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ORCIDCoRR, April 2020
- Andrzej Jarynowski, Monika Wojta-Kempa, Vitaly Belik:
Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet. - Yiqin Zhao, Tian Guo:
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality. - Clément L. Canonne, Gautam Kamath, Thomas Steinke:
The Discrete Gaussian for Differential Privacy. - Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos, Ander Barrena, Xabier Saralegi, Aitor Soroa, Eneko Agirre:
Give your Text Representation Models some Love: the Case for Basque. - Christian Krüger, Tanja Kojic, Luis Meier, Sebastian Möller, Jan-Niklas Voigt-Antons:
Development and Validation of Pictographic Scales for Rapid Assessment of Affective States in Virtual Reality. - Gianmaria DelMonte, Elia Onofri
, Giorgio Scorzelli, Alberto Paoluzzi:
Local congruence of chain complexes. - João P. Abrantes, Arnaldo J. Abrantes, Frans A. Oliehoek:
Mimicking Evolution with Reinforcement Learning. - Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou:
In-Domain GAN Inversion for Real Image Editing. - Elena Zotova, Rodrigo Agerri, Manuel Núñez, German Rigau:
Multilingual Stance Detection: The Catalonia Independence Corpus. - Congzheng Song, Ananth Raghunathan:
Information Leakage in Embedding Models. - Scott Viteri, Simon DeDeo:
Explosive Proofs of Mathematical Truths. - Abdeslem Hafid Bentbib, M. El Ghomari, Khalide Jbilou:
The global extended-rational Arnoldi method for matrix function approximation. - Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall:
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation. - Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Explanations for Science Questions. - Michael Leventhal, Allahsera Tapo, Sarah Luger, Marcos Zampieri, Christopher M. Homan:
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study. - Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. - Nidhi Rastogi, Mohammed J. Zaki:
Personal Health Knowledge Graphs for Patients. - Sabah Al-Fedaghi:
Modeling the Realization and Execution of Functions and Functional Requirements. - Abdul Rafae Khan, Asim Karim, Hassan Sajjad, Faisal Kamiran, Jia Xu:
A Clustering Framework for Lexical Normalization of Roman Urdu. - Arijit Das, Tapas Halder, Diganta Saha:
Automatic Extraction of Bengali Root Verbs using Paninian Grammar. - Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration of Negotiation Strategies. - Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan:
Optimal Bidding Strategy without Exploration in Real-time Bidding. - Doyeon Kim, Hye Won Chung:
Crowdsourced Labeling for Worker-Task Specialization Block Model. - Arijit Das, Diganta Saha:
Improvement of electronic Governance and mobile Governance in Multilingual Countries with Digital Etymology using Sanskrit Grammar. - Kunwoo Park, Haewoon Kwak, Hyunho Song, Meeyoung Cha:
"Trust me, I have a Ph.D.": A Propensity Score Analysis on the Halo Effect of Disclosing One's Offline Social Status in Online Communities. - Hector Sanjuan, Samuli Poyhtari, Pedro Teixeira, Ioannis Psaras:
Merkle-CRDTs: Merkle-DAGs meet CRDTs. - Amadou Moctar Kane:
How to transform the Apple's application 'Find My' into a toolbox for whistleblowers. - Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone:
APPLD: Adaptive Planner Parameter Learning from Demonstration. - Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images. - Longfei Zeng, Mohammed Sabah:
EOLO: Embedded Object Segmentation only Look Once. - Carlos Areces, Raul Fervari:
Axiomatizing Hybrid XPath with Data. - Amine Mhedhbi, Pranjal Gupta, Shahid Khaliq, Semih Salihoglu:
A+ Indexes: Lightweight and Highly Flexible Adjacency Lists for Graph Database Management Systems. - Siyuan Liu, Majid Zamani:
Compositional Synthesis of Opacity-Preserving Finite Abstractions for Interconnected Systems. - João Antônio Chagas Nunes, David L. Macêdo, Cleber Zanchettin:
AM-MobileNet1D: A Portable Model for Speaker Recognition. - Zihan Ding, Nathan F. Lepora, Edward Johns:
Sim-to-Real Transfer for Optical Tactile Sensing. - Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell:
Revisiting Few-shot Activity Detection with Class Similarity Control. - Olivier Bal-Pétré, Pierre Varlez, Fernando Pérez-Téllez:
Pacloud: Towards a Universal Cloud-based Linux Package Manager. - Larissa Schmidt, Lucy Linder, Sandra Djambazovska, Alexandros Lazaridis, Tanja Samardzic, Claudiu Musat:
A Swiss German Dictionary: Variation in Speech and Writing. - Ligong Han, Robert F. Murphy, Deva Ramanan:
Learning Generative Models of Tissue Organization with Supervised GANs. - Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, Yen-Yu Lin:
Deep Semantic Matching with Foreground Detection and Cycle-Consistency. - Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahatani:
Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding. - Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi:
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. - Jintasit Pravitra, Kasey A. Ackerman, Chengyu Cao, Naira Hovakimyan, Evangelos A. Theodorou:
L1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors. - Wanli He, Philip Avery, Charbel Farhat:
In-situ adaptive reduction of nonlinear multiscale structural dynamics models. - Sergey Shchanikov, Anton Zuev, Ilya Bordanov, Sergey Danilin, Dmitry S. Korolev, Alexey I. Belov, Yana I. Pigareva, Alexey S. Pimashkin, Alexey N. Mikhaylov, Victor B. Kazantsev:
Design and Simulation of Memristor-Based Artificial Neural Network for Bidirectional Adaptive Neural Interface. - Yu Tang, Li Jin:
Analysis and Control of Dynamic Flow Networks Subject to Stochastic Cyber-Physical Disruptions. - Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish:
Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation. - Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. - Ruikun Luo, Yifan Weng, Yifan Wang, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang:
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving. - Shengjie Zhu, Garrick Brazil, Xiaoming Liu:
The Edge of Depth: Explicit Constraints between Segmentation and Depth. - Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. - Jinshan Zeng, Min Zhang, Shao-Bo Lin:
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping. - Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell:
Spatio-Temporal Action Detection with Multi-Object Interaction. - Fouad Yacef, Nassim Rizoug, Laid Degaa:
Energy-Efficiency Path Planning for Quadrotor UAV Under Wind Conditions. - Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf:
A theory of independent mechanisms for extrapolation in generative models. - Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai:
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. - Lee Callender, Curtis Hawthorne, Jesse H. Engel:
Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset. - Vijay Gadepally, Jeremy Kepner:
Technical Report: Developing a Working Data Hub. - Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang:
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network. - Shaosheng Zhou, Yingying Han, Baoyong Zhang:
Stabilization of Itô Stochastic T-S Models via Line Integral and Novel Estimate for Hessian Matrices. - Samir Wadhwa, Roy Dong:
Failure of Equilibrium Selection Methods for Multiple-Principal, Multiple-Agent Problems with Non-Rivalrous Goods: An Analysis of Data Markets. - Tong Wang, Lei Zhu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang:
Task-adaptive Asymmetric Deep Cross-modal Hashing. - Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon:
Extreme Multi-label Classification from Aggregated Labels. - Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin L. C. Guo, Kenichi Matsumoto:
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution. - Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi:
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. - Chiho Choi:
Shared Cross-Modal Trajectory Prediction for Autonomous Driving. - Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. - Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni:
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound. - Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao:
BCNet: Learning Body and Cloth Shape from A Single Image. - Eric L. Goodman, Dirk Grunwald:
Streaming Temporal Graphs: Subgraph Matching. - Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. - Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez:
NBDT: Neural-Backed Decision Trees. - Sijie Zhu, Chen Chen, Waqas Sultani:
Video Anomaly Detection for Smart Surveillance. - Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein:
MetaPoison: Practical General-purpose Clean-label Data Poisoning. - Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu:
Pose-guided Visible Part Matching for Occluded Person ReID. - Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. - Michelle L. Blom, Andrew Conway, Dan King, Laurent Sandrolini, Philip B. Stark, Peter J. Stuckey, Vanessa Teague:
You can do RLAs for IRV. - Valmik Prabhu, Amay Saxena, S. Shankar Sastry:
Exponentially Stable First Order Control on Matrix Lie Groups. - Jafar Abbaszadeh Chekan, Cedric Langbort:
Regret Bounds for LQ Adaptive Control Under Database Attacks (Extended Version). - Sho Ko, Yun Joon Soh, Jishen Zhao:
Efficient Implementation of Multi-Channel Convolution in Monolithic 3D ReRAM Crossbar. - Zhi Han, Siquan Yu, Shao-Bo Lin, Ding-Xuan Zhou:
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization. - Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Cunhang Fan:
Adversarial Transfer Learning for Punctuation Restoration. - Rhys Newbury, Kerry He, Akansel Cosgun, Tom Drummond:
Learning to Place Objects onto Flat Surfaces in Human-Preferred Orientations. - Jin-Woo Seo, Honggyu Jung, Seong-Whan Lee:
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning. - Karim Baïna:
Leveraging Data Preparation, HBase NoSQL Storage, and HiveQL Querying for COVID-19 Big Data Analytics Projects. - Weichao Li, Xi Li, Omar El Farouk Bourahla, Fuxian Huang, Fei Wu, Wei Liu, Zhiheng Wang, Hongmin Liu:
Progressive Multi-Stage Learning for Discriminative Tracking. - Kaan Genç, Michael D. Bond, Guoqing Harry Xu:
Crafty: Efficient, HTM-Compatible Persistent Transactions. - Kailai Xu, Daniel Zhengyu Huang, Eric Darve:
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. - Liliana Ardissono, Matteo Delsanto, Maurizio Lucenteforte, Noemi Mauro, Adriano Savoca, Daniele Scanu:
Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis. - Ingrid Nunes, Christoph Treude, Fabio Calefato:
The Impact of Dynamics of Collaborative Software Engineering on Introverts: A Study Protocol. - Evgeny Tsykunov, Valery Ilin, Stepan Perminov, Aleksey Fedoseev, Elvira Zainulina:
Coupling of localization and depth data for mapping using Intel RealSense T265 and D435i cameras. - Lei Zhao, Xiaohui Wang, Lei Huang:
An Efficient Agreement Mechanism in CapsNets By Pairwise Product. - Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud:
Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning. - Aicke Hinrichs, David Krieg, Erich Novak, Jan Vybíral:
Lower Bounds for the Error of Quadrature Formulas for Hilbert Spaces. - Yu Wang, Hussein Sibai, Sayan Mitra, Geir E. Dullerud:
Differential Privacy for Sequential Algorithms. - Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. - Chuchu Fan, Xin Qin, Jyotirmoy V. Deshmukh:
Parameter Searching and Partition with Probabilistic Coverage Guarantees. - Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian:
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. - Alireza Aghabagherloo, Javad Mohajeri, Mahmoud Salmasizadeh, Mahmood Mohassel Feghhi:
An Efficient Anonymous Authentication Scheme Using Registration List in VANETs. - Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang:
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. - Fabio Calefato, Andrea Giove, Marco Losavio, Filippo Lanubile:
A Case Study on Tool Support for Collaboration in Agile Development. - Axel Mascaro, Christophe Rey:
Recommandation ontologique multicritère pour la métrologie. - Christoffer Bøgelund Rasmussen, Thomas B. Moeslund:
Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage. - Noemi Mauro, Liliana Ardissono, Laura Di Rocco, Michela Bertolotto, Giovanna Guerrini:
Impact of Semantic Granularity on Geographic Information Search Support. - Italo Atzeni, Bikshapathi Gouda, Antti Tölli:
Distributed Precoding Design via Over-the-Air Signaling for Cell-Free Massive MIMO. - Nicole Novielli, Fabio Calefato, Davide Dongiovanni, Daniela Girardi, Filippo Lanubile:
Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting? - Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. - Dan Halbersberg, Aharon Bar-Hillel, Shon Mendelson, Daniel A. Koster, Lena Karol, Boaz Lerner:
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata. - Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang:
High-Performance Long-Term Tracking with Meta-Updater. - Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. - Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. - Joey Reinders, Ruben Verkade, Bram Hunnekens, Nathan van de Wouw, Tom Oomen:
Improving mechanical ventilation for patient care through repetitive control. - Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian:
Learning to Select Base Classes for Few-shot Classification. - Volodymyr Buriachok, Volodymyr Sokolov, Mahyar Taj Dini:
Research of Caller ID Spoofing Launch, Detection, and Defense. - Yi Yu, Vu X. Nguyen, Gaoxi Xiao:
Effects of Initial State on Opinion Formation in Complex Social Networks with Noises. - Dang Quang A, Nguyen Quoc Hung, Vu Vinh Quang:
Existence results and numerical method of fourth order convergence for solving a nonlinear triharmonic equation. - Igor Santesteban, Elena Garces, Miguel A. Otaduy, Dan Casas:
SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans. - Brendan Case, Per Kristian Lehre:
Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure. - Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara:
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. - Kajol Gupta:
Digit Recognition Using Convolution Neural Network. - Sergei Tikhomirov, Rene Pickhardt, Alex Biryukov, Mariusz Nowostawski:
Probing Channel Balances in the Lightning Network. - Alexandre Richard, Xiaolu Tan, Fan Yang:
Discrete-time Simulation of Stochastic Volterra Equations. - Sören Bartels, Christian Palus:
Stable Gradient Flow Discretizations for Simulating Bilayer Plate Bending with Isometry and Obstacle Constraints. - Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy V. Pyrkin, Sergei Popov, Artem Babenko:
Editable Neural Networks. - Liyuan Pan, Miaomiao Liu, Richard Hartley:
Single Image Optical Flow Estimation with an Event Camera. - Irene Vlassi Pandi, Earl T. Barr, Andrew D. Gordon, Charles Sutton:
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints. - Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen:
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models. - Jürgen Dölz, Herbert Egger, Vsevolod Shashkov:
A convolution quadrature method for Maxwell's equations in dispersive media. - Ajay Kumar Gogineni, S. Swayamjyoti, Devadatta Sahoo, Kisor K. Sahu, Raj Kishore:
Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing. - Paul Ferrand, Alexis Decurninge, Maxime Guillaud:
DNN-based Localization from Channel Estimates: Feature Design and Experimental Results. - Lina S. Mohjazi, Ahmed Zoha, Lina Bariah, Sami Muhaidat, Paschalis C. Sofotasios, Muhammad Ali Imran, Octavia A. Dobre:
An Outlook on the Interplay of AI and Software-Defined Metasurfaces. - Samer Henry, Ahmed Alsohaily, Elvino Sousa:
5G is Real: Evaluating the Compliance of the 3GPP 5G New Radio System with the ITU IMT-2020 Requirements. - Sumit Jagdish Darak, Manjesh Kumar Hanawal:
Distributed Learning in Ad-Hoc Networks: A Multi-player Multi-armed Bandit Framework. - Federico Lisi, Giacinto Losquadro, Andrea Tortorelli, Antonio Ornatelli, Manuel Donsante:
Multi-Connectivity in 5G terrestrial-Satellite Networks: the 5G-ALLSTAR Solution. - De Mi, Joe Eyles, Tero Jokela, Swen Petersen, Roman Odarchenko, Ece Öztürk, Duy-Kha Chau, Tuan Tran, Rory Turnbull, Heikki Kokkinen, Baruch Altman, Menno Bot, Darko Ratkaj, Olaf Renner, David Gomez-Barquero, Jordi Joan Gimenez:
Demonstrating Immersive Media Delivery on 5G Broadcast and Multicast Testing Networks. - Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth, Maria Kihl:
Impact of etcd Deployment on Kubernetes, Istio, and Application Performance. - Nkechi Ifeanyi-Reuben, Chidiebere Ugwu:
An Improved Classification Model for Igbo Text Using N-Gram And K-Nearest Neighbour Approaches. - Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
A New Challenge: Approaching Tetris Link with AI. - Weiheng Jiang, Xiaogang Wu, Bolin Chen, Wenjiang Feng, Yi Jin:
Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems. - Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay:
Resistance of communities against disinformation. - Dongdong Yang, Kevin Dyer, Senzhang Wang:
Interpretable Deep Learning Model for Online Multi-touch Attribution. - Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan:
Deep Learning on Knowledge Graph for Recommender System: A Survey. - Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang:
More Grounded Image Captioning by Distilling Image-Text Matching Model. - Pouya Badri, Mahdi Sojoodi:
A novel LMI-based Method for Robust Stabilization of Fractional-order Interval Systems with 1≤α<2. - Pudong Ge, Boli Chen, Fei Teng:
Event-triggered distributed MPC for voltage control of an islanded microgrid. - Frank Emrich, Sam Lindley, Jan Stolarek, James Cheney, Jonathan Coates:
FreezeML: Complete and Easy Type Inference for First-Class Polymorphism. - Simson L. Garfinkel, J. Spencer Love:
A File System For Write-Once Media. - Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-shot Spatially-varying BRDF and Shape Estimation. - Akbar Mazhari Saray, Jafar Pourrostam, Seyed Hosein Mousavi, Mahmood Mohassel Feghhi:
A Low Complexity Space-Time Block Codes Detection for Cell-Free Massive MIMO Systems. - Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. - Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung:
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. - Samuel Harford, Fazle Karim, Houshang Darabi:
Adversarial Attacks on Multivariate Time Series. - Zekarias T. Kefato, Sarunas Girdzijauskas:
Gossip and Attend: Context-Sensitive Graph Representation Learning. - Sergey P. Tsarev, Alexey A. Kytmanov:
Discrete orthogonal polynomials as a tool for detection of small anomalies of time series: a case study of GPS final orbits. - Joaquín Velázquez, Héctor Cancela, Pedro Piñeyro:
A hybrid optimization procedure for solving a tire curing scheduling problem. - Pawel Pelka, Grzegorz Dudek:
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods. - Movses Musaelian, Anane Boateng, Md. Zakirul Alam Bhuiyan:
A Semi-Dynamic Bus Routing Infrastructure based on MBTA Bus Data. - Igor Furtat:
Stability and Instability Divergence Conditions for Dynamical Systems. - Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes. - Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. - Mohammad Braei, Sebastian Wagner:
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art. - Sherif Abdelkarim, Panos Achlioptas, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss. - Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger:
Handling Concept Drifts in Regression Problems - the Error Intersection Approach. - Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. - Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin:
Learning to Cluster Faces via Confidence and Connectivity Estimation. - Daniel Cores, Víctor M. Brea, Manuel Mucientes:
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos. - Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo:
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. - Thomas Führer, Carlos García Vera, Norbert Heuer:
A locking-free DPG scheme for Timoshenko beams. - Shuangyue Yu, Tzu-Hao Huang, Xiaolong Yang, Chunhai Jiao, Jianfu Yang, Hang Hu, Sainan Zhang, Yue Chen, Jingang Yi, Hao Su:
Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth. - Jianyu Su, Stephen C. Adams, Peter A. Beling:
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication. - Archana Bura, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland-Tremblay:
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. - Jinghuan Ma, Jie Gu, Zhijian Jin:
Dimensional Pricing Based on Dynamism of Load. - Christopher W. Cleghorn, Belinda Stapelberg:
Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions. - Reda Marzouk, Colin de la Higuera:
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results. - Sultan Noman Qasem, Amir Mosavi:
Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search. - Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Two-Stage Query Equivalence Verifier. - Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Medical-based Deep Curriculum Learning for Improved Fracture Classification. - Hisayoshi Muramatsu, Seiichiro Katsura:
An Adaptive Periodic-Disturbance Observer for Periodic-Disturbance Suppression. - Jinke Ren, Yinghui He, Dingzhu Wen, Guanding Yu, Kaibin Huang, Dongning Guo:
Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness. - Johannes M. van Hulst, Mattia Zeni, Alexander Kröller, Cassandra Moons, Pierluigi Casale:
Beyond privacy regulations: an ethical approach to data usage in transportation. - David Tomic, Sandra Hofmann, Mustafa Özger, Dominic Schupke, Cicek Cavdar:
Quality of Service Aware Traffic Management for Aircraft Communications. - Shengbin Jia, Shijia E, Yang Xiang:
Parasitic Neural Network for Zero-Shot Relation Extraction. - Anirudh Vemula, Wen Sun, J. Andrew Bagnell:
Exploration in Action Space. - Simran K, Sriram S, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security. - Simran K, Prathiksha Balakrishna, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. - Sarah Bordage, Julien Lavauzelle:
On the privacy of a code-based single-server computational PIR scheme. - Roberto Di Cosmo:
Archiving and referencing source code with Software Heritage. - Christoph Günther, Michael Günther, Daniel Günther:
Tracing Contacts to Control the COVID-19 Pandemic. - Mehrnoosh Shafiee, Javad Ghaderi:
Scheduling Parallel-Task Jobs Subject to Packing and Placement Constraints. - Benjamin Karg, Sergio Lucia:
Stability and feasibility of neural network-based controllers via output range analysis. - Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. - Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite, Florentin Wörgötter:
Generation of Paths in a Maze using a Deep Network without Learning. - Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen:
Future Video Synthesis with Object Motion Prediction. - James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun:
Physically Realizable Adversarial Examples for LiDAR Object Detection. - Christophe Paul, Guillaume Mescoff, Dimitrios M. Thilikos:
A polynomial time algorithm to compute the connected tree-width of a series-parallel graph. - Michael Hinze, Denis Korolev:
A space-time certified reduced basis method for quasilinear parabolic partial differential equations. - Bin Wang, Tao Lu, Yanduo Zhang:
Feature-Driven Super-Resolution for Object Detection. - Gabriele Santin, Toni Karvonen, Bernard Haasdonk:
Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. - Lev Reyzin:
Statistical Queries and Statistical Algorithms: Foundations and Applications. - Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. - Debapriya Roy, Sanchayan Santra, Bhabatosh Chanda:
LGVTON: A Landmark Guided Approach to Virtual Try-On. - Xun Xian, Xinran Wang, Jie Ding, Reza Ghanadan:
Assisted Learning and Imitation Privacy. - Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer:
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. - Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter:
One-shot path planning for multi-agent systems using fully convolutional neural network. - Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi:
Tightened Convex Relaxations for Neural Network Robustness Certification. - Henning Lange, Steven L. Brunton, J. Nathan Kutz:
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction. - Robert J. Colvin, Kirsten Winter:
An abstract semantics of speculative execution for reasoning about security vulnerabilities. - Yuelin Zhao, Roy Dong:
Incentivizing Truthful Reporting from Strategic Sensors in Dynamical Systems. - Alan J. X. Guo, Fei Zhu:
Boosting Deep Hyperspectral Image Classification with Spectral Unmixing. - Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, Wang-Chiew Tan:
Deep Entity Matching with Pre-Trained Language Models. - Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu:
Symmetry and Group in Attribute-Object Compositions. - Kayo Yin:
Sign Language Translation with Transformers. - Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Work in Progress: Temporally Extended Auxiliary Tasks. - Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti:
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. - Tomas Hodan, Daniel Barath, Jiri Matas:
EPOS: Estimating 6D Pose of Objects with Symmetries. - Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-aware Canonical Surface Mapping. - Nicholas Carlini, Hany Farid:
Evading Deepfake-Image Detectors with White- and Black-Box Attacks. - Filip Tronarp, Simo Särkkä, Philipp Hennig:
Bayesian ODE Solvers: The Maximum A Posteriori Estimate. - Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
Background Matting: The World is Your Green Screen. - Titas Anciukevicius, Christoph H. Lampert, Paul Henderson:
Object-Centric Image Generation with Factored Depths, Locations, and Appearances. - Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen:
A Survey on Conversational Recommender Systems. - Ignatius Ezeani, Paul Rayson, Ikechukwu E. Onyenwe, Chinedu Uchechukwu, Mark Hepple:
Igbo-English Machine Translation: An Evaluation Benchmark. - Barak Steindl, Meirav Zehavi:
Parameterized Analysis of Assignment Under Multiple Preferences. - Lukas Pfannschmidt, Barbara Hammer:
Sequential Feature Classification in the Context of Redundancies. - Yantong Wang, Vasilis Friderikos:
Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques. - Alex Devonport, He Yin, Murat Arcak:
Bayesian Safe Learning and Control with Sum-of-Squares Analysis and Polynomial Kernels. - Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. - Rohit Keshari, Richa Singh, Mayank Vatsa:
Generalized Zero-Shot Learning Via Over-Complete Distribution. - Ian Covert, Scott M. Lundberg, Su-In Lee:
Understanding Global Feature Contributions Through Additive Importance Measures. - Shuang Gao, Peter E. Caines:
Subspace Decomposition for Graphon LQR: Applications to VLSNs of Harmonic Oscillators. - Shuang Gao, Peter E. Caines, Minyi Huang:
LQG Graphon Mean Field Games. - Pedro Piacenza, Keith Behrman, Benedikt D. Schifferer, Ioannis Kymissis, Matei T. Ciocarlie:
A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals. - Thomas Hellström, Virginia Dignum, Suna Bensch:
Bias in Machine Learning What is it Good (and Bad) for? - David A. Robb, Muneeb Imtiaz Ahmad, Carlo Tiseo, Simona Aracri, Alistair C. McConnell, Vincent Pagé, Christian Dondrup, Francisco Javier Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet, Paola Ardón Ramirez, Tushar Semwal, Hazel M. Taylor, Lindsay J. Wilson, David Lane, Helen F. Hastie, Katrin S. Lohan:
Robots in the Danger Zone: Exploring Public Perception through Engagement. - Ahmed Al-Taweel, Xiaoshen Wang:
The lowest-order stabilizer free Weak Galerkin Finite Element Method. - Erik Quintanilla, Yogesh S. Rawat, Andrey Sakryukin, Mubarak Shah, Mohan S. Kankanhalli:
Adversarial Learning for Personalized Tag Recommendation. - Maryam Arab, Thomas D. LaToza, Amy J. Ko:
An Exploratory Study of Writing and Revising Explicit Programming Strategies. - Arman Kazemi, Ramin Rajaei, Kai Ni, Suman Datta, Michael T. Niemier, Xiaobo Sharon Hu:
A Hybrid FeMFET-CMOS Analog Synapse Circuit for Neural Network Training and Inference. - Luming Tang, Davis Wertheimer, Bharath Hariharan:
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. - Chi-Chun Zhou, Yi Liu:
The Pade Approximant Based Network for Variational Problems. - Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. - Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang:
Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. - Abhinandan Nath, Erin Taylor:
k-Median clustering under discrete Fréchet and Hausdorff distances. - Seong Hun Lee, Javier Civera:
Robust Single Rotation Averaging. - Huai Yu, Weikun Zhen, Wen Yang, Ji Zhang, Sebastian A. Scherer:
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences. - Derek Weber, Mehwish Nasim, Lucia Falzon, Lewis Mitchell:
#ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media. - Frances Zhu, D. Sawyer Elliott, ZhiDi Yang, Haoyuan Zheng:
Learned and Controlled Autonomous Robotic Exploration in an Extreme, Unknown Environment. - Safwa Ameer, Matt Gibson-Lopez, Erik Krohn, Sean Soderman, Qing Wang:
Terrain Visibility Graphs: Persistence is Not Enough. - Benjamin D. Killeen, Jie Ying Wu, Kinjal Shah, Anna Zapaishchykova, Philipp Nikutta, Aniruddha Tamhane, Shreya Chakraborty, Jinchi Wei, Tiger Gao, Mareike Thies, Mathias Unberath:
A County-level Dataset for Informing the United States' Response to COVID-19. - Aaron Kandel, Scott J. Moura:
Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach. - Bicheng Xu, Leonid Sigal:
Consistent Multiple Sequence Decoding. - Xingqin Lin, Dongsheng Yu, Henning Wiemann:
A Primer on Bandwidth Parts in 5G New Radio. - Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed, Danielle Albers Szafir:
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems. - Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich:
Software Language Comprehension using a Program-Derived Semantic Graph. - Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan:
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus. - Sreejith Sreekumar, Deniz Gündüz:
Strong Converse for Testing Against Independence over a Noisy channel. - Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. - Shahab Afshar, Pablo Macedo, Farog Mohamed, Vahid Disfani:
A Literature Review on Mobile Charging Station Technology for Electric Vehicles. - Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine:
Learning Agile Robotic Locomotion Skills by Imitating Animals. - David Alejandro Jimenez Sierra, Hernán Darío Benítez-Restrepo, Hernán Darío Vargas Cardona, Jocelyn Chanussot:
Graph-based fusion for change detection in multi-spectral images. - Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. - Umar Asif, Stefan von Cavallar, Jianbin Tang, Stefan Harrer:
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience. - Jonathan Dunn:
Mapping Languages: The Corpus of Global Language Use. - Lingjun Pu, Xu Chen, Ruilin Yun, Xinjing Yuan, Pan Zhou, Jingdong Xu:
Cocktail: Cost-efficient and Data Skew-aware Online In-Network Distributed Machine Learning for Intelligent 5G and Beyond. - Riku Arakawa, Shintaro Shiba:
Exploration of Reinforcement Learning for Event Camera using Car-like Robots. - Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Vineet Agrawal, Ben Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella:
Device-aware inference operations in SONOS nonvolatile memory arrays. - Guanyu Feng, Zixuan Ma, Daixuan Li, Xiaowei Zhu, Yanzheng Cai, Wentao Han, Wenguang Chen:
RisGraph: A Real-Time Streaming System for Evolving Graphs. - Jonathan Dunn, Benjamin Adams:
Mapping Languages and Demographics with Georeferenced Corpora. - Nastaran Abadi Khooshemehr, Mohammad Ali Maddah-Ali:
Fundamental Limits of Distributed Encoding. - Andrey Gorbunov, Petr Vorobev, Jimmy Chih-Hsien Peng:
Identification of Critical Clusters in Inverter-based Microgrids. - Jinho Choi:
Repetition-based NOMA Transmission and Its Outage Probability Analysis. - Tai Vu:
Combating The Machine Ethics Crisis: An Educational Approach. - Carlos Arturo Martínez-Fuentes, Ulises Pérez-Ventura, Leonid M. Fridman:
Chattering analysis of Lipschitz continuous sliding-mode controllers. - L. Childers, K. Gopalakrishnan:
Gopala-Hemachandra codes revisited. - Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia:
Approximate Selection with Guarantees using Proxies. - Robert E. Mahony, Jochen Trumpf:
Equivariant Filter Design for Kinematic Systems on Lie Groups. - Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng:
Tracking by Instance Detection: A Meta-Learning Approach. - Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov:
Improving 3D Object Detection through Progressive Population Based Augmentation. - Muhammad Aftab, Sid Chi-Kin Chau, Prashant J. Shenoy:
Efficient Online Classification and Tracking on Resource-constrained IoT Devices. - Yuto Kihira, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference. - Marija Vella, João F. C. Mota:
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization. - Syed Ghazanfar, Faisal Bashir Hussain, Atiq ur Rehman, Ubaid U. Fayyaz, Farrukh Shahzad, Ghalib A. Shah:
IoT-Flock: An Open-source Framework for IoT Traffic Generation. - Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang:
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints. - Zhicheng Huang, Zhaoyang Zeng, Bei Liu, Dongmei Fu, Jianlong Fu:
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers. - Meichen Guo, Claudio De Persis, Pietro Tesi:
Learning control for polynomial systems using sum of squares. - Manuel Schneckenreither:
Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications. - Wenjing Li, Wei Bian:
Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty. - Xinyao Li, Changyun Wen, Xiao-Kang Liu:
Sampled-Data Control Based Consensus of Fractional-Order Multi-Agent Systems. - Dominik Riedelbauch, Johannes Hartwig, Dominik Henrich:
Enabling End-Users to Deploy Flexible Human-Robot Teams to Factories of the Future. - Timotej Gaspar, Miha Denisa, Ales Ude:
A reconfigurable robot workcell for quick set-up of assembly processes. - Or Ordentlich, Ido Tal:
An Upgrading Algorithm with Optimal Power Law. - Qinheping Hu, John Cyphert, Loris D'Antoni, Thomas W. Reps:
Exact and Approximate Methods for Proving Unrealizability of Syntax-Guided Synthesis Problems. - Werner Friedl, Máximo A. Roa:
CLASH WRIST - A hardware to increase the capability of CLASH fruit gripper to use environment constraints exploration. - Jey Han Lau, Carlos Santos Armendariz, Shalom Lappin, Matthew Purver, Chang Shu:
How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context. - Jianxiong Guo, Weili Wu:
A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity. - Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart:
Go Fetch: Mobile Manipulation in Unstructured Environments. - Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang:
Learning to Segment the Tail. - Ankit Dhall:
Learning Representations For Images With Hierarchical Labels. - Sebastien Gros, Mario Zanon, Alberto Bemporad:
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality? - Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. - Javier Pastor-Galindo, Mattia Zago, Pantaleone Nespoli, Sergio López Bernal, Alberto Huertas Celdrán, Manuel Gil Pérez, José A. Ruipérez-Valiente, Gregorio Martínez Pérez, Félix Gómez Mármol:
Spotting political social bots in Twitter: A use case of the 2019 Spanish general election. - Laura Schelenz, Avi Segal, Kobi Gal:
Best Practices for Transparency in Machine Generated Personalization. - Christian Dresen, Fabian Ising, Damian Poddebniak, Tobias Kappert, Thorsten Holz, Sebastian Schinzel:
CORSICA: Cross-Origin Web Service Identification. - Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Haoshu Fang, Ze Ma, Mingyang Chen, Cewu Lu:
PaStaNet: Toward Human Activity Knowledge Engine. - Rafael Papallas, Mehmet Remzi Dogar:
Human-Guided Planner for Non-Prehensile Manipulation. - Juvet Karnel Sadié, Leonel Moyou Metcheka, René Ndoundam:
A high capacity text steganography scheme based on permutation and color coding. - Luc Libralesso, Florian Fontan:
An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem. - Vladimir Yussupov, Jacopo Soldani, Uwe Breitenbücher, Antonio Brogi, Frank Leymann:
FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms. - Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel:
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. - Anssi Kanervisto, Christian Scheller, Ville Hautamäki:
Action Space Shaping in Deep Reinforcement Learning. - Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki:
Benchmarking End-to-End Behavioural Cloning on Video Games. - Xiao-Lei Zhang, Anish Agarwal:
Augmented Q Imitation Learning (AQIL). - Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz:
Learning to Ask Medical Questions using Reinforcement Learning. - Vivek Gupta:
DeepSumm - Deep Code Summaries using Neural Transformer Architecture. - Fangzhou Xie:
Pruned Wasserstein Index Generation Model and wigpy Package. - Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe:
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes. - Nuria Oliver, Xavier Barber, Kirsten Roomp, Kristof Roomp:
The Covid19Impact Survey: Assessing the Pulse of the COVID-19 Pandemic in Spain via 24 questions. - Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition. - Adarsh Barik, Jean Honorio:
Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities. - Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King:
Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios. - Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin:
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN. - Suriya Gunasekar, Blake E. Woodworth, Nathan Srebro:
Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow. - Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise:
Objects of violence: synthetic data for practical ML in human rights investigations. - Samuel Thiriot, Jean-Daniel Kant:
Generate Country-Scale Networks of Interaction from Scattered Statistics. - Francisco Claude, Gonzalo Navarro, Alejandro Pacheco:
Grammar-Compressed Indexes with Logarithmic Search Time. - Mohamed Naveed Gul Mohamed, Suman Chakravorty:
Near Optimality and Tractability in Stochastic Nonlinear Control. - Dongfang Zhao:
Topological Properties of Multi-Party Blockchain Transactions. - Luciano Cavalcante Siebert, Rijk Mercuur, Virginia Dignum, Jeroen van den Hoven, Catholijn M. Jonker:
Improving Confidence in the Estimation of Values and Norms. - Aybora Koksal, Kutalmis Gokalp Ince, A. Aydin Alatan:
Effect of Annotation Errors on Drone Detection with YOLOv3. - Stephanie Balzer, Luca Padovani:
Proceedings of the 12th International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software, PLACES@ETAPS 2020, Dublin, Ireland, 26th April 2020. EPTCS 314, 2020 [contents] - Fabio Pizzati, Pietro Cerri, Raoul de Charette:
Model-based disentanglement of lens occlusions. - Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek:
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). - Xutan Peng, Chenghua Lin, Mark Stevenson, Chen Li:
Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. - Shenyue Jia, Seung Hee Kim, Son V. Nghiem, Paul Doherty, Menas C. Kafatos:
Patterns of population displacement during mega-fires in California detected using Facebook Disaster Maps. - Alaa Khreis, Francesca Bassi, Philippe Ciblat, Pierre Duhamel:
Analysis of Multi-Messages Retransmission Schemes. - Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi:
Learning Longterm Representations for Person Re-Identification Using Radio Signals. - Salvador Lima, Naiara Pérez, Montse Cuadros, German Rigau:
NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts. - Han Fu, Rui Wu, Chenghao Liu, Jianling Sun:
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. - Ivana Kajic, Eser Aygün, Doina Precup:
Learning to cooperate: Emergent communication in multi-agent navigation. - Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar:
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. - Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo, Muideen A. Ajagbe, Erol-Valeriu Chioasca, Riza Theresa Batista-Navarro:
Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study. - (Withdrawn) Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios.
- Chao Xu, Jinyang Li, Tarek F. Abdelzaher, Heng Ji, Boleslaw K. Szymanski, John Dellaverson:
The Paradox of Information Access: On Modeling Social-Media-Induced Polarization. - Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença:
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition. - Eu Wern Teh, Terrance DeVries, Graham W. Taylor:
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. - Nicola Prezza:
On Locating Paths in Compressed Cardinal Trees. - Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, Xiaodi Wu:
On the Principles of Differentiable Quantum Programming Languages. - Anastasia A. Funkner, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling. - Jongik Kim:
Nass: A New Approach to Graph Similarity Search. - Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation. - Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. - Larisa Beilina:
Numerical analysis of least squares and perceptron learning for classification problems. - Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Predictive Bandits. - Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan:
Safe Feedback Motion Planning: A Contraction Theory and L1-Adaptive Control Based Approach. - Yingqi Gu, Akshay Zalkikar, Lara Kelly, Kieran Daly, Tomas E. Ward:
Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning. - Anders Aamand, Debarati Das, Evangelos Kipouridis, Jakob Bæk Tejs Knudsen, Peter M. R. Rasmussen, Mikkel Thorup:
No Repetition: Fast Streaming with Highly Concentrated Hashing. - Zackory Erickson, Eliot Xing, Bharat Srirangam, Sonia Chernova, Charles C. Kemp:
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging. - Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp:
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data. - Iago París, Raquel Sánchez-Cauce, Francisco Javier Díez:
Sum-product networks: A survey. - Tara Safavi, Danai Koutra, Edgar Meij:
Improving the Utility of Knowledge Graph Embeddings with Calibration. - Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi:
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes. - Noah Weber, Rachel Rudinger, Benjamin Van Durme:
Causal Inference of Script Knowledge. - Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. - Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Tracking Objects as Points. - Yunxuan Wei, Shuhang Gu, Yawei Li, Longcun Jin:
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training. - Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions. - Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Albert Reuther, Ryan A. Robinett, Sid Samsi:
GraphChallenge.org Sparse Deep Neural Network Performance. - Eva Graversen, Iain C. C. Phillips, Nobuko Yoshida:
Event structures for the reversible early internal Pi-calculus. - Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic:
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. - Max von Hippel, Cole Vick, Stavros Tripakis, Cristina Nita-Rotaru:
Automated Attacker Synthesis for Distributed Protocols. - Ramtin Keramati, Emma Brunskill:
Value Driven Representation for Human-in-the-Loop Reinforcement Learning. - Ahmet Alp Kindiroglu, Ogulcan Özdemir, Lale Akarun:
Temporal Accumulative Features for Sign Language Recognition. - Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas:
Deformation-Aware 3D Model Embedding and Retrieval. - Shi Li:
Towards PTAS for Precedence Constrained Scheduling via Combinatorial Algorithms. - Kevin Buchin, Mart Hagedoorn, Irina Kostitsyna, Max van Mulken, Jolan Rensen, Leo van Schooten:
Dots & Polygons. - Md Jahidul Islam, Chelsey Edge, Yuyang Xiao, Peigen Luo, Muntaqim Mehtaz, Christopher Morse, Sadman Sakib Enan, Junaed Sattar:
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. - Thorsten Wißmann, Hans-Peter Deifel, Stefan Milius, Lutz Schröder:
From Generic Partition Refinement to Weighted Tree Automata Minimization. - Ran Wang, Kun Tao, Dingjie Song, Zhilong Zhang, Xiao Ma, Xi'ao Su, Xinyu Dai:
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes. - Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen:
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. - Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu:
Guided Variational Autoencoder for Disentanglement Learning. - Faizal Khan, Omar Reyad:
Application of Intelligent Multi Agent Based Systems For E-Healthcare Security. - Ahmed M. El-Mahalawy, Kareem H. El-Safty:
Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode. - Huawei Fan, Jun-Jie Jiang, Chun Zhang, Xingang Wang, Ying-Cheng Lai:
Long-term prediction of chaotic systems with recurrent neural networks. - Julio Aracena, Luis Cabrera-Crot, Lilian Salinas:
Finding the fixed points of a Boolean network from a positive feedback vertex set. - Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu:
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. - Chunpeng Wang, John P. Whitney:
Series Elastic Force Control for Soft Robotic Fluid Actuators. - Benjamin Doerr:
Does Comma Selection Help To Cope With Local Optima. - Leighton Pate Barnes, Ayfer Özgür:
The Courtade-Kumar Most Informative Boolean Function Conjecture and a Symmetrized Li-Médard Conjecture are Equivalent. - Juan-Manuel Pérez-Rúa, Brais Martínez, Xiatian Zhu, Antoine Toisoul, Victor Escorcia, Tao Xiang:
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention. - Ogulcan Özdemir, Ahmet Alp Kindiroglu, Necati Cihan Camgöz, Lale Akarun:
BosphorusSign22k Sign Language Recognition Dataset. - Yali Yuan, Robert Tasik, Sripriya Srikant Adhatarao, Yachao Yuan, Zheli Liu, Xiaoming Fu:
RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE. - Dominik Notz, Felix Becker, Thomas Kühbeck, Daniel Watzenig:
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors. - Daniel Ramage, Christopher D. Manning, Daniel A. McFarland:
Mapping Three Decades of Intellectual Change in Academia. - William George Underwood, Andrew Elliott, Mihai Cucuringu:
Motif-Based Spectral Clustering of Weighted Directed Networks. - Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz:
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera. - Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli:
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. - Sabur Baidya, Peyman Tehrani, Marco Levorato:
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge. - Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. - Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram:
Event-Triggered Distributed Inference. - Shreyas Sundaram, Aritra Mitra:
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication. - Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya:
Preserving Statistical Privacy in Distributed Optimization. - Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu:
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet. - Bianca Minetto Napoleão, Fábio Petrillo, Sylvain Hallé:
A Tertiary and Secondary Study Canvas. - Ziad Al-Halah, Kristen Grauman:
From Paris to Berlin: Discovering Fashion Style Influences Around the World. - Ricardo Batista das Neves Junior, Luiz Felipe Verçosa, David L. Macêdo, Byron Leite Dantas Bezerra, Cleber Zanchettin:
A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation. - Bas van den Heuvel, Jorge A. Pérez:
Session Type Systems based on Linear Logic: Classical versus Intuitionistic. 1-11 - Anson Miu, Francisco Ferreira, Nobuko Yoshida, Fangyi Zhou:
Generating Interactive WebSocket Applications in TypeScript. 12-22 - Simon J. Gay, Peter Thiemann, Vasco T. Vasconcelos:
Duality of Session Types: The Final Cut. 23-33 - Nicolas Dilley, Julien Lange:
Bounded verification of message-passing concurrency in Go using Promela and Spin. 34-45 - Filipe Casal, Andreia Mordido, Vasco T. Vasconcelos:
Mixed Sessions: the Other Side of the Tape. 46-60 - Shunsuke Kimura, Keigo Imai:
Fluent Session Programming in C#. 61-75 - Viv Kendon:
How to Compute Using Quantum Walks. 1-17 - Tianshu Chu, Sandeep Chinchali, Sachin Katti:
Multi-agent Reinforcement Learning for Networked System Control. - Behrooz Khadem, Salar Mohebalizadeh:
Efficient UAV Physical Layer Security based on Deep Learning and Artificial Noise. - Bo Peng, Wei Wang, Jing Dong, Tieniu Tan:
Learning Pose-invariant 3D Object Reconstruction from Single-view Images. - Vijay V. Vazirani, Mihalis Yannakakis:
Computational Complexity of the Hylland-Zeckhauser Scheme for One-Sided Matching Markets. - Younkwan Lee, Jihyo Jeon, Jongmin Yu, Moongu Jeon:
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles. - Ash Luft, Mihai Sima, Michael McGuire:
Hardware Trojan with Frequency Modulation. - Mahmoud Afifi, Michael S. Brown:
Deep White-Balance Editing. - Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh:
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. - Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu:
Unpack Local Model Interpretation for GBDT. - Jeremiah Griffin, Mohsen Lesani, Narges Shadab, Xizhe Yin:
Temporal Logic of Composable Distributed Components. - Hyuckjin Choi, Junil Choi:
Downlink Extrapolation for FDD Multiple Antenna Systems Through Neural Network Using Extracted Uplink Path Gains. - Rong Yan, Guangchao Geng, Quanyuan Jiang:
Data-Driven Transient Stability Boundary Generation for Online Security Monitoring. - Alexander Carballo, Abraham Monrroy, David Robert Wong, Patiphon Narksri, Jacob Lambert, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda:
Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform. - Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding:
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. - Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales:
Sequential Learning for Domain Generalization. - Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Kamal Nasrollahi, Thomas B. Moeslund:
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking. - Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala:
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. - Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang:
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention. - Fausto Giunchiglia, Mattia Zeni, Elisa Gobbi, Enrico Bignotti, Ivano Bison:
Mobile social media usage and academic performance. - Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Neural Architecture Generator Optimization. - Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. - Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. - Quan Thoi Minh Nguyen:
A "Final" Security Bug. - Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu:
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets. - Zeynep G. Saribatur, Thomas Eiter:
Omission-based Abstraction for Answer Set Programs. - Pawel Drozdowski, Bernhard Prommegger, Georg Wimmer, Rudolf Schraml, Christian Rathgeb, Andreas Uhl, Christoph Busch:
Demographic Bias: A Challenge for Fingervein Recognition Systems? - Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson:
Power Allocation in HARQ-based Predictor Antenna Systems. - Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz, Rafael C. Carrasco:
Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation. - Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson:
On Delay-limited Average Rate of HARQ-based Predictor Antenna Systems. - Zunlei Feng, Xinchao Wang, Yongming He, Yike Yuan, Xin Gao, Mingli Song:
Disassembling Object Representations without Labels. - Sebastien Gros, Mario Zanon:
Reinforcement Learning for Mixed-Integer Problems Based on MPC. - Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. - Matania Ben-Artzi, Benjamin Kramer:
Finite difference approach to fourth-order linear boundary-value problems. - Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik:
From Local SGD to Local Fixed Point Methods for Federated Learning. - Nam Yul Yu:
Binary Golay Spreading Sequences and Reed-Muller Codes for Uplink Grant-Free NOMA. - Daniel Torres-Salinas, Wenceslao Arroyo-Machado, Nicolás Robinson-García:
An alternative analysis on the scientific output of Spanish Sociology What can altmetrics tell us? - Gerard Llorach, Maartje M. E. Hendrikse, Giso Grimm, Volker Hohmann:
Comparison of a Head-Mounted Display and a Curved Screen in a Multi-Talker Audiovisual Listening Task. - Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. - Daan Crommelin, Wouter Edeling:
Resampling with neural networks for stochastic parameterization in multiscale systems. - Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples. - Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang:
Gradient Centralization: A New Optimization Technique for Deep Neural Networks. - Jonas Klappert, Sven Yannick Klein, Fabian Lange:
Interpolation of Dense and Sparse Rational Functions and other Improvements in FireFly. - Ahmad El Shoghri, Jessica Liebig, Lauren Gardner, Raja Jurdak, Salil S. Kanhere:
How mobility patterns drive disease spread: A case study using public transit passenger card travel data. - Rayyan Ahmad Khan, Martin Kleinsteuber:
Epitomic Variational Graph Autoencoder. - J. Mahalakshmi, P. Venkata Krishna:
Localized Mobile Agent Framework for data processing on Internet of Things. - Miroslav Bures, Miroslav Macik, Bestoun S. Ahmed, Vaclav Rechtberger, Pavel Slavík:
Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-based Approach. - Zheng Jiang, Menghan Hu, Guangtao Zhai:
Portable Health Screening Device of Respiratory Infections. - Krzysztof Lakomy, Rafal Madonski:
Cascade Extended State Observer for ADRC Applications under Measurement Noise. - Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut:
Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching. - Arun U:
The "cardinality of extended solution set" criterion for establishing the intractability of NP problems. - Takaaki Nishimoto, Yasuo Tabei:
Enumeration of LCP values, LCP intervals and Maximal repeats in BWT-runs Bounded Space. - Suman Saha, Gurkirt Singh, Fabio Cuzzolin:
Two-Stream AMTnet for Action Detection. - Zvezdin Besarabov, Todor Kolev:
Trustless parallel local search for effective distributed algorithm discovery. - Yuning Jiang, Philipp Sauerteig, Boris Houska, Karl Worthmann:
Distributed Optimization using ALADIN for MPC in Smart Grids. - Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry:
RANSAC-Flow: generic two-stage image alignment. - Peter Hillmann, Lars Stiemert, Gabi Dreo, Oliver Rose:
On the Path to High Precise IP Geolocation: A Self-Optimizing Model. - Jan-Niklas Voigt-Antons, Eero Lehtonen, Andres Pinilla Palacios, Danish Ali, Tanja Kojic, Sebastian Möller:
Comparing emotional states induced by 360° videos via head-mounted display and computer screen. - Ylva Jansson, Tony Lindeberg:
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges. - Samuel Lanthaler:
On concentration in vortex sheets. - Tanja Kojic, Danish Ali, Robert Greinacher, Sebastian Möller, Jan-Niklas Voigt-Antons:
User Experience of Reading in Virtual Reality - Finding Values for Text Distance, Size and Contrast. - Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. - Manikandan Ravikiran:
Finding Black Cat in a Coal Cellar - Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments. - Kalyan S. Dash, Niladri B. Puhan, Ganapati Panda:
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition. - Robert Greinacher, Tanja Kojic, Luis Meier, Rudresha Gulaganjihalli Parameshappa, Sebastian Möller, Jan-Niklas Voigt-Antons:
Impact of Tactile and Visual Feedback on Breathing Rhythm and User Experience in VR Exergaming. - Mario Ciprian Birlea:
Phishing Attacks: Detection And Prevention. - Farhana Binte Kamrul Easha, Robert Abbas, Matthew Daley:
Campus Wi-Fi Coverage Mapping and Analysis. - Andrea Clementi, Francesco D'Amore, George Giakkoupis, Emanuele Natale:
On the Search Efficiency of Parallel Lévy Walks on Z2. - Mehrdad Noori, Sina Mohammadi, Sina Ghofrani Majelan, Ali Bahri, Mohammad Havaei:
DFNet: Discriminative feature extraction and integration network for salient object detection. - Wen-Hao Chiang, George O. Mohler:
Hawkes Process Multi-armed Bandits for Disaster Search and Rescue. - Ahmad El Shoghri, Jessica Liebig, Raja Jurdak, Lauren Gardner, Salil S. Kanhere:
Identifying highly influential travellers for spreading disease on a public transport system. - Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker:
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map. - Matheus V. X. Ferreira, S. Matthew Weinberg:
Credible, Truthful, and Bounded-Round Mechanisms via Cryptographic Commitments. - Mohammad Ali Abam, Mohammad Javad Rezaei Seraji:
Geodesic Spanners for Points in R3 amid Axis-parallel Boxes. - Jun Hu, Zhongyu Jiang, Xionghao Ding, Peter Hall, Taijiang Mu:
VGPN: Voice-Guided Pointing Robot Navigation for Humans. - Kieran Woodward, Eiman Kanjo, David J. Brown, T. M. McGinnity:
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network. - Stefan Wildhagen, Frank Allgöwer:
Rollout scheduling and control for disturbed systems via tube MPC. - Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay:
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. - Andrea Valassi, Manfred Alef, Jean-Michel Barbet, Olga Datskova, Riccardo De Maria, Miguel Fontes Medeiros, Domenico Giordano, Costin Grigoras, Christopher Hollowell, Martina Javurkova, Viktor Khristenko, David Lange, Michele Michelotto, Lorenzo Rinaldi, Andrea Sciabà, Cas Van Der Laan:
Using HEP experiment workflows for the benchmarking and accounting of WLCG computing resources. - David Major, Dimitrios Lenis, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Bühler:
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis. - Iryna Kulchytska-Ruchka, Sebastian Schöps:
Towards a Parallel-in-Time Calculation of Time-Periodic Solutions with Unknown Period. - Gencer Sumbul, Jian Kang, Begüm Demir:
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives. - Timofey Bryksin, Victor Petukhov, Ilya Alexin, Stanislav Prikhodko, Alexey Shpilman, Vladimir Kovalenko, Nikita Povarov:
Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler. - Sven Brüggemann, Robert R. Bitmead:
Model Predictive Control with Forward-Looking Persistent Excitation. - Jonas P. Berberich, Christian Klingenberg:
Entropy Stable Numerical Fluxes for Compressible Euler Equations which are Suitable for All Mach Numbers. - Adrian-Catalin Florea, Razvan Andonie:
Weighted Random Search for Hyperparameter Optimization. - Kaan Kara, Christoph Hagleitner, Dionysios Diamantopoulos, Dimitris Syrivelis, Gustavo Alonso:
High Bandwidth Memory on FPGAs: A Data Analytics Perspective. - Joshua Mack, Nirmal Kumbhare, Anish Krishnakumar, Ümit Y. Ogras, Ali Akoglu:
User-Space Emulation Framework for Domain-Specific SoC Design. - Soramichi Akiyama:
Assessing Impact of Data Partitioning for Approximate Memory in C/C++ Code. - Shiming Li, Shasha Guo, Limeng Zhang, Ziyang Kang, Shiying Wang, Wei Shi, Lei Wang, Weixia Xu:
SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform. - Fatima Ezzahra Mdarbi, Nadia Afifi, Imane Hilal, Hicham Belhadaoui:
An Approach for Selecting Cloud Service Adequate to Big Data Case Study: E-health Context. - Grégory Berhuy, Frédérique E. Oggier:
A Quadratic Form Approach to Construction A of Lattices over Cyclic Algebras. - Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Quantifying Data Augmentation for LiDAR based 3D Object Detection. - Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. - Yevgen Matusevych, Herman Kamper, Sharon Goldwater:
Analyzing autoencoder-based acoustic word embeddings. - Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek:
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images. - Sergey Svitkov, Timofey Bryksin:
Visualization of Methods Changeability Based on VCS Data. - Antoine Ledent, Rodrigo Alves, Marius Kloft:
Orthogonal Inductive Matrix Completion. - Chong Shangguan, Itzhak Tamo:
Error Detection and Correction in Communication Networks. - Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy:
Aligned Cross Entropy for Non-Autoregressive Machine Translation. - Christoph Ostrau, Jonas Dominik Homburg, Christian Klarhorst, Michael Thies, Ulrich Rückert:
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. - Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. - Marie-Julie Rakotosaona, Maks Ovsjanikov:
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. - Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. - Bertie Vidgen, Leon Derczynski:
Directions in Abusive Language Training Data: Garbage In, Garbage Out. - Hugo Germain, Guillaume Bourmaud, Vincent Lepetit:
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching. - Alexander Hvatov, Mikhail Maslyaev:
The data-driven physical-based equations discovery using evolutionary approach. - Amaro Duarte, Esmitt Ramírez:
Interpreted Programming Language Extension for 3D Render on the Web. - Andrei Z. Broder, Ravi Kumar:
A Note on Double Pooling Tests. - Mohammad Saeed Sarafraz, Mohammad Saleh Tavazoei:
Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation. - Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee:
Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Detection. - Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. - Alberto Alvarez, José M. Font, Julian Togelius:
Towards Designer Modeling through Design Style Clustering. - Jacob Schrum, Vanessa Volz, Sebastian Risi:
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation. - Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu:
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. - Chahinez Ounoughi:
Quantification of the propagation of rumors on social media. - Carl Folkestad, Daniel Pastor, Joel W. Burdick:
Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing. - Bassel Mannaa, Rasmus Ejlers Møgelberg, Niccolò Veltri:
Ticking clocks as dependent right adjoints: Denotational semantics for clocked type theory. - Manaar Alam, Sayan Sinha, Sarani Bhattacharya, Swastika Dutta, Debdeep Mukhopadhyay, Anupam Chattopadhyay:
RAPPER: Ransomware Prevention via Performance Counters. - Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. - Kevin Hua, Yuhong Guo:
Unsupervised Domain Adaptation with Progressive Domain Augmentation. - Vedang M. Deshpande, Raktim Bhattacharya:
Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions. - Daron Anderson, Douglas J. Leith:
Universal Algorithms: Beyond the Simplex. - Arpita Biswas, Shruthi Bannur, Prateek Jain, Srujana Merugu:
COVID-19: Strategies for Allocation of Test Kits. - Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. - Tobias Dam, Lukas Daniel Klausner, Sebastian Schrittwieser:
Typosquatting for Fun and Profit: Cross-Country Analysis of Pop-Up Scam. - Ugo Rosolia, Aaron D. Ames:
Multi-Rate Control Design Leveraging Control Barrier Functions and Model Predictive Control Policies. - Kathleen Kerwin, Nathaniel D. Bastian:
Stacked Generalizations in Imbalanced Fraud Data Sets using Resampling Methods. - Michael Cook:
Generative Forensics: Procedural Generation and Information Games. - Michael Cook:
Software Engineering For Automated Game Design. - Ahmet Zahid Yalçin, Yavuz Yapici:
Max-Min Fair Beamforming for Cooperative Multigroup Multicasting with Rate-Splitting. - Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa:
Efficient Conformance Checking using Alignment Computation with Tandem Repeats. - Manisha Chowdhury, B. V. Rathish Kumar:
Apriori and aposteriori error estimation of Subgrid multiscale stabilized finite element method for coupled unified Stokes-Brinkman/Transport model. - Ehsan Asadi Kangarshahi, Albert Guillén i Fàbregas:
A Single-Letter Upper Bound to the Mismatch Capacity. - S. Nageeb Ali, Ayal Chen-Zion, Erik Lillethun:
Reselling Information. - Yan Chen, Andrés Monroy-Hernández, Ian Wehrman, Steve Oney, Walter S. Lasecki, Rajan Vaish:
Sifter: A Hybrid Workflow for Theme-based Video Curation at Scale. - Jingyuan Yu:
Open access institutional and news media tweet dataset for COVID-19 social science research. - Aayush K. Chaudhary, Jeff B. Pelz:
Privacy-Preserving Eye Videos using Rubber Sheet Model. - Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. - Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. - Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. - Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim:
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. - Yeonjong Shin, Jérôme Darbon, George Em Karniadakis:
On the Convergence and generalization of Physics Informed Neural Networks. - Pietro Frigo, Emanuele Vannacci, Hasan Hassan, Victor van der Veen, Onur Mutlu, Cristiano Giuffrida, Herbert Bos, Kaveh Razavi:
TRRespass: Exploiting the Many Sides of Target Row Refresh. - Noureldien Hussein, Mihir Jain, Babak Ehteshami Bejnordi:
TimeGate: Conditional Gating of Segments in Long-range Activities. - Jean-Luc Baril, Carine Khalil, Vincent Vajnovszki:
Catalan and Schröder permutations sortable by two restricted stacks. - Aidan Hogan, Juan L. Reutter, Adrián Soto:
Recursive SPARQL for Graph Analytics. - Xuelu Li, Vishal Monga:
Group Based Deep Shared Feature Learning for Fine-grained Image Classification. - Caleb Ziems, Ymir Vigfusson, Fred Morstatter:
Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification. - John Jackson, Luca Laurenti, Eric W. Frew, Morteza Lahijanian:
Safety Verification of Unknown Dynamical Systems via Gaussian Process Regression. - Casey Chu, Kentaro Minami, Kenji Fukumizu:
The equivalence between Stein variational gradient descent and black-box variational inference. - Andrés Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox:
Multi-Variate Temporal GAN for Large Scale Video Generation. - Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang, Thang Xuan Vu, Eryk Dutkiewicz, Symeon Chatzinotas:
Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks. - Avery Ma, Fartash Faghri, Amir-massoud Farahmand:
Adversarial Robustness through Regularization: A Second-Order Approach. - Martin Weise:
On the Efficient Design of LSM Stores. - Shufen Wang, Wei Xu, Weimin Han, Wenbin Chen:
Numerical Analysis of History-dependent Variational-hemivariational Inequalities. - Cynthia Dwork, Christina Ilvento, Guy N. Rothblum, Pragya Sur:
Abstracting Fairness: Oracles, Metrics, and Interpretability. - Pratik Prajapati, Sagar Parekh, Vineet Vashista:
On the Human Control of a Multiple Quadcopters with a Cable-suspended Payload System. - Yitao Han, Shuowen Zhang, Lingjie Duan, Rui Zhang:
Cooperative Double-IRS Aided Communication: Beamforming Design and Power Scaling. - Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich:
Pixel Consensus Voting for Panoptic Segmentation. - Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. - Dimitri Kamenski, Arash Shaghaghi, Matthew J. Warren, Salil S. Kanhere:
Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies. - Matthew Cavorsi, Mohammad Khajenejad, Ruochen Niu, Qiang Shen, Sze Zheng Yong:
Tractable Compositions of Discrete-Time Control Barrier Functions with Application to Lane Keeping and Obstacle Avoidance. - Giuseppe De Giacomo, Riccardo De Masellis, Fabrizio Maria Maggi, Marco Montali:
Monitoring Constraints and Metaconstraints with Temporal Logics on Finite Traces. - Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li:
Deblurring by Realistic Blurring. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous Input and State Interval Observers for Nonlinear Systems. - Yuxiao Liang, Pengtao Xie:
Identifying Radiological Findings Related to COVID-19 from Medical Literature. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. - Xunzhao Yin, Chao Li, Qingrong Huang, Li Zhang, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Kai Ni:
FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric. - Lei Shi, Wei Xing Zheng, Jin-Liang Shao, Yuhua Cheng:
Sub/super-stochastic matrix with applications to bipartite tracking control over signed networks. - Nithin V. Sabu, Abhishek K. Gupta:
Analysis of Diffusion Based Molecular Communication with Multiple Transmitters having Individual Random Information Bits. - Nadir Murru, Rosaria Rossini:
A Bayesian approach for initialization of weights in backpropagation neural net with application to character recognition. - Zhaocong Liu, Xiang Yin, Shaoyuan Li:
Modeling and Analysis of Networked Discrete Event Systems with Multiple Control Channels. - Xiao Liu, Heyan Huang, Yue Zhang, Changsen Yuan:
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition. - Kazumune Hashimoto, Adnane Saoud, Masako Kishida, Toshimitsu Ushio, Dimos V. Dimarogonas:
Learning-based Safe Symbolic Abstractions for Nonlinear Control Systems. - Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu:
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. - Tua Agustinus Tamba, Bin Hu, Yul Y. Nazaruddin:
On a notion of stochastic zeroing barrier function. - Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu:
A Simple Baseline for Multi-Object Tracking. - Yogachandran Rahulamathavan, Safak Dogan, Rongxing Lu, Muttukrishnan Rajarajan, Ahmet M. Kondoz:
Scalar Product Lattice Computation for Efficient Privacy-preserving Systems. - Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa, Gorka Azkune, Eneko Agirre:
Evaluating Multimodal Representations on Visual Semantic Textual Similarity. - Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang:
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. - Nicolas Boullé, Yuji Nakatsukasa, Alex Townsend:
Rational neural networks. - Zuowen Wang, Leo Horne:
Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks. - Kazuya Haraguchi, Hiroshi Nagamochi:
Design of Polynomial-delay Enumeration Algorithms in Transitive Systems. - Wending Yan, Aashish Sharma, Robby T. Tan:
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning. - Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao:
Knowledge Guided Metric Learning for Few-Shot Text Classification. - Ingo Müller, Renato Marroquín, Dimitrios Koutsoukos, Mike Wawrzoniak, Gustavo Alonso, Sabir Akhadov:
The Collection Virtual Machine: An Abstraction for Multi-Frontend Multi-Backend Data Analysis. - Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. - Aditya Aradhye, János Flesch, Mathias Staudigl, Dries Vermeulen:
Incentive compatibility in sender-receiver stopping games. - Saku Sugawara, Pontus Stenetorp, Akiko Aizawa:
Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. - Maryam Razi, Nikolce Murgovski, Tomas McKelvey, Torsten Wik:
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles. - Yulan Feng, Shikib Mehri, Maxine Eskénazi, Tiancheng Zhao:
"None of the Above": Measure Uncertainty in Dialog Response Retrieval. - Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis. - Thaddeus Dryja, Quanquan C. Liu, Neha Narula:
A Lower Bound for Byzantine Agreement and Consensus for Adaptive Adversaries using VDFs. - Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan:
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. - Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou:
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. - Vinoth Pandian Sermuga Pandian, Sarah Suleri:
BlackBox Toolkit: Intelligent Assistance to UI Design. - Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis. - Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang:
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. - Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi:
BASCPS: How does behavioral decision making impact the security of cyber-physical systems? - Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen:
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning. - Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. - Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano:
Fine grained classification for multi-source land cover mapping. - (Withdrawn) Uplink and Downlink Performance Bounds for Full Duplex Cellular Networks.
- Tarek F. Abdelzaher, Heng Ji, Jinyang Li, Chaoqi Yang, John Dellaverson, Lixia Zhang, Chao Xu, Boleslaw K. Szymanski:
The Paradox of Information Access: Growing Isolation in the Age of Sharing. - Damián Marelli, Tianju Sui, Minyue Fu, Ximing Sun:
Convergence and Accuracy Analysis for A Distributed Static State Estimator based on Gaussian Belief Propagation. - Siddhant Garg, Goutham Ramakrishnan:
BAE: BERT-based Adversarial Examples for Text Classification. - Yufan Zhao, Can Xu, Wei Wu:
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. - Xun Wu, Wei-Long Zheng, Bao-Liang Lu:
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition. - Wentao Tang, Prodromos Daoutidis:
Fast and Stable Nonconvex Constrained Distributed Optimization: The ELLADA Algorithm. - Darius Saif, Chung-Horng Lung, Ashraf Matrawy:
An Early Benchmark of Quality of Experience Between HTTP/2 and HTTP/3 using Lighthouse. - Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits:
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. - Ze Yang, Wei Wu, Huang Hu, Can Xu, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. - Milo Trujillo, Maurício Gruppi, Cody Buntain, Benjamin D. Horne:
What is BitChute? Characterizing the "Free Speech" Alternative to YouTube. - Richard Schöffauer, Gerhard Wunder:
Model-Predictive Control for Discrete-Time Queueing Networks with Varying Topology. - Keith Powell, Aly Sabri, Daniel Brennan, Vuk Marojevic, R. Michael Barts, Ashwin Panicker, Özgür Özdemir, Ismail Güvenç:
Software Radios for Unmanned Aerial Systems. - Andrea Munari, Alexey A. Frolov:
Average Age of Information ofIrregular Repetition Slotted ALOHA. - Chu-Pan Wong, Jens Meinicke, Leo Chen, João Paulo Diniz, Christian Kästner, Eduardo Figueiredo:
Efficiently Finding Higher-Order Mutants. - Ming Tu, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Sequential Network for Reasoning over Sequences. - Tiancheng Zhao, Kyusong Lee:
Talk to Papers: Bringing Neural Question Answering to Academic Search. - Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs:
Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model. - Anil Pacaci, Angela Bonifati, M. Tamer Özsu:
Regular Path Query Evaluation on Streaming Graphs. - Ulrich Langer, Olaf Steinbach, Fredi Tröltzsch, Huidong Yang:
Unstructured space-time finite element methods for optimal control of parabolic equations. - Hanjie Chen, Guangtao Zheng, Yangfeng Ji:
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. - Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang:
End-to-End Abstractive Summarization for Meetings. - Zhe Xu, Yi Deng, Agung Julius:
Temporal Logic Inference for Hybrid System Observation with Spatial and Temporal Uncertainties. - Haofan Zheng, Owen Arden:
Building secure distributed applications the DECENT way. - Junwei Liang, Lu Jiang, Alexander G. Hauptmann:
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras. - Asia J. Biega, Jana Schmidt, Rishiraj Saha Roy:
Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions. - Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon:
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. - Kristian Bredies, Richard Huber:
Convergence analysis of pixel-driven Radon and fanbeam transforms. - Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller:
Measuring Social Biases of Crowd Workers using Counterfactual Queries. - Hammad A. Ayyubi, Md. Mehrab Tanjim, Julian J. McAuley, Garrison W. Cottrell:
Generating Rationales in Visual Question Answering. - Arvind Srinivasan, Aprameya Bharadwaj, Manasa Sathyan, S. Natarajan:
Optimization of Image Embeddings for Few Shot Learning. - John Ellis, Ulrike Stege:
Correction to: A Practical, Provably Linear Time, In-place and Stable Merge Algorithm via the Perfect Shuffle. - Elif Ecem Bas, Mohamed A. Moustafa, David Feil-Seifer, Janelle Blankenburg:
Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation. - Ahmed H. Shahin, Prateek Munjal, Ling Shao, Shadab Khan:
FAIRS - Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points. - Zhe Xu:
Robust Inference and Verification of Temporal Logic Classifier-in-the-loop Systems. - Ali Borji:
ObjectNet Dataset: Reanalysis and Correction. - Ivan Brugere, Tanya Y. Berger-Wolf:
Inferring Network Structure From Data. - Ivan Brugere, Tanya Y. Berger-Wolf:
Privacy Shadow: Measuring Node Predictability and Privacy Over Time. - Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. - Fariba Ariaei, Zahra Askarzadeh, Yongxin Chen, Tryphon T. Georgiou:
Macroscopic network circulation for planar graphs. - Hanyu Li, Yanjun Zhang:
A Novel Greedy Kaczmarz Method For Solving Consistent Linear Systems. - Fotis Iliopoulos:
Girth-reducibility and the algorithmic barrier for coloring. - Zhi Li, Christos G. Bampis, Lucjan Janowski, Ioannis Katsavounidis:
A Simple Model for Subject Behavior in Subjective Experiments. - Qi Song, Qianyi Jiang, Nan Li, Rui Zhang, Xiaolin Wei:
ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition. - Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi:
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation. - Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. - Rajesh K. Mishra, Deepanshu Vasal, Sriram Vishwanath:
Model-free Reinforcement Learning for Non-stationary Mean Field Games. - Arman Sharififar, Neda Aboutorab, Yucheng Liu, Parastoo Sadeghi:
Independent User Partition Multicast Scheme for the Groupcast Index Coding Problem. - Mihir Kale, Scott Roy:
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech. - Wentao Weng, Weina Wang:
Dispatching Parallel Jobs to Achieve Zero Queuing Delay. - Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. - Hilaria Cruz, Gregory Stump, Antonios Anastasopoulos:
A Resource for Studying Chatino Verbal Morphology. - Sabber Ahamed, Manar D. Samad:
Information Mining for COVID-19 Research From a Large Volume of Scientific Literature. - Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen:
Feature Quantization Improves GAN Training. - Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann:
Event Clustering & Event Series Characterization on Expected Frequency. - Zhirun Chen, Xiaozhe Ju, Ziwei Wang, Qing Li:
The prescribed time sliding mode control for attitude tracking of spacecraft. - Minghao Fu, Zhenshan Xie, Wen Li, Lixin Duan:
Deeply Aligned Adaptation for Cross-domain Object Detection. - Neda Tavakoli:
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models. - Jingsong Wang, Chengming Gong:
Flexible Control Strategy of DC Bus for AC-DC Hybrid Microgrid with Electric Vehicle. - Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi:
Learning and Recognizing Archeological Features from LiDAR Data. - Roee Aharoni, Yoav Goldberg:
Unsupervised Domain Clusters in Pretrained Language Models. - Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. - Shahin Nazarian, Paul Bogdan:
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. - Gwenaelle Cunha Sergio, Minho Lee:
Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System. - Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen:
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization. - Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu:
GIANT: Scalable Creation of a Web-scale Ontology. - Yì N. Wáng, Thomas Ågotnes:
Simpler completeness proofs for modal logics with intersection. - Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan:
Anisotropic Convolutional Networks for 3D Semantic Scene Completion. - Zuchao Li, Hai Zhao, Rui Wang, Masao Utiyama, Eiichiro Sumita:
Reference Language based Unsupervised Neural Machine Translation. - Camille Noûs, Kévin Perrot, Sylvain Sené, Lucas Venturini:
#P-completeness of counting update digraphs, cacti, and a series-parallel decomposition method. - Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
DeepMap: Learning Deep Representations for Graph Classification. - Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala:
Deep Homography Estimation for Dynamic Scenes. - Qi Wang, Tao Han, Junyu Gao, Yuan Yuan:
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. - Jiajin Yi, Zhimin Yuan, Jialin Peng:
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images. - Xingyuan Chen, Ping Cai, Peng Jin, Hongjun Wang, Xinyu Dai, Jiajun Chen:
A Discriminator Improves Unconditional Text Generation without Updating the Generator. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. - Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. - Deepak Gupta, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
Reinforced Multi-task Approach for Multi-hop Question Generation. - Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang:
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation. - Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang:
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. - Suman Banerjee:
Designing and Connectivity Checking of Implicit Social Networks from the User-Item Rating Data. - Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe:
Change Rate Estimation and Optimal Freshness in Web Page Crawling. - Dipesh Gyawali, Alok Regmi, Aatish Shakya, Ashish Gautam, Surendra Shrestha:
Comparative Analysis of Multiple Deep CNN Models for Waste Classification. - Jiaqi Liu, Gang Wu, Xiaoxu Zhang, Shu Fang, Shaoqian Li:
Modeling, Analysis, and Optimization of Grant-Free NOMA in Massive MTC via Stochastic Geometry. - Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn:
FairNN- Conjoint Learning of Fair Representations for Fair Decisions. - Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Haotang Deng, Qi Ju:
FastBERT: a Self-distilling BERT with Adaptive Inference Time. - Weiwei Xu, Michael K. Ng, Zheng-Jian Bai:
New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair. - Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Detecting and Understanding Generalization Barriers for Neural Machine Translation. - Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang:
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks. - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Approximate Manifold Defense Against Multiple Adversarial Perturbations. - Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu:
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network. - Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang:
Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation. - Elmehdi Illi, Faissal El Bouanani, Paschalis C. Sofotasios, Sami Muhaidat, Daniel Benevides da Costa, Fouad Ayoub, Ala I. Al-Fuqaha:
Analysis of Asymmetric Dual-Hop Energy Harvesting-Based Wireless Communication Systems in Mixed Fading Environments. - Hamdy Mubarak, Ammar Rashed, Kareem Darwish, Younes Samih, Ahmed Abdelali:
Arabic Offensive Language on Twitter: Analysis and Experiments. - Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang:
Iterative Context-Aware Graph Inference for Visual Dialog. - Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Clustering based Contrastive Learning for Improving Face Representations. - Shanbo Cheng, Shaohui Kuang, Rongxiang Weng, Heng Yu, Changfeng Zhu, Weihua Luo:
AR: Auto-Repair the Synthetic Data for Neural Machine Translation. - Conghui Zhu, Guanlin Li, Lemao Liu, Tiejun Zhao, Shuming Shi:
Understanding Learning Dynamics for Neural Machine Translation. - Seong Tae Kim, Farrukh Mushtaq, Nassir Navab:
Confident Coreset for Active Learning in Medical Image Analysis. - Yixuan Su, Deng Cai, Yan Wang, Simon Baker, Anna Korhonen, Nigel Collier, Xiaojiang Liu:
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy. - Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen:
Deep Multimodal Feature Encoding for Video Ordering.