:
The Current State of Finnish NLP. - Eleni Straitouri, Adish Singla, Vahid Balazadeh Meresht, Manuel Gomez-Rodriguez:
Reinforcement Learning Under Algorithmic Triage. - Qiang Sheng, Xueyao Zhang, Juan Cao, Lei Zhong:
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning. - Yiting Li, Haiyue Zhu, Jun Ma, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee:
Towards Generalized and Incremental Few-Shot Object Detection. - Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. - Seryne Rahali, Maryline Laurent, Souha Masmoudi, Charles Roux, Brice Mazeau:
A Validated Privacy-Utility Preserving Recommendation System with Local Differential Privacy. - Asaf Nadler, Ron Bitton, Oleg Brodt, Asaf Shabtai:
On The Vulnerability of Anti-Malware Solutions to DNS Attacks. - Bastian Schäfermeier, Gerd Stumme, Tom Hanika:
Towards Explainable Scientific Venue Recommendations. - Bojie Wang, Yuheng Lu:
Graph Neural Netwrok with Interaction Pattern for Group Recommendation. - Lisa Tse, Abdoul Aziz Amadou, Axen Georget, Ahmet Tuysuzoglu:
PRANet: Point Cloud Registration with an Artificial Agent. - Annan Yu, Chloé Becquey, Diana Halikias, Matthew Esmaili Mallory, Alex Townsend:
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks. - Daniel Layeghi, Steve Tonneau, Michael N. Mistry:
Optimal Control via Combined Inference and Numerical Optimization. - Nina Slamnik-Krijestorac, Steven Latré, Johann M. Márquez-Barja:
An optimized application-context relocation approach for Connected and Automated Mobility (CAM). - Xiaoran Wu, Jia Jia:
Tumera: Tutor of Photography Beginners. - Haoxuan Qu, Hossein Rahmani, Li Xu, Bryan M. Williams, Jun Liu:
Recent Advances of Continual Learning in Computer Vision: An Overview. - Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar. - Max Schwarz, Sven Behnke:
Low-Latency Immersive 6D Televisualization with Spherical Rendering. - Paul Hagemann, Johannes Hertrich, Gabriele Steidl:
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint. - Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner:
WRENCH: A Comprehensive Benchmark for Weak Supervision. - Difei Cheng, Ruihang Xu, Bo Zhang:
Fast Density Estimation for Density-based Clustering Methods. - Lorenzo Valerio, Marco Conti, Andrea Passarella:
Energy efficient distributed analytics at the edge of the network for IoT environments. - Amirhossein Kazemipour, Oliver Fischer, Yasunori Toshimitsu, Ki Wan Wong, Robert K. Katzschmann:
A Robust Adaptive Approach to Dynamic Control of Soft Continuum Manipulators. - Arda Çelebi, Arzucan Özgür:
Cluster-based Mention Typing for Named Entity Disambiguation. - Narayanaa S. R, Sivaranjan M, Lekshmi R. S:
Fault Localization in Cloud using Centrality Measures. - Neha Arora, Yi-Fan Chen, Sanjay Ganapathy, Yechen Li, Ziheng Lin, Carolina Osorio, Andrew Tomkins, Iveel Tsogsuren:
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models. - Zhengwen Shen, Jun Wang, Zaiyu Pan, Yulian Li, Jiangyu Wang:
Cross Attention-guided Dense Network for Images Fusion. - Lily Brown, Andy Friesen, Alan Jeffrey:
Position Paper: Goals of the Luau Type System. - Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich Schütze, Daniel Cremers:
Scene Graph Generation for Better Image Captioning? - Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, Siyu Tang:
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands. - Rüdiger Frey, Verena Köck:
Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics. - Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim:
Hierarchical Memory Matching Network for Video Object Segmentation. - Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes, Matteo Romanello, Antoine Doucet:
Named Entity Recognition and Classification on Historical Documents: A Survey. - Xiaoran Wu:
Reinforced Natural Language Interfaces via Entropy Decomposition. - Ayush Maheshwari, KrishnaTeja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa:
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. - Zengying Zhu, Jinchi Chen, Weiguo Gao:
Low Rank Vectorized Hankel Lift for Matrix Recovery via Fast Iterative Hard Thresholding. - Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham:
A survey of Bayesian Network structure learning. - Yoni Kasten, Dolev Ofri, Oliver Wang, Tali Dekel:
Layered Neural Atlases for Consistent Video Editing. - Jirí Fejlek, Stefan Ratschan:
Computing Funnels Using Numerical Optimization Based Falsifiers. - Pornpat Sirithumgul, Pimpaka Prasertsilp, Lorne Olfman:
An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System. - Marko Vasic, Cameron T. Chalk, Austin Luchsinger, Sarfraz Khurshid, David Soloveichik:
Programming and Training Rate-Independent Chemical Reaction Networks. - Huafeng Quan, Shaobo Li, Changchang Zeng, Hongjing Wei, Jianjun Hu:
Big Data driven Product Design: A Survey. - Chris Monico:
Remarks on MOBS and cryptosystems using semidirect products. - Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga:
Automated Fact-Checking: A Survey. - Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo:
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. - Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro:
Robin Hood and Matthew Effects - Differential Privacy Has Disparate Impact on Synthetic Data. - Utkarsh Dwivedi, Jaina Gandhi, Raj Parikh, Merijke Coenraad, Elizabeth Bonsignore, Hernisa Kacorri:
Exploring Machine Teaching with Children. - Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Klünder, Jürgen Münch, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian R. Prause, Stephen G. MacDonell, Joyce Nakatumba-Nabende, David Raffo, Sarah Beecham, Eray Tüzün, Gustavo López, Nicolás Paez, Diego Fontdevila, Sherlock A. Licorish, Steffen Küpper, Günther Ruhe, Eric Knauss, Özden Özcan-Top, Paul M. Clarke, Fergal McCaffery, Marcela Genero, Aurora Vizcaíno, Mario Piattini, Marcos Kalinowski, Tayana Conte, Rafael Prikladnicki, Stephan Krusche, Ahmet Coskunçay, Ezequiel Scott, Fabio Calefato, Svetlana Pimonova, Rolf-Helge Pfeiffer, Ulrik Pagh Schultz, Rogardt Heldal, Masud Fazal-Baqaie, Craig Anslow, Maleknaz Nayebi, Kurt Schneider, Stefan Sauer, Dietmar Winkler, Stefan Biffl, María Cecilia Bastarrica, Ita Richardson:
What Makes Agile Software Development Agile? - Akansha Singh:
Piecewise Padé-Chebyshev Approximation of Bivariate Piecewise smooth Functions. - Phutphalla Kong, Matei Mancas, Bernard Gosselin, Kimtho Po:
DeepRare: Generic Unsupervised Visual Attention Models. - Jean-Baptiste Camps, Thibault Clérice, Frédéric Duval, Lucence Ing, Naomi Kanaoka, Ariane Pinche:
Corpus and Models for Lemmatisation and POS-tagging of Old French. - Pawan Goyal, Peter Benner:
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. - Sina Baghbanijam, Hanie Sanaei:
An Improved Authentication & Key Exchange Protocol Based on ECDH for WSNs. - Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger:
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. - Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. - Adithya Shankar, Harikumar Kandath, J. Senthilnath:
Acceleration based PSO for Multi-UAV Source-Seeking. - Vahid Mokhtari, Ajay Suresha Sathya, Nikolaos Tsiogkas, Wilm Decré:
Safe-Planner: A Single-Outcome Replanner for Computing Strong Cyclic Policies in Fully Observable Non-Deterministic Domains. - Fan Luo, Shaoxiang Chen, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Self-supervised Learning for Semi-supervised Temporal Language Grounding. - Niloofar Jahanshahi, Pushpak Jagtap, Majid Zamani:
Synthesis of Partially Observed Jump-Diffusion Systems via Control Barrier Functions. - Paula Helm, Loizos Michael, Laura Schelenz:
Diversity by Design: Balancing Protection and Inclusion in Social Networks. - Zonghe Chua, Allison M. Okamura:
Characterization of Real-time Haptic Feedback from Multimodal Neural Network-based Force Estimates during Teleoperation. - Taelin Karidi, Yichu Zhou, Nathan Schneider, Omri Abend, Vivek Srikumar:
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords. - Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin:
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications. - Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun:
LGD: Label-guided Self-distillation for Object Detection. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. - Shiyue Zhang, Mohit Bansal:
Finding a Balanced Degree of Automation for Summary Evaluation. - Pietro Griffa, Carmelo Sferrazza, Raffaello D'Andrea:
Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor. - Erik D. Demaine, Adam Hesterberg, Frederic Koehler, Jayson Lynch, John C. Urschel:
Multidimensional Scaling: Approximation and Complexity. - Scott Garrabrant:
Temporal Inference with Finite Factored Sets. - Yu Cheng, Ilias Diakonikolas, Daniel M. Kane, Rong Ge, Shivam Gupta, Mahdi Soltanolkotabi:
Outlier-Robust Sparse Estimation via Non-Convex Optimization. - Marco Grassia, Giuseppe Mangioni:
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction. - A. Emin Orhan:
How much "human-like" visual experience do current self-supervised learning algorithms need to achieve human-level object recognition? - Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman, Matthew P. Lungren, Michael S. Hansen:
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction. - Patrick Y. Wu, Walter R. Mebane Jr.:
MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks. - Mehrdad Ghadiri, Richard Peng, Santosh S. Vempala:
Sparse Regression Faster than dω. - Matthew Bright, Andrew I. Cooper, Vitaliy Kurlin:
A complete and continuous map of the Lattice Isometry Space for all 3-dimensional lattices. - Han Wu, Kun Xu, Linqi Song:
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator. - Krishnakumar Santhakumar, S. Hamidreza Kasaei:
Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks. - Jianxiang Feng, Jongseok Lee, Maximilian Durner, Rudolph Triebel:
Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning. - Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji:
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. - Tim Hsu, Nathan Keilbart, Stephen Weitzner, James Chapman, Penghao Xiao, Tuan Anh Pham, S. Roger Qiu, Xiao Chen, Brandon C. Wood:
Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction. - Nitya Kasturi, Igor L. Markov:
Text Ranking and Classification using Data Compression. - Behnaz Moradi-Jamei, Brandán L. Kramer, J. Bayoán Santiago Calderón, Gizem Korkmaz:
Community Formation and Detection on GitHub Collaboration Networks. - Rodrigo Q. Saramago, Leander Jehl, Hein Meling, Vero Estrada-Galiñanes:
A Tree-based Construction for Verifiable Diplomas with Issuer Transparency. - Erick Galinkin, John Carter, Spiros Mancoridis:
Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem. - Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi:
Long Short View Feature Decomposition via Contrastive Video Representation Learning. - Hideki Kawahara, Toshie Matsui, Kohei Yatabe, Ken-Ichi Sakakibara, Minoru Tsuzaki, Masanori Morise, Toshio Irino:
Implementation of interactive tools for investigating fundamental frequency response of voiced sounds to auditory stimulation. - Gautam Salhotra, Christopher E. Denniston, David A. Caron, Gaurav S. Sukhatme:
Adaptive Sampling using POMDPs with Domain-Specific Considerations. - Shiva Maharaj, Nick Polson, Alex Turk:
Chess AI: Competing Paradigms for Machine Intelligence. - Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi, Vijayan N. Nair:
Document Automation Architectures and Technologies: A Survey. - Marcel Marek, Giovanni Nardini, Vladimír Veselý:
Proceedings of the 8th OMNeT++ Community Summit, Virtual Summit, September 8-10, 2021. - Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Jilin Hu:
Evolutionary Clustering of Streaming Trajectories. - Yuyan Li, Chuanmao Fan, Xu Wang, Ye Duan:
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation. - Ke Li, Yun Yang, Naveen N. Narisetty:
Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit. - Xu Wang, Yuyan Li, Ye Duan:
Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation. - Yunshuang Yuan, Hao Cheng, Monika Sester:
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving. - Alexander Cicchino, David C. Del Rey Fernández, Siva Nadarajah, Jesse Chan, Mark H. Carpenter:
Provably Stable Flux Reconstruction High-Order Methods on Curvilinear Elements. - Carlos F. Daganzo:
An operating system for extra long urban trains. - Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc:
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. - Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. - Ivan Slobozhan, Tymofii Brik, Rajesh Sharma:
Longitudinal change in language behaviour during protests: A case study of Euromaidan in Ukraine. - Hafiz Majid Hussain, Arun Narayanan, Subham Sahoo, Yongheng Yang, Pedro H. J. Nardelli, Frede Blaabjerg:
Home Energy Management Systems: Operation and Resilience of Heuristics against Cyberattacks. - Uttam Bhat, Stephan B. Munch:
Recurrent Neural Networks for Partially Observed Dynamical Systems. - Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jäger, Ryan Cotterell, Roger Levy:
Revisiting the Uniform Information Density Hypothesis. - Linh Kästner, Johannes Cox, Teham Buiyan, Jens Lambrecht:
All-in-One: A DRL-based Control Switch Combining State-of-the-art Navigation Planners. - Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik:
Learning Generative Deception Strategies in Combinatorial Masking Games. - Linh Kästner, Xinlin Zhao, Zhengcheng Shen, Jens Lambrecht:
Obstacle-aware Waypoint Generation for Long-range Guidance of Deep-Reinforcement-Learning-based Navigation Approaches. - Effrosyni Papanastasiou, Anastasios Giovanidis:
Bayesian Inference of a Social Graph with Trace Feasibility Guarantees. - Krishna Shankar, Mark Tjersland, Jeremy Ma, Kevin Stone, Max Bajracharya:
A Learned Stereo Depth System for Robotic Manipulation in Homes. - Mahdy Shirdel, Reza Asadi, Duc Do, Michael Hintlian:
Deep Learning with Kernel Flow Regularization for Time Series Forecasting. - Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong:
Modeling Dynamic Attributes for Next Basket Recommendation. - Tamir Bendory, Oscar Mickelin, Amit Singer:
Sparse multi-reference alignment: sample complexity and computational hardness. - Muhammad Khalid, Liang Wang, Kezhi Wang, Cunhua Pan, Nauman Aslam, Yue Cao:
Learning-Based Path Planning for Long-Range Autonomous Valet Parking. - Xiaoxue Zhang, Shouqian Shi, Chen Qian:
WebFlow: Scalable and Decentralized Routing for Payment Channel Networks with High Resource Utilization. - Haoran Qiu, Yongzhou Chen, Tianyin Xu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
SLO beyond the Hardware Isolation Limits. - Nima Taherkhani, Kamran Kiasaleh:
Performance Improvement of Dimmable OFDM-Visible Light Communication using Subcarrier Index Modulation and Reed Solomon Encoding. - Malek Mouhoub, Hamad Al Marri, Eisa Alanazi:
Exact Learning of Qualitative Constraint Networks from Membership Queries. - Sai Krishna Sumanth Nakka, Behdad Chalaki, Andreas A. Malikopoulos:
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways. - Qingguang Guan, Gillian Queisser:
Coupled diffusion-reaction systems with ODE controlled interfaces: existence, uniqueness and an implicit-explicit finite element scheme. - Jean-Philippe Aumasson, Denis Kolegov, Evangelia Stathopoulou:
Security Review of Ethereum Beacon Clients. - Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? - Qiantong Xu, Alexei Baevski, Michael Auli:
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition. - Dan Li, Shuai Wang, Jie Zou, Chang Tian, Elisha Nieuwburg, Fengyuan Sun, Evangelos Kanoulas:
Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems. - Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer:
Discovering and Validating AI Errors With Crowdsourced Failure Reports. - Carlo Alfano, Patrick Rebeschini:
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning. - Bruce Spang, Serhat Arslan, Nick McKeown:
Updating the Theory of Buffer Sizing. - Josef Dick, Takashi Goda, Kosuke Suzuki:
Component-by-component construction of randomized rank-1 lattice rules achieving almost the optimal randomized error rate. - Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang:
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. - Peng Xu, Alejandro Salado, Xinwei Deng:
A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems. - Taewon Kang, Younghoon Shin:
Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching. - Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. - Lucas Correia Villa Real, Maximilien de Bayser:
User-Defined Functions for HDF5. - Bahareh Alizadeh Kharazi, Diya Li, Zhe Zhang, Amir H. Behzadan:
Feasibility study of urban flood mapping using traffic signs for route optimization. - Sheng Liu, Chengqing Li, Qiao Hu:
Cryptanalyzing two image encryption algorithms based on a first-order time-delay system. - Jinxiang Liu, Yangheng Zhao, Siheng Chen, Ya Zhang:
A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer. - Zhanhong Yang, Satoshi Masuda, Michiaki Tatsubori:
Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model. - Venkatesan Guruswami, Jonathan Mosheiff:
Punctured Large Distance Codes, and Many Reed-Solomon Codes, Achieve List-Decoding Capacity. - Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin:
MORSE-STF: A Privacy Preserving Computation System. - Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen:
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. - Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. - Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Jizhou Huang, Hui Xiong:
Adversarial Neural Trip Recommendation. - Guangyi Zhang, Ali Etemad:
Holistic Semi-Supervised Approaches for EEG Representation Learning. - Wen Yin, Longfei Ke, Zhaoxia Yin, Jin Tang, Bin Luo:
Comments on "Robust reversible data hiding scheme based on two-layer embedding strategy". - Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang:
Unaligned Image-to-Image Translation by Learning to Reweight. - Isaac J. Sledge, José C. Príncipe:
Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. - Madura A. Shelton, Lukasz Chmielewski, Niels Samwel, Markus Wagner, Lejla Batina, Yuval Yarom:
Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code. - Cristóbal Eyzaguirre, Felipe del Río, Vladimir Araujo, Álvaro Soto:
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference. - Leyla Khaleghi, Alireza Sepas-Moghaddam, Joshua A. Marshall, Ali Etemad:
Multi-View Video-Based 3D Hand Pose Estimation. - Md Aminul Haque Palash, Md Abdullah Al Nasim, Aditi Dhali, Faria Afrin:
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network. - Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory. - Jing Shuang Li, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 2: System Level Synthesis and Architecture. - William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna:
Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. - Elena Sofia Ruzzetti, Leonardo Ranaldi, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto:
Lacking the embedding of a word? Look it up into a traditional dictionary. - Chayan Banerjee, Zhiyong Chen, Nasimul Noman:
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience. - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Non-Euclidean Self-Organizing Maps. - Boris Bellalta, Luciano Bononi, Raffaele Bruno, Andreas Kassler:
Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges. - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Discrete Hyperbolic Random Graph Model. - Guoqing Ma, Shuping Dang, Chuanting Zhang, Basem Shihada:
Paving the Way for Distributed ArtificialIntelligence over the Air. - Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying point cloud realism through adversarially learned latent representations. - Sotiris E. Nikoletseas, Theofanis P. Raptis, Christoforos L. Raptopoulos:
Radiation-constrained algorithms for Wireless Energy Transfer in Ad hoc Networks. - Lei Shi, Kai Shuang, Shijie Geng, Peng Gao, Zuohui Fu, Gerard de Melo, Yunpeng Chen, Sen Su:
Dense Contrastive Visual-Linguistic Pretraining. - Denis Koala, Zakaria Yahouni, Gülgün Alpan, Yannick Frein:
Factors influencing Drug Consumption and Prediction Methods. - Marius Paraschiv, Nikos Salamanos, Costas Iordanou, Nikolaos Laoutaris, Michael Sirivianos:
A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations. - Abhsihek Nandekar, Preeth Khona, Rajani M. B., Anindya Sinha, Nithin Nagaraj:
Causal Analysis of Carnatic Music: A Preliminary Study. - Sotiris E. Nikoletseas, Theofanis P. Raptis, Christoforos L. Raptopoulos:
Wireless charging for weighted energy balance in populations of mobile peers. - Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control. - Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. - Ioannis Katsidimas, Sotiris E. Nikoletseas, Theofanis P. Raptis, Christoforos L. Raptopoulos:
An algorithmic study in the vector model for Wireless Power Transfer maximization. - Aviv Tamar, Daniel Soudry, Ev Zisselman:
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability. - Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. - Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models. - Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li:
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. - Theo Jaunet, Guillaume Bono, Romain Vuillemot, Christian Wolf:
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation. - Andreea Costea, Wei-Ngan Chin, Florin Craciun, Shengchao Qin:
Automated Modular Verification for Race-Free Channels with Implicit and Explicit Synchronization. - Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. - Peter N. Loxley, Ka Wai Cheung:
A dynamic programming algorithm for informative measurements and near-optimal path-planning. - Meng Huang, Yang Wang:
Linear convergence of randomized Kaczmarz method for solving complex-valued phaseless equations. - Wenqi Cao, Anders Lindquist, Giorgio Picci:
Modeling of Low Rank Time Series. - Alexander Breckel, Jakob Pietron, Katharina Juhnke, Florian Sihler, Matthias Tichy:
A Domain-Specific Language for Modeling and Analyzing Solution Spaces for Technology Roadmapping. - Wouter Kool, Chris J. Maddison, Andriy Mnih:
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts. - Jiayu Sun, Zhanghan Ke, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau:
MODNet-V: Improving Portrait Video Matting via Background Restoration. - Ruya Zhou, Xiangyu Chen, Wankai Tang, Xiao Li, Shi Jin, Ertugrul Basar, Qiang Cheng, Tie Jun Cui:
Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces. - Ming Liu, Zhi Xue, Xiangjian He, Jinjun Chen:
SCADS: A Scalable Approach Using Spark in Cloud for Host-based Intrusion Detection System with System Calls. - Arthur Drichel, Benedikt Holmes, Justus von Brandt, Ulrike Meyer:
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection. - Guang Liu, Hailong Huang, Yuzhao Mao, Weiguo Gao, Xuan Li, Jianping Shen:
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification. - Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. - Zhendong Zhang:
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling. - Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani, Hamid Laga:
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images. - Christel Chappuis, Sylvain Lobry, Benjamin Kellenberger, Bertrand Le Saux, Devis Tuia:
How to find a good image-text embedding for remote sensing visual question answering? - Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn, Tim Korjakow, Eva-Maria Herbst:
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability. - Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió:
Approximate Latent Force Model Inference. - Mark de Berg, Morteza Monemizadeh, Yu Zhong:
k-Center Clustering with Outliers in the Sliding-Window Model. - Sarita de Berg, Frank Staals:
Dynamic Data Structures for k-Nearest Neighbor Queries. - Jannik Castenow, Thorsten Götte, Till Knollmann, Friedhelm Meyer auf der Heide:
The Max-Line-Formation Problem. - Piotr Wzorek, Tomasz Kryjak:
Training dataset generation for bridge game registration. - Zhendong Zhang:
Learning Multi-Layered GBDT Via Back Propagation. - Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan:
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework. - Charl Maree, Christian W. Omlin:
Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services. - Kristijan Bartol, David Bojanic, Tomislav Petkovic, Tomislav Pribanic:
Catadioptric Stereo on a Smartphone. - Pau Riba, Sounak Dey, Ali Furkan Biten, Josep Lladós:
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild. - Yifu Ding, Thomas Morstyn, Malcolm D. McCulloch:
Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty. - Jekaterina Novikova:
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text. - Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier:
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification. - Mahdi Fahmideh, John C. Grundy, Ghassan Beydoun, Didar Zowghi, Willy Susilo, Davoud Mougouei:
A Model-Driven Approach to Reengineering Processes in Cloud Computing. - Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa:
Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena. - Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long:
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. - Danilo Lelin Li, Arman Farhang:
OTFS Without CP in Massive MIMO: Breaking Doppler Limitations with TR-MRC and Windowing. - Benjamin Ledel, Steffen Herbold:
Broccoli: Bug localization with the help of text search engines. - Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long:
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. - Cédric Gerbelot, Raphaël Berthier:
Graph-based Approximate Message Passing Iterations. - Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang:
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection. - Gábor Lugosi, Gergely Neu, Julia Olkhovskaya:
Learning to maximize global influence from local observations. - Asaad Alghamdi, Louai Al-Awami:
Privacy-Preserving Social Distancing Bracelet. - Chengyi Zou, Shuai Wan, Tiannan Ji, Marta Mrak, Marc Górriz Blanch, Luis Herranz:
Spatial Information Refinement for Chroma Intra Prediction in Video Coding. - Palak Purohit, Poojan Modi, Udit Vyas:
Kinematic Control of 2-wheeled Segway. - Joseph Hejderup, Georgios Gousios:
Can We Trust Tests To Automate Dependency Updates? A Case Study of Java Projects. - Alireza Ahmadi, Michael Halstead, Chris McCool:
Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields. - Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. - Daniele Antonio Di Pietro, Ilaria Fontana, Kyrylo Kazymyrenko:
A posteriori error estimates via equilibrated stress reconstructions for contact problems approximated by Nitsche's method. - Pierre Champion, Denis Jouvet, Anthony Larcher:
Evaluating X-vector-based Speaker Anonymization under White-box Assessment. - Pierre Martou, Kim Mens, Benoît Duhoux, Axel Legay:
Test Scenario Generation for Context-Oriented Programs. - Moitreya Chatterjee, Jonathan Le Roux, Narendra Ahuja, Anoop Cherian:
Visual Scene Graphs for Audio Source Separation. - Vivek Bithar, Punit Tulpule, Shawn Midlam-Mohler:
Online Robust MPC based Emergency Maneuvering System for Autonomous Vehicles. - Fredrik Dahlqvist, Todd Schmid:
How to write a coequation. - Shaul Solomon, Adam Cohn, Hernan Rosenblum, Chezi Hershkovitz, Ivan P. Yamshchikov:
Rethinking Crowd Sourcing for Semantic Similarity. - Eleonora Borgia, Raffaele Bruno, Andrea Passarella:
Making opportunistic networks in IoT environments CCN-ready: A performance evaluation of the MobCCN protocol. - Ajith Anil Meera, Martijn Wisse:
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind. - Siyuan Liu, Majid Zamani:
Compositional synthesis of almost maximally permissible safety controllers. - Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter:
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. - Michael Fink:
Implementation of Linear Model Predictive Control - Tutorial. - William Schultz, Ian Dardik, Stavros Tripakis:
Formal Verification of a Distributed Dynamic Reconfiguration Protocol. - Jiantao Shi, Ye Guo, Lang Tong, WenChuan Wu, Hongbin Sun:
A Scenario-oriented Approach to Multi-period Energy-Reserve Joint Procurement and Pricing. - Ezio Bartocci, Jyotirmoy Deshmukh, Cristinel Mateis, Eleonora Nesterini, Dejan Nickovic, Xin Qin:
Mining Shape Expressions with ShapeIt. - Konrad Godlewski, Bartosz Sawicki:
Optimisation of MCTS Player for The Lord of the Rings: The Card Game. - Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. - Lukas Edman, Ahmet Üstün, Antonio Toral, Gertjan van Noord:
Unsupervised Translation of German-Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language. - Giorgia Adorni, Elia Cereda:
Learning Relative Interactions through Imitation. - Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler:
A data acquisition setup for data driven acoustic design. - Matthias Rupp, Stefan Schuhbäck, Lars Wischhof:
Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications. - Tong Yao, Shreyas Sundaram:
Distributed Estimation of Sparse Inverse Covariances. - Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu:
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. - Robert C. Moore:
Indirectly Supervised English Sentence Break Prediction Using Paragraph Break Probability Estimates. - Siyuan Liu, Abdalla Swikir, Majid Zamani:
Compositional Verification of Initial-State Opacity for Switched Systems. - Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. - Fahim Faisal, Antonios Anastasopoulos:
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering. - Yao He, Huai Yu, Wen Yang, Sebastian A. Scherer:
Toward Efficient and Robust Multiple Camera Visual-inertial Odometry. - Jackson Petty, Robert Frank:
Transformers Generalize Linearly. - Francisco J. Ruiz-Ruiz, Alberto Giammarino, Marta Lorenzini, Juan M. Gandarias, Jesús M. Gómez de Gabriel, Arash Ajoudani:
Improving Standing Balance Performance through the Assistance of a Mobile Collaborative Robot. - Marc Böhlen, Varun Chandola, Wawan Sujarwo, Raunaq Jain:
From images in the wild to video-informed image classification. - Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber:
Sample Efficient Model Evaluation. - Dimitris Panagopoulos, Giannis Petousakis, Rustam Stolkin, Grigoris Nikolaou, Manolis Chiou:
A Bayesian-Based Approach to Human Operator Intent Recognition in Remote Mobile Robot Navigation. - Aiden Valentine, George Parisis:
Developing and experimenting with LEO satellite constellations in OMNeT++. - Edward Longman, Mohammed El-Hajjar, Geoff V. Merrett:
Intermittent Opportunistic Routing Components for the INET Framework. - Alessandro Noferi, Giovanni Nardini, Giovanni Stea, Antonio Virdis:
Deployment and configuration of MEC apps with Simu5G. - Nathan van Beusekom, Wouter Meulemans, Bettina Speckmann:
Simultaneous Matrix Orderings for Graph Collections. - Fred Bos, Ajith Anil Meera, Dennis Benders, Martijn Wisse:
Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind. - Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli:
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus. - Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury, Karthik Dantu, David S. Doermann, Ehsan Tarkesh Esfahani:
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
Parameterized Channel Normalization for Far-field Deep Speaker Verification. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification. - Alexey Kuznetsov:
Computing the Barnes G-function in the entire complex plane. - Eugenio Lomurno, Leonardo Di Perna, Lorenzo Cazzella, Stefano Samele, Matteo Matteucci:
A Generative Federated Learning Framework for Differential Privacy. - Hiroshi Seki, Takashi Nakano, Koshiro Ikeda, Shinji Hirooka, Takaaki Kawasaki, Mitsutomo Yamada, Shumpei Saito, Toshitaka Yamakawa, Shimpei Ogawa:
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble. - Tongan Cai, Haomiao Ni, Mingli Yu, Xiaolei Huang, Kelvin K. Wong, John Volpi, James Z. Wang, Stephen T. C. Wong:
DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning. - Johnathan Xie, Shuai Zheng:
ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation. - El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed:
AraT5: Text-to-Text Transformers for Arabic Language Understanding and Generation. - Anindya Bijoy Das, Aditya Ramamoorthy:
A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. - Fahim Faisal, Sharlina Keshava, Md Mahfuz Ibn Alam, Antonios Anastasopoulos:
SD-QA: Spoken Dialectal Question Answering for the Real World. - Xian Yeow Lee, Soumik Sarkar, Yubo Wang:
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. - Gautham Venkatasubramanian, Sibesh Kar, Abhimanyu Singh, Shubham Mishra, Dushyant Yadav, Shreyansh Chandak:
Towards A Measure Of General Machine Intelligence. - Barthélémy Dagenais, Hafedh Mili:
Slicing functional aspects out of legacy applications. - Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono:
The Mirror Langevin Algorithm Converges with Vanishing Bias. - Zhipeng Xue, Haoran Liu, Chen Zeng, Chenglong Zhou, Xiaodong Liu, Yangtao Ge, JinJing Zhao:
SEED: Semantic Graph based Deep detection for type-4 clone. - Sven Kreiss:
Deep Social Force. - Lingyong Yan, Xianpei Han, Le Sun:
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion. - Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty:
Text-based NP Enrichment. - Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. - Mohit Shridhar, Lucas Manuelli, Dieter Fox:
CLIPort: What and Where Pathways for Robotic Manipulation. - Seiji Shaw, Ben Abbatematteo, George Konidaris:
RMPs for Safe Impedance Control in Contact-Rich Manipulation. - Johann Frei, Frank Kramer:
GERNERMED - An Open German Medical NER Model. - Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey:
Faithful Target Attribute Prediction in Neural Machine Translation. - Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid:
Robotic Vision for Space Mining. - Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh:
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach. - Konrad Godlewski, Bartosz Sawicki:
MCTS Based Agents for Multistage Single-Player Card Game. - Aziza Zhanabatyrova, Clayton Frederick Souza Leite, Yu Xiao:
Automatic Map Update Using Dashcam Videos. - Sophia R. Williams, Jacob M. Suchoski, Zonghe Chua, Allison M. Okamura:
A 4-DoF Parallel Origami Haptic Device for Normal, Shear, and Torsion Feedback. - Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri:
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. - Jake Mcgrath, Armen Davis, James Curry, Orrie Gartner, Glenn Rodrigues, Seth Spielman, Daniel Massey:
Weather of the Dorm WIFI Ecosystem at the University of Colorado Boulder for Fall Semester 2019 to Spring Semester 2020 a Case Study of WIFI and a Campus Response to the COVID-19 Perturbation. - Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun:
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. - Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras:
Improving Model Predictive Path Integral using Covariance Steering. - Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. - Matteo Croci, Giacomo Rosilho de Souza:
Mixed-precision explicit stabilized Runge-Kutta methods for single- and multi-scale differential equations. - Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui:
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. - David A. Noever, Samantha E. Miller Noever:
POSSE: Patterns of Systems During Software Encryption. - Daniel Engel, Maurice Herlihy, Yingjie Xue:
Invited Paper: Failure is (literally) an Option: Atomic Commitment vs Optionality in Decentralized Finance. - Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan:
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming. - Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, Matthew R. Gormley:
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations. - Andrea Bisoffi, Claudio De Persis, Pietro Tesi:
Data-driven control via Petersen's lemma. - Di Fan, Yifan Wu, Xiaoxiao Li:
On the Fairness of Swarm Learning in Skin Lesion Classification. - Florian Richter, Emily K. Funk, Won Seo Park, Ryan K. Orosco, Michael C. Yip:
From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling. - Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar:
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. - Sultan Ahmed, Malek Mouhoub:
Constrained Optimization with Qualitative Preferences. - Giorgio Gobat, Andrea Opreni, Stefania Fresca, Andrea Manzoni, Attilio Frangi:
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition. - Jared Ray Coleman, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce:
Message Delivery in the Plane by Robots with Different Speeds. - Peter Z. Vaillancourt, Bennett Wineholt, Tristan J. Shepherd, Sara C. Pryor, Jeffrey Lantz, Richard Knepper, Rich Wolski, Christopher R. Myers, Ben Trumbore, Resa Reynolds, Jodie Sprouse, David Lifka:
Aristotle Cloud Federation: Container Runtimes Technical Report. - Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. - Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom:
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU. - Jamell Dacon, Jiliang Tang:
What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020. - Mihai Christodorescu, Erin English, Wanyun Catherine Gu, David Kreissman, Ranjit Kumaresan, Mohsen Minaei, Srinivasan Raghuraman, Cuy Sheffield, Arjuna Wijeyekoon, Mahdi Zamani:
Universal Payment Channels: An Interoperability Platform for Digital Currencies. - Sukhpal Singh Gill:
A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions. - Ninad Jadhav, Weiying Wang, Diana Zhang, Swarun Kumar, Stephanie Gil:
Toolbox Release: A WiFi-Based Relative Bearing Sensor for Robotics. - Antti Autio, Antti Hannukainen:
Compound Krylov subspace methods for parametric linear systems. - Kai Cheng, Tao Liu, Le Guan, Peng Liu, Hong Li, Hongsong Zhu, Limin Sun:
Finding Taint-Style Vulnerabilities in Linux-based Embedded Firmware with SSE-based Alias Analysis. - Alicia Y. Tsai, Shereen Oraby, Vittorio Perera, Jiun-Yu Kao, Yuheng Du, Anjali Narayan-Chen, Tagyoung Chung, Dilek Hakkani-Tür:
Style Control for Schema-Guided Natural Language Generation. - Xingyao Wang, David Jurgens:
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog. - Jake Grigsby, Zhe Wang, Yanjun Qi:
Long-Range Transformers for Dynamic Spatiotemporal Forecasting. - Meida Chen, Andrew Feng, Yu Hou, Kyle McCullough, Pratusha Bhuvana Prasad, Lucio Soibelman:
Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach. - Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross:
List-GRAND: A practical way to achieve Maximum Likelihood Decoding. - Jeet Vora, Swetanjal Dutta, Shyamgopal Karthik, Vineet Gandhi:
Bringing Generalization to Deep Multi-view Detection. - Avnish Gupta, Akash Jadhav, Pradyot V. N. Korupolu:
Low Cost Bin Picking Solution for E-Commerce Warehouse Fulfillment Centers. - Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross:
Fast Successive-Cancellation List Flip Decoding of Polar Codes. - Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu:
Logical Credal Networks. - An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. - Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha:
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? - Kai Jiang, Xuehong Su, Juan Zhang:
A general alternating-direction implicit framework with Gaussian process regression parameter prediction for large sparse linear systems. - Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji:
Long-Range Feature Propagating for Natural Image Matting. - Sehyun Tak, Seongjin Choi:
Development of Safety Monitoring System of Connected and Automated Vehicles considering the Trade-off between Communication Efficiency and Data Reliability. - Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Petros G. Voulgaris:
Constrained Attack-Resilient Estimation of Stochastic Cyber-Physical Systems. - Hongbing Zhang, Xinyi Liu, Hongtao Fan, Yajing Li, Yinlin Ye:
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery. - Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee:
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features. - Xiandong Huang, Qinglin Wang, Shuyu Lu, Ruochen Hao, Songzhu Mei, Jie Liu:
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs. - Bhanuka Manesha Samarasekara Vitharana Gamage:
An embarrassingly simple comparison of machine learning algorithms for indoor scene classification. - Yang Bai, Daisy Zhe Wang:
More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering. - Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou:
Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. - Jun Wu, Lilu Liu, Yue Wang, Rong Xiong:
Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation. - Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel:
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation. - Xutong Mu, Yulong Shen, Ke Cheng, Xueli Geng, Jiaxuan Fu, Tao Zhang, Zhiwei Zhang:
FedProc: Prototypical Contrastive Federated Learning on Non-IID data. - Qian Wan, Jun Fang, Yinsen Huang, Huiping Duan, Hongbin Li:
A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection. - Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang:
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. - Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff:
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms. - Rikuo Nakai, Yuichi Sudo, Koichi Wada:
Asynchronous Gathering Algorithms for Autonomous Mobile Robots with Lights. - Yuanhanqing Huang, Jianghai Hu:
Distributed Computation of Stochastic GNE with Partial Information: An Augmented Best-Response Scheme. - Zexi Chen, Haozhe Du, Yiyi Liao, Yue Wang, Rong Xiong:
Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters. - Bo Wei, Hang Song, Jiro Katto:
Adaptive video transmission using QUBO method and Digital Annealer based on Ising machine. - Hewei Liu:
Revisiting Pre-analysis Information Based Rate Control in x265. - Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li:
Jointly Learning to Repair Code and Generate Commit Message. - Yuanhanqing Huang, Jianghai Hu:
A Primal Decomposition Approach to Globally Coupled Aggregative Optimization over Networks. - Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov:
Opacus: User-Friendly Differential Privacy Library in PyTorch. - Zan Gao, Yuxiang Shao, Weili Guan, Meng Liu, Zhiyong Cheng, Shengyong Chen:
A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval. - Mithun Thakkar:
Finetuning Transformer Models to Build ASAG System. - Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. - Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen:
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts. - Xirong Li, Yang Zhou, Jie Wang, Hailan Lin, Jianchun Zhao, Dayong Ding, Weihong Yu, Youxin Chen:
Multi-Modal Multi-Instance Learning for Retinal Disease Recognition. - Carlo Michaelis, Andrew B. Lehr, Winfried Oed, Christian Tetzlaff:
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian. - Akshay Thirugnanam, Jun Zeng, Koushil Sreenath:
A Fast Computational Optimization for Optimal Control and Trajectory Planning for Obstacle Avoidance between Polytopes. - Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang:
MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. - Ioannis Z. Koukoutsidis:
A fluid reservoir model for the Age of Information through energy-harvesting transmitters. - Zhichao Lin, Yueheng Sun, Meishan Zhang:
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing. - MohammadAmin Fazli, Ali Owfi, Mohammad Reza Taesiri:
Under the Skin of Foundation NFT Auctions. - Gregory B. Rehm, Chao Wang, Irene Cortes-Puch, Chen-Nee Chuah, Jason Y. Adams:
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? - Elena Celledoni, Ergys Çokaj, Andrea Leone, Davide Murari, Brynjulf Owren:
Dynamics of the N-fold Pendulum in the framework of Lie Group Integrators. - Mesut Toka, Eray Guven, Mehmet Akif Durmaz, Gunes Karabulut-Kurt, Oguz Kucur:
Performance Analyses of TAS/Alamouti-MRC NOMA in Dual-Hop Full-Duplex AF Relaying Networks. - Rakib Hassan Pran, Ljupco Todorovski:
Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks. - Nicola Fonzi, Vittorio Cavalieri, Alessandro De Gaspari, Sergio Ricci:
Advances of the Python-based Fluid-Structure Interaction capabilities included in SU2. - Zheng Hu, Chuang Zhu, Gang He:
Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification. - Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu:
Distribution-sensitive Information Retention for Accurate Binary Neural Network. - Lu Rao:
TreeNet: A lightweight One-Shot Aggregation Convolutional Network. - Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar:
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. - Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, Abdelouahab Moussaoui:
DziriBERT: a Pre-trained Language Model for the Algerian Dialect. - Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno:
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging. - Neema Kotonya, Thomas Spooner, Daniele Magazzeni, Francesca Toni:
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification. - Avijit Mandal, Rajarshi Bhattacharjee, Abhishek Sinha:
Optimizing Age-of-Information in Adversarial Environments with Channel State Information. - Artemi Makarow, Christoph Rösmann, Torsten Bertram:
Suboptimal nonlinear model predictive control with input move-blocking. - Qiuyun Zou, Hongwen Yang:
Replica Analysis for Generalized Linear Regression with IID Row Prior. - Zhili Li, Xuejin Chen, Jie Zhao, Zhiwei Xiong:
Contrastive Learning for Mitochondria Segmentation. - Jan S. Hesthaven, Cecilia Pagliantini, Nicolò Ripamonti:
Structure-preserving model order reduction of Hamiltonian systems. - Anish K. Vallapuram, Nikhil Nanda, Young D. Kwon, Pan Hui:
Interpretable Business Survival Prediction. - Wenjie Yang, Sitong Wang, Zhenhui Peng, Chuhan Shi, Xiaojuan Ma, Diyi Yang:
Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis. - Natascha Harth, Hans-Jörg Vögel, Kostas Kolomvatsos, Christos Anagnostopoulos:
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics. - Zexiang Liu, Tzanis Anevlavis, Necmiye Ozay, Paulo Tabuada:
Automaton-based Implicit Controlled Invariant Set Computation for Discrete-Time Linear Systems. - Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi:
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition. - Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao:
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. - Sándor P. Fekete, Phillip Keldenich, Ramin Kosfeld, Christian Rieck, Christian Scheffer:
Connected Coordinated Motion Planning with Bounded Stretch. - Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee:
Language Model Priming for Cross-Lingual Event Extraction. - Norberto Sousa, Nuno Oliveira, Isabel Praça:
A Multi-Agent System for Autonomous Mobile Robot Coordination. - Eric McCormick, Haoxiang Lang, Clarence W. de Silva:
Automated Multi-domain Engineering Design through Linear Graph and Genetic Programming. - Xuezhi Song, Yun Lin, Siang Hwee Ng, Ping Yu, Xin Peng, Jin Song Dong:
Constructing Regression Dataset from Code Evolution History. - Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg:
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients. - Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Multi-source Few-shot Domain Adaptation. - Lalchand Pandia, Allyson Ettinger:
Sorting through the noise: Testing robustness of information processing in pre-trained language models. - Yunhao Yang, Zhaokun Xue:
Enhancing Latent Space Clustering in Multi-filter Seq2Seq Model: A Reinforcement Learning Approach. - Sagar Shrestha, Xiao Fu:
Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis. - Giannis Fikioris, Rachit Agarwal, Éva Tardos:
Incentives in Resource Allocation under Dynamic Demands. - Donald Somiari Ene, Isobo Nelson Davies, Godwin Fred Lenu, Ibiere Boma Cookey:
Implementing ECC on Data Link Layer of the OSI Reference Model. - Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda:
CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. - Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. - Donald Ene, Osagie Nosa Favour:
Analysing GSM Insecurity. - Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach. - Isiah Zaplana, Hugo Hadfield, Joan Lasenby:
Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra. - Oumayma Messoussi, Felipe Gohring de Magalhaes, Francois Lamarre, Francis Perreault, Ibrahima Sogoba, Guillaume-Alexandre Bilodeau, Gabriela Nicolescu:
Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes. - Bowen Ma, Junfeng Zhang, Weiwen Zou:
Comb-based photonic neural population for parallel and nonlinear processing. - Mahathi Anand, Pushpak Jagtap, Majid Zamani:
Verification of Switched Stochastic Systems via Barrier Certificates. - Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee:
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. - Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee:
Random Walk-steered Majority Undersampling. - Pengcheng Lu, Massimo Poesio:
Coreference Resolution for the Biomedical Domain: A Survey. - Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. - Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. - Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. - Bernard Spiegl:
Contrastive Unpaired Translation using Focal Loss for Patch Classification. - Ahmad Adnan Qidan, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Blind Interference Alignment in 6G Optical Wireless Communications. - Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. - Aditya Bhaskar, Shriya Rangarajan, Vikram Shree, Mark Campbell, Francesca Parise:
Accelerated consensus in multi-agent networks via memory of local averages. - Ishan Amarkumar Joshi:
Unblind the charts: Towards Making Interactive Charts Accessible in Android Applications. - Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks:
Basil: Breaking up BFT with ACID (transactions). - Chenghan Zhou, Thanh Hong Nguyen, Haifeng Xu:
Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion. - Frank Schäfer, Mohamed Tarek, Lyndon White, Christopher Rackauckas:
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia. - Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim:
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. - Ittai Abraham, Ling Ren, Zhuolun Xiang:
Good-case and Bad-case Latency of Unauthenticated Byzantine Broadcast: A Complete Categorization. - Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg:
Auditing AI models for Verified Deployment under Semantic Specifications. - Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. - Sohaib Kiani, Sana Awan, Chao Lan, Fengjun Li, Bo Luo:
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency. - Nikhil Potu Surya Prakash, Zhi Chen, Roberto Horowitz:
System Identification in Multi-Actuator Hard Disk Drives with Colored Noises using Observer/Kalman Filter Identification (OKID) Framework. - Qingyu Xiao, Yue Chen:
Efficient Force Estimation for Continuum Robot. - Isiah Zaplana, Hugo Hadfield, Joan Lasenby:
Singularities of serial robots: Identification and distance computation using geometric algebra. - Jean-Marc Jot, Rémi Audfray, Mark Hertensteiner, Brian Schmidt:
Rendering Spatial Sound for Interoperable Experiences in the Audio Metaverse. - Eric Atkinson, Guillaume Baudart, Louis Mandel, Charles Yuan, Michael Carbin:
Statically Bounded-Memory Delayed Sampling for Probabilistic Streams. - Yusuke Imai:
General Theory of Music by Icosahedron 3: Musical invariant and Melakarta raga. - Qing Cheng, Jie Shen:
A new Lagrange multiplier approach for constructing structure-preserving schemes, II. bound preserving. - Upol Ehsan, Mark O. Riedl:
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI. - Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen:
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data. - Rui Peng, Ronggang Wang, Yawen Lai, Luyang Tang, Yangang Cai:
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation. - Qiang Du, Hehu Xie, Xiaobo Yin:
On some nonlocal models with radially symmetric interaction domains and the effect of domain truncation. - Xingwei He:
Parallel Refinements for Lexically Constrained Text Generation with BART. - Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele:
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. - Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai:
ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. - Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See:
Self-Supervised Video Representation Learning by Video Incoherence Detection. - Vineeth S:
Quantization for Distributed Optimization. - Elahe Khoshbakhti Vaygan, Roozbeh Rajabi, Abouzar Estebsari:
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network. - Tamar Glaser, Emanuel Ben Baruch, Gilad Sharir, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
PETA: Photo Albums Event Recognition using Transformers Attention. - Arthur M. Jacobs, Annette Kinder:
Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt. - Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. - Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri:
Curvature Injected Adaptive Momentum Optimizer for Convolutional Neural Networks. - Yu Zhang, Xiaoguang Di, Shiyu Yan, Bin Zhang, Baoling Qi, Chunhui Wang:
A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR. - Xuanyang Zhang, Xiangyu Zhang, Jian Sun:
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better. - Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan:
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. - Zheqing Zhu, Benjamin Van Roy:
Deep Exploration for Recommendation Systems. - Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng:
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. - Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. - Peng Yang, Feng Liu, Wei Wei, Zhaojian Wang:
Approaching the Transient Stability Boundary of a Power System: Theory and Applications. - Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv:
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving. - Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling. - Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. - Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. - Jakub Simko, Patrik Racsko, Matús Tomlein, Martina Hanakova, Mária Bieliková:
A Study of Fake News Reading and Annotating in Social Media Context. - Xue-Lei Lin, Zhimin Zhang:
A Parallel-in-Time Preconditioner for the Schur Complement of Parabolic Optimal Control Problems. - Chaemin Lee, Jongho Park:
Preconditioning for finite element methods with strain smoothing. - Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou:
Structure-Preserving Image Super-Resolution. - Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan:
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. - Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause:
Data Summarization via Bilevel Optimization. - Yifei Qiu, Shaohua Wu, Ying Wang:
On the Scheduling Policy for Multi-process WNCS under Edge Computing. - Yunfei Chu, Xiaofu Chang, Kunyang Jia, Jingzhen Zhou, Hongxia Yang:
Dynamic Sequential Graph Learning for Click-Through Rate Prediction. - Jun Du, Chunxiao Jiang, Abderrahim Benslimane, Song Guo, Yong Ren:
SDN-based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach. - Chia-Ming Chang, Chang-Sung Sung, Tsung-Nan Lin:
DAMix: Density-Aware Data Augmentation for Unsupervised Domain Adaptation on Single Image Dehazing. - Charitos Charitou, Simo Dragicevic, Artur S. d'Avila Garcez:
Synthetic Data Generation for Fraud Detection using GANs. - Priyanka Meel, Dinesh Kumar Vishwakarma:
Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information. - Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen:
Disentangled Feature Representation for Few-shot Image Classification. - Nir Weinberger, Neri Merhav:
The DNA Storage Channel: Capacity and Error Probability. - Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud:
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers. - Haibin Shao, Lulu Pan, Dewei Li, Yugeng Xi:
Self-loop Compensation in Signed Networks. - Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Wei-Ta Chu:
Frequency Disentangled Residual Network. - Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li:
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control. - Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian propensity score matching in automotive embedded software engineering. - Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu:
Vision Transformer Hashing for Image Retrieval. - Travis Near:
An Analysis into the Performance and Memory Usage of MATLAB Strings. - Maikel M. Bosschaert, Yuri A. Kuznetsov:
Interplay between normal forms and center manifold reduction for homoclinic predictors near Bogdanov-Takens bifurcation. - Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan:
XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge. - Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang:
Paradigm Shift in Natural Language Processing. - Yubo An, Shenghui Zhao:
A Video Summarization Method Using Temporal Interest Detection and Key Frame Prediction. - (Withdrawn) Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation.
- Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Chengshi Zheng, Hui Wang:
Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement. - Song Feng, Siva Sankalp Patel, Hui Wan, Sachindra Joshi:
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents. - Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si:
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. - Vivek Kantilal Adajania, Houman Masnavi, Fatemeh Rastgar, Karl Kruusamäe, Arun Kumar Singh:
Embedded Hardware Appropriate Fast 3D Trajectory Optimization for Fixed Wing Aerial Vehicles by Leveraging Hidden Convex Structures. - Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. - Haochen Pan, Jesse Tuglu, Neo Zhou, Tianshu Wang, Yicheng Shen, Xiong Zheng, Joseph Tassarotti, Lewis Tseng, Roberto Palmieri:
Rabia: Simplifying State-Machine Replication Through Randomization. - João Lourenço Silva, Arlindo L. Oliveira:
Using Soft Labels to Model Uncertainty in Medical Image Segmentation. - Huaduo Wang, Farhad Shakerin, Gopal Gupta:
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories. - Jesper Larsson Träff:
A Doubly-pipelined, Dual-root Reduction-to-all Algorithm and Implementation. - Aram Ter-Sarkisov, Eduardo Alonso:
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. - Ali Nikseresht, Mohammad Hosein Raeisi, Hossein Abbasian Mohammadi:
Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC). - Carlotta Giannelli, Tadej Kanduc, Massimiliano Martinelli, Giancarlo Sangalli, Mattia Tani:
Weighted quadrature for hierarchical B-splines. - Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. - Anjana Perera, Aldeida Aleti, Marcel Böhme, Burak Turhan:
Defect Prediction Guided Search-Based Software Testing. - Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. - Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan:
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. - Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Shahin Amiriparian:
Improving Question Answering Performance Using Knowledge Distillation and Active Learning. - Isaac Grosof, Mor Harchol-Balter, Alan Scheller-Wolf:
The Finite-Skip Method for Multiserver Analysis. - Salem Alqahtani, Murat Demirbas:
BigBFT: A Multileader Byzantine Fault Tolerance Protocol for High Throughput. - Lokesh Krishna, Guillermo A. Castillo, Utkarsh A. Mishra, Ayonga Hereid, Shishir Kolathaya:
Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains. - Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou:
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Jurek Czyzowicz, Ryan Killick, Evangelos Kranakis, Danny Krizanc, Lata Narayanan, Jaroslav Opatrny, Denis Pankratov, Sunil M. Shende:
Group Evacuation on a Line by Agents with Different Communication Abilities. - Lisa Bonheme, Marek Grzes:
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders. - Aakriti Budhraja, Madhura Pande, Pratyush Kumar, Mitesh M. Khapra:
On the Prunability of Attention Heads in Multilingual BERT. - Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli:
Robust Coordination in Networks. - Adedamola Wuraola, Nitish D. Patel:
Efficient Non-linear Calculators. - Alexander Thorley, Xi Jia, Hyung Jin Chang, Boyang Liu, Karina Bunting, Victoria Stoll, Antonio de Marvao, Declan P. O'Regan, Georgios V. Gkoutos, Dipak Kotecha, Jinming Duan:
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration. - Magdalena Fuentes, Justin Salamon, Pablo Zinemanas, Martín Rocamora, Genís Paja, Irán R. Román, Rachel M. Bittner, Marius Miron, Xavier Serra, Juan Pablo Bello:
Soundata: A Python library for reproducible use of audio datasets. - Michal Opanowicz:
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II. - Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli:
Equilibria and learning dynamics in mixed network coordination/anti-coordination games. - Anji Ma, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi:
VP-GO: a "light" action-conditioned visual prediction model. - Ren Liu, Nitish Sontakke, Sehoon Ha:
Finite State Machine Policies Modulating Trajectory Generator. - Minesh Patel, Geraldo F. Oliveira, Onur Mutlu:
HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes. - Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. - Bailian Chen, Dylan Robert Harp, Yingqi Zhang, Curtis M. Oldenburg, Rajesh J. Pawar:
Dynamic Risk Assessment for Geologic CO2 Sequestration. - Elena Ivanova, Kam W. Leong, Andrew F. Laine:
Automated Multi-Process CTC Detection using Deep Learning. - Yuxin (Myles) Liu, Yoshimichi Nakatsuka, Ardalan Amiri Sani, Sharad Agarwal, Gene Tsudik:
Vronicle: A System for Producing Videos with Verifiable Provenance. - Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Janessari:
Cluster Analysis with Deep Embeddings and Contrastive Learning. - Julian D. Cortes, Daniel A. Andrade:
The Colombian Scientific Elite - Science Mapping and Bibliometric Outlook. - Gagan Khandate, Maximilian Haas-Heger, Matei T. Ciocarlie:
On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing. - Zih-Yun Chiu, Albert Z. Liao, Florian Richter, Bjorn Johnson, Michael C. Yip:
Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery. - Yi Han, Xubin Wang, Zhengyu Lu:
Research on facial expression recognition based on Multimodal data fusion and neural network. - Zhihao Ge, Xiangzi Fu:
Multirate iterative scheme with multiphysics finite element method for a fluid-saturated poroelasticity. - Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. - Zhijian He, Zhenghang Xu, Xiaoqun Wang:
Unbiased MLMC-based variational Bayes for likelihood-free inference. - Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu:
Structural Stability of a Family of Group Formation Games. - Nicholas A. G. Johnson:
Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada's Obesity Epidemic. - Juan Augusto Paredes, Syed Aseem Ul Islam, Omran Kouba, Dennis S. Bernstein:
Self-Excited Dynamics of Discrete-Time Lur'e Systems. - Hanson Hao:
Investigations on Automorphism Groups of Quantum Stabilizer Codes. - Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng:
Unit-Weight Laplacians are Complete for Linear Systems Modulo $p$. - Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang:
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. - Aurick Zhou, Sergey Levine:
Training on Test Data with Bayesian Adaptation for Covariate Shift. - Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh:
Learning Multimodal Rewards from Rankings. - Wlodek W. Zadrozny:
Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence. - Md Tahmid Hossain, Shyh Wei Teng, Guojun Lu, Ferdous Sohel:
A novel network training approach for open set image recognition. - Xintong Zhao, Steven Lopez, Semion Saikin, Xiaohua Hu, Jane Greenberg:
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning. - Shuhe Wang, Yuxian Meng, Xiaoya Li, Xiaofei Sun, Rongbin Ouyang, Jiwei Li:
OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts. - Zihao Sheng, Yunwen Xu, Shibei Xue, Dewei Li:
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving. - Jeremy Diaz, Guido Cervone, Christelle Wauthier:
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series. - Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim:
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. - Lin Tian, Xiuzhen Zhang, Jey Han Lau:
Rumour Detection via Zero-shot Cross-lingual Transfer Learning. - Tao Liu, Bowen Yang, Qi Li, Jin Ye, Wenzhan Song, Peng Liu:
Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study. - Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang:
Joint Multimedia Event Extraction from Video and Article. - Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen, Huy Dao Quang, Quang Pham Huu, Ngoc N. Tran, Ta Minh Thanh:
ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs. - Meisin Lee, Lay-Ki Soon, Eu-Gene Siew:
Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction. - Tao Liu, P. R. Kumar, Xi Liu:
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. - Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
High Frame Rate Video Quality Assessment using VMAF and Entropic Differences. - Samuel Schmidgall:
Self-Replicating Neural Programs. - Takeshi Homma, Qinghua Sun, Takuya Fujioka, Ryuta Takawaki, Eriko Ankyu, Kenji Nagamatsu, Daichi Sugawara, Etsuko T. Harada:
Emotional Speech Synthesis for Companion Robot to Imitate Professional Caregiver Speech. - Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Multiplicative Position-aware Transformer Models for Language Understanding. - John Spencer, Joonghyun Lee, Juan Augusto Paredes, Ankit Goel, Dennis S. Bernstein:
An Adaptive PID Autotuner for Multicopters with Experimental Results. - Siddharth Solaiyappan, Yuxin Wen:
Machine Learning based Medical Image Deepfake Detection: A Comparative Study. - Nairit Bandyopadhyay, Sébastien Riou, Didier Schwab:
Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning. - Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis:
Distributionally Robust Multi-Output Regression Ranking. - Felix Marattukalam, Waleed H. Abdulla, Akshya Swain:
N-shot Palm Vein Verification Using Siamese Networks. - Zhiqing Wei, Qian Chen, Heng Yang, Huici Wu, Zhiyong Feng, Fan Ning:
Neighbor Discovery for VANET with Gossip Mechanism and Multi-packet Reception. - Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar:
An optimised deep spiking neural network architecture without gradients. - Leyang Cui, Sen Yang, Yue Zhang:
Investigating Non-local Features for Neural Constituency Parsing. - Francesc Verdugo, Santiago Badia:
The software design of Gridap: a Finite Element package based on the Julia JIT compiler. - Alessandro Cimatti, Alberto Griggio, Stefano Tonetta:
The VMT-LIB Language and Tools. - Weizhi Feng, Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang:
On the Power of Finite Ambiguity in Büchi Complementation. - Zhiqing Wei, Zeyang Meng, Meichen Lai, Huici Wu, Jiarong Han, Zhiyong Feng:
Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends. - Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon:
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles. - Irina Beregovskaya, Mikhail Koroteev:
Review of Clustering-Based Recommender Systems. - Shiksha Singhal, Veeraruna Kavitha, Jayakrishnan Nair:
Coalition Formation in Constant Sum Queueing Games. - Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. - Kareem Darwish:
News Consumption in Time of Conflict: 2021 Palestinian-Israel War as an Example. - Lorenzo Mur-Labadia, Ruben Martinez-Cantin:
Bayesian deep learning of affordances from RGB images. - Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi:
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. - Zhanchao Huang, Wei Li, Xiang-Gen Xia, Ran Tao:
A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection. - Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang:
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. - Vladimír Veselý, Jan Zavrel:
Quality Control Methodology for Simulation Models of Computer Network Protocols. - Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel:
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. - José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens:
DRL-based Slice Placement under Realistic Network Load Conditions. - Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell:
Classifying Dyads for Militarized Conflict Analysis. - Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia:
Deep Structured Instance Graph for Distilling Object Detectors. - Lynnette Hui Xian Ng, Araz Taeihagh:
How does fake news spread? Understanding pathways of disinformation spread through APIs. - Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel:
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks. - Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans:
MFAQ: a Multilingual FAQ Dataset. - Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. - Maurilio Matracia, Mustafa A. Kishk, Mohamed-Slim Alouini:
Exploiting Wind Turbine-Mounted Base Stations to Enhance Rural Connectivity. - Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson:
High-Rate Uninterrupted Internet-of-Vehicle Communications in Highways: Dynamic Blockage Avoidance and CSIT Acquisition. - Marcin Bosk, Marija Gajic, Susanna Schwarzmann, Stanislav Lange, Thomas Zinner:
HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. - Johannes Hertrich, Antoine Houdard, Claudia Redenbach:
Wasserstein Patch Prior for Image Superresolution. - Ra'Fat Al-Msie'deen:
SoftCloud: A Tool for Visualizing Software Artifacts as Tag Clouds. - Fang Nan, Sihao Sun, Philipp Foehn, Davide Scaramuzza:
Nonlinear MPC for Quadrotor Fault-Tolerant Control. - Yule Wang, Xin Xin, Yue Ding, Dong Wang:
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. - Navid Ansari, Hans-Peter Seidel, Vahid Babaei:
Mixed Integer Neural Inverse Design. - Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. - Henri Lantéri:
Deformed logarithms. Associated entropic divergences. Applications to linear inverse problems. Inversion algorithms. - Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin, Jacco van Ossenbruggen:
Expressing High-Level Scientific Claims with Formal Semantics. - Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. - Genghang Zhuang, Zhenshan Bing, Jiaxi Zhao, Ning Li, Yuhong Huang, Kai Huang, Alois C. Knoll:
A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. - Hugo De Vos, Suzan Verberne:
Small data problems in political research: a critical replication study. - Marco Matarese, Francesco Rea, Alessandra Sciutti:
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction. - Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou:
The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service. - Shaily Bhatt, Sakshi Kalra, Naman Goenka, Yashvardhan Sharma:
Fake News Detection: Experiments and Approaches beyond Linguistic Features. - Nikolay Jetchev:
ClipMatrix: Text-controlled Creation of 3D Textured Meshes. - Fabio Bellavia, Dmytro Mishkin:
HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines. - Zukang Liao, Pengfei Zhang, Min Chen:
ML4ML: Automated Invariance Testing for Machine Learning Models. - Genghang Zhuang, Carlo Cagnetta, Zhenshan Bing, Kai Huang, Alois C. Knoll:
A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor. - Yehuda Afek, Gal Giladi, Boaz Patt-Shamir:
Distributed Computing With the Cloud. - Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Sparse Spatial Transformers for Few-Shot Learning. - Udo Schlegel, Daniel A. Keim:
Time Series Model Attribution Visualizations as Explanations. - Chanjun Park, Yoonna Jang, Seolhwa Lee, Jaehyung Seo, Kisu Yang, Heuiseok Lim:
PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities. - Michael Duhme, Raphael Memmesheimer, Dietrich Paulus:
Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks. - Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort:
Understanding and Overcoming the Challenges of Efficient Transformer Quantization. - Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. - Lalchand Pandia, Yan Cong, Allyson Ettinger:
Pragmatic competence of pre-trained language models through the lens of discourse connectives. - Musab Ahmed Eltayeb Ahmed, Konrad Fuger, Sebastian Lindner, Fatema Khan, Andreas Timm-Giel:
A Tutorial on Trace-based Simulations of Mobile Ad-hoc Networks on the Example of Aeronautical Communications. - Geoff Goodell:
The Forgotten Preconditions for a Well-Functioning Internet. - Abhik Banerjee, Abdur Rahim Mohammad Forkan, Dimitrios Georgakopoulos, Josip Karabotic Milovac, Prem Prakash Jayaraman:
An IIoT machine model for achieving consistency in product quality in manufacturing plants. - Shizhou Zhang, Duo Long, Yitao Gao, Liying Gao, Qian Zhang, Kai Niu, Yanning Zhang:
Text-based Person Search in Full Images via Semantic-Driven Proposal Generation. - Zeinab Salehi, Yijun Chen, Ian R. Petersen, Elizabeth L. Ratnam, Guodong Shi:
Social Shaping for Transactive Energy Systems. - Paul Marillonnet, Maryline Laurent, Mikaël Ates:
Personal information self-management: A survey of technologies supporting administrative services. - Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Challenging the Semi-Supervised VAE Framework for Text Classification. - Minseok Kim, Hoon Lee, Hongju Lee, Inkyu Lee:
Deep Learning Based Resource Assignment for Wireless Networks. - Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
Bilateral Trade: A Regret Minimization Perspective. - Michael Correll:
Towards a Theory of Bullshit Visualization. - Marios Constantinides, Sagar Joglekar, Daniele Quercia:
Retrofitting Meetings for Psychological Safety. - Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette:
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure. - Christos Theodoridis, Yannis Theodoridis:
Sustainable Urban Mobility in the Post-Pandemic Era (position paper). - Soeren Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. - Tarannom Parhizkar, Theresa Stewart, Lixian Huang, Ali Mosleh:
Degradation and Failure Mechanisms of Complex Systems: Principles. - Michal Daniluk, Jacek Dabrowski, Barbara Rychalska, Konrad Goluchowski:
Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model. - Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman:
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection. - Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. - Tzu-Han Hsu, Borzoo Bonakdarpour, César Sánchez:
HyperQube: A QBF-Based Bounded Model Checker for Hyperproperties. - Peter Xenopoulos, Bruno Gomes Coelho, Cláudio T. Silva:
Optimal Team Economic Decisions in Counter-Strike. - Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li:
Context-guided Triple Matching for Multiple Choice Question Answering. - Nils van den Honert, Diederick Vermetten, Anna V. Kononova:
Benchmarking the Status of Default Pseudorandom Number Generators in Common Programming Languages. - A. Mani:
Algebraic Semantics of Generalized RIFs. - Xin Su, Sai-Mang Pun:
A Multiscale Method for the Heterogeneous Signorini Problem. - Yong Li, Shoaib Kamil, Alec Jacobson, Yotam I. Gingold:
I$\heartsuit$LA: Compilable Markdown for Linear Algebra. - Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang:
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration. - Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBert: Teaching Soft Rules to Pre-trained Language Models. - Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. - Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang:
Federated Deep Learning with Bayesian Privacy. - Thai-Vu Nguyen, Anh Nguyen, Bac Le:
Semi-Supervised Adversarial Discriminative Domain Adaptation. - Anh Lam, Anh Nguyen, Bac Le:
Attention Gate in Traffic Forecasting. - Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. - Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. - Giancarlo A. Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Every time I fire a conversational designer, the performance of the dialog system goes down. - Fatemeh Rastgar, Houman Masnavi, Karl Kruusamäe, Alvo Aabloo, Arun Kumar Singh:
GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot. - Janosch Haber, Massimo Poesio:
Patterns of Lexical Ambiguity in Contextualised Language Models. - Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger:
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version. - Adam Zychowski, Jacek Mandziuk:
Learning Attacker's Bounded Rationality Model in Security Games. - Federico Bianchi, Debora Nozza, Dirk Hovy:
Language Invariant Properties in Natural Language Processing. - Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. - Lorenzo Valerio, Andrea Passarella, Marco Conti:
A communication efficient distributed learning framework for smart environments. - Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger:
Learning of Parameters in Behavior Trees for Movement Skills. - Weicong Chen, Chao-Kai Wen, Xiao Li, Shi Jin:
Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave systems. - Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. - Lam Si Tung Ho, Vu C. Dinh:
Searching for Minimal Optimal Neural Networks. - Mahdi Rahbar, Samaneh Yazdani:
Forecasting of COVID-19 Cases, Using an Evolutionary Neural Architecture Search Approach. - Deepika Varshney, Dinesh Kumar Vishwakarma:
An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method. - Mowei Wang, Cong Liang, Yashe Liu, Yong Jiang, Yong Cui:
Towards "Zero-buffer" Datacenter Networks. - Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang:
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions. - Jan Wira Gotama Putra, Simone Teufel, Takenobu Tokunaga:
Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance. - Zhengyi Wang, Zhongkai Hao, Hang Su, Jun Zhu:
Query-based Adversarial Attacks on Graph with Fake Nodes. - Zhengyuan Liu, Nancy F. Chen:
Controllable Neural Dialogue Summarization with Personal Named Entity Planning. - Yu-Lin Wei, Romit Roy Choudhury:
Estimating Angle of Arrival (AoA) of multiple Echoes in a Steering Vector Space. - Fengji Zhang, Jacky Keung, Xiao Yu, Zhiwen Xie, Zhen Yang, Caoyuan Ma, Zhimin Zhang:
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information. - Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky, Michael Bauerheim, Bénédicte Cuenot:
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations. - Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach. - N. Almazova, Georgios D. Barmparis, Giorgos P. Tsironis:
Analysis of chaotic dynamical systems with autoencoders. - Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi:
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation. - Yichen Tang, Jerry J. Zhang, Paul M. Corballis, Luke E. Hallum:
Towards the Classification of Error-Related Potentials using Riemannian Geometry. - Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao:
MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition. - Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. - Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Automated Mining of Leaderboards for Empirical AI Research. - Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. - Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane:
Inferring Facing Direction from Voice Signals. - Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. - Cencheng Shen, Qizhe Wang, Carey E. Priebe:
Graph Encoder Embedding. - Zhipeng Xue, Chen Zeng, Chenglong Zhou, Yangtao Ge, Lei Wang:
Are you sure you are using this method correctly? Usage Pattern Mining of Code Methods. - Robert Abela, Mark Vella:
Casting exploit analysis as a Weird Machine reconstruction problem. - Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking and More. - Tao Liu:
Biologically Plausible Learning Rules for Perceptual Systems that Maximize Mutual Information. - Jonatas B. C. Chagas, Markus Wagner:
Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach. - Stefan Klikovits, Paolo Arcaini:
KNN-Averaging for Noisy Multi-objective Optimisation. - Laura Aina, Xixian Liao, Gemma Boleda, Matthijs Westera:
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution. - Mihai Oltean, Crina Grosan, Mihaela Oltean:
Evolving Digital Circuits for the Knapsack Problem. - Mihai Oltean:
Evolving winning strategies for Nim-like games. - Mihai Oltean:
Evolving Evolutionary Algorithms using Linear Genetic Programming. - Shifeng Huang, Jiawei Wang, Jiao Xu, Da Cao, Ming Yang:
Recall and Learn: A Memory-augmented Solver for Math Word Problems. - Hyunseok Chang, Matteo Varvello, Fang Hao, Sarit Mukherjee:
Can You See Me Now? A Measurement Study of Zoom, Webex, and Meet. - Ekta Sood, Fabian Kögel, Florian Strohm, Prajit Dhar, Andreas Bulling:
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering. - Tanjida Kabir, Chun-Teh Lee, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Luyao Chen, Muhammad F. Walji, Xioaqian Jiang, Shayan Shams:
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images. - Erik Schultheis, Rohit Babbar:
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization. - Stanley Uros Keller:
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP). - Fidan Samet, Oguz Bakir:
GANiry: Bald-to-Hairy Translation Using CycleGAN. - Matan Halevy, Camille Harris, Amy S. Bruckman, Diyi Yang, Ayanna M. Howard:
Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework. - Giacomo Cappellazzo, Wolfgang Erb, Francesco Marchetti, Davide Poggiali:
On Kosloff Tal-Ezer least-squares quadrature formulas. - Ekta Sood, Fabian Kögel, Philipp Müller, Dominike Thomas, Mihai Bace, Andreas Bulling:
Multimodal Integration of Human-Like Attention in Visual Question Answering. - Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly:
Knowledge-Aware Neural Networks for Medical Forum Question Classification. - Yanpeng Hu, Chundong Wang:
Accelerating LSM-Tree with the Dentry Management of File System. - João Moura, Theodoros Stouraitis, Sethu Vijayakumar:
Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints. - Ali Reza Pedram, Riku Funada, Takashi Tanaka:
Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints. - Rainer Schneckenleitner, Stefan Takacs:
IETI-DP methods for discontinuous Galerkin multi-patch Isogeometric Analysis with T-junctions. - Pritish Sahu, Vladimir Pavlovic:
DAReN: A Collaborative Approach Towards Reasoning And Disentangling. - Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi:
Visual Anomaly Detection for Images: A Survey. - Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha:
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message. - Mihai Bujanca, Xuesong Shi, Matthew Spear, Pengpeng Zhao, Barry Lennox, Mikel Luján:
Robust SLAM Systems: Are We There Yet? - Alexander You, Hannah Kolano, Nidhi Parayil, Cindy Grimm, Joseph R. Davidson:
Precision fruit tree pruning using a learned hybrid vision/interaction controller. - Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li:
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data. - Ahmadreza Saboor Yaraghi, Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel C. Briand:
Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts. - Wenhan Zhu, Haoxiang Zhang, Ahmed E. Hassan, Michael W. Godfrey:
An empirical study of question discussions on Stack Overflow. - Timothy Overbye, Srikanth Saripalli:
G-VOM: A GPU Accelerated Voxel Off-Road Mapping System. - Marcin Pietrasik, Marek Z. Reformat:
Path Based Hierarchical Clustering on Knowledge Graphs. - Hualong Tang, Joseph Post, Achilleas G. Kourtellis, Brian Porter, Yu Zhang:
Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management. - Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu:
Discovering Drug-Target Interaction Knowledge from Biomedical Literature. - Aaqib Saeed:
Consistency Training of Multi-exit Architectures for Sensor Data. - Sergey Petrovich Bobkov, Irina Aleksandrovna Astrakhantseva:
The use of multi-agent systems for modeling technological processes. - Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law:
Using Comics to Introduce and Reinforce Programming Concepts in CS1. - Tugce Ersoy, Elif Hocaoglu:
A 3-DOF Robotic Platform for the Rehabilitation of Reaction Time and Balance Skills of MS Patients. - Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel:
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research. - Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
Spiking neural networks trained via proxy. - Quentin Heinrich, Gautier Viaud, Wacim Belblidia:
FQuAD2.0: French Question Answering and knowing that you know nothing. - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
SAU: Smooth activation function using convolution with approximate identities. - Peng Wu, Chenchen Fu, Tianyu Wang, Minming Li, Yingchao Zhao, Chun Jason Xue, Song Han:
Composite Resource Scheduling for Networked Control Systems. - Adhyyan Narang, Vidya Muthukumar, Anant Sahai:
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective. - Arya Tanmay Gupta, Sandeep S. Kulkarni:
Extending Lattice linearity for Self-Stabilizing Algorithms. - Muhammad Firoz Mridha, Abu Quwsar Ohi, Md. Abdul Hamid, Muhammad Mostafa Monowar:
Challenges and Opportunities of Speech Recognition for Bengali Language. - Sahas Dendukuri, Pooja Chitkara, Joel Ruben Antony Moniz, Xiao Yang, Manos Tsagkias, Stephen Pulman:
Using Pause Information for More Accurate Entity Recognition. - Cristina Bustos, Neska El Haouij, Albert Solé-Ribalta, Javier Borge-Holthoefer, Àgata Lapedriza, Rosalind W. Picard:
Predicting Driver Self-Reported Stress by Analyzing the Road Scene. - Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. - Yuki Markus Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. - Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. - Michael Stalder, Firat Ozdemir, Artur Safin, Jonas Sukys, Damien Bouffard, Fernando Pérez-Cruz:
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network. - Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. - Jonathan S. Kent, Bo Li:
DOODLER: Determining Out-Of-Distribution Likelihood from Encoder Reconstructions. - Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, Desmond Elliott:
Visually Grounded Reasoning across Languages and Cultures. - Kevin Lin:
CS Education for the Socially-Just Worlds We Need: The Case for Justice-Centered Approaches to CS in Higher Education. - Daniel Cunico, Angelo Cenedese, Luca Zaccarian, Mauro Borgo:
Nonlinear modeling and feedback control of boom barrier automation. - Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee:
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation. - Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P:
GANG-MAM: GAN based enGine for Modifying Android Malware. - Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld:
Exploring The Role of Local and Global Explanations in Recommender Systems. - Hongyao Huang, Georgiy Klimenko, Benjamin Raichel:
Clustering with Neighborhoods. - Yue Ding, Karolis Martinkus, Damian Pascual, Simon Clematide, Roger Wattenhofer:
On Isotropy Calibration of Transformers. - Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi:
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning. - Ouahiba Djama:
Introducing the viewpoint in the resource description using machine learning. - Omniyah Gul M. Khan, Amr M. Youssef, Ehab F. El-Saadany, Magdy M. A. Salama:
LSTM-based approach to detect cyber attacks on market-based congestion management methods. - Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis:
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. - Yue Tan, David Liu, Nanqinqin Li, Amit Levy:
How Low Can You Go? Practical cold-start performance limits in FaaS. - Ziwei Wang, Weibang Bai, Zhang Chen, Bo Xiao, Bin Liang, Eric M. Yeatman:
Multiple-Pilot Collaboration for Advanced Remote Intervention using Reinforcement Learning. - Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney:
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. - (Withdrawn) HSS(0): an Improved Hermitian/Skew-Hermitian Splitting Iteration.
- Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska:
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Iztok Fister Jr., Iztok Fister, Andrés Iglesias, Akemi Gálvez, Suash Deb, Dusan Fister:
On deploying the Artificial Sport Trainer into practice. - David G. Harris:
Improved algorithms for Boolean matrix multiplication via opportunistic matrix multiplication. - Enrico Bunde, Niklas Kühl, Christian Meske:
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. - Nikita Durasov, Artem Lukoyanov, Jonathan Donier, Pascal Fua:
DEBOSH: Deep Bayesian Shape Optimization. - Nitish Sontakke, Sehoon Ha:
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning. - Sanjukta Krishnagopal:
Success at high peaks: a multiscale approach combining individual and expedition-wide factors. - Giorgio Nordo, Angelo Maimone:
0-Gaps on 3D Digital Curves. - Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider:
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. - Vince Kurtz, Patrick M. Wensing, Hai Lin:
Control Barrier Functions for Singularity Avoidance in Passivity-Based Manipulator Control. - Maciej Zelaszczyk, Jacek Mandziuk:
Audio-to-Image Cross-Modal Generation. - Mihai Oltean:
Evolving reversible circuits for the even-parity problem. - Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. - Christos Tzelepis, Georgios Tzimiropoulos, Ioannis Patras:
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space. - Nathan Gaby, Fumin Zhang, Xiaojing Ye:
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation. - Luc Vignaud:
IGAN: Inferent and Generative Adversarial Networks. - Tianyu Li, Jungdam Won, Sehoon Ha, Akshara Rai:
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion. - Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
A taxonomy of strategic human interactions in traffic conflicts. - Newsha Emaminejad, Reza Akhavian:
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials. - Farid Shahnavaz, Reza Akhavian:
Automated Estimation of Construction Equipment Emission using Inertial Sensors and Machine Learning Models. - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. - Christian Lenz, Sven Behnke:
Bimanual Telemanipulation with Force and Haptic Feedback and Predictive Limit Avoidance. - Matthew Barthet, Antonios Liapis, Georgios N. Yannakakis:
Go-Blend behavior and affect. - Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding. - Ariel D. Procaccia, Jamie Tucker-Foltz:
Compact Redistricting Plans Have Many Spanning Trees. - Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine:
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets. - Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot:
Unrolling SGD: Understanding Factors Influencing Machine Unlearning. - Yunchou Xing, Theodore S. Rappaport:
Millimeter Wave and Terahertz Urban Microcell Propagation Measurements and Models. - Maho Nakata:
MPLAPACK version 1.0.0 user manual. - Dimitri A. Schreiber, Zhaowei Yu, Hanpeng Jiang, Alexander M. Norbash, Michael C. Yip:
CRANE: a 10 Degree-of-Freedom, Tele-surgical System for Dexterous Manipulation within Imaging Bores. - Yiyi Liao, Jun Xie, Andreas Geiger:
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. - Nils Eckstein, Alexander S. Bates, Gregory S. X. E. Jefferis, Jan Funke:
Discriminative Attribution from Counterfactuals. - Daitao Huang, Qin Yue:
Extended Irreducible Binary Sextic Goppa codes. - Taimeng Fu, Huai Yu, Yaoyu Hu, Sebastian A. Scherer:
Targetless Extrinsic Calibration of Stereo Cameras, Thermal Cameras, and Laser Sensors in the Wild. - Luyao Niu, Hongchao Zhang, Andrew Clark:
Safety-Critical Control Synthesis for Unknown Sampled-Data Systems via Control Barrier Functions. - Prem Chand, Sushant Veer, Ioannis Poulakakis:
Interactive Dynamic Walking: Learning Gait Switching Policies with Generalization Guarantees. - Anna Winnicki, Joseph Lubars, Michael Livesay, R. Srikant:
The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation. - Alan Preciado-Grijalva, Venkata Santosh Sai Ramireddy Muthireddy:
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition. - Chunming Tang, Peng Han, Qi Wang, Jun Zhang, Yanfeng Qi:
An Open Problem on the Bentness of Mesnager's Functions. - Serim Ryou, Pietro Perona:
Weakly Supervised Keypoint Discovery. - Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. - Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon:
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. - Zihan Ding:
Not Only Domain Randomization: Universal Policy with Embedding System Identification. - Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis:
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs. - Xing Luo, Dongxiao Zhang:
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation. - Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha:
To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? - Shengduo Chen, Yaowei Sun, Dachuan Li, Qiang Wang, Qi Hao, Joseph Sifakis:
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles. - Kate Qi Zhou, Yan Qin, Billy Pik Lik Lau, Chau Yuen, Stefan Adams:
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping. - Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. - Xinhua Wang, Alexei Ashikhmin, Zhicheng Dong, Chao Zhai:
Two-Stage Channel Estimation Approach for Cell-Free IoT With Massive Random Access. - Alexander Zech, Timur Bazhirov:
CateCom: a practical data-centric approach to categorization of computational models. - Yujeong Chae, Lin Wang, Kuk-Jin Yoon:
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks. - James Freitag, Neshat Mohammadi, Aditya Potukuchi, Lev Reyzin:
On the Geometry of Stable Steiner Tree Instances. - Gaurav Gupta, Xiongye Xiao, Paul Bogdan:
Multiwavelet-based Operator Learning for Differential Equations. - Siu-Wing Cheng, Man Ting Wong:
Self-Improving Voronoi Construction for a Hidden Mixture of Product Distributions. - Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. - Carleton Imbens:
Chickens and Dukes. - Jiuling Zhang, Zhiming Ding:
Delve into the Performance Degradation of Differentiable Architecture Search. - Han Zhou, WenYi Tian:
Two time-stepping schemes for sub-diffusion equations with singular source terms. - Priyanka Meel, Dinesh Kumar Vishwakarma:
Fake News Detection using Semi-Supervised Graph Convolutional Network. - Youtian Guo, Qi Gao:
Exploring More When It Needs in Deep Reinforcement Learning. - Bidisha Sharma, Maulik C. Madhavi, Xuehao Zhou, Haizhou Li:
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification. - Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi:
Towards Rotation Invariance in Object Detection. - Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tur:
"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. - Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen:
Restructuring Serverless Computing with Data-Centric Function Orchestration. - Seng W. Loke:
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation. - Giseop Kim, Sunwook Choi, Ayoung Kim:
Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments. - Li Li, Hirokazu Kameoka, Shoji Makino:
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures. - Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. - Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig:
Learning to Superoptimize Real-world Programs. - Zixu Zhao, Yueming Jin, Pheng-Ann Heng:
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning. - Joshua A. Chesser, Hoa Van Nguyen, Damith C. Ranasinghe:
The Megopolis Resampler: Memory Coalesced Resampling on GPUs. - Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy:
AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection. - Khaled Hechmi, Trung Ngo Trong, Ville Hautamäki, Tomi Kinnunen:
VoxCeleb Enrichment for Age and Gender Recognition. - Antoine Guillaume, Christel Vrain, Wael Elloumi:
Convolutional Shapelet Transform: A new approach for time series shapelets. - Tongda Sun, Gang Yu:
A multi-stage semi-supervised improved deep embedded clustering (MS-SSIDEC) method for bearing fault diagnosis under the situation of insufficient labeled samples. - Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. - Qianmengke Zhao, Ye Wang, Qun Liu:
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models. - Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang:
Template-free Prompt Tuning for Few-shot NER. - Lei Wang, Shihui Zhang, Huan He, Xiaoxiao Zhang, Yu Sang:
A hierarchical residual network with compact triplet-center loss for sketch recognition. - Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. - Prajval Kumar Murali, Mohsen Kaboli:
On the Empirical Evaluation of Information Gain Criteria for Active Action Selection. - Yuesheng Xu, Haizhang Zhang:
Convergence of Deep Convolutional Neural Networks. - Stefan Wagner, Marvin Wyrich:
Code Comprehension Confounders: A Study of Intelligence and Personal. - Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler:
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. - Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli:
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement. - Julius Rückin, Liren Jin, Marija Popovic:
Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing. - Sunah Min, Jinyoung Moon:
Information Elevation Network for Fast Online Action Detection. - Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King:
Multimodality in Meta-Learning: A Comprehensive Survey. - Antoine Chaffin, Vincent Claveau, Ewa Kijak:
Generating texts under constraint through discriminator-guided MCTS. - Yue Han, Dusit Niyato, Cyril Leung, Chunyan Miao, Dong In Kim:
Dynamics in Coded Edge Computing for IoT: A Fractional Evolutionary Game Approach. - Elie Aljalbout, Maximilian Ulmer, Rudolph Triebel:
Making Curiosity Explicit in Vision-based RL. - Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. - Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video. - Lin Fan, Peter W. Glynn:
The Fragility of Optimized Bandit Algorithms. - Astrid Merckling, Nicolas Perrin-Gilbert, Alexandre Coninx, Stéphane Doncieux:
Exploratory State Representation Learning. - Abdalla Swikir, Majid Zamani:
Compositional Abstractions of Interconnected Discrete-Time Switched Systems. - Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska:
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. - Volker Grimm, Kevin Liang:
An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion. - Katharine A. Shapcott, Alex D. Bird:
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional data. - Nikolai Solmsdorf, Dietrich Trautmann, Hinrich Schütze:
Active Learning for Argument Mining: A Practical Approach. - Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam:
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems. - Nikita Moghe, Mark Steedman, Alexandra Birch:
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking. - Feng Yu, He Li, Sige Bian, Yongming Tang:
An Efficient Network Design for Face Video Super-resolution. - Julien Bensmail, François Dross, Nacim Oijid, Éric Sopena:
Generalising the achromatic number to Zaslavsky's colourings of signed graphs. - Xavier Alejandro Flores Cabezas, Diana Pamela Moya Osorio, Matti Latva-aho:
Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks. - Riccardo Focardi, Flaminia L. Luccio:
A Formally Verified Configuration for Hardware Security Modules in the Cloud. - Giuseppe Ng, Charibeth Cheng:
Investigation of Dataset Features for Just-in-Time Defect Prediction. - Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó:
Adopting Automated Bug Assignment in Practice - A Registered Report of an Industrial Case Study. - Simon Porter:
Measuring Research Information Citizenship Across ORCID Practice. - Weidong Mei, Beixiong Zheng, Changsheng You, Rui Zhang:
Intelligent Reflecting Surface Aided Wireless Networks: From Single-Reflection to Multi-Reflection Design and Optimization. - Jie Cai, Sarah J. Ryu, Hyejin Hannah Kum-Biocca, Donghee Yvette Wohn:
Understanding Working from Home Practical Changes and Adaptations During the COVID-19 Pandemic. - Jennie Andersen, Brice Chardin, Mohamed Tribak:
Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints. - Michael Hagenow, Michael R. Zinn, Terrence Fong, Evan Laske, Kimberly A. Hambuchen:
Affordance Template Registration via Human-in-the-loop Corrections. - Akira Imakura, Tetsuya Sakurai:
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. - Joel Ostblom, Tiffany Timbers:
Opinionated practices for teaching reproducibility: motivation, guided instruction and practice. - Gunnar Stefansson, Anna Helga Jónsdóttir:
Learning and evaluation without access to schools during COVID-19. - Guillaume Michel, Durgesh Haribhau Salunkhe, Philippe Bordure, Damien Chablat:
Literature Review on Endoscopic Robotic Systems in Ear and Sinus Surgery. - Nigel P. Duffy, Sai Akhil Puranam, Sridhar Dasaratha, Karmvir Singh Phogat, Sunil Reddy Tiyyagura:
DeepPSL: End-to-end perception and reasoning with applications to zero shot learning. - Yi-Ling Chung, Marco Guerini, Rodrigo Agerri:
Multilingual Counter Narrative Type Classification. - Patricia Callejo, Marco Gramaglia, Rubén Cuevas, Ángel Cuevas:
A deep dive into the accuracy of IP Geolocation Databases and its impact on online advertising. - Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen:
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. - Alejandro Lancho, Johan Östman, Giuseppe Durisi:
On Joint Detection and Decoding in Short-Packet Communications. - Shilun Lin, Wen-Chao Su, Li Meng, Fenglong Xie, Xinhui Li, Li Lu:
Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS. - Manh Luong, Viet-Anh Tran:
FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis. - Peter Danielis, Helge Parzyjegla, Gero Mühl, Eike Schweißguth, Dirk Timmermann:
Frame Replication and Elimination for Reliability in Time-Sensitive Networks. - Renan Andrades, Mariana Recamonde Mendoza:
Machine learning methods for prediction of cancer driver genes: a survey paper. - Michael Beyer, Steven Mills:
Preemptive Two-stage Goal-Programming Formulation of a Strict Version of the Unbounded Knapsack Problem with Bounded Weights. - Mayet Johannes, Kammermeier Benjamin:
Mechanical Normal Form of First Order State-Space Systems. - Gaojun Luo, Martianus Frederic Ezerman, San Ling:
Three New Infinite Families of Optimal Locally Repairable Codes from Matrix-Product Codes. - Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu:
Motion Deblurring with Real Events. - Samuel Harford, Fazle Karim, Houshang Darabi:
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers. - Gaojun Luo, Martianus Frederic Ezerman, San Ling:
New Interleaving Constructions of Asymptotically Optimal Periodic Quasi-Complementary Sequence Sets. - Sreelekha Guggilam, Varun Chandola, Abani K. Patra:
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle. - Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila:
CIDEr-R: Robust Consensus-based Image Description Evaluation. - Qiang Fu, Dong-Ming Yan, Wolfgang Heidrich:
Compound eye inspired flat lensless imaging with spatially-coded Voronoi-Fresnel phase. - Daniel Ruijters:
Common Artifacts in Volume Rendering. - Alexa Muratyan, William Cheung, Sayanton V. Dibbo, Sudip Vhaduri:
Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables. - Mehar Bhatia, Tenzin Singhay Bhotia, Akshat Agarwal, Prakash Ramesh, Shubham Gupta, Kumar Shridhar, Felix Laumann, Ayushman Dash:
One to rule them all: Towards Joint Indic Language Hate Speech Detection. - Konrad Kollnig, Anastasia Shuba, Reuben Binns, Max Van Kleek, Nigel Shadbolt:
Are iPhones Really Better for Privacy? Comparative Study of iOS and Android Apps. - Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. - Preslav Nakov, Hwee Tou Ng:
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. - Dame Jovanoski, Veno Pachovski, Preslav Nakov:
Sentiment Analysis in Twitter for Macedonian. - Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. - Haohe Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang:
VoiceFixer: Toward General Speech Restoration With Neural Vocoder. - Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg:
IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners. - Naveen Pai, Sean Zhang, Mor Harchol-Balter:
Computing the Death Rate of COVID-19. - Paulo A. F. Rezeck, Renato M. Assunção, Luiz Chaimowicz:
Cooperative Object Transportation using Gibbs Random Fields. - Ryan Siskind, Shalin Shah:
Multi-Task Triplet Loss for Named Entity Recognition using Supplementary Text. - Mihai Oltean, Crina Grosan:
Evolving Evolutionary Algorithms using Multi Expression Programming. - Mihai Oltean:
Searching for a practical evidence of the No Free Lunch theorems. - Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou:
Adaptive Attribute and Structure Subspace Clustering Network. - Micah Burkhardt, Roman V. Yampolskiy:
Death in Genetic Algorithms. - Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares:
Meta-aprendizado para otimizacao de parametros de redes neurais. - Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski:
Stable training of autoencoders for hyperspectral unmixing. - Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier:
StereoSpike: Depth Learning with a Spiking Neural Network. - Alexey Strokach, Philip M. Kim:
Deep Generative Modeling for Protein Design. - Minjia Shi, Hongwei Zhu, Tor Helleseth:
The connections among Hamming metric, $b$-symbol metric, and $r$-th generalized Hamming metric. - Hoeyun Kwon, Kaitlyn Hom, Mark Rifkin, Beichen Tian, Caglar Koylu:
Exploring the spatiotemporal heterogeneity in the relationship between human mobility and COVID-19 prevalence using dynamic time warping. - Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell:
On Homophony and Rényi Entropy. - Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings. - David Moreno-Lumbreras, Gregorio Robles, Daniel Izquierdo-Cortazar, Jesús M. González-Barahona:
To VR or not to VR: Is virtual reality suitable to understand software development metrics? - Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health. - Robert Ramac, Vladimir Mandic, Nebojsa Tausan, Nicolli Rios, Sávio Freire, Boris Pérez, Camilo Castellanos, Darío Correal, Alexia Pacheco, Gustavo López, Clemente Izurieta, Carolyn B. Seaman, Rodrigo O. Spínola:
Prevalence, Common Causes and Effects of Technical Debt: Results from a Family of Surveys with the IT Industry. - Max Schwarz, Christian Lenz, Andre Rochow, Michael Schreiber, Sven Behnke:
NimbRo Avatar: Interactive Immersive Telepresence with Force-Feedback Telemanipulation. - Johann Dréo, Manuel López-Ibáñez:
Extensible Logging and Empirical Attainment Function for IOHexperimenter. - Yuling Chen, Jing Sun, Yixian Yang, Tao Li, Xinxin Niu, Huiyu Zhou:
PSSPR: A Source Location Privacy Protection Scheme Based on Sector Phantom Routing in WSNs. - Karolína Dockalová Burská, Vít Rusnák, Radek Oslejsek:
Data-driven insight into the puzzle-based cybersecurity training. - Kaan Gökcesu, Hakan Gökcesu:
Near-Linear Time Algorithm with Near-Logarithmic Regret Per Switch for Mixable/Exp-Concave Losses. - Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, Bei Yu, Yuan Yan Tang, Jiaya Jia:
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask. - Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner:
The VVAD-LRS3 Dataset for Visual Voice Activity Detection. - Shirin Panahi, Isaac S. Klickstein, Francesco Sorrentino:
Cluster Synchronization of Networks via a Canonical Transformation for Simultaneous Block Diagonalization of Matrices. - Valentin Dalibard, Max Jaderberg:
Faster Improvement Rate Population Based Training. - Hongwei Zhu, Minjia Shi, Xiaoqiang Wang, Tor Helleseth:
The $q$-ary antiprimitive BCH codes. - Rex Chen, Fei Fang, Thomas B. Norton, Aleecia M. McDonald, Norman M. Sadeh:
Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. - Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail A. Kudinov, Jiansheng Wei:
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme. - Thi Thu Hang Do, Markus Dobler, Niklas Kühl:
What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. - Max Schemmer, Niklas Kühl, Gerhard Satzger:
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence. - Xinze Li, Baixi Zou:
An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data. - Maryam Sharifi, Abdalla Swikir, Navid Noroozi, Majid Zamani:
Compositional Construction of Abstractions for Infinite Networks of Switched Systems. - Rabee Jibrin, Stuart Hillmansen, Clive Roberts, Ning Zhao, Zhongbei Tian:
Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains. - Connor Bolton, Yan Long, Jun Han, Josiah D. Hester, Kevin Fu:
Touchtone leakage attacks via smartphone sensors: mitigation without hardware modification. - Yifeng Zhu, Peter Stone, Yuke Zhu:
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation. - Miguel Picallo, Dominic Liao-McPherson, Saverio Bolognani, Florian Dörfler:
Cross-layer Design for Real-Time Grid Operation: Estimation, Optimization and Power Flow. - Aaron S. Coyner, Praveer Singh, James M. Brown, Susan Ostmo, R. V. Paul Chan, Michael F. Chiang, Jayashree Kalpathy-Cramer, J. Peter Campbell:
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. - Shuo Sun, Rundong Wang, Bo An:
Reinforcement Learning for Quantitative Trading. - Saeid Alimoradi, Xinghua Gao:
Intelligence Complements from the Built Environment: A review of Smart Building Technologies for Cognitively Declined Occupants. - Vrushabh Zinage, Takashi Tanaka, Valeri A. Ugrinovskii:
Optimal Sensor Gain Control for Minimum-Information Estimation of Continuous-Time Gauss-Markov Processes. - Alexey Tikhonov, Ivan P. Yamshchikov:
Chekhov's Gun Recognition. - Bhavesh Kumar:
ViT Cane: Visual Assistant for the Visually Impaired. - Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang:
Domain Generalization for Vision-based Driving Trajectory Generation. - Chahat Deep Singh, Nitin J. Sanket, Chethan M. Parameshwara, Cornelia Fermüller, Yiannis Aloimonos:
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction. - Chengcheng Ye:
Introduce the Result Into Self-Attention. - Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan:
Visual resemblance and communicative context constrain the emergence of graphical conventions. - Ted Moskovitz, Spencer R. Wilson, Maneesh Sahani:
A First-Occupancy Representation for Reinforcement Learning. - Cristiano Chesi:
Expectation-based Minimalist Grammars. - Zeyad Khashroum, Ali Dehghan Chaharabi, Lorena Palmero, Keiichiro Yasukawa:
Establishment and placement of a Multi-purpose Phasor measurement unit to improve parallel state estimation in distribution Networks. - Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Adriano Fragomeni, Daniele Pannone:
3D Hand Pose and Shape Estimation from RGB Images for Improved Keypoint-Based Hand-Gesture Recognition. - Dan Friedman, Ben Dodge, Danqi Chen:
Single-dataset Experts for Multi-dataset Question Answering. - Ana Paula G. S. de Almeida, Flavio de Barros Vidal:
Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation. - Thore Graepel, Ralf Herbrich:
A PAC-Bayesian Analysis of Distance-Based Classifiers: Why Nearest-Neighbour works! - Esam Alzahrani, Leon Jololian:
How Different Text-preprocessing Techniques Using The BERT Model Affect The Gender Profiling of Authors. - Damir Cavar, Billy Dickson, Ali Aljubailan, Soyoung Kim:
Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0. - Pedro Cabalar, Brais Muñiz, Gilberto Pérez, Francisco Suárez:
Explainable Machine Larning for liver transplantation. - Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. - Donatella Occorsio, Giuliana Ramella, Woula Themistoclakis:
Image scaling by de la Vallée-Poussin filtered interpolation. - Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. - Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee:
A Contrastive Learning Approach to Auroral Identification and Classification. - Ziming Liu, Yunyue Chen, Yuanqi Du, Max Tegmark:
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning. - Anabel Quan-Haase, Molly-Gloria Harper, Barry Wellman:
The Role of Communication Technology Across the Life Course: A Field Guide to Social Support in East York. - Maura R. Grossman, Gordon V. Cormack:
The eDiscovery Medicine Show. - Shiyang Lu, Rui Wang, Yinglong Miao, Chaitanya Mitash, Kostas E. Bekris:
Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation. - Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. - Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull:
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. - Scott McClellan, Mat Kelly, Jane Greenberg:
Modeling Ephraim Chambers' Knowledge Structure from a Naive Standpoint. - Dan Hendrycks, Nicholas Carlini, John Schulman, Jacob Steinhardt:
Unsolved Problems in ML Safety. - Bruce Changlong Xu:
Separating Circuits : Switching Lemmas and Random Restrictions. - Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang:
Click-through Rate Prediction with Auto-Quantized Contrastive Learning. - Charuta Pande, Hans Friedrich Witschel, Andreas Martin:
New Hybrid Techniques for Business Recommender Systems. - Onur Kara, Arijit Sehanobish, Hector H. Corzo:
Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models. - Xavier Alejandro Flores Cabezas, Diana Pamela Moya Osorio, Matti Latva-aho:
Distributed UAV-enabled zero-forcing cooperative jamming scheme for safeguarding future wireless networks. - Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava:
Bit Complexity of Jordan Normal Form and Spectral Factorization. - Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. - Tarannom Parhizkar, Ali Mosleh:
Guided Probabilistic Simulation of Complex Systems Toward Rare and Extreme Events. - Minghong Yao, Zhiguang Liu, Liangwei Wang, Houqiang Li, Liansheng Zhuang:
One-shot Key Information Extraction from Document with Deep Partial Graph Matching. - Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning via Introspective Perception. - Ali Reza Pedram, Riku Funada, Takashi Tanaka:
Gaussian Belief Space Path Planning for Minimum Sensing Navigation. - Leo Benac, Frédéric Godin:
Risk averse non-stationary multi-armed bandits. - Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern:
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations. - Luca Accorsi, Andrea Lodi, Daniele Vigo:
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems. - Tanvi Dadu, Kartikey Pant, Seema Nagar, Ferdous Ahmed Barbhuiya, Kuntal Dey:
Text Simplification for Comprehension-based Question-Answering. - Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics. - Pei Yang, Dongning Guo, Hongwen Yang:
Asynchronous Massive Access in Multi-cell Wireless Networks Using Reed-Muller Codes. - Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi:
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models. - S. Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam:
IGLU: Efficient GCN Training via Lazy Updates. - C. H. Leung, María E. Gibbs, Philip E. Paré:
The Impact of Vaccine Hesitancy on Epidemic Spreading. - Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto:
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. - Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava:
Joint Communication and Motion Planning for Cobots. - Ekaterina Taktasheva, Vladislav Mikhailov, Ekaterina Artemova:
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations. - Saleh Albeaik, Trevor Wu, Ganeshnikhil Vurimi, Xiao-Yun Lu, Alexandre M. Bayen:
Longitudinal Deep Truck: Deep learning and deep reinforcement learning for modeling and control of longitudinal dynamics of heavy duty trucks. - Marija Ivanovska, Vitomir Struc:
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection. - Yair Ben Sahel, John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar:
Deep Unrolled Recovery in Sparse Biological Imaging. - Fernando Acero, Kai Yuan, Zhibin Li:
Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations. - Krishnan Raghavan, Prasanna Balaprakash:
Formalizing the Generalization-Forgetting Trade-off in Continual Learning. - Hillary Dawkins:
Marked Attribute Bias in Natural Language Inference. - Keyvan Majd, Siyu Zhou, Heni Ben Amor, Georgios Fainekos, Sriram Sankaranarayanan:
Local Repair of Neural Networks Using Optimization. - Jaroslaw Jankowski:
Habituation Effect in Social Networks as a Potential Factor Silently Crushing Influence Maximisation Efforts. - Hillary Dawkins:
Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution. - Md Khadimul Islam, Arjuna Madanayake, Shubhendu Bhardwaj:
Design of Maximum-Gain Dielectric Lens Antenna via Phase Center Analysis. - Ana Sabina Uban, Cornelia Caragea:
Generating Summaries for Scientific Paper Review. - Peng Zou, Jin Zhang, Xianglin Wei, Suresh Subramaniam:
Overage and Staleness Metrics for Status Update Systems. - Hamed Nassar, Gehad Taher, El-Sayed El-Hady:
Stochastic geometric modelling and simulation of cellular systems for coverage probability characterization. - Md Khadimul Islam, Arjuna Madanayake, Shubhendu Bhardwaj:
Orbital Angular Momentum (OAM) Carrying Vortex Wave generation in Dielectric Filled Circular Waveguide. - Subodh Mishra, Armin Parchami, Enrique Corona, Punarjay Chakravarty, Ankit Vora, Devarth Parikh, Gaurav Pandey:
Localization of a Smart Infrastructure Fisheye Camera in a Prior Map for Autonomous Vehicles. - Amal Rizvi, Kyle C. Hale:
A Look at Communication-Intensive Performance in Julia. - Cleophas Kweyu, Venera Khoromskaia, Boris N. Khoromskij, Matthias Stein, Peter Benner:
Solution decomposition for the nonlinear Poisson-Boltzmann equation using the range-separated tensor format. - Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller:
RAFT: A Real-World Few-Shot Text Classification Benchmark. - Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg:
Learning Periodic Tasks from Human Demonstrations. - Longxiu Huang, Deanna Needell, Sui Tang:
Robust recovery of bandlimited graph signals via randomized dynamical sampling. - Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. - Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer:
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. - Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg:
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. - Mohammad Bahrami, Hamidreza Jafarnejadsani:
Privacy-Preserving Stealthy Attack Detection in Multi-Agent Control Systems. - Marilia Abílio Ramos, Camille Major, Nsimah J. Ekanem, Cesar Malpica, Ali Mosleh:
Human Reliability Analysis for Oil and Gas Operations: Analysis of Existing Methods. - Gouri Deshpande, Guenther Ruhe, Chad Saunders:
How Much Data Analytics is Enough? The ROI of Machine Learning Classification and its Application to Requirements Dependency Classification. - Venkata Devesh Reddy Seethi, Zane LaCasse, Prajkta Chivte, Elizabeth R. Gaillard, Pratool Bharti:
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry. - Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink:
Modeling and Control of Google bittide Synchronization. - Sergio Abriola, Santiago Cifuentes, María Vanina Martínez, Nina Pardal, Edwin Pin Baque:
An epistemic approach to model uncertainty in data-graphs. - Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha:
Visually Grounded Concept Composition. - Wenjing Li, Randy C. Paffenroth, David Berthiaume:
Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity. - Jonas Geiping, Micah Goldblum, Phillip E. Pope, Michael Moeller, Tom Goldstein:
Stochastic Training is Not Necessary for Generalization. - Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. - Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams:
Vitruvion: A Generative Model of Parametric CAD Sketches. - Andrew Berns:
Applications and Implications of a General Framework for Self-Stabilizing Overlay Networks. - Andrew Berns:
Network Scaffolding for Efficient Stabilization of the Chord Overlay Network. - Rui Zhou, Hongyu Zhou, Masayoshi Tomizuka, Jiachen Li, Zhuo Xu:
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting. - Yihao Guo, Zhiguo Wan, Xiuzhen Cheng:
When Blockchain Meets Smart Grids: A Comprehensive Survey. - Chen Liang, Yawei Luo, Yu Wu, Yi Yang:
Contrastive Video-Language Segmentation. - Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. - Baike She, Humphrey C. H. Leung, Shreyas Sundaram, Philip E. Paré:
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics. - Hao Lin, Weiqi Luo, Kangkang Wei, Minglin Liu:
Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection. - Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao:
Geometry-Entangled Visual Semantic Transformer for Image Captioning. - Gyugeun Yoon, Joseph Y. J. Chow, Srushti Rath:
A simulation sandbox to compare fixed-route, flexible-route transit, and on-demand microtransit system designs. - Lifu Wang, Bo Shen, Bo Hu, Xing Cao:
On the Provable Generalization of Recurrent Neural Networks. - Sascha Witt:
Extending the Time Horizon: Efficient Public Transit Routing on Arbitrary-Length Timetables. - Ting-Rui Chiang, Yi-Ting Yeh:
Improving Dialogue State Tracking by Joint Slot Modeling. - Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. - Brian Thompson, Ali Alshehri:
Improving Arabic Diacritization by Learning to Diacritize and Translate. - Hongkai Dai, Benoit Landry, Lujie Yang, Marco Pavone, Russ Tedrake:
Lyapunov-stable neural-network control. - Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim:
Customs Fraud Detection in the Presence of Concept Drift. - Wentao Weng, Yang Yu:
Labor-right Protecting Dispatch of Meal Delivery Platforms. - De Cheng, Jingyu Zhou, Nannan Wang, Xinbo Gao:
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id. - Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Second-Order Neural ODE Optimizer. - Shuhao Shi, Pengfei Xie, Xu Luo, Kai Qiao, Linyuan Wang, Jian Chen, Bin Yan:
Adaptive Multi-layer Contrastive Graph Neural Networks. - Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li:
Can multi-label classification networks know what they don't know? - Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil:
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty. - Yang Yang, Caili Guo, Fangfang Liu, Chuanhong Liu, Lunan Sun, Qizheng Sun, Jiujiu Chen:
Semantic Communications With AI Tasks. - Yaping Zhao, Guanghan Li, Zhongrui Wang:
TSAMT: Time-Series-Analysis-based Motion Transfer among Multiple Cameras. - Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. - Hans De Sterck, Yunhui He:
Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis. - Hongkyoon Byun, Jonghyuk Kim, Dikai Liu, Jonathan Woolfrey:
Towards a Pantograph-based Interventional AUV for Under-ice Measurement. - Annie T. Chen, Camille Lyans Cole:
Reflexivity in Issues of Scale and Representation in a Digital Humanities Project. - Yilin Liu, Yiming Lin, Rongkai Shi, Yiming Luo, Hai-Ning Liang:
RelicVR: A Virtual Reality Game for Active Exploration of Archaeological Relics. - Olusesan Michael Awoleye:
Reconfiguring Data Infrastructure Ecosystem in Africa: A Primer Toward Digital Sovereignty. - Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann, Jessica Chan, Phuong-Anh T. Duong, Vivek Srikumar, Trafton Drew, Joyce D. Schroeder, Tolga Tasdizen:
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays. - Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang:
Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning. - Kaile Huang, Hengfeng Wei, Yu Huang, Haixiang Li, Anqun Pan:
Byz-GentleRain: An Efficient Byzantine-tolerant Causal Consistency Protocol. - Cong Wang, Yu Chen, Jun He, Xiufen Zou:
Influence of the Binomial Crossover on Performance of Randomized Search Heuristics. - Namyup Kim, Taeyoung Son, Cuiling Lan, Wenjun Zeng, Suha Kwak:
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. - H. Muhammad Shakeel, Rashid Khan, Muhammad Waheed:
Context based Roman-Urdu to Urdu Script Transliteration System. - Kai Ming Ting, Takashi Washio, Ye Zhu, Yang Xu:
Breaking the curse of dimensionality with Isolation Kernel. - Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim:
Who says like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning. - Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. - Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki:
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. - Guoxin Sun, Tansu Alpcan, Benjamin I. P. Rubinstein, Seyit Camtepe:
A Communication Security Game on Switched Systems for Autonomous Vehicle Platoons. - Peng W. Zhang, Francis Chung-Ming Lau, Chiu-Wing Sham:
Spatially Coupled PLDPC-Hadamard Convolutional Codes. - Zehao Dou, Yuanzhi Li:
On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization. - Alexander Krause, Malte Hansen, Wilhelm Hasselbring:
Live Visualization of Dynamic Software Cities with Heat Map Overlays. - Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon:
Equivariant Neural Network for Factor Graphs. - Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang:
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. - Sajad Hassan, Hongkyoon Byun, Jonghyuk Kim:
Iterative Smoothing and Outlier Detection for Underwater Navigation. - Hongkyoon Byun, Jonghyuk Kim, Fernando Vanegas, Felipe Gonzalez:
Schmidt or Compressed filtering for Visual-Inertial SLAM? - Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke:
A Next Basket Recommendation Reality Check. - Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard, Marie-Laure Martin-Magniette:
Error rate control for classification rules in multiclass mixture models. - Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr:
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. - Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. - Chao Shu, Zhuoran Xin, Cheng Xie:
EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction. - Hadeel Saadany, Constantin Orasan:
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text. - Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Liang Lin:
Road Network Guided Fine-Grained Urban Traffic Flow Inference. - Liren Jin, Julius Rückin, Stefan H. Kiss, Teresa A. Vidal-Calleja, Marija Popovic:
Adaptive-Resolution Gaussian Process Mapping for Efficient UAV-based Terrain Monitoring. - Mengyi Gao, Canran Xu, Peng Shi:
Hierarchical Character Tagger for Short Text Spelling Error Correction. - Paul Duetting, Tomer Ezra, Michal Feldman, Thomas Kesselheim:
Combinatorial Contracts. - Charlotte Out, Ahad N. Zehmakan:
Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites. - Fabian Hart, Ostap Okhrin, Martin Treiber:
Formulation and validation of a car-following model based on deep reinforcement learning. - (Withdrawn) Dynamic Emotions of Supporters and Opponents of Anti-racism Movement from George Floyd Protests.
- Imran Adham, Jesús A. De Loera, Zhenyang Zhang:
(Machine) Learning to Improve the Empirical Performance of Discrete Algorithms. - Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. - Norman Marlier, Olivier Brüls, Gilles Louppe:
Simulation-based Bayesian inference for multi-fingered robotic grasping. - Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi:
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. - Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, Jean Ponce:
Localizing Objects with Self-Supervised Transformers and no Labels. - Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang:
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. - Maximilian Hils, Daniel W. Woods, Rainer Böhme:
Conflicting Privacy Preference Signals in the Wild. - Yamen Ali, Aiham Taleb, Marina M.-C. Höhne, Christoph Lippert:
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout. - John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello:
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks. - Jakob Stenseke:
Persistent homology and the shape of evolutionary games. - Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin:
Greedy algorithms for learning via exponential-polynomial splines. - Ali Ahmadian Ramaki, Abbas Ghaemi Bafghi, Abbas Rasoolzadegan:
Towards event aggregation for reducing the volume of logged events during IKC stages of APT attacks. - Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis. - Vladimir V'yugin, Vladimir G. Trunov:
Online Aggregation of Probability Forecasts with Confidence. - Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa:
Learning Dynamics Models for Model Predictive Agents. - Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu:
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks. - Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha:
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. - Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
Large-scale Crash Localization using Multi-Task Learning. - Ashwin Ahuja, Andrea Ferlini, Cecilia Mascolo:
PilotEar: Enabling In-ear Inertial Navigation. - Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. - Kevser Sahinbas, Ferhat Özgür Çatak:
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems. - Romain Ducrocq, Nadir Farhi:
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection. - Jianlong Zhou, Sunny Verma, Mudit Mittal, Fang Chen:
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making. - Masaaki Yamauchi, Masahiro Tanaka, Yuichi Ohsita, Masayuki Murata, Kensuke Ueda, Yoshiaki Kato:
Smart-home anomaly detection using combination of in-home situation and user behavior. - Shahin Roozkhosh, Denis Hoornaert, Ju Hyoung Mun, Tarikul Islam Papon, Ulrich Drepper, Renato Mancuso, Manos Athanassoulis:
Relational Memory: Native In-Memory Accesses on Rows and Columns. - Alexey Birshert, Ekaterina Artemova:
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models. - A. A. Burkov:
Signal power and energy-per-bit optimization problems in systems mMTC. - Conghui Li, Humphrey O. Obie, Hourieh Khalajzadeh:
A First Step Towards Detecting Values-violating Defects in Android APIs. - Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammad Ghafari:
Worrisome Patterns in Developers: A Survey in Cryptography. - Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar:
Multilingual Fact Linking. - Philipp A. Guth, Andreas Van Barel:
Multilevel Quasi-Monte Carlo for Optimization under Uncertainty. - Svetlana Tchistiakova, Jesujoba O. Alabi, Koel Dutta Chowdhury, Sourav Dutta, Dana Ruiter:
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT. - Parvin Nazari, Esmaile Khorram:
Dynamic Regret Analysis for Online Meta-Learning. - Dana Pessach, Tamir Tassa, Erez Shmueli:
Fairness-Driven Private Collaborative Machine Learning. - Arne Boockmeyer, Dirk Friedenberger, Lukas Pirl, Robert Schmid, Andreas Polze, Heiko Herholz, Gisela Freiin von Arnim, Pedro Lehmann Ibáñez, Torsten Friedrich, Christoph Klaus, Christian Wilhelmi:
From CCS-Planning to Testautomation: The Digital Testfield of Deutsche Bahn in Scheibenberg - A Case Study. - Fangcen Liu, Chenqiang Gao, Fang Chen, Deyu Meng, Wangmeng Zuo, Xinbo Gao:
Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds. - Catholijn M. Jonker, Jan Treur:
From Organisational Structure to Organisational Behaviour Formalisation. - Jeong-geun Song:
UFO-ViT: High Performance Linear Vision Transformer without Softmax. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Computing the average inter-sample time of event-triggered control using quantitative automata. - Michael Lehenauer, Stefan Wintersteller, Martin Uray, Stefan Huber:
Industrial Application of Artificial Intelligence to the Traveling Salesperson Problem. - Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, Prodromos Malakasiotis:
EDGAR-CORPUS: Billions of Tokens Make The World Go Round. - Alexey Tikhonov, Igor Samenko, Ivan P. Yamshchikov:
StoryDB: Broad Multi-language Narrative Dataset. - Beibei Wang, Wenhua Jin, Jiahui Fan, Jian Yang, Nicolas Holzschuch, Ling-Qi Yan:
Position-free Multiple-bounce Computations for Smith Microfacet BSDFs. - Jia Guo, Stanley Kok:
BiQUE: Biquaternionic Embeddings of Knowledge Graphs. - Sebastian Gajek, Matti Schneider, Thomas Böhlke:
An FE-DMN method for the multiscale analysis of thermodynamical composites. - Mikolaj Czerkawski, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis:
Neural Knitworks: Patched Neural Implicit Representation Networks. - David Gamarnik:
The Overlap Gap Property: a Geometric Barrier to Optimizing over Random Structures. - James A. Grant, David S. Leslie:
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification. - Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang:
On the Estimation Bias in Double Q-Learning. - Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu:
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. - Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini:
Multi-class Probabilistic Bounds for Self-learning. - Minglei You, Qian Wang, Hongjian Sun, Ivan Castro, Jing Jiang:
Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties. - Yassir Jedra, Alexandre Proutière:
Minimal Expected Regret in Linear Quadratic Control. - Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano, Ana Carolina Lorena:
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis. - Lorenzo Diazzi, Marco Attene:
Convex polyhedral meshing for robust solid modeling. - Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi, Abeer Alsadoon, Nebojsa Bacanin, Shahla U. Umar, Ahmed S. Shamsaldin, Mokhtar Mohammadi:
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants. - Yassine Mekdad, Ahmet Aris, Leonardo Babun, Abdeslam El Fergougui, Mauro Conti, Riccardo Lazzeretti, A. Selcuk Uluagac:
A Survey on Security and Privacy Issues of UAVs. - Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang:
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective. - Aswin C. Sankaranarayanan, Vishwanath Saragadam, Vijay Rengarajan, Ryuichi Tadano, Tuo Zhuang, Hideki Oyaizu, Jun Murayama:
Programmable Spectral Filter Arrays for Hyperspectral Imaging. - Hind Alamro, Manal Alshehri, Basma Alharbi, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang:
Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST. - Rey C. Rodrigueza, Maria Regina Justina E. Estuar:
A Spatial Agent-Based Model for Preemptive Evacuation Decisions During Typhoon. - Muhammad Aneeq uz Zaman, Sujay Bhatt, Tamer Basar:
Adversarial Linear-Quadratic Mean-Field Games over Multigraphs. - Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, Oguz Ziya Koseomur:
preCICE v2: A Sustainable and User-Friendly Coupling Library. - Hedongliang Liu, Lukas Holzbaur, Nikita Polyanskii, Sven Puchinger, Antonia Wachter-Zeh:
Quadratic-Curve-Lifted Reed-Solomon Codes. - Jakob Nylöf, Apostolos I. Rikos, Sebin Gracy, Karl Henrik Johansson:
Distributed Finite-Time Privacy-Preserving Optimal Allocation of Test Kits for Controlling Pandemic Spreading. - Ye Tian, Xiangxiang Chu, Hongpeng Wang:
CCTrans: Simplifying and Improving Crowd Counting with Transformer. - Bijeeta Pal, Mazharul Islam, Thomas Ristenpart, Rahul Chatterjee:
Might I Get Pwned: A Second Generation Password Breach Alerting Service. - Lukas Köhs, Bastian Alt, Heinz Koeppl:
Variational Inference for Continuous-Time Switching Dynamical Systems. - Julian Skirzynski, Yash Raj Jain, Falk Lieder:
Automatic discovery and description of human planning strategies. - Travis Gagie, Mozhgan Saeidi, Allan Sapucaia:
Ruler Wrapping. - Abdullah Khan, Alexei Vernitski, Alexei Lisitsa:
Untangling Braids with Multi-agent Q-Learning. - Donmoon Lee, Kyogu Lee:
Cross-domain Semi-Supervised Audio Event Classification Using Contrastive Regularization. - Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. - Charles Monnoyer de Galland, Renato Vizuete, Julien M. Hendrickx, Paolo Frasca, Elena Panteley:
Random coordinate descent algorithm for open multi-agent systems with complete topology and homogeneous agents. - Anthony Courchesne, Andrea Censi, Liam Paull:
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. - Chie Furusawa, Shinya Kitaoka, Michael Li, Yuri Odagiri:
Generative Probabilistic Image Colorization. - Jeremie S. Kim:
Improving DRAM Performance, Security, and Reliability by Understanding and Exploiting DRAM Timing Parameter Margins. - Carlos Parés-Pulido:
Finite volume methods for the computation of statistical solutions of the incompressible Euler equations. - Yue Wang, Shaofeng Zou:
Online Robust Reinforcement Learning with Model Uncertainty. - Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan:
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer. - Matteo Mordacchini, Marco Conti, Andrea Passarella, Raffaele Bruno:
Human-centric Data Dissemination in the IoP: Large-scale Modeling and Evaluation. - Sepehr Assadi, Chen Wang:
Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions. - Jiangyuan Li, Mohammadreza Armandpour:
Deep Spatio-Temporal Wind Power Forecasting. - Mark Ainsworth, Charles Parker:
A Mass Conserving Mixed hp-FEM Scheme for Stokes Flow. Part III: Implementation and Preconditioning. - Jeremy Avigad, Lior Goldberg, David Levit, Yoav Seginer, Alon Titelman:
A verified algebraic representation of Cairo program execution. - Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic:
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. - Xinquan Huang, Tariq Alkhalifah:
PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting. - Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri:
A Comprehensive Survey and Performance Analysis of Activation Functions in Deep Learning. - Chieko Sarah Imai, Minghao Zhang, Yuchen Zhang, Marcin Kierebinski, Ruihan Yang, Yuzhe Qin, Xiaolong Wang:
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization. - David Vielfaure, Samuel Arseneault, Pierre-Yves Lajoie, Giovanni Beltrame:
DORA: Distributed Online Risk-Aware Explorer. - Pradeep Sharma Oruganti, Parinaz Naghizadeh, Qadeer Ahmed:
The Impact of Network Design Interventions on CPS Security. - Abel Brown, Benedikt Schifferer, Robert DiPietro:
Robust Temporal Ensembling for Learning with Noisy Labels. - Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic:
Partitioning Cloud-based Microservices (via Deep Learning). - Adam Case, Jack H. Lutz:
Finite-State Mutual Dimension. - Arya Tanmay Gupta, Humani Gupta, Muskan Sharma, Priyanka Khanna:
A secure home automation prototype built on raspberry-pi. - Giuseppe Araniti, Antonio Iera, Sara Pizzi, Federica Rinaldi:
Towards 6G Non-Terrestrial Networks. - Angela Fontan, Claudio Altafini:
On the properties of Laplacian pseudoinverses. - Gavin Kerrigan, Padhraic Smyth, Mark Steyvers:
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration. - Oscar J. Ciceri, Carlos A. Astudillo, Zuqing Zhu, Nelson L. S. da Fonseca:
Federated Learning over Next-Generation Ethernet Passive Optical Networks. - Qi Chen, Changjian Shui, Mario Marchand:
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis. - Mohammad M. Jalalzai, Chen Feng, Victoria Lemieux:
Fast B4B: Fast BFT for Blockchains. - Eduard Eiben, Robert Ganian, Thekla Hamm, Lars Jaffke, O-joung Kwon:
A Unifying Framework for Characterizing and Computing Width Measures. - Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang:
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation. - Johanna Beyer, Yalong Yang, Hanspeter Pfister:
Visualization Design Sprints for Online and On-Campus Courses. - Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy:
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. - Swarup Pranjal:
Semi-automatic conversion from OSG to CityGML. - Kakani Katija, Eric C. Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Benjamin G. Woodward, Katy Croff Bell:
FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean. - Vaibhav Sinha, Siladitya Dash, Nazma Naskar, Sk Md Mosaddek Hossain:
A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction. - Charles J. Naudet, Johannes Töger, Matthew J. Zahr:
Accurate quantification of blood flow wall shear stress using simulation-based imaging: a synthetic, comparative study. - Deepti Hegde, Vishwanath Sindagi, Velat Kilic, A. Brinton Cooper, Mark A. Foster, Vishal M. Patel:
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection. - Scott Constable, Thomas Unterluggauer:
Seeds of SEED: A Side-Channel Resilient Cache Skewed by a Linear Function over a Galois Field. - Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant:
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness. - Yao Lu, Walterio W. Mayol-Cuevas:
Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation. - Jonas Bokstaller, Yihang She, Zhehan Fu, Tommaso Macrì:
Segmentation of Roads in Satellite Images using specially modified U-Net CNNs. - Nasimeh Heydaribeni, Achilleas Anastasopoulos:
Joint Information and Mechanism Design for Queues with Heterogeneous Users. - Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. - Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama:
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach. - Nancirose Piazza, Vahid Behzadan:
Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP). - Jialing Liao, Olav Tirkkonen:
Fundamental Rate-Memory Tradeoff for Coded Caching in Presence of User Inactivity. - Kerry A. Seitz Jr., Theresa Foley, Serban D. Porumbescu, John D. Owens:
Unified Shader Programming in C++. - Yu Tian, Chenwei Wang:
Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning. - Thomas Thuesen Enevoldsen, Roberto Galeazzi:
Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems. - Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy:
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. - Nitin Balachandran, Jun-Cheng Chen, Rama Chellappa:
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network. - Tommaso Macrì, Freya Murphy, Yunfan Zou, Yves Zumbach:
Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model. - Marzieh Alireza Mirhoseini, Matthew J. Zahr:
Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking. - Lakshay Virmani, Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding. - Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang:
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things. - Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan:
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. - Alireza Masoumian, Shayan Kiyani, Mohammad Hossein Yassaee:
Sequential Estimation under Multiple Resources: a Bandit Point of View. - Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. - Soufiyan Bahadi, Jean Rouat, Eric Plourde:
Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio. - Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh:
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. - Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia:
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. - Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. - George Eskandar, Mohamed Abdelsamad, Karim Armanious, Bin Yang:
USIS: Unsupervised Semantic Image Synthesis. - Sabah Al-Fedaghi:
Conceptual Data Modeling: Entity-Relationship Models as Thinging Machines. - Toki Migimatsu, Jeannette Bohg:
Grounding Predicates through Actions. - Peyman Hosseinzadeh Kassani, Fred Lu, Yann Le Guen, Zihuai He:
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants. - Faraz Faruqi, Kenneth Friedman, Leon Cheng, Michael Wessely, Sriram Subramanian, Stefanie Müller:
SliceHub: Augmenting Shared 3D Model Repositories with Slicing Results for 3D Printing. - Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark:
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief. - Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla:
Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting. - Romain Laroche, Remi Tachet des Combes:
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. - Boyd Branch, Piotr Mirowski, Kory W. Mathewson:
Collaborative Storytelling with Human Actors and AI Narrators. - Junyu Chen, Evren Asma, Chung Chan:
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning. - Clara Andrade Pimentel, Philipe de Freitas Melo:
Como o Game Design Pode Incentivar o Comportamento Tóxico em Jogos Online. - Maximilian Heinrich:
The MatrixX Solver For Argumentation Frameworks. - Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin:
Batched Bandits with Crowd Externalities. - Yao Lu, Walterio W. Mayol-Cuevas:
Egocentric Hand-object Interaction Detection and Application. - Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen:
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. - Yuanhao Liu, Fen Zhou, Tao Shang:
A Novel Initialization Method for HybridUnderwater Optical Acoustic Networks. - Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang:
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. - Shimiao Li, Amritanshu Pandey, Larry T. Pileggi:
A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model. - Mahnoosh Sadeghi, Anthony D. McDonald, Farzan Sasangohar:
Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data. - Yao Lu, Walterio W. Mayol-Cuevas:
The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions. - Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Shilhora Akshay Patel:
Improvising the Learning of Neural Networks on Hyperspherical Manifold. - Fengjun Yang, Negar Mehr, Mac Schwager:
Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis. - Tim Scargill, Jiasi Chen, Maria Gorlatova:
Here To Stay: Measuring Hologram Stability in Markerless Smartphone Augmented Reality. - Lane A. Hemaspaandra, Mandar Juvekar, Arian Nadjimzadah, Patrick A. Phillips:
Gaps, Ambiguity, and Establishing Complexity-Class Containments via Iterative Constant-Setting. - Markus Bachmayr, Geneviève Dusson, Christoph Ortner:
Polynomial Approximation of Symmetric Functions. - Jiaxin Pei, David Jurgens:
Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. - Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook:
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning. - Hyungsoo Kang, Hyung-Jin Yoon, Venanzio Cichella, Naira Hovakimyan, Petros G. Voulgaris:
Time Coordination of Multiple UAVs over Switching Communication Networks with Digraph Topologies. - Kiera Kean, Michael Neilan, Michael Schneier:
The Scott-Vogelius Method for Stokes Problem on Anisotropic Meshes. - Miriam Stern:
Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire. - Fengrui Liu, Yang Li, Baitong Li, Jiaxin Li, Huiyang Xie:
Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning. - Kai Li, Yuzhe Tang, Jiaqi Chen, Yibo Wang, Xianghong Liu:
TopoShot: Uncovering Ethereum's Network Topology Leveraging Replacement Transactions. - Zichuan Chen, Peng Liu:
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder. - Rahul Sharma, Kunal Dhawan, Balakrishna Pailla:
Phonetic Word Embeddings. - Hongyi Sun, Xinyi Liu, Kecheng Xu, Jinghao Miao, Qi Luo:
Emergency Vehicles Audio Detection and Localization in AutonomousDriving. - Mohamed E. Hussein, Wael AbdAlmageed:
Introducing the DOME Activation Functions. - Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein, Supriyo Datta:
Benchmarking a Probabilistic Coprocessor. - Qiyao Luo, Yilei Wang, Zhenghang Ren, Ke Yi, Kai Chen, Xiao Wang:
Secure Machine Learning over Relational Data. - Hong Deng, Yang Liu, Beibei Wang, Jian Yang, Lei Ma, Nicolas Holzschuch, Ling-Qi Yan:
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition. - Dongping Qi, David Bindel, Alexander Vladimirsky:
Surveillance Evasion Through Bayesian Reinforcement Learning. - Sajad Meisami, Mohammad Beheshti-Atashgah, Mohammad Reza Aref:
Using Blockchain to Achieve Decentralized Privacy In IoT Healthcare. - Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang:
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation. - Yuxiang Wang, Yongheng Zhang, Xuebo Li, Xinyao Yu:
COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models. - Joshua Vendrow, Jamie Haddock, Deanna Needell:
A Generalized Hierarchical Nonnegative Tensor Decomposition. - Yingcai Wan, Yanyan Li, Yingxuan You, Cheng Guo, Lijin Fang, Federico Tombari:
Semantic Dense Reconstruction with Consistent Scene Segments. - Lina Zhao:
A Robin-type domain decomposition method for a novel mixed-type DG method for the coupled Stokes-Darcy problem. - Yonhon Ng, Hongdong Li, Jonghyuk Kim:
Uncertainty Estimation of Dense Optical-Flow for Robust Visual Navigation. - Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz:
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. - Guande Wu, Jianzhe Lin, Cláudio T. Silva:
IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Private sampling: a noiseless approach for generating differentially private synthetic data. - Shereen Afifi, Hamid Gholam Hosseini, Roopak Sinha:
A system on chip for melanoma detection using FPGA-based SVM classifier. - Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou:
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. - Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis:
AffectGAN: Affect-Based Generative Art Driven by Semantics. - Andrew Yang, Bruce Changlong Xu, Ivan Villa-Renteria:
Matching Markets. - Hyung Ju Hwang, Cheolhyeong Kim, Min Sue Park, Hwijae Son:
The Deep Minimizing Movement Scheme. - Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. - John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann:
Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation. - Masataka Tasumi, Kazuki Iwahana, Naoto Yanai, Katsunari Shishido, Toshiya Shimizu, Yuji Higuchi, Ikuya Morikawa, Jun Yajima:
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data. - Grant Gibson, Oluwami Dosunmu-Ogunbi, Yukai Gong, Jessy W. Grizzle:
Terrain-Aware Foot Placement for Bipedal Locomotion Combining Model Predictive Control, Virtual Constraints, and the ALIP. - Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin:
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning. - Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann:
From Zero-Shot Machine Learning to Zero-Day Attack Detection. - Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood:
Towards Understanding Trends Manipulation in Pakistan Twitter. - Turker Ince, Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Onur Avci, Levent Eren, Moncef Gabbouj:
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks. - Miroslaw Kowaluk, Andrzej Lingas:
Breaking the hegemony of the triangle method in clique detection. - Fei Dai, Yawen Chen, Haibo Zhang, Zhiyi Huang:
Accelerating Fully Connected Neural Network on Optical Network-on-Chip (ONoC). - Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine:
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow. - Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris:
Process discovery on deviant traces and other stranger things. - Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà:
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. - Sepehr Assadi, Andrew Chen, Glenn Sun:
Deterministic Graph Coloring in the Streaming Model. - Alan Arroyo, Stefan Felsner:
Approximating the Bundled Crossing Number. - Huidong Liang, Junbin Gao:
How Neural Processes Improve Graph Link Prediction. - Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantavy:
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems. - Rohit Arora, Aanchan Mohan, Saket Anand:
Impact of Channel Variation on One-Class Learning for Spoof Detection. - Weizhu Bao, Yongyong Cai, Yue Feng:
Improved uniform error bounds on time-splitting methods for long-time dynamics of the nonlinear Klein-Gordon equation with weak nonlinearity. - Giuseppe Araniti, Antonio Iera, Antonella Molinaro, Sara Pizzi, Federica Rinaldi:
Opportunistic Federation of CubeSat Constellations: a Game-Changing Paradigm Enabling Enhanced IoT Services in the Sky. - Wei Wei, Jianyu Hu, Jianyu Chen, Jinqiao Duan:
Most Probable Transitions from Metastable to Oscillatory Regimes in a Carbon Cycle System. - Lefteris Loukas, Konstantinos Bougiatiotis, Manos Fergadiotis, Dimitris Mavroeidis, Elias Zavitsanos:
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features. - Julien Lange, Anastasia Mavridou, Larisa Safina, Alceste Scalas:
Proceedings 14th Interaction and Concurrency Experience, ICE 2021, Online, 18th June 2021. EPTCS 347, 2021 [contents] - Yu Zhang, Ahmed Alkhateeb:
Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels. - Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox:
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. - Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain:
Forming a sparse representation for visual place recognition using a neurorobotic approach. - Carmen Sippel, Robert F. H. Fischer:
Stabilization Techniques for Iterative Algorithms in Compressed Sensing. - Frank Nielsen:
On the Kullback-Leibler divergence between discrete normal distributions. - Arthur Bureau, Jean-Maxime Le Carpentier, Eric Le Carpentier, Yannick Aoustin, Yann Péréon:
D{é}composition et analyse de trac{é}s EMG pour aider au diagnostic des maladies neuromusculaires. - Antoine Scardigli, Paul Fournier, Matteo Vilucchio, David Naccache:
Genealogical Population-Based Training for Hyperparameter Optimization. - Bin Zhu, Jiahao Liu:
A Fast Robust Numerical Continuation Solver to a Two-Dimensional Spectral Estimation Problem. - (Withdrawn) BERT got a Date: Introducing Transformers to Temporal Tagging.
- Yingshi Chen:
Learning the Markov Decision Process in the Sparse Gaussian Elimination. - Reza Khanmohammadi, Mitra Sadat Mirshafiee, Yazdan Rezaee Jouryabi, Seyed Abolghasem Mirroshandel:
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry. - Felicitas Hörmann, Hannes Bartz:
Efficient Decoding of Folded Linearized Reed-Solomon Codes in the Sum-Rank Metric. - Matteo Mordacchini, Andrea Passarella, Marco Conti, Stuart M. Allen, Martin James Chorley, Gualtiero B. Colombo, Vlad Tanasescu, Roger M. Whitaker:
Crowdsourcing through Cognitive Opportunistic Networks. - Huan Qing:
A useful criterion on studying consistent estimation in community detection. - Melani Sanchez-Garcia, Alejandro Pérez-Yus, Ruben Martinez-Cantin, José Jesús Guerrero:
Augmented reality navigation system for visual prosthesis. - Matteo Mordacchini, Andrea Passarella, Marco Conti:
A Social Cognitive Heuristic for Adaptive Data Dissemination in Mobile Opportunistic Networks. - Jinhyuk Park, Albert No:
Prune Your Model Before Distill It. - Ruochen Su, Linglong Dai, Jingbo Tan, Mo Hao, Richard MacKenzie:
Capacity Enhancement for Reconfigurable Intelligent Surface-Aided Wireless Network: from Regular Array to Irregular Array. - Anna Bleakley, Daniel Rough, Justin Edwards, Philip R. Doyle, Odile Dumbleton, Leigh Clark, Sean Rintel, Vincent Wade, Benjamin R. Cowan:
Bridging Social Distance During Social Distancing: Exploring Social Talk and Remote Collegiality in Video Conferencing. - Srikantaiah K. C, Salony Mewara, Sneha Goyal, Subhiksha S:
A Friend Recommendation System using Semantic Based KNN Algorithm. - Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart:
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning. - Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury:
Moving Object Detection for Event-based vision using Graph Spectral Clustering. - Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou:
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach. - Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon:
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition. - Sebastian Lotter, Maximilian Schäfer, Robert Schober:
A Chemical Master Equation Model for Synaptic Molecular Communication. - Arabella Sinclair, Jaap Jumelet, Willem H. Zuidema, Raquel Fernández:
Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations. - Victor Schetinger, Ignacio Pérez-Messina, Renan Guarese, Velitchko Andreev Filipov:
Xenakis: Experimenting with Data, Cities, and Sounds. - Yimin Shi:
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning. - Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián E. Blasi, Ryan Cotterell:
A surprisal-duration trade-off across and within the world's languages. - Yi Cai, Arthur Zimek, Eirini Ntoutsi:
XPROAX-Local explanations for text classification with progressive neighborhood approximation. - Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar:
SCIMAT: Science and Mathematics Dataset. - Bryan Gomez-Vargas, Kent-André Mardal, Ricardo Ruiz-Baier, Vegard Vinje:
Twofold saddle-point formulation of Biot poroelasticity with stress-dependent diffusion. - Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu:
Adversarial Semantic Contour for Object Detection. - Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen:
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. - James O'Neill, Sourav Dutta, Haytham Assem:
Deep Neural Compression Via Concurrent Pruning and Self-Distillation. - Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala:
Robust Allocations with Diversity Constraints. - Matteo Pagin, Tommaso Zugno, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin, Michele Zorzi:
Can 5G NR-Light Operate at Millimeter Waves? Design Guidelines for Mid-Market IoT Use Cases. - Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
3D Pose Transfer with Correspondence Learning and Mesh Refinement. - Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk:
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. - Andrea Berra, Lorenzo Fagiano:
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. - Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars, Olivier Masson:
Riedones3D: a celtic coin dataset for registration and fine-grained clustering. - Marte Pettersen Buvik, Anastasiia Tkalich:
Psychological Safety in Agile Software Development Teams: Work Design Antecedents and Performance Consequences. - Anna Arias-Duart, Ferran Parés, Dario Garcia-Gasulla:
Who Explains the Explanation? Quantitatively Assessing Feature Attribution Methods. - Srimantha E. Mudiyanselage, Phuong H. D. Nguyen, Mohammad Sadra Rajabi, Reza Akhavian:
Automated Workers Ergonomic Risk Assessment in Manual Material Handling using sEMG Wearable Sensors and Machine Learning. - Sueda Guzey, Gunes Karabulut-Kurt, Enver Ozdemir:
A Group Key Establishment Scheme. - Carlo Puliafito, Claudio Cicconetti, Marco Conti, Enzo Mingozzi, Andrea Passarella:
Stateful Function-as-a-Service at the Edge. - M. Ross Kunz, Adam Yonge, Rakesh Batchu, Zongtang Fang, Yixiao Wang, Gregory Yablonsky, Andrew J. Medford, Rebecca Fushimi:
A Priori Calibration of Transient Kinetics Data via Machine Learning. - Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill:
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. - Philipp Holl, Vladlen Koltun, Nils Thuerey:
Physical Gradients for Deep Learning. - Wenhua Gao, Li Yang, Daode Zhang, Xia Liu:
Quantum Identity-Based Encryption from the Learning with Errors Problem. - Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat:
An Offline Deep Reinforcement Learning for Maintenance Decision-Making. - Nik Vaessen, David A. van Leeuwen:
Fine-tuning wav2vec2 for speaker recognition. - Jean-Marie John-Mathews:
Critical Empirical Study on Black-box Explanations in AI. - Lei Yang, Yan Zi Wei, Yisheng He, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan:
iShape: A First Step Towards Irregular Shape Instance Segmentation. - Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. - Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, Henning Wachsmuth:
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization. - Pei-Hsuan Tsai, Junbin Zhang, Meng-Hsun Tsai:
An Efficient Probe-based Routing for Content-Centric Networking. - Mufeng Tang, Yibo Yang, Yali Amit:
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. - Maciej Pacut, Juan Vanerio, Vamsi Addanki, Arash Pourdamghani, Gábor Rétvári, Stefan Schmid:
Self-Adjusting Packet Classification. - Mohammadreza Hazhirpasand, Oscar Nierstrasz, Mohammad Ghafari:
Crypto Experts Advise What They Adopt. - Yuquan Chen, Fumian Wang, Bing Wang:
A novel class of fixed-time consensus protocols for multi-agent systems with simple dynamics. - Taha Albakour, Oliver Gasser, Robert Beverly, Georgios Smaragdakis:
Third Time's Not a Charm: Exploiting SNMPv3 for Router Fingerprinting. - Rachel A. StClair, William Edward Hahn, Elan Barenholtz:
The Role of Bio-Inspired Modularity in General Learning. - Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying Zhou, Xueying Lv, Qiwen Liu, Xiaoguang Hu, Dianhai Yu, Yanjun Ma:
PP-LCNet: A Lightweight CPU Convolutional Neural Network. - A. Emin Orhan:
Compositional generalization in semantic parsing with pretrained transformers. - Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton:
Fake It Till You Make It: Face analysis in the wild using synthetic data alone. - Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang:
Scalable Rule-Based Representation Learning for Interpretable Classification. - Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung:
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. - Pankaj Kumar:
Deep Hawkes Process for High-Frequency Market Making. - Muhammad Ahmad, Maham Anwar Beg, Imdadullah Khan, Arif Zaman, Muhammad Asad Khan:
SsAG: Summarization and sparsification of Attributed Graphs. - Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot:
Interpretability in Safety-Critical FinancialTrading Systems. - Suad Krilasevic, Sergio Grammatico:
Learning generalized Nash equilibria in monotone games: A hybrid adaptive extremum seeking control approach. - Pranay Mathur, Yash Jangir, Neena Goveas:
A Generalized Kalman Filter Augmented Deep-Learning based Approach for Autonomous Landing in MAVs. - Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken:
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment. - Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims. - Preslav Nakov:
Improved statistical machine translation using monolingual paraphrases. - Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering. - Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. - Tobias Kessler, Klemens Esterle, Alois C. Knoll:
Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming. - Kaushik Ghosh, Mayukh Mukhopadhyay:
Demystifying Algorithmic Complexities and Geometric Review of the 'h'-Index. - Di Zhao, Chao Chen, Sei Zhen Khong:
A Frequency-Domain Approach to Nonlinear Negative Imaginary Systems Analysis. - Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang:
Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging. - Matthias Chung, Justin Krueger, Honghu Liu:
Least-Squares Finite Element Method for Ordinary Differential Equations. - Vincent Corlay, Nicolas Gresset:
Low-Complexity Probabilistic Shaping for Coded Modulation. - Jungang Zou, Fan Lin, Beizhan Wang, Siyu Gao, Gaoshan Deng, Wenhua Zeng, Gil Alterovitz:
Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks. - Premathas Somasekaram, Radu Calinescu, Rajkumar Buyya:
High-Availability Clusters A Taxonomy, Review, and Future Directions. - Moataz Chouchen, Jefferson Olongo, Ali Ouni, Mohamed Wiem Mkaouer:
Predicting Code Review Completion Time in Modern Code Review. - Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty:
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems. - Andres Burbano-Abril, Brian McCarthy, Miguel López-Guerrero, Víctor Rangel, Aisling O'Driscoll:
MCS Adaptation within the Cellular V2X Sidelink. - Martina Toshevska, Sonja Gievska:
A Review of Text Style Transfer using Deep Learning. - Elliot Catt, Marcus Hutter, Joel Veness:
Reinforcement Learning with Information-Theoretic Actuation. - Wengang Guo, Kaiyan Lin, Wei Ye:
Deep Embedded K-Means Clustering. - Xiaoqiang Zhang, Ying Chen, Guangyuan Li:
Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism. - Jay Patrikar, Brady G. Moon, Jean Oh, Sebastian A. Scherer:
Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace. - Benjamin Roth, Erion Çano:
Focused Contrastive Training for Test-based Constituency Analysis. - Manjushree B. Aithal, Xiaohua Li:
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation. - Ra'Fat Al-Msie'deen:
Tag Clouds for Software Documents Visualization. - Shiming Chen, Guo-Sen Xie, Qinmu Peng, Yang Liu, Baigui Sun, Hao Li, Xinge You, Ling Shao:
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. - Cen Liu, Yunbo Peng, Yue Lin:
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge. - Xiao Wang, Jingen Liu, Tao Mei, Jiebo Luo:
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation. - Jérôme Leroux:
State Complexity of Counting Population Protocols With Leaders. - Melissa Greeff, Siqi Zhou, Angela P. Schoellig:
Fly Out The Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight. - Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson:
Coordinated Reinforcement Learning for Optimizing Mobile Networks. - Zijian Zhu, Hang Su, Chang Liu, Wenzhao Xiang, Shibao Zheng:
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors. - Ahmed Alharbi, Hai Dong, Xun Yi, Prabath Abeysekara:
NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data. - Shaojie Tang, Jing Yuan:
Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising. - Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez:
Assessing Algorithmic Biases for Musical Version Identification. - Asanga Udugama:
inbaverSim: An OMNeT++ Model Framework for Content Centric Networking. - Zhuoyue Lyu, Jiannan Li, Bryan Wang:
AIive: Interactive Visualization and Sonification of Neural Network in Virtual Reality. - Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. - Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu:
Semi-tensor Product-based TensorDecomposition for Neural Network Compression. - Georgios Pappas, Joshua E. Siegel, Jacob Rutkowski, Andrea Schaaf:
Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions. - Sonia Raychaudhuri, Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang:
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments. - Paolo Bottoni, Anna Labella, Remo Pareschi:
A formal model for ledger management systems based on contracts and temporal logic. - Jeeho Ahn, Chang-Hwan Kim, Changjoo Nam:
Coordination of two robotic manipulators for object retrieval in clutter. - Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz:
Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). - Hendrik Heuer:
The Explanatory Gap in Algorithmic News Curation. - Siddhartha Kumar, Reent Schlegel, Eirik Rosnes, Alexandre Graell i Amat:
Coding for Straggler Mitigation in Federated Learning. - Marco Gabrielli, Francesco Trovò, Manuela Antonelli:
Adapting Bandit Algorithms for Settings with Sequentially Available Arms. - (Withdrawn) Real-Time Tactile Grasp Force Sensing Using Fingernail Imaging via Deep Neural Networks.
- Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond:
Real Robot Challenge using Deep Reinforcement Learning. - Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting. - Yang Tan, Yang Li, Shao-Lun Huang:
Transferability Estimation for Semantic Segmentation Task. - Matús Pikuliak, Stefan Grivalsky, Martin Konopka, Miroslav Blsták, Martin Tamajka, Viktor Bachratý, Marián Simko, Pavol Balázik, Michal Trnka, Filip Uhlárik:
SlovakBERT: Slovak Masked Language Model. - Yichen Jiang, Mohit Bansal:
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks. - Minglong Lei, Yong Shi, Lingfeng Niu:
Latent Network Embedding via Adversarial Auto-encoders. - Dingzhu Wen, Ki Jun Jeon, Kaibin Huang:
Federated Dropout - A Simple Approach for Enabling Federated Learning on Resource Constrained Devices. - Raphael Trumpp, Harald Bayerlein, David Gesbert:
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. - Yung-Chung Chiu, Hsueh-I Lu:
Blazing a Trail via Matrix Multiplications: A Faster Algorithm for Non-shortest Induced Paths. - Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O'Toole:
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis. - Jesse David Dinneen, Ilja Frissen:
Mac Users Do It Differently: the Role of Operating System and Individual Differences in File Management. - Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang:
DAAS: Differentiable Architecture and Augmentation Policy Search. - Charles-Antoine Julien, Banafsheh Asadi, Jesse David Dinneen, Fei Shu:
Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching. - Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar:
Coverage Control in Multi-Robot Systems via Graph Neural Networks. - Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch:
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI? - Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. - Borna Besic, Nikhil Gosala, Daniele Cattaneo, Abhinav Valada:
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. - Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction. - Ho-Chun Herbert Chang, Matt Bui, Charlton McIlwain:
Targeted Ads and/as Racial Discrimination: Exploring Trends in New York City Ads for College Scholarships. - Benjamin Bisping, Uwe Nestmann:
Deciding All Behavioral Equivalences at Once: A Game for Linear-time-Branching-time Spectroscopy. - Daniel Massatt, Stephen Carr, Mitchell Luskin:
Electronic Observables for Relaxed Bilayer 2D Heterostructures in Momentum Space. - Christos Papaloukas, Ilias Chalkidis, Konstantinos Athinaios, Despina-Athanasia Pantazi, Manolis Koubarakis:
Multi-granular Legal Topic Classification on Greek Legislation. - Binbin Xu, Lingni Ma, Yuting Ye, Tanner Schmidt, Christopher D. Twigg, Steven Lovegrove:
Identity-Disentangled Neural Deformation Model for Dynamic Meshes. - Payam Karisani, Negin Karisani:
Semi-Supervised Text Classification via Self-Pretraining. - Benjamin J. Ayton, Masataro Asai:
Width-Based Planning and Active Learning for Atari. - Azita Pourkabirian, Melika Habibian, Azadeh Pourkabirian:
Brand Attitude in Social Networks: The Role of eWoM. - Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown:
Scalable Online Planning via Reinforcement Learning Fine-Tuning. - Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen:
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. - Matteo Poggi, Filippo Aleotti, Stefano Mattoccia:
Sensor-Guided Optical Flow. - Valentin Schröter, Arne Boockmeyer, Lukas Pirl:
NetSD: Remote Access to Integrated SD Cards of Embedded Devices. - Sophie Leuchtner, Andrew Suk:
Point sets with no four collinear and no large visible island. - Raphael Keusch, Hans-Andrea Loeliger:
Half-Space and Box Constraints as NUV Priors: First Results. - Mengying Lei, Aurélie Labbe, Lijun Sun:
Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. - Susama Agarwala, Franklin Kenter:
A Geometric Chung Lu model and the Drosophila Medulla connectome. - James Trimble:
Induced universal graphs for families of small graphs. - Zhen Zhang, Yeonjong Shin, George Em Karniadakis:
GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems. - Sambuddha Ghosal, Audrey Xie, Pratik Shah:
Uncertainty Quantified Deep Learning for Predicting Dice Coefficient of Digital Histopathology Image Segmentation. - Daniele Notarmuzi, Claudio Castellano, Alessandro Flammini, Dario Mazzilli, Filippo Radicchi:
Universality, criticality and complexity of information propagation in social media. - Donggun Lee, Claire J. Tomlin:
Lax Formulae for Efficiently Solving Two Classes of State-Constrained Optimal Control Problems. - Jiawei Shao, Yuyi Mao, Jun Zhang:
Task-Oriented Communication for Multi-Device Cooperative Edge Inference. - Alan Mishler, Edward H. Kennedy:
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. - Stefan Rhys Jeske, Marek Simon, Oleksii Semenov, Jan Kruska, Oleg Mokrov, Rahul Sharma, Uwe Reisgen, Jan Bender:
Quantitative Evaluation of SPH in TIG Spot Welding. - Stefan Rhys Jeske, Jan Bender, Kirsten Bobzin, Hendrik Heinemann, Kevin Jasutyn, Marek Simon, Oleg Mokrov, Rahul Sharma, Uwe Reisgen:
Application and Benchmark of SPH for Modeling the Impact in Thermal Spraying. - Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
Flag codes of maximum distance and constructions using Singer groups. - Lanjiang Wang:
A survey on IQA. - Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato:
Can Decentralized Control Outperform Centralized? The Role of Communication Latency. - Zeyang Yao, Jiawei Zhang, Hailong Qiu, Tianchen Wang, Yiyu Shi, Jian Zhuang, Yuhao Dong, Meiping Huang, Xiaowei Xu:
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection. - Menghui Jiang, Huanfeng Shen, Jie Li, Liangpei Zhang:
An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images. - Zhao Yuan:
On the Tightness of Convex Optimal Power Flow Model Based on Power Loss Relaxation. - Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz:
Looking at the whole picture: constrained unsupervised anomaly segmentation. - Xiaotian Jiang, Danshi Wang, Qirui Fan, Min Zhang, Chao Lu, Alan Pak Tao Lau:
Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics. - Hanyuan Hang, Yuchao Cai, Hanfang Yang, Zhouchen Lin:
Under-bagging Nearest Neighbors for Imbalanced Classification. - Blake E. Woodworth:
The Minimax Complexity of Distributed Optimization. - Héctor Delgado, Nicholas W. D. Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Jose Patino, Md. Sahidullah, Massimiliano Todisco, Xin Wang, Junichi Yamagishi:
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan. - Junichi Yamagishi, Xin Wang, Massimiliano Todisco, Md. Sahidullah, Jose Patino, Andreas Nautsch, Xuechen Liu, Kong Aik Lee, Tomi Kinnunen, Nicholas W. D. Evans, Héctor Delgado:
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection. - Shailesh Garg, Souvik Chakraborty, Budhaditya Hazra:
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. - Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao:
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. - Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao:
Variational Quantum Reinforcement Learning via Evolutionary Optimization. - Thijs van de Laar, Magnus T. Koudahl, Bart van Erp, Bert de Vries:
Active Inference and Epistemic Value in Graphical Models. - Chihao Zhang, Yiling Elaine Chen, Shihua Zhang, Jingyi Jessica Li:
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. - Daniele Bartoli, Martino Borello:
Small Strong Blocking Sets by Concatenation. - Shadi Haddad, Abhishek Halder:
The Boundary and Taxonomy of Integrator Reach Sets. - Rollen S. D'Souza, Christopher Nielsen:
An Algorithm for Local Transverse Feedback Linearization. - Weisong Wen, Guohao Zhang, Li-Ta Hsu:
GNSS Outlier Mitigation Via Graduated Non-Convexity Factor Graph Optimization. - Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu:
Variable Augmented Network for Invertible Modality Synthesis-Fusion. - Xiwei Bai, Weisong Wen, Li-Ta Hsu:
Time-correlated Window Carrier-phase Aided GNSS Positioning Using Factor Graph Optimization for Urban Positioning. - Hao Deng, Yang Zheng, Jin Chen, Shuyan Yu, Keyan Xiao, Xiancheng Mao:
Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit. - Fumio Hashimoto, Kibo Ote:
Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model. - Xiang Liu, Tianyao Huang, Yimin Liu:
Transmit Design for Joint MIMO Radar and Multiuser Communications with Transmit Covariance Constraint. - Yuya Onishi, Fumio Hashimoto, Kibo Ote, Hiroyuki Ohba, Ryosuke Ota, Etsuji Yoshikawa, Yasuomi Ouchi:
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance. - Pawel Dlotko, Davide Gurnari, Radmila Sazdanovic:
Knot invariants and their relations: a topological perspective. - Adrian Wheeldon, Alex Yakovlev, Rishad A. Shafik:
Self-timed Reinforcement Learning using Tsetlin Machine. - Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar:
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. - Lars Nieradzik, Gerik Scheuermann, Dorothee Saur, Christina Gillmann:
Effect of the output activation function on the probabilities and errors in medical image segmentation. - Junxiao Xue, Hao Zhou, Yabo Wang:
Physiological-Physical Feature Fusion for Automatic Voice Spoofing Detection. - Zhen Huang, Xiaodan Zhuang, Daben Liu, Xiaoqiang Xiao, Yuchen Zhang, Sabato Marco Siniscalchi:
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching. - Siddarth Srinivasan, Jamie Morgenstern:
Auctions and Prediction Markets for Scientific Peer Review. - Enrique Canessa, Livio Tenze:
Ideals and Virtual Realities. - Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. - Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang:
Sk-Unet Model with Fourier Domain for Mitosis Detection. - Yongsong Huang, Zetao Jiang, Qingzhong Wang, Qi Jiang, Guoming Pang:
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN. - Satvik Venkatesh, David Moffat, Eduardo Reck Miranda:
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. - Xi Long, Ying Cheng, Xiao Mu, Lian Liu, Jingxin Liu:
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge. - Diego Baptista, Caterina De Bacco:
Convergence properties of optimal transport-based temporal networks. - Tim Mitchell, Paul Van Dooren:
Root-max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems. - Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Bilinear Input Normalization for Neural Networks in Financial Forecasting. - Liming Zhao, Siyi Yang, Patrick Rebentrost:
Quantum algorithm for structure learning of Markov Random Fields. - Diego O. Ferraro, Daniela Blanco, Sebastián Pessah, Rodrigo D. Castro:
Land use change in agricultural systems: an integrated ecological-social simulation model of farmer decisions and cropping system performance based on a cellular automata approach. - Han Zhang, Axel Ringh:
Inverse Linear-Quadratic Discrete-Time Finite-Horizon Optimal Control for Indistinguishable Agents: A Convex Optimization Approach. - Lucien Boulet:
Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs. - Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? - Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian:
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. - Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes, Hacer Yalim Keles:
Towards disease-aware image editing of chest X-rays. - Henry W. J. Reeve, Timothy I. Cannings, Richard J. Samworth:
Optimal subgroup selection. - Jianping Ye, Caleb Wan, Samy Wu Fung:
Adaptive Uncertainty-Weighted ADMM for Distributed Optimization. - Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. - Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar:
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. - Maxime Burchi, Valentin Vielzeuf:
Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition. - Mingkuan Liu, Chi Zhang, Hua Xing, Chao Feng, Monchu Chen, Judith Bishop, Grace Ngapo:
Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development. - Pooria Taghizadeh Naderi, Ali Asgary, Jude Dzevela Kong, Jianhong Wu, Fattaneh Taghiyareh:
COVID-19 Vaccine Hesitancy and Information Diffusion: An Agent-based Modeling Approach. - Rabayet Sadnan, Tom Asaki, Anamika Dubey:
Online Distributed Optimization in Radial Power Distribution Systems: Closed-Form Expressions. - Xinxin Zhou, Jingru Feng, Yang Li:
Non-intrusive load decomposition based on CNN-LSTM hybrid deep learning model. - Dan M. Kluger, Sherrie Wang, David B. Lobell:
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. - Guan-Jie Fan-Yuan, Feng-Yu Lu, Shuang Wang, Zhen-Qiang Yin, De-Yong He, Zheng Zhou, Jun Teng, Wei Chen, Guang-Can Guo, Zheng-Fu Han:
Measurement-device-independent quantum key distribution for nonstandalone networks. - Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. - Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews:
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging. - Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Inference via Local SGD in Federated Learning. - Nasrin Razmi, Bho Matthiesen, Armin Dekorsy, Petar Popovski:
Ground-Assisted Federated Learning in LEO Satellite Constellations. - Dag Normann, Sam Sanders:
Betwixt Turing and Kleene. - (Withdrawn) The full Low-carbon Expansion Generation Optimization (LEGO) model.
- Alexandre Abraham, Léo Dreyfus-Schmidt:
Sample Noise Impact on Active Learning. - Peichao Li, Michael Ebner, Philip J. Noonan, Conor C. Horgan, Anisha Bahl, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction. - Amirreza Mahbod, Rupert Ecker, Isabella Ellinger:
Automatic Foot Ulcer segmentation Using an Ensemble of Convolutional Neural Networks. - Robert Matthijs Verschuren:
Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles. - Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl:
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. - Rudolf Hanel, Bernat Corominas-Murtra:
The typical set and entropy in stochastic systems with arbitrary phase space growth. - Jakob Dexl, Michaela Benz, Volker Bruns, Petr Kuritcyn, Thomas Wittenberg:
MitoDet: Simple and robust mitosis detection. - Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami:
Studying the Effects of Self-Attention for Medical Image Analysis. - Eric Finster, Alex Rice, Jamie Vicary:
A Type Theory for Strictly Associative Infinity Categories. - Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa:
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. - Prashanth Gurunath Shivakumar, Somer Bishop, Catherine Lord, Shrikanth Narayanan:
Phone Duration Modeling for Speaker Age Estimation in Children. - Xiaoheng Sun, Qiqi He, Yongwei Gao, Wei Li:
Musical Tempo Estimation Using a Multi-scale Network. - Jianfeng Lu, Felix Otto, Lihan Wang:
Optimal artificial boundary conditions based on second-order correctors for three dimensional random elliptic media. - Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning for Pancreas Segmentation. - Antoine Sanner, Camila González, Anirban Mukhopadhyay:
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? - Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin:
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware. - Christine L. Borgman, Morgan F. Wofford:
From Data Processes to Data Products: Knowledge Infrastructures in Astronomy. - Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari:
Model retraining and information sharing in a supply chain with long-term fluctuating demands. - Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen:
On Faster Convergence of Scaled Sign Gradient Descent. - Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-Wei H. Lehman:
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. - Gavrielle R. Untracht, Rolando Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K. Durrani, Teemapron Butsabong, Paola Campagnolo, David D. Sampson, Christian Heiss, Danuta M. Sampson:
OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images. - Kenta Iida, Hitoshi Kiya:
A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset. - Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. - Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang, Jan Klohs, Xosé-Luís Dean-Ben, Ruiqing Ni, Daniel Razansky, Wuwei Ren:
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging. - Anna Dobshik, Andrey Tulupov, Vladimir B. Berikov:
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke. - Siu A. Chin, Durward Cator:
The anatomy of Boris type solvers and large time-step plasma simulations. - Barbara Kaltenbacher:
On the inverse problem of vibro-acoustography. - Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi:
A Fully-Integrated 5mW, 0.8Gbps Energy-Efficient Chip-to-Chip Data Link for Ultra-Low-Power IoT End-Nodes in 65-nm CMOS. - Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian:
Scalable Feature Selection for (Multitask) Gradient Boosted Trees. - Eric Dunipace:
Optimal transport weights for causal inference. - Xinghua Long, Rodrigo A. Velez:
Balanced House Allocation. - Khawar Islam, L. Minh Dang, Sujin Lee, Hyeonjoon Moon:
Image Compression with Recurrent Neural Network and Generalized Divisive Normalization. - Weiqing Wang, Danwei Cai, Qingjian Lin, Lin Yang, Junjie Wang, Jin Wang, Ming Li:
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge. - Alexandr Kazda, Michael Kompatscher:
The local-global property for G-invariant terms. - Shreshth Saini, Geetika Agrawal:
(M)SLAe-Net: Multi-Scale Multi-Level Attention embedded Network for Retinal Vessel Segmentation. - Md Gulzar Hussain, Shiren Ye:
Recognition of COVID-19 Disease Utilizing X-Ray Imaging of the Chest Using CNN. - Pablo Krupa:
Implementation of MPC in embedded systems using first order methods. - Vikash Tripathi, Arti Pandey, Anil Maheshwari:
A linear-time algorithm for semitotal domination in strongly chordal graphs. - Edson Porto da Silva, Metodi Plamenov Yankov:
Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems. - Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. - Pedro R. A. S. Bassi, Romis Attux:
FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces. - Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang:
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Felix Tena, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo:
A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes. - Li-Wei Chen, Nils Thuerey:
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils. - Zhiyuan Liu, Jörn Schulz, Mohsen Taheri, Martin Styner, James N. Damon, Stephen M. Pizer, J. S. Marron:
Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes. - Xiao-Yu Cao, Jie Gu, Yu-Shuo Lu, Hua-Lei Yin, Zeng-Bing Chen:
Coherent one-way quantum conference key agreement based on twin field. - Vishal Vinod, Rahul Raj, Rohit Pingale, Jagarlapudi Adinarayana:
Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data. - Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee:
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. - Sheng Cheng, Yang Jiao, Max Yi Ren:
Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations. - Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar:
Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method. - Gerardo Barrera, Paulo Manrique-Mirón:
The asymptotic joint distribution of the largest and the smallest singular values for random circulant matrices. - Raphael Steiner:
Asymptotic Equivalence of Hadwiger's Conjecture and its Odd Minor-Variant. - Rita Marques, Danilo Andrade De Jesus, João Barbosa Breda, Jan Van Eijgen, Ingeborg Stalmans, Theo van Walsum, Stefan Klein, Pedro G. Vaz, Luisa Sánchez Brea:
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review. - Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt, Christoph Forman, Teodora Chitiboi, Puneet Sharma, Juliano Lara Fernandes, Christoph Tillmanns, Jens Wetzl, Andreas Maier:
Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery. - Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk:
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning. - Neil K. Chada, Ajay Jasra, Fangyuan Yu:
Unbiased Estimation of the Hessian for Partially Observed Diffusions. - Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems. - Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton:
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation. - Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi:
Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays. - Hamid Nasiri, Sharif Hasani:
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost. - Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke:
Learning Neural Causal Models with Active Interventions. - Evan Wen, Max Ehrlich:
Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis. - Philipp Grohs, Lukas Liehr:
Stable Gabor phase retrieval in Gaussian shift-invariant spaces via biorthogonality. - Gopal K. Basak, Chandramauli Chakraborty, Pranab Kumar Das:
Optimal Lockdown Strategy in a Pandemic: An Exploratory Analysis for Covid-19. - Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang:
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. - Jyot R. Buch, Shih-Chi Liao, Peter Seiler:
Robust Control Barrier Functions with Sector-Bounded Uncertainties. - Eric Bax, Frédéric Ouimet:
Bounding Means of Discrete Distributions. - Jie Wang, Fuchuan Tong, Zhicong Chen, Lin Li, Qingyang Hong, Haodong Zhou:
XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021. - Zhenning Tan, Yuguang Yang, Eunjung Han, Andreas Stolcke:
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets. - Hui Xie, Zhuang Zhao, Jing Han, Yi Zhang, Lianfa Bai, Jun Lu:
End to end hyperspectral imaging system with coded compression imaging process. - Han Wang, James Anderson:
Large-Scale System Identification Using a Randomized SVD. - Yu Li, Muhammad Monjurul Karim, Ruwen Qin:
Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks. - Leonardo van der Laat, Ronald J. L. Baldares, Esteban J. Chaves, Esteban Meneses:
OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica. - Vitor Tocci F. de Luca, Fabiano de S. Oliveira, Jayme Luiz Szwarcfiter:
Minimum Number of Bends of Paths of Trees in a Grid Embedding. - Greg Abram, Andrew J. Solis, Yong Liang, Krishna Kumar:
In-situ visualization of natural hazards with Galaxy and Material Point Method. - Runyu Mao, Mackenzie J. Tweardy, Stephan W. Wegerich, Craig J. Goergen, George R. Wodicka, Fengqing Zhu:
Motion Artifact Reduction In Photoplethysmography For Reliable Signal Selection. - Yue Yu, Ufuk Topcu:
Proportional-Integral Projected Gradient Method for Infeasibility Detection in Conic Optimization. - Daniel Sanz-Alonso, Ruiyi Yang:
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. - Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall:
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. - Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. - Danwei Cai, Ming Li:
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge. - Vo Anh Khoa:
Convergence of a spectral regularization of a time-reversed reaction-diffusion problem with high-order Sobolev-Gevrey smoothness. - Ruhul Amin Khalil, Nasir Saeed, Mohammad Inayatullah Babar, Tariqullah Jan, Sadia Din:
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things. - Nathan Ratledge, Gabe Cadamuro, Brandon de la Cuesta, Matthieu Stigler, Marshall Burke:
Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access. - Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. - Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu:
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. - Yao Ma, Elham Kashefi, Myrto Arapinis, Kaushik Chakraborty, Marc Kaplan:
QEnclave - A practical solution for secure quantum cloud computing. - Sribalaji Coimbatore Anand, André M. H. Teixeira:
Stealthy Cyber-Attack Design Using Dynamic Programming. - Guillaume Deffuant, Thibaut Roubin:
Do interactions among unequal agents undermine those of low status? - Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang:
Instance-dependent Label-noise Learning under a Structural Causal Model. - Bernhard Eidel:
Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization. - Mohsen Taheri, Jörn Schulz:
Statistical analysis of locally parameterized shapes. - Maria Letizia Bertotti, Giovanni Modanese:
Diagonal degree correlations vs. epidemic threshold in scale-free networks. - Célestin Coquidé, Julie Queiros, François Queyroi:
PageRank computation for Higher-Order Networks. - Ren Yang, Luc Van Gool, Radu Timofte:
Perceptual Learned Video Compression with Recurrent Conditional GAN. - Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson:
Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity. - Mahmoud Aly Zaher, Özlem Tugfe Demir, Emil Björnson, Marina Petrova:
Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems. - Martin Nägele, Richard Santiago, Rico Zenklusen:
Congruency-Constrained TU Problems Beyond the Bimodular Case. - Sergei Petrov, Chao Zhang, Jaswanth K. Yella, Yu Huang, Xiaoye Qian, Sthitie Bom:
IEEE BigData 2021 Cup: Soft Sensing at Scale. - Subash Humagain, Roopak Sinha:
Routing Emergency Vehicles in Arterial Road Networks using Real-time Mixed Criticality Systems. - Janne Koivumäki, Jukka-Pekka Humaloja, Lassi Paunonen, Wen-Hong Zhu, Jouni Mattila:
Subsystem-Based Control with Modularity for Strict-Feedback Form Nonlinear Systems. - Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang:
MRI Reconstruction Using Deep Energy-Based Model. - MinKeun Chung, Liang Liu, Andreas Johansson, Sara Gunnarsson, Martin Nilsson, Zhinong Ying, Olof Zander, Kamal Samanta, Chris Clifton, Toshiyuki Koimori, Shinya Morita, Satoshi Taniguchi, Fredrik Tufvesson, Ove Edfors:
LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection. - Ethan Grooby, Jinyuan He, Davood Fattahi, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad:
A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation. - Mohammadreza F. Imani, Sergi Abadal, Philipp del Hougne:
Smart On-Chip Electromagnetic Environment. - Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou:
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology. - Yaqin Li, Yongjin Xu, Yi Yu:
CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling. - Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia:
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. - Xiaoyun Li, Ping Li:
C-MinHash: Rigorously Reducing K Permutations to Two. - Kai Pfeiffer, Ludovic Righetti:
NIPM-MPC: An Efficient Null-Space Method Based Interior-Point Method for Model Predictive Control. - Benjamin Peters, Nikolaus Kriegeskorte:
Capturing the objects of vision with neural networks. - Mengyu Dai, Haibin Hang, Anuj Srivastava:
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. - Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, Marco Cerezo:
Entangled Datasets for Quantum Machine Learning. - Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. - Yue Chen, Wei Wei, Mingxuan Li, Laijun Chen, João P. S. Catalão:
Flexibility Requirement when Tracking Renewable Power Fluctuation with Peer-to-Peer Energy Sharing. - Ammu R, Neelam Sinha:
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation. - Songxiang Liu, Shan Yang, Dan Su, Dong Yu:
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis. - Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, Kyoung Mu Lee:
Toward Real-World Super-Resolution via Adaptive Downsampling Models. - Rajeeva Laxman Karandikar, M. Vidyasagar:
Convergence of Batch Asynchronous Stochastic Approximation With Applications to Reinforcement Learning. - Cédric Travelletti, David Ginsbourger, Niklas Linde:
Uncertainty Quantification and Experimental Design for large-scale linear Inverse Problems under Gaussian Process Priors. - Athanasios Kirmizis, Konstantinos Kyritsis, Anastasios Delopoulos:
A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors. - Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen:
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. - Elisa Iacomini, Pierluigi Vellucci:
Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon. - Wout Merbis, Ivano Lodato:
Logistic growth on networks: exact solutions for the SI model. - Muhammad Ahsan:
Quantum Circuit Engineering for Correcting Coherent Noise. - Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons:
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. - Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka:
Deep Learning for Multi-View Ultrasonic Image Fusion. - François Ollivier:
Jacobi's Bound. Jacobi's results translated in K{Ö}nig's, Egerv{á}ry's and Ritt's mathematical languages. - Hélène Lajous, Christopher W. Roy, Tom Hilbert, Priscille de Dumast, Sébastien Tourbier, Yasser Alemán-Gómez, Jérôme Yerly, Thomas Yu, Hamza Kebiri, Kelly Payette, Jean-Baptiste Ledoux, Reto Meuli, Patric Hagmann, András Jakab, Vincent Dunet, Mériam Koob, Tobias Kober, Matthias Stuber, Meritxell Bach Cuadra:
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. - Juliana Costa-Silva, Douglas S. Domingues, David Menotti, Mariangela Hungria, Fabricio M. Lopes:
Computational methods for differentially expressed gene analysis from RNA-Seq: an overview. - Georgios Pilikos, Chris L. de Korte, Tristan van Leeuwen, Felix Lucka:
Single Plane-Wave Imaging using Physics-Based Deep Learning. - Simon Weber, Bernd Gärtner:
A Characterization of the Realizable Matoušek Unique Sink Orientations. - Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson:
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. - Yunqi Shao, Florian M. Dietrich, Carl Nettelblad, Chao Zhang:
Training Algorithm Matters for the Performance of Neural Network Potential. - Marius Schmidt-Mengin, Vito A. G. Ricigliano, Benedetta Bodini, Emanuele Morena, Annalisa Colombi, Mariem Hamzaoui, Arya Yazdan Panah, Bruno Stankoff, Olivier Colliot:
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis. - Yulin Shao, Deniz Gündüz, Soung Chang Liew:
Bayesian Over-The-Air Computation. - Michael Karnes, Shehan Perera, Srikar Adhikari, Alper Yilmaz:
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System. - Yixin Wang, Michael I. Jordan:
Desiderata for Representation Learning: A Causal Perspective. - Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. - Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren:
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. - Diego Marcondes, Adilson Simonis, Junior Barrera:
Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection. - Sajad Fathi Hafshejani, Zahra Moaberfard:
Initialization for Nonnegative Matrix Factorization: a Comprehensive Review. - Sanjay Dominik Jena, Andrea Lodi, Claudio Sole:
On the estimation of discrete choice models to capture irrational customer behaviors. - Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley:
Machine learning modeling of family wide enzyme-substrate specificity screens. - Leila Taghavi:
Simplified Quantum Algorithm for the Oracle Identification Problem. - Giorgio Gnecco, Federico Nutarelli, Massimo Riccaboni:
Matrix Completion of World Trade. - Yury Polyanskiy, Yihong Wu:
Sharp regret bounds for empirical Bayes and compound decision problems. - James Melbourne, Cyril Roberto:
Quantitative form of Ball's Cube slicing in Rn and equality cases in the min-entropy power inequality. - Zachary Charles, Keith Rush:
Iterated Vector Fields and Conservatism, with Applications to Federated Learning. - Georgios Piliouras, Xiao Wang:
Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics. - Saeed Marzban, Erick Delage, Jonathan Yu-Meng Li:
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures. - Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao:
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. - John Koo, Minh Tang, Michael W. Trosset:
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs. - Karl Michael Schmidt, Tomio Umeda:
Continuum limits for discrete Dirac operators on 2D square lattices. - Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck:
The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description. - Felisia Angela Chiarello, Harold Deivi Contreras, Luis Miguel Villada:
Nonlocal reaction traffic flow model with on-off ramps. - Sebastian Brandhofer, Hans Peter Büchler, Ilia Polian:
Optimal Mapping for Near-Term Quantum Architectures based on Rydberg Atoms. - Daniel Fernandez-Llaneza, Andrea Gondova, Harris Vince, Arijit Patra, Magdalena Zurek, Peter Konings, Patrik Kagelid, Leif Hultin:
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks. - Runnan Liu, Liang Liu, Dazhi He, Wenjun Zhang, Erik G. Larsson:
Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication. - Daniel Campos, Heng Ji:
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System. - Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy, Varun Ramamohan:
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. - Ganzhao Yuan:
Coordinate Descent Methods for DC Minimization. - Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Xiaorong Pu, Yazhou Ren:
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer. - Henning F. Schepker, Florian Denk, Birger Kollmeier, Simon Doclo:
Robust single- and multi-loudspeaker least-squares-based equalization for hearing devices. - Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair:
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons. - Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan:
Memory semantization through perturbed and adversarial dreaming. - Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky:
Quantum Machine Learning for Finance. - Clement Gauchy, Cyril Feau, Josselin Garnier:
Adaptive importance sampling for seismic fragility curve estimation. - Julien Chhor, Alexandra Carpentier:
Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates. - Yasmin Salehi, Dennis Giannacopoulos:
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery. - Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney:
Multi-sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking. - Haining Zheng, Antonio R. Paiva:
Assessing Machine Learning Approaches to Address IoT Sensor Drift. - Ruifu Li, Han Yan, Danijela Cabric:
Rainbow-link: Beam-Alignment-Free and Grant-Free mmW Multiple Access using True-Time-Delay Array. - Ran Guan, Andi Zhang, Mengchao Li, Yongliang Wang:
Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep. - Yan Li, Ning Zhong, David Taniar, Haolan Zhang:
MutualGraphNet: A novel model for motor imagery classification. - Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. - Charles Lu, Andréanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer:
Fair Conformal Predictors for Applications in Medical Imaging. - Jia Wang, Ying Yang:
An Accelerated Proximal Gradient-based Robust Model Predictive Control Algorithm. - Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring. - Sujay Bhatt, Ping Li, Gennady Samorodnitsky:
Extreme Bandits using Robust Statistics. - Götz E. Pfander, Shauna Revay, David Francis Walnut:
Exponential bases for partitions of intervals. - Sudipto Banerjee:
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework. - Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha:
Protein Folding Neural Networks Are Not Robust. - Hamid Reza Feyzmahdavian, Mikael Johansson:
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees. - Christy Lin, Daniel L. Sussman, Prakash Ishwar:
Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings. - Srikanth Raj Chetupalli, Thippur V. Sreenivas:
Directional MCLP Analysis and Reconstruction for Spatial Speech Communication. - Liyun Tu, Austin Talbot, Neil Gallagher, David E. Carlson:
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility. - Xi Chen, Sentao Miao, Yining Wang:
Differential Privacy in Personalized Pricing with Nonparametric Demand Models. - Kun Cao, Muqing Cao, Shenghai Yuan, Lihua Xie:
DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation. - Connor Duffin, Edward Cripps, Thomas Stemler, Mark Girolami:
Low-rank statistical finite elements for scalable model-data synthesis. - Zehong Chang, Fumin Wang, Xiaoli Wang, Xiaofei Liu, Rongqian Wu, Yi Lv, Pei Zhang:
Security analysis method for practical quantum key distribution with arbitrary encoding schemes. - Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu:
ReconfigISP: Reconfigurable Camera Image Processing Pipeline. - John R. Scott, Krishna C. Balram:
Timing constraints imposed by classical digital control systems on photonic implementations of measurement-based quantum computing. - Mathieu Molitor:
Kahler toric manifolds from dually flat spaces. - Huaning Liu, Zhixiong Chen, Chenhuang Wu:
Correlation measures of binary sequences derived from Euler quotients. - Ahmed AbdulMajuid, Osama Mohamady, Mohannad Draz, Gamal El-bayoumi:
GPS-Denied Navigation Using Low-Cost Inertial Sensors and Recurrent Neural Networks. - Zhenwei Yang, Ayoub Bagheri, Peter G. M. van der Heijden:
Neural Networks for Latent Budget Analysis of Compositional Data. - Mihails Birjukovs, Pavel Trtik, Anders Kaestner, Jan Hovind, Martins Klevs, Dariusz Jakub Gawryluk, Knud Thomsen, Andris Jakovics:
Resolving gas bubbles ascending in liquid metal from low-SNR neutron radiography images. - Chris Heunen, Miriam Backens:
Proceedings 18th International Conference on Quantum Physics and Logic, QPL 2021, Gdansk, Poland, and online, 7-11 June 2021. EPTCS 343, 2021 [contents] - Wentao Yu, Steffen Zeiler, Dorothea Kolossa:
Large-vocabulary Audio-visual Speech Recognition in Noisy Environments. - Andrei Goloubentsev, Dmitri Goloubentsev, Evgeny Lakshtanov:
Adjoint Differentiation for generic matrix functions. - Maria Elena Innocenti, Jorge Amaya, Joachim Raeder, Romain Dupuis, Banafsheh Ferdousi, Giovanni Lapenta:
Unsupervised classification of simulated magnetospheric regions. - Richard Weinhold:
Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe. - Samarth Gupta, Gauri Joshi, Osman Yagan:
Best-Arm Identification in Correlated Multi-Armed Bandits. - Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen, Alper Yilmaz:
Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method. - Yuhongze Zhou, Liguang Zhou, Tin Lun Lam, Yangsheng Xu:
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution. - Mateusz Skomra:
Optimal bounds for bit-sizes of stationary distributions in finite Markov chains. - Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub:
Consensus dynamics on temporal hypergraphs. - Sarwan Ali, Murray Patterson:
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. - Norah M. Asiri, Muhammad Hussain, Fadwa Al Adel, Hatim Aboalsamh:
A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images. - Zachary M. C. Baum, Yipeng Hu, Dean C. Barratt:
Real-time multimodal image registration with partial intraoperative point-set data. - Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets. - Dhanush Bekal, Ashish Shenoy, Monica Sunkara, Sravan Bodapati, Katrin Kirchhoff:
Remember the context! ASR slot error correction through memorization. - Aroutin Khachaturian, Reza Fatemi, Artsroun Darbinian, Ali Hajimiri:
Discretization of Annular-Ring Diffraction Pattern for Large-Scale Photonics Beamforming. - Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak:
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. - Ali Shaib, Mohamad H. Naim, Mohammed E. Fouda, Rouwaida Kanj, Fadi J. Kurdahi:
Efficient Noise Mitigation Technique for Quantum Computing. - Jiarun Liu, Ruirui Li, Chuan Sun:
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction. - Yangyang Xia, Buye Xu, Anurag Kumar:
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems. - Kazuhiko Shinoda, Takahiro Hoshino:
Estimation of Local Average Treatment Effect by Data Combination. - Maria Victorova, Michael Ka-Shing Lee, David Navarro-Alarcon, Yongping Zheng:
Follow the Curve: Robotic-Ultrasound Navigation with Learning Based Localization of Spinous Processes for Scoliosis Assessment. - Grant Stevens, Sotiria Fotopoulou, Malcolm N. Bremer, Oliver Ray:
AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning. - Ruiying Lu, Bo Chen, Guanliang Liu, Ziheng Cheng, Mu Qiao, Xin Yuan:
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. - Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko:
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning. - Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen:
Bayesian Topic Regression for Causal Inference. - Hsing-Yin Chang, Elliott Slaughter, Seema Mirchandaney, Jeffrey Donatelli, Chun Hong Yoon:
Scaling and Acceleration of Three-dimensional Structure Determination for Single-Particle Imaging Experiments with SpiniFEL. - Ryan Hamerly, Saumil Bandyopadhyay, Dirk R. Englund:
Infinitely Scalable Multiport Interferometers. - Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. - Günther Koliander, Georg Pichler:
Modelling the Utility of Group Testing for Public Health Surveillance. - Johannes O. Royset, Ji-Eun Byun:
Gradients and Subgradients of Buffered Failure Probability. - Mehrdad Pournaderi, Yu Xiang:
Differentially Private Variable Selection via the Knockoff Filter. - Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge. - Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig B. Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra:
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation. - Ata Atay, Eric Bahel, Tamás Solymosi:
Matching markets with middlemen under transferable utility. - Kürsat Tekbiyik, Okan Yurduseven, Günes Karabulut-Kurt:
Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation. - Tian Ye, ErKang Chen, Xinrui Huang, Peng Chen:
Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing. - Yunhui Gao, Liangcai Cao:
A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval. - Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Link Scheduling using Graph Neural Networks. - Junyu Liu, Jinzhao Sun, Xiao Yuan:
Towards a variational Jordan-Lee-Preskill quantum algorithm. - Fredrik Hallgren:
Kernel PCA with the Nyström method. - Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh:
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. - Stefan Coors, Daniel Schalk, Bernd Bischl, David Rügamer:
Automatic Componentwise Boosting: An Interpretable AutoML System. - Junqi Yin, Zongrui Pei, Michael C. Gao:
Neural network based order parameter for phase transitions and its applications in high-entropy alloys. - Da Ma, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg:
Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network. - Rain Jiang, Kai Jiang, Minghui Jiang:
Caterpillars and alternating paths. - Yao Chen, Qingyi Gao, Xiao Wang:
Inferential Wasserstein Generative Adversarial Networks. - Will Simmons:
Relating Measurement Patterns to Circuits via Pauli Flow. 50-101 - Justin Makary, Neil J. Ross, Peter Selinger:
Generators and Relations for Real Stabilizer Operators. 14-36 - Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani:
Real-Time EMG Signal Classification via Recurrent Neural Networks. - Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia:
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation. - Seyedeh Maryam Hosseini, Shahram Shahsavari, Catherine Rosenberg:
Multi-User Scheduling in Hybrid Millimeter Wave Massive MIMO Systems. - Sajad Fathi Hafshejani, Daya Ram Gaur, Shahadat Hossain, Robert Benkoczi:
Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization. - Nazlahshaniza Shafina, Che Aishah Nazariah Ismaila, Mohd Zulkifli Mustafa, Nurhafizah Ghani, Asma Hayati Ahmad, Zahiruddin Othman, Adi Wijaya, Rahimah Zakaria:
Thematic analysis of multiple sclerosis research by enhanced strategic diagram. - Willem Esterhuizen, Jean Lévine, Stefan Streif:
Epidemic Management with Admissible and Robust Invariant Sets. - Rosa D. Hernansaiz-Ballesteros, Christian H. Holland, Aurélien Dugourd, Julio Saez-Rodriguez:
FUNKI: Interactive functional footprint-based analysis of omics data. - Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou:
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers. - Keunsoo Ko, Chang-Su Kim:
IceNet for Interactive Contrast Enhancement. - Michele Monti, Jonathan Fiorentino, Edoardo Milanetti, Giorgio Gosti, Gian Gaetano Tartaglia:
Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks. - Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen:
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. - Jasper Verbree, Ashish Cherukuri:
Inferring the prior in routing games using public signalling. - Cesar Borisovich Pronin, Andrey Vladimirovich Ostroukh:
Developing Mathematical Oracle Functions for Grover Quantum Search Algorithm. - Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot:
Low-Light Image Enhancement with Normalizing Flow. - Long Ma, Maksim Kitsak, Piet Van Mieghem:
Two-population SIR model and strategies to reduce mortality in pandemics. - Mickael Rouvier, Pierre-Michel Bousquet:
Studying squeeze-and-excitation used in CNN for speaker verification. - Alexandre Bristiel, Pietro Caputo:
Entropy inequalities for random walks and permutations. - Jan Sosulski, David Hübner, Aaron Klein, Michael Tangermann:
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints. - Jeffrey Galkowski, Pierre Marchand, Euan A. Spence:
High-frequency estimates on boundary integral operators for the Helmholtz exterior Neumann problem. - Gianluca Bianchin, Emiliano Dall'Anese, Jorge I. Poveda, David Jacobson, Elizabeth J. Carlton, Andrea G. Buchwald:
Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization. - Tejas Fanse:
A Numerical Analysis of a Micro-scale Piezoelectric Cantilever Beam: the Effect of Dimension Parameters on the Eigen Frequency. - Benjamin Gess, Rishabh S. Gvalani, Florian Kunick, Felix Otto:
Thermodynamically consistent and positivity-preserving discretization of the thin-film equation with thermal noise. - Florentin Goyens, Coralia Cartis, Armin Eftekhari:
Nonlinear matrix recovery using optimization on the Grassmann manifold. - Anna Breger, Felix Goldbach, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler:
Blood vessel segmentation in en-face OCTA images: a frequency based method. - Aditya Potukuchi, Liana Yepremyan:
Enumerating independent sets in Abelian Cayley graphs. - Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur:
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers. - Runze Yan, Afsaneh Doryab:
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams. - Sina Ameli, Olugbenga Moses Anubi:
Hierarchical Robust Adaptive Control for Wind Turbines with Actuator Fault. - Narayanan Rengaswamy, Ankur Raina, Nithin Raveendran, Bane Vasic:
Distilling GHZ States using Stabilizer Codes. - Han Liu, Yubo Fan, Can Cui, Dingjie Su, Andrew McNeil, Benoit M. Dawant:
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. - Camilo Garcia Trillos, Nicolás García Trillos:
On the regularized risk of distributionally robust learning over deep neural networks. - Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese:
Data-based Online Optimization of Networked Systems with Infrequent Feedback. - Andrés Altieri:
On the Correlation between the Noise and a Priori Error Vectors in Affine Projection Algorithms. - Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C:
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging. - Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong:
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. - Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation. - Federico Cornalba, Julian Fischer:
The Dean-Kawasaki equation and the structure of density fluctuations in systems of diffusing particles. - Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. - Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer:
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. - Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. - Zhuoyuan Wu, Jian Zhang, Chong Mou:
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging. - Chanho Park, Seunghoon Lee, Namyoon Lee:
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning. - Lei Hou, Xue Pan, Kecheng Liu, Zimo Yang, Jianguo Liu, Tao Zhou:
Information Cocoons in Online Navigation. - Alexandros Eskenazis:
ε-isometric dimension reduction for incompressible subsets of 𝓁p. - Akshansh Mishra, Tarushi Pathak:
Deep Convolutional Generative Modeling for Artificial Microstructure Development of Aluminum-Silicon Alloy. - J. Daniel Christensen:
Non-accessible localizations. - Alan F. Karr, Jason Hauzel, Prahlad Menon, Adam A. Porter, Marcel Schaefer:
Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly. - Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data. - Vy Duong, Elizabeth Diessner, Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts:
Neural Upscaling from Residue-level Protein Structure Networks to Atomistic Structure. - Dimiter Ostrev:
QKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate. - José Guadalupe Romero, Bowen Yi:
Orbital stabilization of underactuated mechanical systems without Euler-Lagrange structure after of a collocated pre-feedback. - Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O'Neill, Alberto Torres-Barrán, David Gordo, Victor Gallego-Alcalá, David Gómez-Ullate:
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data. - Anna Lindeberg, Marc Hellmuth:
Construction of k-matchings and k-regular subgraphs in graph products. - Stenzel Cackowski, Emmanuel Luc Barbier, Michel Dojat, Thomas Christen:
ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization. - Alexandru Baltag, Sonja Smets:
The Logic of Quantum Programs. - Prachi Singh, Sriram Ganapathy:
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization. - Giulio Caldarelli:
Wrapping trust for interoperability. A study of wrapped tokens. - Moritz Herrmann, Fabian Scheipl:
A geometric perspective on functional outlier detection. - Mathieu Laurière, Gilles Pagès, Olivier Pironneau:
Performance of a Markovian neural network versus dynamic programming on a fishing control problem. - Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography. - M. Amine Bennouna, Bart P. G. Van Parys:
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. - Changhan Wang, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Ann Lee, Peng-Jen Chen, Jiatao Gu, Juan Miguel Pino:
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit. - Frederic Koehler, Elchanan Mossel:
Reconstruction on Trees and Low-Degree Polynomials. - Scott Aaronson:
Open Problems Related to Quantum Query Complexity. - Jiawei Zhang, Jie Ding, Yuhong Yang:
Targeted Cross-Validation. - Stefania Di Tommaso, Sherrie Wang, David B. Lobell:
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. - Mohammad Taha Toghani, César A. Uribe:
Scalable Average Consensus with Compressed Communications. - Saeed Marzban, Erick Delage, Jonathan Yu-Meng Li, Jeremie Desgagne-Bouchard, Carl Dussault:
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management. - Adina D. Feinstein, Darryl Z. Seligman, Maximilian N. Günther, Fred C. Adams:
Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS. - James Duvall, Karthik Duraisamy, Shaowu Pan:
Non-linear Independent Dual System (NIDS) for Discretization-independent Surrogate Modeling over Complex Geometries. - Joseph Breeden, Dimitra Panagou:
Guaranteed Safe Spacecraft Docking with Control Barrier Functions. - Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. - Yanwu Yang, Xutao Guo, Yiwei Pan, Pengcheng Shi, Haiyan Lv, Ting Ma:
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net. - Yoonjae Lee, Efstathios Bakolas:
Guarding a Target Set from a Single Attacker in the Euclidean Space. - Yi Zhu, Vidur Raj, Ziyuan Li, Hark Hoe Tan, Chennupati Jagadish, Lan Fu:
Self-powered InP Nanowire Photodetector for Single Photon Level Detection at Room Temperature. - Kirill Polovnikov, Nikita Pospelov, Dmitriy Skougarevskiy:
α-Indirect Control in Onion-like Networks. - Ahmed M. Badi, Taissir Y. Elganimi, Osama A. S. Alkishriwo, Nadia Adem:
Channel Estimation Based on Machine Learning Paradigm for Spatial Modulation OFDM. - Jiamin Yu:
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling. - Wolfram Barfuss, Richard P. Mann:
Evolutionary Reinforcement Learning Dynamics with Irreducible Environmental Uncertainty. - Naoto Iijima, Shoichi Koyama, Hiroshi Saruwatari:
Binaural rendering from microphone array signals of arbitrary geometry. - Wei Mu, Alexander I. Himmel, Bryan Ramson:
Photon detection probability prediction using one-dimensional generative neural network. - Carlos Efrain Quintero Narvaez:
Universality for Sets of Three-Valued Qubit Gates. - Jing Rao, Fangshu Yang, Huadong Mo, Stefan Kollmannsberger, Ernst Rank:
Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion. - Camilo Javier Pineda Sopo, Farshid Hajati, Soheila Gheisari:
DeFungi: Direct Mycological Examination of Microscopic Fungi Images. - Songjun Cao, Yueteng Kang, Yanzhe Fu, Xiaoshuo Xu, Sining Sun, Yike Zhang, Long Ma:
Improving Streaming Transformer Based ASR Under a Framework of Self-supervised Learning. - Yiyun Luo, Will Wei Sun, Yufeng Liu:
Distribution-free Contextual Dynamic Pricing. - Claire Birnie, Matteo Ravasi, Tariq Alkhalifah, Sixiu Liu:
The potential of self-supervised networks for random noise suppression in seismic data. - Keqi Deng, Songjun Cao, Long Ma:
Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-supervised Learning. - Haoran Sun, Jie Zou, Xiaopeng Li:
Fermion Sampling Made More Efficient. - Qi Hong, Qi Wang:
A hybrid phase field method for fluid-structure interactions in viscous fluids. - Niko Brümmer:
How to use KL-divergence to construct conjugate priors, with well-defined non-informative limits, for the multivariate Gaussian. - Muhammad Farae, Cameron Woo, Anka Hu:
An Improved Approach to Orbital Determination and Prediction of Near-Earth Asteroids: Computer Simulation, Modeling and Test Measurements. - Christian Jacobsen, Karthik Duraisamy:
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders. - Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang:
Neural network optimal feedback control with enhanced closed loop stability. - Ben Hudson, Frederik Nijweide, Isaac Sebenius:
Computationally-Efficient Climate Predictions using Multi-Fidelity Surrogate Modelling. - Fabio Sanches, Sean J. Weinberg, Takanori Ide, Kazumitsu Kamiya:
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem. - Jiahui Liu, Qipeng Liu, Luowen Qian:
Beating Classical Impossibility of Position Verification. - Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni:
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth. - Anahita Iravanizad, Edgar Ivan Sanchez Medina, Martin Stoll:
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs. - Kevin D. Smith, Francesco Bullo:
Convex Optimization of the Basic Reproduction Number. - Toshinari Itoko, Rudy Raymond:
Sampling Strategy Optimization for Randomized Benchmarking. - S. M. Kamrul Hasan, Cristian A. Linte:
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation. - Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim:
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. - Kaito Ito, Takuya Ikeda, Kenji Kashima:
Sparse optimal stochastic control. - Kanguk Lee, Jinseok Choi, Dong Ku Kim, Jeonghun Park:
Secure Transmission for Hierarchical Information Accessibility in Downlink MU-MIMO. - Jiguang He, Fan Jiang, Kamran Keykhosravi, Joonas Kokkoniemi, Henk Wymeersch, Markku J. Juntti:
Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet. - Wei Liu, Tan Lee:
Utterance-level neural confidence measure for end-to-end children speech recognition. - Georgios C. Trichopoulos, Panagiotis Theofanopoulos, Bharath Kashyap, Aditya Shekhawat, Anuj Modi, Tawfik Osman, Sanjay Kumar, Anand Sengar, Arkajyoti Chang, Ahmed Alkhateeb:
Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment. - (Withdrawn) Towards Non-Line-of-Sight Photography.
- Huan Qing:
Directed degree corrected mixed membership model and estimating community memberships in directed networks. - Sheir Yarkoni, Alex Alekseyenko, Michael Streif, David Von Dollen, Florian Neukart, Thomas Bäck:
Multi-car paint shop optimization with quantum annealing. - John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi:
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. - Bonaventure F. P. Dossou, Yeno K. S. Gbenou:
FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition. - Leonardo V. Castorina, Rokas Petrenas, Kartic Subr, Christopher W. Wood:
PDBench: Evaluating Computational Methods for Protein Sequence Design. - Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, Oliver Bringmann:
Behavior of Keyword Spotting Networks Under Noisy Conditions. - Haoyu Li, Junichi Yamagishi:
DDS: A new device-degraded speech dataset for speech enhancement. - Christoph Adami, Nitash C. G:
Emergence of functional information from multivariate correlations. - Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang:
PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. - Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King:
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. - Shi Jin, Xiantao Li:
A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations. - Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon:
Super-resolution data assimilation. - Achleshwar Luthra, Harsh Sulakhe, Tanish Mittal, Abhishek Iyer, Santosh Yadav:
Eformer: Edge Enhancement based Transformer for Medical Image Denoising. - Pablo Arrighi, Christopher Cedzich, Marin Costes, Ulysse Rémond, Benoît Valiron:
Addressable quantum gates. - Gustavo Pompeu da Silva, Rafael de Andrade Moral:
Frame by frame completion probability of an NFL pass. - Caroline L. Wormell:
Non-hyperbolicity in large-scale dynamics of a chaotic system. - Aditya Nandy, Gianmarco Terrones, Naveen Arunachalam, Chenru Duan, David W. Kastner, Heather J. Kulik:
MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks. - Laurent Hébert-Dufresne, Timothy M. Waring, Guillaume St-Onge, Meredith T. Niles, Laura Kati Corlew, Matthew P. Dube, Stephanie J. Miller, Nicholas Gotelli, Brian J. McGill:
Source-sink cooperation dynamics constrain institutional evolution in a group-structured society. - Seung-Hwan Baek, Ethan Tseng, Andrew Maimone, Nathan Matsuda, Grace Kuo, Qiang Fu, Wolfgang Heidrich, Douglas Lanman, Felix Heide:
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display. - Pranay Manocha, Buye Xu, Anurag Kumar:
NORESQA - A Framework for Speech Quality Assessment using Non-Matching References. - Brian Kim, Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus:
Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. - Aishik Ghosh, Benjamin Nachman:
A Cautionary Tale of Decorrelating Theory Uncertainties. - Christophe Piveteau, Joseph M. Renes:
Quantum message-passing algorithm for optimal and efficient decoding. - Puyuan Peng, David Harwath:
Fast-Slow Transformer for Visually Grounding Speech. - Eran Nevo:
Embedding Divisor and Semi-Prime Testability in f-vectors of polytopes. - Annika Brundyn, Jesse Swanson, Kyunghyun Cho, Doug Kondziolka, Eric K. Oermann:
Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery. - Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn:
Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice". - Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata:
Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. - Vincent Pacelli, Anirudha Majumdar:
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. - Simon Chamorro, Jack Collier, François Grondin:
Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation. - Xiaoxia Wu, Yuege Xie, Simon S. Du, Rachel A. Ward:
AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. - Jun Chen, Heye Zhang, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan, Guang Yang:
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data. - Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net. - Changqing Wang, William R. Sweeney, A. Douglas Stone, Lan Yang:
Observation of coherent perfect absorption at an exceptional point. - Cheng Cheng, Andrew Blakers, Matthew Stocks, Bin Lu:
100% renewable electricity in Japan. - Alberto Rech, Federico Moretto, Stefano Tomasin:
Maximum-Rate Optimization of Hybrid Intelligent Reflective Surface and Relay Systems. - Youyang Sha, Yonghong Zhang, Xuquan Ji, Lei Hu:
Transformer-Unet: Raw Image Processing with Unet. - Ruth P. Lim, Stefan Kachel, Adriana D. M. Villa, Leighton Kearney, Nuno Bettencourt, Alistair A. Young, Amedeo Chiribiri, Cian M. Scannell:
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images. - Luca Ambrogioni:
Knowledge is reward: Learning optimal exploration by predictive reward cashing. - Ralf Hiptmair, Andrea Moiola, Euan A. Spence:
Spurious Quasi-Resonances in Boundary Integral Equations for the Helmholtz Transmission Problem. - Desh Raj, Liang Lu, Zhuo Chen, Yashesh Gaur, Jinyu Li:
Continuous Streaming Multi-Talker ASR with Dual-path Transducers. - Arghya Pal, Yogesh Rathi:
A review of deep learning methods for MRI reconstruction. - Agnieszka Truszkowska, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
Predicting the effects of waning vaccine immunity against COVID-19 through high-resolution agent-based modeling. - Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega:
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. - Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. - Saeed Shurrab, Rehab Duwairi:
Self-supervised learning methods and applications in medical imaging analysis: A survey. - Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar:
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm. - Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Traffic Routing: Deterministic Limits and Data-driven Enhancements. - Sivanand Achanta, Albert Antony, Ladan Golipour, Jiangchuan Li, Tuomo Raitio, Ramya Rasipuram, Francesco Rossi, Jennifer Shi, Jaimin Upadhyay, David Winarsky, Hepeng Zhang:
On-device neural speech synthesis. - Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications. - Kaifu Gao, Dong Chen, Alfred J. Robison, Guo-Wei Wei:
Proteome-informed machine learning studies of cocaine addiction. - Yann Beilliard, Fabien Alibart:
Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review. - Joshua Peter Ebenezer, Zaixi Shang, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik:
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips. - T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra:
Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes. - Zhihui Kong, Jonathan H. Jiang, Remo Burn, Kristen A. Fahy, Zong-Hong Zhu:
Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning. - Svetlana Boyarchenko, Sergei Levendorskii, Justin Lars Kirkby, Zhenyu Cui:
SINH-acceleration for B-spline projection with Option Pricing Applications. - Felix Weninger, Marco Gaudesi, Ralf Leibold, Roberto Gemello, Puming Zhan:
Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition. - Minh Quang Le, Dane Taylor:
Persistent homology of convection cycles in network flows. - Inaam Ul Hassan, Abdul Haseeb, Sarwan Ali:
Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3). - Alex Wong, Allison Chen, Yangchao Wu, Safa Cicek, Alexandre Tiard, Byung-Woo Hong, Stefano Soatto:
Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. - Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun:
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. - Yanwei Fu, Feng Li, Paula boned Fustel, Lei Zhao, Lijie Jia, Haojie Zheng, Qiang Sun, Shisong Rong, Haicheng Tang, Xiangyang Xue, Li Yang, Hong Li, Jiao Xie, Wenxuan Wang, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian, Mengwei Gu:
The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations. - Weitao Sun:
Data-driven rational function neural networks: a new method for generating analytical models of rock physics. - Rahul Parhi, Robert D. Nowak:
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks. - Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu:
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly. - Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. - Timothy Kwong, Samaneh Mazaheri:
A survey on deep learning approaches for breast cancer diagnosis. - Yuguang Yang, Yu Pan, Xin Dong, Minqiang Xu:
Fast query-by-example speech search using separable model. - Lina Zhuang, Michael K. Ng:
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal. - Anushka Yadav, Mayank Upadhyay, Ghanapriya Singh:
Underwater Image Enhancement Using Convolutional Neural Network. - Tim Sziburis, Markus Nowak, Davide Brunelli:
KNN Learning Techniques for Proportional Myocontrol in Prosthetics. - Lucy Huo, Ariah Klages-Mundt, Andreea Minca, Frederik Christian Münter, Mads Rude Wind:
Decentralized Governance of Stablecoins with Option Pricing. - Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong:
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform. - Christodoulos Kechris, Alexandros Delitzas, Vasileios Matsoukas, Panagiotis C. Petrantonakis:
Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders. - Jinxiang Zhu, Cristina Rea, Robert S. Granetz, Earl S. Marmar, Kevin J. Montes, Ryan Sweeney, Roy A. Tinguely, Dalong Chen, Biao Shen, Bingjia Xiao, David Humphreys, Jayson Barr, Orso-Maria Meneghini:
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks. - Haoyang Zheng, Ziyang Huang, Guang Lin:
PCNN: A physics-constrained neural network for multiphase flows. - Amin Dehghani:
Human Recognition based on Retinal Bifurcations and Modified Correlation Function. - Mohit Sharma, Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Ingrid Hotz, Vijay Natarajan:
Segmentation Driven Peeling for Visual Analysis of Electronic Transitions. - Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. - Alankrita Bhatt, Ankit Pensia:
Sharp Concentration Inequalities for the Centered Relative Entropy. - Zhe Liu, Irina-Elena Veliche, Fuchun Peng:
Model-Based Approach for Measuring the Fairness in ASR. - R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri:
Channel Estimation in MIMO Systems with One-bit Spatial Sigma-delta ADCs. - Kwangjin Yoon:
Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics. - Samira Rezaei, John P. McKean, Michael Biehl, Amir Javadpour:
DECORAS: detection and characterization of radio-astronomical sources using deep learning. - Jiating Yu, Jiacheng Leng, Ling-Yun Wu:
Network Refinement: A unified framework for enhancing signal or removing noise of networks. - Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan:
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning. - Janis Bajars:
Locally-symplectic neural networks for learning volume-preserving dynamics. - Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, Giovanni Parmigiani:
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation. - Adir Hazan, Barak Ratzker, Danzhen Zhang, Aviad Katiyi, Nachum Frage, Maxim Sokol, Yury Gogotsi, Alina Karabchevsky:
Ti3C2Tx MXene Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks. - Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu:
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar. - Samuel P. Loomis, James P. Crutchfield:
Topology, Convergence, and Reconstruction of Predictive States. - Megan Johnson, Jae-Hun Jung:
Instability of the Betti Sequence for Persistent Homology and a Stabilized Version of the Betti Sequence. - Ehsan Samani, Mahdi Kohansal, Hamed Mohsenian Rad:
A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants' Performance: A Case of California ISO. - Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis, Arash Mohammadi:
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. - Hendra I. Nurdin, John Edward Gough:
From the Heisenberg to the Schrödinger Picture: Quantum Stochastic Processes and Process Tensors. - Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang:
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization. - Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. - Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li:
Interpolation variable rate image compression. - Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle, Emma Harris:
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning. - Aldar C.-F. Chan:
UTXO in Digital Currencies: Account-based or Token-based? Or Both? - Zhichao Wang, Yizhe Zhu:
Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks. - Robin Mieling, Johanna Sprenger, Sarah Latus, Lennart Bargsten, Alexander Schlaefer:
A novel optical needle probe for deep learning-based tissue elasticity characterization. - Ekhi Ajuria Illarramendi, Michael Bauerheim, Bénédicte Cuenot:
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network. - Houchen Zuo, Yongquan Jiang, Yan Yang, Jie Hu:
Prediction of properties of metal alloy materials based on machine learning. - David R. Burt, Artem Artemev, Mark van der Wilk:
Barely Biased Learning for Gaussian Process Regression. - Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-based segmentation of apical and basal slices from clinical cine CMR. - M. Godbout, A. Lachance, F. Antaki, A. Dirani, A. Durand:
Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data. - Alessandro Sebastianelli, Daniela Alessandra Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo:
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification. - Christopher J. Urban, Daniel J. Bauer:
Machine Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis. - Hugues Moreau, Andréa Vassilev, Liming Chen:
The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection. - Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger:
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. - Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni:
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. - Ioanna Siaminou, Ioannis Marios Papagiannakos, Christos Kolomvakis, Athanasios P. Liavas:
Accelerated Stochastic Gradient for Nonnegative Tensor Completion and Parallel Implementation. - Vincent Verbavatz, Marc Barthelemy:
Betweenness centrality in dense spatial networks. - Anselmo Ramalho Pitombeira-Neto, Arthur H. Fonseca Murta:
A Reinforcement Learning Approach to the Stochastic Cutting Stock Problem. - P. Monalisha, P. S. Anil Kumar, X. Renshaw Wang, S. N. Piramanayagam:
Emulation of Synaptic Plasticity on Cobalt based Synaptic Transistor for Neuromorphic Computing. - Iasson Karafyllis, Dionysis Theodosios, Markos Papageorgiou:
Stability Analysis of Nonlinear Inviscid Microscopic and Macroscopic Traffic Flow Models of Bidirectional Cruise-Controlled Vehicles. - Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard:
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics. - Seunghyun Moon, Ruimin Ma, Ross Attardo, Charles Tomonto, Mark Nordin, Paul Wheelock, Michael Glavicic, Maxwell Layman, Richard Billo, Tengfei Luo:
Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models. - Filipe F. C. Silva, Pedro M. S. Carvalho, Luis A. F. M. Ferreira, Yasser Omar:
A QUBO Formulation for Minimum Loss Spanning Tree Reconfiguration Problems in Electric Power Networks. - Bekir Z. Demiray, Muhammed Ali Sit, Ibrahim Demir:
DEM Super-Resolution with EfficientNetV2. - Andrey A. Popov, Amit N. Subrahmanya, Adrian Sandu:
A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. - Jingyu Li, Si Ioi Ng, Tan Lee:
Improving Text-Independent Speaker Verification with Auxiliary Speakers Using Graph. - Mohammad Younus Bhat, Aamir Hamid Dar:
Convolution and Correlation Theorems for Wigner-Ville Distribution Associated with the Quaternion Offset Linear Canonical Transform. - Son Thai Le, Vahid Aref, Junho Cho:
Single-ended Coherent Receiver. - Aleksandr N. Grekov, Nikolay A. Grekov, Evgeniy Sychov, K. A. Kuzmin:
Development of In Situ Acoustic Instruments for The Aquatic Environment Study. - Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero:
Acoustic Echo Cancellation using Residual U-Nets. - Pawan Negi, Prabhu Ramachandran:
How to train your solver: A method of manufactured solutions for weakly-compressible SPH. - Lukas Uzolas, Javier Rico, Pierrick Coupé, Juan C. SanMiguel, György Cserey:
Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images. - Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel A. Ward:
Learning to Forecast Dynamical Systems from Streaming Data. - Aram Ebtekar:
Information Dynamics and The Arrow of Time. - Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna:
Understanding neural networks with reproducing kernel Banach spaces. - Eric Guzman, Joel Meyers:
Reconstructing Cosmic Polarization Rotation with ResUNet-CMB. - Anastasia Makarevich, Azade Farshad, Vasileios Belagiannis, Nassir Navab:
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. - Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. - Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. - Wanyu Bian, Yunmei Chen, Xiaojing Ye:
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities. - Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò:
Neural Distance Embeddings for Biological Sequences. - Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, David N. Spergel, Yin Li, Benjamin D. Wandelt, Andrina Nicola, Leander Thiele, Sultan Hassan, José Manuel Zorrilla Matilla, Desika Narayanan, Romeel Dave, Mark Vogelsberger:
Multifield Cosmology with Artificial Intelligence. - Junpei Komiyama, Shunya Noda:
Deviation-Based Learning. - Jiace Sun, Lixue Cheng, Thomas F. Miller III:
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process. - Emil Svoboda, Tomás Boril, Jan Rusz, Tereza Tykalová, Dana Horáková, Charles R. G. Guttmann, Krastan B. Blagoev, Hiroto Hatabu, Vlad I. Valtchinov:
Assessing clinical utility of Machine Learning and Artificial Intelligence approaches to analyze speech recordings in Multiple Sclerosis: A Pilot Study. - Andrew Pavlides, Vasiliki D. Agou, Dionissios T. Hristopulos:
Non-parametric Kernel-Based Estimation of Probability Distributions for Precipitation Modeling. - Paul Grant, Md Zahidul Islam:
Signal Classification using Smooth Coefficients of Multiple wavelets. - Bilal Hassan, Taimur Hassan, Ramsha Ahmed, Shiyin Qin, Naoufel Werghi:
Automated segmentation and extraction of posterior eye segment using OCT scans. - David Rey, Ahmed W. A. Hammad, Meead Saberi:
Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling. - Lin William Cong, Ke Tang, Bing Wang, Jingyuan Wang:
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States. - Andrea Pizzo, Andrea de Jesus Torres, Luca Sanguinetti, Thomas L. Marzetta:
Nyquist-Sampling and Degrees of Freedom of Electromagnetic Fields. - Arne Herzel, Stephan Helfrich, Stefan Ruzika, Clemens Thielen:
Approximating Biobjective Minimization Problems Using General Ordering Cones. - Stephan Helfrich, Arne Herzel, Stefan Ruzika, Clemens Thielen:
An Approximation Algorithm for a General Class of Multi-Parametric Optimization Problems. - Sihao Zhao, Hatem Abou-zeid, Ramy Atawia, Yoga Suhas Kuruba Manjunath, Akram Bin Sediq, Xiao-Ping Zhang:
Virtual Reality Gaming on the Cloud: A Reality Check. - Mohsen Dastpak, Fausto Errico:
Off-line approximate dynamic programming for the vehicle routing problem with stochastic customers and demands via decentralized decision-making. - Liang Wu, Alberto Bemporad:
A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control. - Gregory B. Rehm, Jimmy Nguyen, Chelsea Gilbeau, Marc T. Bomactao, Chen-Nee Chuah, Jason Y. Adams:
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance. - Zhi-Wei Wang, Samuel L. Braunstein:
Life, the universe and the hidden meaning of everything. - Shen-Chih Wang, Chien-Kun Ting, Cheng-Yen Chen, Chin-Su Liu, Niang-Cheng Lin, Che-Chuan Loon, Hau-Tieng Wu, Yu-Ting Lin:
Discovery of temporal structure intricacy in arterial blood pressure waveforms representing acuity of liver transplant and forecasting short term surgical outcome via unsupervised manifold learning. - Dan Shiebler:
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory. - Huan Qing, Jingli Wang:
Consistency of spectral clustering for directed network community detection. - Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images. - Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin D. Wandelt, Leander Thiele, Andrina Nicola, José Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger:
Robust marginalization of baryonic effects for cosmological inference at the field level. - Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey:
Learned Benchmarks for Subseasonal Forecasting. - Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard:
Digital Signal Processing Using Deep Neural Networks. - Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan:
Personalized Online Machine Learning. - Jan Lebert, Namita Ravi, Flavio H. Fenton, Jan Christoph:
Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks. - Yuxiang Wu, Shang Wu, Xin Wang, Chengtian Lang, Quanshi Zhang, Quan Wen, Tianqi Xu:
Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans. - Bhaswar B. Bhattacharya, Rajarshi Mukherjee:
Sparse Uniformity Testing. - Raghav Mishra, Tyson Philips, Gary W. Delaney, David Howard:
Vibration Improves Performance in Granular Jamming Grippers. - Tianfang Zhu, Yue Guan, Anan Li:
Joint Optical Neuroimaging Denoising with Semantic Tasks. - Alex Teachey, David Kipping:
Identifying Potential Exomoon Signals with Convolutional Neural Networks. - How-Hang Liu, Ronald Y. Chang, Yi-Ying Chen, I-Kang Fu:
Sensor-Based Satellite IoT for Early Wildfire Detection. - Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref, Mathieu Chagnon, Aymeric Arnould, Stenio Ranzini, Haïk Mardoyan, Fred Buchali, Jeremie Renaudier:
On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats. - Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. - David Hartman, Aneta Pokorná, Pavel Valtr:
On the Connectivity and the Diameter of Betweenness-Uniform Graphs. - Fan Zhang, Yu Wang:
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation. - Zhu Li:
Sharp Analysis of Random Fourier Features in Classification. - Pablo Alexei Gazca-Orozco, Victoria Patel:
Weak-strong Uniqueness for Heat Conducting non-Newtonian Incompressible Fluids. - Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King:
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Antoine Aspeel, Kwesi Rutledge, Raphaël M. Jungers, Benoît Macq, Necmiye Ozay:
Optimal Control for Linear Networked Control Systems with Information Transmission Constraints. - Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang:
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. - Hiromitsu Kigure:
Application of Video-to-Video Translation Networks to Computational Fluid Dynamics. - Timothy J. Rogers, Tobias Friis:
A Latent Restoring Force Approach to Nonlinear System Identification. - Celia Martín Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Sarina Thomas, Lisa Kausch, Andreas K. Maier, Holger Kunze:
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes. - Stefan Ivic, Ante Sikirica, Bojan Crnkovic:
Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field. - Michael A. C. Johnson, Marcus Paradies, Marta Dembska, Kristen Lackeos, Hans-Rainer Klöckner, David J. Champion, Sirko Schindler:
Astronomical Pipeline Provenance: A Use Case Evaluation. - Federico Pichi, Francesco Ballarin, Gianluigi Rozza, Jan S. Hesthaven:
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. - Jonas Nicodemus, Jonas Kneifl, Jörg Fehr, Benjamin Unger:
Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators. - Anthony L. Caterini, Gabriel Loaiza-Ganem:
Entropic Issues in Likelihood-Based OOD Detection. - Kunal Marwaha, Stuart Hadfield:
Bounds on approximating Max kXOR with quantum and classical local algorithms. - Simon Mackovjak, Martin Harman, Viera Maslej-Kresnáková, Peter Butka:
SCSS-Net: Solar Corona Structures Segmentation by Deep Learning. - Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz, Shuai Wan, Fuzheng Yang:
DVC-P: Deep Video Compression with Perceptual Optimizations. - Sebastian East:
Imitation Learning of Stabilizing Policies for Nonlinear Systems. - Sagar Dasgupta, Mizanur Rahman, Abhay D. Lidbe, Weike Lu, Steven L. Jones:
A Transportation Digital-Twin Approach for Adaptive Traffic Control Systems. - Alexander Paulus, Josef Knapp, Jonas Kornprobst, Thomas F. Eibert:
Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces. - Areej AlBahar, Inyoung Kim, Xiaowei Yue:
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems. - Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. - Jack H. Collins:
An Exploration of Learnt Representations of W Jets. - Luis Espath, Sebastian Krumscheid, Raúl Tempone, Pedro Vilanova:
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods. - Xu Wang, Ali Shojaie:
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes. - Hardik Parwana, Dimitra Panagou:
Recursive Feasibility Guided Optimal Parameter Adaptation of Differential Convex Optimization Policies for Safety-Critical Systems. - Yemi Ojo, Jeremy D. Watson, Khaled Laib, Ioannis Lestas:
A decentralized policy for voltage and frequency control and power sharing in inverter based microgrids. - Pietro Saggese, Alessandro Belmonte, Nicola Dimitri, Angelo Facchini, Rainer Böhme:
Who are the arbitrageurs? Empirical evidence from Bitcoin traders in the Mt. Gox exchange platform. - Nicholas Sale, Jeffrey Giansiracusa, Biagio Lucini:
Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology. - Shinji Ito:
On Optimal Robustness to Adversarial Corruption in Online Decision Problems. - Tapio Schneider, Oliver R. A. Dunbar, Jinlong Wu, Lucas Böttcher, Dmitry Burov, Alfredo Garbuno-Iñigo, Gregory LeClaire Wagner, Sen Pei, Chiara Daraio, Raffaele Ferrari, Jeffrey Shaman:
Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions. - Willem Esterhuizen, Jean Lévine:
Barriers and Potentially Safe Sets in Hybrid Systems: Pendulum with Non-Rigid Cable. - Nouédyn Baspin, Anirudh Krishna:
Quantifying nonlocality: how outperforming local quantum codes is expensive. - Ebrahim L. Patel:
A new threshold model based on tropical mathematics reveals network backbones. - Siyuan Liu, Majid Zamani:
Verification of Approximate Opacity via Barrier Certificates. - Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. - Elena Tuzhilina, Trevor Hastie:
Weighted Low Rank Matrix Approximation and Acceleration. - Jian Gao, Jin Liu, Shunping Ji:
Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching. - Valentino Vito:
Peg solitaire and Conway's soldiers on infinite graphs. - Tri Nguyen, Xiao Fu, Ruiyuan Wu:
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach. - Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu:
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. - Zhao Li, Xiao-Yu Cao, Chen-Long Li, Chen-Xun Weng, Jie Gu, Hua-Lei Yin, Zeng-Bing Chen:
Finite-key Analysis for Quantum Conference Key Agreement with Asymmetric Channels. - Nathakhun Wiroonsri:
Clustering performance analysis using new correlation based cluster validity indices. - Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. - Marco Gaudesi, Felix Weninger, Dushyant Sharma, Puming Zhan:
ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization. - Hong Soo Park, Sun K. Hong:
Encryption Device Based on Wave-Chaos for Enhanced Physical Security of Wireless Wave Transmission. - Gaiyou Li, Ping Wei, Giorgio Battistelli, Luigi Chisci, Lin Gao:
Multi-sensor joint target detection, tracking and classification via Bernoulli filter. - Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani:
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. - Sridhar Mahadevan:
Causal Inference in Network Economics. - Tuyen Trung Truong:
Generalisations and improvements of New Q-Newton's method Backtracking. - Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso:
Learning the noise fingerprint of quantum devices. - Ruud J. G. van Sloun, Jong Chul Ye, Yonina C. Eldar:
Deep Learning for Ultrasound Beamforming. - Tom Kelly, Daniela Kühn, Deryk Osthus:
A special case of Vu's conjecture: Coloring nearly disjoint graphs of bounded maximum degree. - Fangshu Yang, Jianwei Ma:
Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning. - Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova:
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images. - Rain Jiang, Kai Jiang, Minghui Jiang:
Partitioning an interval graph into subgraphs with small claws. - Sen Na, Mihai Anitescu, Mladen Kolar:
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming. - Shirshendu Ganguly, Theo McKenzie, Sidhanth Mohanty, Nikhil Srivastava:
Many nodal domains in random regular graphs. - Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. - Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh:
Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery. - Jie Hu, Vishwaraj Doshi, Do Young Eun:
Opportunistic Spectrum Access: Does Maximizing Throughput Minimize File Transfer Time? - Wei Xia, Han Lu, Quan Wang, Anshuman Tripathi, Ignacio López-Moreno, Hasim Sak:
Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection. - Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo:
Theory of overparametrization in quantum neural networks. - Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang:
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment. - Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. - Samuel Rey, Santiago Segarra, Reinhard Heckel, Antonio G. Marques:
Untrained Graph Neural Networks for Denoising. - Ippei Obayashi:
Stable Volumes for Persistent Homology. - Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views. - Akash S. Doshi, Jeffrey G. Andrews:
Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum. - Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong:
Tight error bounds and facial residual functions for the p-cones and beyond. - Mingyang Zhang, Jie Jia, Jian Chen:
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM. - Yurong Ling, Zijing Liu, Jing-Hao Xue:
Dimension Reduction for Data with Heterogeneous Missingness. - Mert Asim Karaoglu, Nikolas Brasch, Marijn F. Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos:
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. - Lei Shi, Junxing Zhang:
Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading. - Riccardo Angelo Giro, Giancarlo Bernasconi, Giuseppe Giunta, Simone Cesari:
Predicting pigging operations in oil pipelines. - José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães:
A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal. - Alberto Padoan:
On model reduction by least squares moment matching. - Sheyda Ghanbaralizadeh Bahnemiri, Mykola Ponomarenko, Karen O. Egiazarian:
Learning-based Noise Component Map Estimation for Image Denoising. - Loizos Koutsantonis, Ayman Makki, Tiago Carneiro, Emmanuel Kieffer, Pascal Bouvry:
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging. - Jie Wang, Rui Gao, Yao Xie:
Sinkhorn Distributionally Robust Optimization. - Hoang La, Mickaël Montassier:
2-distance (Δ+2)-coloring of sparse graphs. - Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli:
Is the Number of Trainable Parameters All That Actually Matters? - Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. - Bradly Alicea, Jesse Parent:
Meta-brain Models: biologically-inspired cognitive agents. - Georges Tod, Gert-Jan Both, Remy Kusters:
Discovering PDEs from Multiple Experiments. - Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnár-Gábor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste, Philipp Kellmeyer:
Towards a Governance Framework for Brain Data. - Bishoy Dawood, Carlos Llosa-Vite, Geoffrey Z. Thompson, Barbara K. Lograsso, Lauren K. Claytor, John Vanderkolk, William Q. Meeker, Ranjan Maitra, Ashraf Bastawros:
Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas. - Mingzhang Yin, Yixin Wang, David M. Blei:
Optimization-based Causal Estimation from Heterogenous Environments. - Yaqi Duan, Mengdi Wang, Martin J. Wainwright:
Optimal policy evaluation using kernel-based temporal difference methods. - Qin Shi, Xiaowei Cui, Sihao Zhao, Mingquan Lu:
Sequential TOA-Based Moving Target Localization in Multi-Agent Networks. - Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee:
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones. - Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira:
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. - A. S. Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. - Giulio Chiribella:
Process tomography in general physical theories. - Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh:
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States. - Jiahui Chen, Weihua Geng, Guo-Wei Wei:
MLIMC: Machine learning-based implicit-solvent Monte Carlo. - Kiera Kean, William J. Layton, Michael Schneier:
Clipping over dissipation in turbulence models. - Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete:
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation. - Juhun Lee, Robert M. Nishikawa:
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms. - Chun-Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams:
Use of the Deep Learning Approach to Measure Alveolar Bone Level. - Rain Jiang, Kai Jiang, Minghui Jiang:
Vertebrate interval graphs. - Hassan Moin, Hafiz Zeeshan Iqbal Khan, Surrayya Mobeen, Jamshed Riaz:
Airfoil's Aerodynamic Coefficients Prediction using Artificial Neural Network. - Shahrukh Athar, Zhongling Wang, Zhou Wang:
Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge. - Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson, Huahong Zhang, Ipek Oguz:
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble. - Jian Jiang:
MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning. - Raghu Bollapragada, Stefan M. Wild:
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization. - Nandini Raghuraman, Kartik Kaushik, Deb Niemeier:
Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland - the USA. - Jérôme Darbon, Gabriel Provencher Langlois:
Accelerated nonlinear primal-dual hybrid gradient algorithms with applications to machine learning. - Oron Sabag, Peida Tian, Victoria Kostina, Babak Hassibi:
Reducing the LQG Cost with Minimal Communication. - Qiran Jia, Hai Shu:
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation. - Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. - Pengfei Tang, Junsheng Zeng, Dongxiao Zhang, Heng Li:
Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network. - Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput:
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. - Sveinn Pálsson, Stefano Cerri, Koen Van Leemput:
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features. - Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani:
Distributed Online Optimization with Byzantine Adversarial Agents. - Jinxin Lv, Zhiwei Wang, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, Qiang Li:
Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion. - Kutay Bölat:
Channel State Information Based Localization with Deep Learning. - Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. - Xin Xing, Lin Lin:
Staggered mesh method for correlation energy calculations of solids: Random phase approximation in direct ring coupled cluster doubles and adiabatic connection formalisms. - Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton:
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes. - Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann:
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos. - Ceyhun D. Ozkaptan, Eylem Ekici, Chang-Heng Wang, Onur Altintas:
Optimal Precoder Design for MIMO-OFDM-based Joint Automotive Radar-Communication Networks. - Chinmoy Bose, Anirvan Basu:
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System. - Jiancong Chen, Yingying Zhang, Jingyi Wang, Xiaoxue Zhou, Yihua He, Tong Zhang:
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography. - Muhammad Umar B. Niazi, Alain Y. Kibangou, Carlos Canudas-de-Wit, Denis Nikitin, Liudmila Tumash, Pierre-Alexandre Bliman:
Effective Testing Policies for Controlling an Epidemic Outbreak. - Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling:
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. - Arun Padakandla:
Optimal Simulation of Quantum Measurements via the Likelihood POVMs. - Thomas D. Barrett, Aleksei O. Malyshev, A. I. Lvovsky:
Autoregressive neural-network wavefunctions for ab initio quantum chemistry. - Yibao Sun, Edgar Giussepi Lopez Molina, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang:
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images. - Eduardo Ramos-Pérez, Pablo J. Alonso-González, José Javier Núñez-Velázquez:
Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility. - Amey Bhangale, Prahladh Harsha, Sourya Roy:
Mixing of 3-term progressions in Quasirandom Groups. - Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. - Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. - Cenk Tüysüz, Carla Rieger, Kristiane Novotny, Bilge Demirköz, Daniel Dobos, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant, Richard Forster:
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction. - Daniel M. Kane, Shahed Sharif, Alice Silverberg:
Quantum Money from Quaternion Algebras. - Uzi Pereg, Christian Deppe, Holger Boche:
Classical State Masking over a Quantum Channel. - Huayang Chen, Alan Haynes:
Expected value of the smallest denominator in a random interval of fixed radius. - Isaac Goldbring:
The Connes Embedding Problem: A guided tour. - Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson:
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. - April Sagan, John E. Mitchell:
Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers. - Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis:
Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers. - Lakshmi Anirudh Ghantasala:
Leveraging Multiple CNNs for Triaging Medical Workflow. - Gangnan Yuan, Ding Deng, Jinqiao Duan, Weiguo Lu, Fengyan Wu:
Total value adjustment of Bermudan option valuation under pure jump Lévy fluctuations. - Mitsuo Kawato, Aurelio Cortese:
From internal models toward metacognitive AI. - Hirofumi Inaguma, Siddharth Dalmia, Brian Yan, Shinji Watanabe:
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates. - Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima:
Probability Distribution on Full Rooted Trees. - Chao Wang, Wen Yu Kon, Hong Jie Ng, Charles Ci Wen Lim:
Experimental symmetric private information retrieval with measurement-device-independent quantum network. - Xue Yang, Yan-Han Yang, Ming-Xing Luo:
Strong entanglement distribution of quantum networks. - Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell:
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation. - Boris Hanin:
Ridgeless Interpolation with Shallow ReLU Networks in $1D$ is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions. - Umberto Garlando, Qi Wang, Oleksandr V. Dobrovolskiy, Andrii V. Chumak, Fabrizio Riente:
Numerical model for 32-bit magnonic ripple carry adder. - Adam Glos:
Application of graph theory in quantum computer science. - Uros Cibej, Aaron Li, István Miklós, Sohaib Nasir, Varun Srikanth:
Constructing bounded degree graphs with prescribed degree and neighbor degree sequences. - Mercè Claverol, Andrea de las Heras Parrilla, Clemens Huemer, Alejandra Martínez-Moraian:
The edge labeling of higher order Voronoi diagrams. - Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. - Keru Wu, Scott C. Schmidler, Yuansi Chen:
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling. - Nicolas Fraiman, Lyuben Lichev, Dieter Mitsche:
On the power of choice for Boolean functions. - Francesco Miniati, Gianluca Gregori:
Learning Transport Processes with Machine Intelligence. - Jingliang Duan, Jie Li, Lin Zhao:
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback. - Ragunathan Mariappan, Vaibhav Rajan:
Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization. - Andrea Martinelli, Matilde Gargiani, John Lygeros:
On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control. - Christos Giotis, Alexander Serb, Vasileios Manouras, Spyros Stathopoulos, Themis Prodromakis:
Palimpsest Memories Stored in Memristive Synapses. - Pranav Gokhale, Teague Tomesh, Martin Suchara, Frederic T. Chong:
Faster and More Reliable Quantum SWAPs via Native Gates. - Shidhartho Roy, Monira Islam, Md. Salah Uddin Yusuf, Nushrat Jahan:
EEG based stress analysis using rhythm specific spectral feature for video gameplay. - Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel:
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. - Víctor Gallego:
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. - Kevin T. Grosvenor, Ro Jefferson:
The edge of chaos: quantum field theory and deep neural networks. - Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik:
Design of quantum optical experiments with logic artificial intelligence. - Changqing Wang, Xuefeng Jiang, William R. Sweeney, Chia-Wei Hsu, Yiming Liu, Guangming Zhao, Bo Peng, Mengzhen Zhang, Liang Jiang, A. Douglas Stone, Lan Yang:
Induced transparency: interference or polarization? - Bingzhi Zhang, Quntao Zhuang:
Computational phase transition in Quantum Approximate Optimization Algorithm - the difference between hard and easy. - Tianshu Wang, Peter Melchior:
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy. - Anton Bernshteyn, Tyler Brazelton, Ruijia Cao, Akum Kang:
Counting colorings of triangle-free graphs. - Craig Thompson, Paul Reverdy:
Multi-Agent Recurrent Rendezvous Using Drive-Based Motivation. - Jaejin Cho, Jesús Villalba, Najim Dehak:
The JHU submission to VoxSRC-21: Track 3. - Guilherme Duarte, Noam Finkelstein, Dean Knox, Jonathan Mummolo, Ilya Shpitser:
An Automated Approach to Causal Inference in Discrete Settings. - Arun K. Sharma, Nishchal K. Verma:
Transfer Learning based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis. - Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing:
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. - Natanael Karjanto, Husty Servina Husain:
Not another computer algebra system: Highlighting wxMaxima in calculus. - Marc Weber, Christian Ebenbauer, Bahman Gharesifard:
A Note on Nussbaum-type Control and Lie-bracket Approximation. - Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti:
On the sensitivity of linear resource sharing problems to the arrival of new agents. - Carmen Amarra, Dom Vito A. Briones, Manuel Joseph C. Loquias:
Multiple contractions of permutation arrays. - Ozer Can Devecioglu, Junaid Malik, Turker Ince, Serkan Kiranyaz, Eray Atalay, Moncef Gabbouj:
Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs. - Patnala Vanitha, Bhargavi Manupati, Inbarasan Muniraj, Satish Anamalamudi, Salla Gangi Reddy, R. P. Singh:
Physical Unclonable Functions using speckle patterns of perfect optical vortices. - Balder Croquet, Daan Christiaens, Seth M. Weinberg, Michael M. Bronstein, Dirk Vandermeulen, Peter Claes:
Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling. - Wei-Chang Yeh:
Novel General Active Reliability Redundancy Allocation Problems and Algorithm. - Benny Markovitch, Marjolein Fokkema:
Improved prediction rule ensembling through model-based data generation. - Naveed A. Abbasi, Jorge Gomez-Ponce, Revanth Kondaveti, Shahid M. Shaikbepari, Shreyas Rao, Shadi Abu-Surra, Gary Xu, Charlie Jianzhong Zhang, Andreas F. Molisch:
THz Band Channel Measurements and Statistical Modeling for Urban D2D Environments. - Sarun Kamolthip:
Macroeconomic forecasting with LSTM and mixed frequency time series data. - Aashu Jha, Chaoran Huang, Hsuan-Tung Peng, Bhavin J. Shastri, Paul R. Prucnal:
Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons. - Rabel Guharoy, Nanda Dulal Jana, Suparna Biswas:
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers. - Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu:
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query. - Matthew Perez, Amrit Romana, Angela Roberts, Noelle Carlozzi, Jennifer Ann Miner, Praveen Dayalu, Emily Mower Provost:
Articulatory Coordination for Speech Motor Tracking in Huntington Disease. - Paul Grant, Md Zahidul Islam:
EEG Signal Processing using Wavelets for Accurate Seizure Detection through Cost Sensitive Data Mining. - Shafin Haque, Ayaan Haque:
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework. - Alphan Sahin, Safi Shams Muhtasimul Hoque, Chao-Yu Chen:
Index Modulation with Circularly-Shifted Chirps for Dual-Function Radar and Communications. - Alessio Benavoli, Jason Wyse, Arthur J. White:
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect. - Ye-Sheen Lim, Denise Gorse:
Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow. - Stefan Lüders, Klaus Dolag:
PSI: Constructing ad-hoc Simplices to Interpolate High-Dimensional Unstructured Data. - Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. - Giulia Zorzi, Luca Berta, Stefano Carrazza, Alberto Torresin:
A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients. - Ioanna Siaminou, Athanasios P. Liavas:
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition. - Wentao Li, Jiayi Tong, Md. Monowar Anjum, Noman Mohammed, Yong Chen, Xiaoqian Jiang:
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources. - Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara:
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging. - Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell:
The impact of non-target events in synthetic soundscapes for sound event detection. - Philip Greengard:
Efficient Fourier representations of families of Gaussian processes. - Jonathan Franceschi, Lorenzo Pareschi:
Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation. - YoonHaeng Hur, Wenxuan Guo, Tengyuan Liang:
Reversible Gromov-Monge Sampler for Simulation-Based Inference. - Cenk Demir, Shumon Koga, Miroslav Krstic:
Neuron Growth Control by PDE Backstepping: Axon Length Regulation by Tubulin Flux Actuation in Soma. - Masahisa Goto, Koji M. Kobayashi:
Connected domination in grid graphs. - Elle Buser, Emma Hart, Ben Huenemann:
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images. - Martin Doff-Sotta, Mark Cannon, Marko Bacic:
Fast optimal trajectory generation for a tiltwing VTOL aircraft with application to urban air mobility. - Dieter Bothe, Matthias Niethammer, Christian Pilz, Günter Brenn:
On the molecular mechanism behind the bubble rise velocity jump discontinuity in viscoelastic liquids. - Yang Zhao, Yanbo Ma, Yuan Chen, Wei Jia, Ronggang Wang, Xiaoping Liu:
Multi-frame Joint Enhancement for Early Interlaced Videos. - Taiga Hiroka, Tomoyuki Morimae, Ryo Nishimaki, Takashi Yamakawa:
Certified Everlasting Zero-Knowledge Proof for QMA. - Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi:
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. - Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention. - Hans De Sterck, Yunhui He:
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis. - Khazar Khorrami, Okko Räsänen:
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? - A computational investigation. - Philip Solimine, Luke Boosey:
Resource sharing on endogenous networks. - Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. - Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang:
Flow Based Models For Manifold Data. - Sheheryar Khan, Basim Azam, Yongcheng Yao, Weitian Chen:
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI. - Wanyang Dai:
n-Qubit Operations on Sphere and Queueing Scaling Limits for Programmable Quantum Computer. - Antoine Dubois, Damien Ernst:
Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. - Jongkyeong Kang, Seung Jun Shin:
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space. - Lun Yang, Yinliang Xu, Jianguo Zhou, Hongbin Sun:
Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System. - Antonio Fernández-Romero, Francisco Guillén-González, A. Suárez:
A Glioblastoma PDE-ODE model including chemotaxis and vasculature. - Juncheng Li, Zehua Pei, Tieyong Zeng:
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution. - Lin Fu:
Very-high-order TENO schemes with adaptive accuracy order and adaptive dissipation control. - Jakob Poncelet, Hugo Van hamme:
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch. - Adam Szwajcowski:
Objective-oriented method for uniformation of various directivity representations. - Leila Eftekhari, Mohammad M. Amirian:
Stability Analysis of Fractional Order Memristor Synapse-coupled Hopfield Neural Network with Ring Structure. - Liyue Zhang, Qing Wang, Haozhi Wang:
Multiple Intelligent Reflecting Surface aided Multi-user Weighted Sum-Rate Maximization using Manifold Optimization. - Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani:
Multi-loss ensemble deep learning for chest X-ray classification. - Paula Sánchez López, Paul Callens, Milos Cernak:
A Universal Deep Room Acoustics Estimator. - Alireza Golahmar, Philip K. Kristensen, Christian F. Niordson, Emilio Martínez-Pañeda:
A phase field model for hydrogen-assisted fatigue. - Daniel Freeman, Dorsa Ghoreishi:
Discretizing $L_p$ norms and frame theory. - Ali Demirci, Yasin Hasanoglu, Gulcin M. Muslu, Cihangir Özemir:
On the Rosenau equation: Lie symmetries, periodic solutions and solitary wave dynamics. - Antonio Terpin, Sylvain Fricker, Michel Perez, Mathias Hudoba de Badyn, Florian Dörfler:
Distributed Feedback Optimisation for Robotic Coordination. - Hoang La, Mickaël Montassier:
$2$-distance list $(Δ+2)$-coloring of planar graphs with girth at least 10. - Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein:
Towards a theory of out-of-distribution learning. - Aicke Hinrichs, Joscha Prochno, Mathias Sonnleitner:
Random sections of $\ell_p$-ellipsoids, optimal recovery and Gelfand numbers of diagonal operators. - Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay, Jules Merlin Mouatcho Moualeu, Abhishek Srivastava:
An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks. - Tim Janke, Mohamed Ghanmi, Florian Steinke:
Implicit Generative Copulas. - Jiaxi Jiang, Kai Zhang, Radu Timofte:
Towards Flexible Blind JPEG Artifacts Removal. - Marco Armenta, Thomas Brüstle, Souheila Hassoun, Markus Reineke:
Double framed moduli spaces of quiver representations. - Nicolas Delfosse, Michael E. Beverland, Maxime A. Tremblay:
Bounds on stabilizer measurement circuits and obstructions to local implementations of quantum LDPC codes. - David P. Nadlinger, Peter Drmota, B. C. Nichol, Gabriel Araneda, D. Main, Raghavendra Srinivas, David M. Lucas, Christopher J. Ballance, Kirill Ivanov, Ernest Y.-Z. Tan, Pavel Sekatski, Rüdiger L. Urbanke, Renato Renner, Nicolas Sangouard, Jean-Daniel Bancal:
Device-Independent Quantum Key Distribution. - Maxime A. Tremblay, Nicolas Delfosse, Michael E. Beverland:
Constant-overhead quantum error correction with thin planar connectivity. - Sanjukta Krishnagopal, Keith Lohse, Robynne Braun:
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. - Shreya Ahirwar, Anthony Bonato, Leanna Gittins, Alice Huang, Trent G. Marbach, Tomer Zaidman:
Pursuit-evasion games on latin square graphs. - Evan Schwab, Gabriela Oana Cula, Kristopher Standish, Stephen S. F. Yip, Aleksandar Stojmirovic, Louis Ghanem, Christel Chehoud:
Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning. - James Allen Fill, Wei-Chun Hung:
Density functions for QuickQuant and QuickVal. - Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger:
Kernel distance measures for time series, random fields and other structured data. - Zheng Yuan, Andre Esteva, Ran Xu:
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. - Sihan Zeng, Thinh T. Doan, Justin Romberg:
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. - Leonardo Crespi, Daniele Loiacono, Arturo Chiti:
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features. - Xinmeng Li, Li-Ping Liu, Soha Hassoun:
Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction. - Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk:
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. - Matthew J. Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics. - Silu Zhang, Angela Edwards, Shubo Wang, Zoltan Patay, Asim Bag, Matthew A. Scoggins:
A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors. - Yihua Yang:
Automated airway segmentation by learning graphical structure. - Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim:
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images. - Bruno A. Krinski, Daniel Vitor Ruiz, Eduardo Todt:
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation. - Zexu Pan, Meng Ge, Haizhou Li:
USEV: Universal Speaker Extraction with Visual Cue. - Haichuan Ma, Dong Liu, Cunhui Dong, Li Li, Feng Wu:
End-to-End Image Compression with Probabilistic Decoding. - Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen:
Adversarial Regression with Doubly Non-negative Weighting Matrices. - Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan:
Extracting stochastic dynamical systems with $α$-stable Lévy noise from data. - Linas Stripinis, Remigijus Paulavicius:
An empirical study of various candidate selection and partitioning techniques in the DIRECT framework. - Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. - Revannath Dnyandeo Nikam, Jongwon Lee, Wooseok Choi, Writam Banerjee, Myonghoon Kwak, Manoj Yadav, Hyunsang Hwang:
Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing. - Tobias Hartnick, Alexey L. Talambutsa:
Efficient computations with counting functions on free groups and free monoids. - Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt:
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - James King, Ramón Viñas Torné, Alexander Campbell, Pietro Liò:
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution. - Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. - Minhui Huang, Shiqian Ma, Lifeng Lai:
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. - Jaeyoung Cheong, Heejoon Lee, Minjung Kang:
Stock Index Prediction using Cointegration test and Quantile Loss. - Jiahao Li, Bin Li, Yan Lu:
Deep Contextual Video Compression. - Giorgos P. Tsironis, Georgios D. Barmparis, D. K. Campbell:
Dynamical symmetry breaking through AI: The dimer self-trapping transition. - Jinlong Ruan, Wei Wu, Jiebo Luo:
Stock Price Prediction Under Anomalous Circumstances. - Pengzhou Wu, Kenji Fukumizu:
Towards Principled Causal Effect Estimation by Deep Identifiable Models. - Andreas Wachter, Werner Nahm:
Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks. - Yuquan Chen, Yiheng Wei, YangQuan Chen:
Finite-time and Fixed-time Convergence in Continuous-time Optimization. - Daniel Silva Graça, Ning Zhong:
Analytic one-dimensional maps and two-dimensional ordinary differential equations can robustly simulate Turing machines. - Daniel Silva Graça, Ning Zhong:
Robustness of non-computability. - Mustaffa Hussain, Ritesh Gangnani, Sasidhar Kadiyala:
Robust Multi-Domain Mitosis Detection. - Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren:
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction. - Wentao Yu, Jan Freiwald, Sören Tewes, Fabien Huennemeyer, Dorothea Kolossa:
Federated Learning in ASR: Not as Easy as You Think. - Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad:
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications. - Annamalai Natarajan, Gregory Boverman, Yale Chang, Corneliu Antonescu, Jonathan Rubin:
Convolution-Free Waveform Transformers for Multi-Lead ECG Classification. - Jinlin Lai, Daniel Sheldon, Justin Domke:
Variational Marginal Particle Filters. - Rebeka O. Szabo, Sandeep Chowdhary, David Deritei, Federico Battiston:
The anatomy of social dynamics in escape rooms. - Paolo Gallina, Massimiliano Gei, Lorenzo Scalera, Stefano Seriani:
Liquid Structures: a novel Computational Fluid Dynamics (CFD) inspired metamaterial. - Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen:
Causal Matrix Completion. - Yi Ren, Jinglin Liu, Zhou Zhao:
PortaSpeech: Portable and High-Quality Generative Text-to-Speech. - Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner:
Variational learning of quantum ground states on spiking neuromorphic hardware. - Erwan Faou, Benoît Grébert:
Discrete pseudo-differential operators and applications to numerical schemes. - François Pirot, Eoin Hurley:
A first moment proof of the Johansson-Molloy theorem. - Eryk Lipka, Maciej Ulas:
A Fibonacci type sequence with Prouhet-Thue-Morse coefficients. - Changqing Wang, Zhoutian Fu, Lan Yang:
Non-Hermitian physics and engineering in silicon photonics. - Thomas Dick, Stephan Schmidt, Nicolas R. Gauger:
Combining Sobolev Smoothing with Parameterized Shape Optimization. - Sander Gribling, Harold Nieuwboer:
Improved quantum lower and upper bounds for matrix scaling. - Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian:
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. - Kaiwen Zhou, Anthony Man-Cho So, James Cheng:
Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. - Shamsulhaq Basir, Inanc Senocak:
Physics and Equality Constrained Artificial Neural Networks: Application to Partial Differential Equations. - Bingzhao Zhu, Uisub Shin, Mahsa Shoaran:
Closed-Loop Neural Prostheses with On-Chip Intelligence: A Review and A Low-Latency Machine Learning Model for Brain State Detection. - Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin:
Curvature-Aware Derivative-Free Optimization. - Yongcheng Ding, José D. Martín-Guerrero, Yujing Song, José Rafael Magdalena Benedicto, Xi Chen:
Active Learning for the Optimal Design of Multinomial Classification in Physics. - Li Yu, Xue-Tong Zhang, Fuqun Wang, Chui-Ping Yang:
Check-based generation of one-time tables using qutrits. - Yibo Liu, Amal Haridevan, Hunter Schofield, Jinjun Shan:
Application of Ghost-DeblurGAN to Fiducial Marker Detection. - Kentaro Mitsui, Kei Sawada:
MSR-NV: Neural Vocoder Using Multiple Sampling Rates. - Tatsuaki Wada:
A short note on basic of information geometry from thermodynamics and thermostatistics. - Tobias Gergs, Borislav Borislavov, Jan Trieschmann:
An efficient plasma-surface interaction surrogate model for sputtering processes based on autoencoder neural networks.
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