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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. - Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. - Yixuan Su, Yan Wang, Simon Baker, Deng Cai, Xiaojiang Liu, Anna Korhonen, Nigel Collier:
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory. - Jing Jin, Junhui Hou, Jie Chen, Sam Kwong:
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization. - Mayank Tripathi, Divyanshu Singh, Seba Susan:
Speaker Recognition using SincNet and X-Vector Fusion. - Mohammad Reza Zarrabi, Nasrollah Moghaddam Charkari:
Query-points visibility constraint minimum link paths in simple polygons. - Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf:
Structural-analogy from a Single Image Pair. - Mohammad Reza Zarrabi, Nasrollah Moghaddam Charkari:
A simple proof for visibility paths in simple polygons. - Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin:
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. - Wei Jing, Feng Tian, Jizhong Zhang, Kuo-Ming Chao, Zhenxin Hong, Xu Liu:
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces. - Dvir Samuel, Yuval Atzmon, Gal Chechik:
Long-tail learning with attributes. - Constanza Riera, Pantelimon Stanica:
Some c-(almost) perfect nonlinear functions. - He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li:
Semantics of the Unwritten. - Paulo Gouveia, João Neves, Carlos Segarra, Luca Liechti, Shady Issa, Valerio Schiavoni, Miguel Matos:
Kollaps: Decentralized and Dynamic Topology Emulation. - K. R. Chowdhary:
Natural language processing for word sense disambiguation and information extraction. - Sergii Kivva:
Entropy stable flux correction for scalar hyperbolic conservation laws. - Kalikinkar Mandal, Guang Gong:
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks. - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. - Ala'eddin Masadeh, Zhengdao Wang, Ahmed E. Kamal:
Reinforcement Learning Architectures: SAC, TAC, and ESAC. - Minh Hoàng Hà, Lam Vu, Duy Manh Vu:
The two-echelon routing problem with truck and drones. - Onur Çagirici, Petr Hlinený, Filip Pokrývka, Abhisekh Sankaran:
Clique-Width of Point Configurations. - Tongfei Chen, Yunmo Chen, Benjamin Van Durme:
Hierarchical Entity Typing via Multi-level Learning to Rank. - Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu:
Improved Pretraining for Domain-specific Contextual Embedding Models. - Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis:
Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff. - Jude Tchaye-Kondi, Yanlong Zhai, Liehuang Zhu:
A new hashing based nearest neighbors selection technique for big datasets. - Sicong Zhuang, A. Cristiano I. Malossi, Marc Casas:
Reducing Data Motion to Accelerate the Training of Deep Neural Networks. - Mark Jones, Steven Kelk, Leen Stougie:
Maximum parsimony distance on phylogenetictrees: a linear kernel and constant factor approximation algorithm. - Gordana Dodig-Crnkovic:
Morphological Computation and Learning to Learn In Natural Intelligent Systems And AI. - Rohit Mohan, Abhinav Valada:
EfficientPS: Efficient Panoptic Segmentation. - Jose Picado, John Davis, Arash Termehchy, Ga Young Lee:
Learning Over Dirty Data Without Cleaning. - Navid Fallahinia, Stephen A. Mascaro:
Comparison of Constrained and Unconstrained Human Grasp Forces Using Fingernail Imaging and Visual Servoing. - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series. - Kadierdan Kaheman, J. Nathan Kutz, Steven L. Brunton:
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics. - Dmitrii Shadrin, Mariia Pukalchik, Anastasia Uryasheva, Evgeny V. Tsykunov, Grigoriy A. Yashin, Nikita Rodichenko, Dzmitry Tsetserukou:
Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases. - Jérémy Charlier, Vladimir Makarenkov:
XtracTree for Regulator Validation of Bagging Methods Used in Retail Banking. - Arthur Cassa Macedo, André Oliveira Vilela de Faria, Isabella Harb Bizzi, Fabrício A. Moreira, Alessandro Colasanti, Pietro Ghezzi:
Online information on medical cannabis may rise unrealistic expectations and downplay potential side effects. - Simon Jenni, Hailin Jin, Paolo Favaro:
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. - Thamme Gowda, Jonathan May:
Neural Machine Translation with Imbalanced Classes. - David Arnas, Carl Leake, Daniele Mortari:
The n-dimensional k-vector and its application to orthogonal range searching. - Xi Chen, Jason D. Lee, He Li, Yun Yang:
Distributed Estimation for Principal Component Analysis: a Gap-free Approach. - Ferdinando Cicalese, Nicolò Pilati:
On the Tandem Duplication Distance. - David Arnas, Carl Leake, Daniele Mortari:
Random Sampling using k-vector. - Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. - David Arnas, Daniele Mortari:
Nonlinear Function Inversion using k-vector. - Osnat Mokryn, Hagit Ben-Shoshan:
Domain-based Latent Personal Analysis and its use for impersonation detection in social media. - Yousef Emam, Sean Wilson, Mathias Hakenberg, Ulrich Münz, Magnus Egerstedt:
A Receding Horizon Scheduling Approach for Search & Rescue Scenarios. - Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos:
TAPAS: Weakly Supervised Table Parsing via Pre-training. - Wesley H. Holliday, Eric Pacuit:
Split Cycle: A New Condorcet Consistent Voting Method Independent of Clones and Immune to Spoilers. - Ivana Nikoloska, Nikola Zlatanov:
Deep Reinforcement Learning-Aided Random Access. - Minghua Wang, Zhi Zhang, Yueqiang Cheng, Surya Nepal:
DRAMDig: A Knowledge-assisted Tool to Uncover DRAM Address Mapping. - Murat Cubuktepe, Takashi Tanaka, Ufuk Topcu:
Scalable Synthesis of Minimum-Information Linear-Gaussian Control by Distributed Optimization. - Ranadeep Daw, Zhuoqiong He:
Deep Neural Network in Cusp Catastrophe Model. - Zezhong Zhang, Keyu Nie, Ted Tao Yuan:
Moving Metric Detection and Alerting System at eBay. - Kushal Chawla, Gale M. Lucas, Jonathan Gratch, Jonathan May:
BERT in Negotiations: Early Prediction of Buyer-Seller Negotiation Outcomes. - Kasra Jamshidi, Rakesh Mahadasa, Keval Vora:
Peregrine: A Pattern-Aware Graph Mining System. - Qian Qu, Ronghua Xu, Seyed Yahya Nikouei, Yu Chen:
An Experimental Study on Microservices based Edge Computing Platforms. - Julia Gong, Yannick Hold-Geoffroy, Jingwan Lu:
AutoToon: Automatic Geometric Warping for Face Cartoon Generation. - Seungmo Kim, Byung Jun Kim:
Reinforcement Learning for Accident Risk-Adaptive V2X Networking. - Philippe Morere, Fabio Ramos:
Intrinsic Exploration as Multi-Objective RL. - Xinglei Wang, Xuefeng Guan, Jun Cao, Na Zhang, Huayi Wu:
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency. - Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. - Paiheng Xu, Mark Dredze, David A. Broniatowski:
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets. - Tian Lan, Xianling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang:
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems. - Xiaozhe Gu, Arvind Easwaran, Kieu-My Phan, Insik Shin:
Resource Efficient Isolation Mechanisms in Mixed-Criticality Scheduling. - Choon Meng Lee, Jianfeng Liu, Wei Peng:
Applying Cyclical Learning Rate to Neural Machine Translation. - Kostas Alexis:
Towards a Science of Resilient Robotic Autonomy. - Özge Drama, Johanna Vielemeyer, Alexander Badri-Spröwitz, Roy Muüller:
Postural Stability in Human Running with Step-down Perturbations: An Experimental and Numerical Study. - Zibo Lin, Deng Cai, Yan Wang, Xiaojiang Liu, Hai-Tao Zheng, Shuming Shi:
Grayscale Data Construction and Multi-Level Ranking Objective for Dialogue Response Selection. - Darren Yates, Md Zahidul Islam:
FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy. - Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood. - Zhou Huang, Huai-Xin Chen, Yun-Zhi Yang, Chang-Yin Wang, Bi-Yuan Liu:
Detecting the Saliency of Remote Sensing Images Based on Sparse Representation of Contrast-weighted Atoms. - Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Deep Space-Time Video Upsampling Networks. - Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. - Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo:
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning. - René van Bevern, Viktoriia A. Slugina:
A historical note on the 3/2-approximation algorithm for the metric traveling salesman problem. - Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. - Arvind Easwaran, Insik Shin, Insup Lee:
Optimal Virtual Cluster-based Multiprocessor Scheduling. - Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola:
TraDE: Transformers for Density Estimation. - Ognjen Stanojev, Uros Markovic, Petros Aristidou, Gabriela Hug, Duncan S. Callaway, Evangelos Vrettos:
MPC-Based Fast Frequency Control of Voltage Source Converters in Low-Inertia Power Systems. - Hiroshi Noji, Hiroya Takamura:
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models. - Giovanni Conforti, Anna Kazeykina, Zhenjie Ren:
Game on Random Environment, Mean-field Langevin System and Neural Networks. - Neri Merhav:
Optimal Correlators for Detection and Estimation in Optical Receivers. - Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu:
Robust 3D Self-portraits in Seconds. - Yuval Jacoby, Clark W. Barrett, Guy Katz:
Verifying Recurrent Neural Networks using Invariant Inference. - Nguyen Hoang Son:
Independent sets of closure operations. - Ilia Shilov, Hélène Le Cadre, Ana Busic:
Risk-Averse Equilibrium Analysis and Computation. - Hanyu Li, Yanjun Zhang:
Greedy Block Gauss-Seidel Methods for Solving Large Linear Least Squares Problem. - Kai Chen, Jian Yao, Jingmin Tu, Yahui Liu, Yinxuan Li, Li Li:
Vanishing Point Guided Natural Image Stitching. - Yanjun Zhang, Hanyu Li:
A Count Sketch Kaczmarz Method For Solving Large Overdetermined Linear Systems. - Michael Braun, Jingyi Li, Florian Weber, Bastian Pfleging, Andreas Butz, Florian Alt:
What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces. - S. S. Babaev:
On an optimal interpolation formula in K2(P2) space. - Maik Pfefferkorn, Michael Maiworm, Christian Wagner, F. Stefan Tautz, Rolf Findeisen:
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy. - Dhruval Jain, Debi Prasanna Mohanty, Sanjeev Roy, Naresh Purre, Sukumar Moharana:
On-device Filtering of Social Media Images for Efficient Storage. - Bruno Yun, Madalina Croitoru:
Trust-based Multiagent Consensus or Weightings Aggregation. - Josef Dick, Michael Feischl:
A quasi-Monte Carlo data compression algorithm for machine learning. - Lukas Liebel, Ksenia Bittner, Marco Körner:
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas. - Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Adaptive Social Learning. - Jonas Bünger, Neeraj Sarna, Manuel Torrilhon:
Stable Boundary Conditions and Discretization for PN Equations. - Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana:
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. - Jinshan Pan, Haoran Bai, Jinhui Tang:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior. - Kengo Nakamura, Shuhei Denzumi, Masaaki Nishino:
Variable Shift SDD: A More Succinct Sentential Decision Diagram. - Robert Eggersmann, Laurent Stainier, Michael Ortiz, Stefanie Reese:
Model-free Data-Driven Computational Mechanics Enhanced by Tensor Voting. - Andrea Corallo, Luca Nassi, Nicola Manca:
Bringing GNU Emacs to Native Code. - Ildikó Pilán, Pål H. Brekke, Lilja Øvrelid:
Building a Norwegian Lexical Resource for Medical Entity Recognition. - Sibylle B. Fröschle, Martin Kubisch, Marlon Gräfing:
Security Analysis and Design for TAGA: a Touch and Go Assistant in the Aerospace Domain. - Pat Morin:
A Fast Algorithm for the Product Structure of Planar Graphs. - Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Bayesian optimisation of large-scale photonic reservoir computers. - Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Shuo Tian, Shiming Li, Weixia Xu:
Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. - Piotr Antonik, Nicolas Marsal, Damien Rontani:
Large-scale spatiotemporal photonic reservoir computer for image classification. - Muhammed Siraj, Mohd Izuan Hafez Ninggal, Nur Izura Udzir, Muhammad Daniel Hafiz Abdullah, Aziah Asmawi:
SmartCoAuth: Smart-Contract privacy preservation mechanism on querying sensitive records in the cloud. - Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Human action recognition with a large-scale brain-inspired photonic computer. - Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris:
GANSpace: Discovering Interpretable GAN Controls. - Guillaume Tauzin, Umberto Lupo, Lewis Tunstall, Julian Burella Pérez, Matteo Caorsi, Anibal M. Medina-Mardones, Alberto Dassatti, Kathryn Hess:
giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration. - Haris Aziz:
Simultaneously Achieving Ex-ante and Ex-post Fairness. - (Withdrawn) A Hierarchical Fine-Tuning Approach Based on Joint Embedding of Words and Parent Categories for Hierarchical Multi-label Text Classification.
- Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao:
Distinguish Confusing Law Articles for Legal Judgment Prediction. - Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski:
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication. - Suman Banerjee, Bithika Pal:
DySky: Dynamic Skyline Queries on Uncertain Graphs. - Svenja Boberg, Thorsten Quandt, Tim Schatto-Eckrodt, Lena Frischlich:
Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis - A Computational Content Analysis. - Jussi Määttä, Viacheslav Bazaliy, Jyri Kimari, Flyura Djurabekova, Kai Nordlund, Teemu Roos:
Gradient-Based Training and Pruning of Radial Basis Function Networks with an Application in Materials Physics. - Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper:
Dynamic Ridesharing in Peak Travel Periods. - Evann Courdier, François Fleuret:
Fair Latency-Aware Metric for real-time video segmentation networks. - Andreasa Morris-Martin, Marina De Vos, Julian A. Padget:
A Norm Emergence Framework for Normative MAS - Position Paper. - Wei Peng, Chongxuan Huang, Tianhao Li, Yun Chen, Qun Liu:
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation. - Rik Pintelon, Maarten Schoukens, John Lataire:
Best Linear Approximation of Nonlinear Continuous-Time Systems Subject to Process Noise and Operating in Feedback. - Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. - Najmeh Abiri, Mattias Ohlsson:
Variational auto-encoders with Student's t-prior. - Chuanfu Xiao, Chao Yang, Min Li:
Efficient Alternating Least Squares Algorithms for Truncated HOSVD of Higher-Order Tensors. - Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson:
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems. - Tom Sherborne, Yumo Xu, Mirella Lapata:
Bootstrapping a Crosslingual Semantic Parser. - Pablo Hernández-Becerro, Daniel Spescha, Konrad Wegener:
Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tool. - Ryszard Piasecki, Wieslaw Olchawa, Daniel Fraczek, Agnieszka Bartecka:
A two-stage reconstruction of microstructures with arbitrarily shaped inclusions. - Ahmad Hasanpour, Pourya Farzi, Ali Tehrani, Reza Akbari:
Software Defect Prediction Based On Deep Learning Models: Performance Study. - Qingyu Zhou, Furu Wei, Ming Zhou:
Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories. - Floris Geerts, Filip Mazowiecki, Guillermo A. Pérez:
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework. - Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin:
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. - Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. - Ioannis D. Apostolopoulos, Peter P. Groumpos:
Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps. - Florian Fontan, Luc Libralesso:
PackingSolver: a solver for Packing Problems. - Emmanuel Roque, José A. Vallejo:
Automated solving of constant-coefficients second-order linear PDEs using Fourier analysis. - Tomas Kulvicius, Irene Markelic, Minija Tamosiunaite, Florentin Wörgötter:
Semantic Image Search for Robotic Applications. - Mingyu Wang, Cheng Qian, Jacob K. White, Abdulkadir C. Yucel:
VoxCap: FFT-Accelerated and Tucker-Enhanced Capacitance Extraction Simulator for Voxelized Structures. - Chuanzheng Wang, Yinan Li, Stephen L. Smith, Jun Liu:
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks. - Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
The current state of automated negotiation theory: a literature review. - Ciro Javier Diaz Penedo, Lucas Leonardo Silveira Costa:
Grouping headlines. - Mustafa Abdool, Malay Haldar, Prashant Ramanathan, Tyler Sax, Lanbo Zhang, Aamir Mansawala, Shulin Yang, Thomas Legrand:
Managing Diversity in Airbnb Search. - Dangquan Zhang, Muhammad Aqeel Ashraf, Zhenling Liu, Wan-Xi Peng, Mohammad Javad Golkar, Amir Mosavi:
Dynamic Modeling and Adaptive Controlling in GPS-Intelligent Buoy (GIB) Systems Based on Neural-Fuzzy Networks. - Mylene Pischella, Ivan Stupia, Luc Vandendorpe:
Performance Analysis of Uplink Adaptive NOMA Depending on Channel Knowledge. - Katharina T. Huber, Simone Linz, Vincent Moulton:
Weakly displaying trees in temporal tree-child network. - Vladislav Kurenkov, Hany Hamed, Sergei Savin:
Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search. - Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Sparse Text Generation. - Fabio Sigrist:
Gaussian Process Boosting. - Rahif Kassab, Apostolos Destounis, Dimitrios Tsilimantos, Mérouane Debbah:
Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access. - Shunwang Gong, Mehdi Bahri, Michael M. Bronstein, Stefanos Zafeiriou:
Geometrically Principled Connections in Graph Neural Networks. - Qingyu Zhou, Furu Wei, Ming Zhou:
At Which Level Should We Extract? An Empirical Study on Extractive Document Summarization. - Nassim Dehouche:
On Evaluating the Quality of Rule-Based Classification Systems. - Michal Nazarczuk, Krystian Mikolajczyk:
SHOP-VRB: A Visual Reasoning Benchmark for Object Perception. - Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas, Kaleem Siddiqi, Sven J. Dickinson:
Appearance Shock Grammar for Fast Medial Axis Extraction from Real Images. - Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin:
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation. - Hao Li, Xiaopeng Zhang, Hongkai Xiong, Qi Tian:
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition. - Francis Filbet, Tao Xiong:
Conservative discontinuous Galerkin/Hermite Spectral Method for the Vlasov-Poisson System. - Alex Glushkovsky:
AI Giving Back to Statistics? Discovery of the Coordinate System of Univariate Distributions by Beta Variational Autoencoder. - Alessio Elmi, Davide Mazzini, Pietro Tortella:
Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views. - David Griffiths, Jan Boehm, Tobias Ritschel:
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. - Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. - Shen Li, Renfen Hu, Jinshan Wu:
Quantum Inspired Word Representation and Computation. - Yicong Hong, Cristian Rodriguez Opazo, Qi Wu, Stephen Gould:
Sub-Instruction Aware Vision-and-Language Navigation. - Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. - William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. - Jonatan Krolikowski, Sébastien Martin, Paolo Medagliani, Jeremie Leguay, Shuang Chen, Xiaodong Chang, Xuesong Geng:
Joint Routing and Scheduling for Large-Scale Deterministic IP Networks. - Peter D. Turney:
Conditions for Open-Ended Evolution in Immigration Games. - Miroslav Kuchta, Federica Laurino, Kent-André Mardal, Paolo Zunino:
Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers. - Tai Wang, Xinge Zhu, Dahua Lin:
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds. - Sebastian Rapp, Roland Schmehl:
Enhancing Control System Resilience for Airborne Wind Energy Systems Through Upset Condition Avoidance. - Muhammad Asad, Ahmed Moustafa, Takayuki Ito, Muhammad Aslam:
Evaluating the Communication Efficiency in Federated Learning Algorithms. - Amr Sharaf, Hany Hassan, Hal Daumé III:
Meta-Learning for Few-Shot NMT Adaptation. - Dongdong Wu, Zijing Liu, Yongchuan Tang:
A new approach for generation of generalized basic probability assignment in the evidence theory. - Frank Mancolo:
Eisen: a python package for solid deep learning. - Shreya Roy, Anirban Chakraborty:
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack. - Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam:
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. - Dingkang Wang, Lucas Magee, Bing-Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng-Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra:
Detection and skeletonization of single neurons and tracer injections using topological methods. - Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo:
Efficient Deep Representation Learning by Adaptive Latent Space Sampling. - Farah Sarwar, Anthony Griffin, Saeed Ur Rehman, Timotius Pasang:
Towards Detection of Sheep Onboard a UAV. - Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Guiding Monocular Depth Estimation Using Depth-Attention Volume. - Ayberk Aydin, Elif Sürer:
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning. - Medet Kanmaz, Elif Sürer:
Using Multi-Agent Reinforcement Learning in Auction Simulations. - Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. - Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei, Qi Tian:
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio. - Luis Miguel Lopez-Ramos, Baltasar Beferull-Lozano:
Online Hyperparameter Search Interleaved with Proximal Parameter Updates. - Fahad Siddiqui, Matthew Hagan, Sakir Sezer:
Establishing Cyber Resilience in Embedded Systems for Securing Next-Generation Critical Infrastructure. - Morteza Banagar, Harpreet S. Dhillon, Andreas F. Molisch:
Impact of UAV Jittering on the Air-to-Ground Wireless Channel. - Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin:
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. - Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. - Gonzalo Navarro:
Indexing Highly Repetitive String Collections. - S. V. Aruna Kumar, Ehsan Yaghoubi, Abhijit Das, B. S. Harish, Hugo Proença:
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices. - Xudong Chen:
Sparse Linear Ensemble Systems and Structural Controllability. - Hristo Manev, Gergana Maneva:
Redesign of web-based exam for knowledge evaluation in Advanced Mathematics for pharmaceutical students based on analysis of the results. - Jeffrey M. Ede:
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning. - Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy:
Self-Supervised Scene De-occlusion. - Mike Thelwall, Saheeda Thelwall:
Retweeting for COVID-19: Consensus building, information sharing, dissent, and lockdown life. - Iain Barclay, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor, Jarek Nabrzyski:
Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials. - Marco Zennaro, Ermanno Pietrosemoli, Marco Rainone, Daniele Trinchero, Mattia Poletti, Giovanni Colucci:
TROPPO LoRa: TROPospheric Personal Observatory using LoRa signals. - Xinyi Ying, Longguang Wang, Yingqian Wang, Weidong Sheng, Wei An, Yulan Guo:
Deformable 3D Convolution for Video Super-Resolution. - Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart:
Mapping individual differences in cortical architecture using multi-view representation learning. - Zewen Li, Wenjie Yang, Shouheng Peng, Fan Liu:
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. - Alexandru Popa:
A decision support system for optimizing the cost of social distancing in order to stop the spread of COVID-19. - Chenkai Xu, Hongwei Lin:
High-Dimensional Data Set Simplification by Laplace-Beltrami Operator. - Edgar Rojas-Muñoz, Kyle Couperus, Juan P. Wachs:
DAISI: Database for AI Surgical Instruction. - Jasmin Hundall, Benson A. Babu:
Computer Vision and Abnormal Patient Gait Assessment a Comparison of Machine Learning Models. - Jeroen Van Hautte, Vincent Schelstraete, Mikaël Wornoo:
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion. - Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas, Faisal Alqarni, Shi Su, Shijia Pan, Hae Young Noh, Pei Zhang, Marco Gruteser, Patrick Tague:
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data. - Artem Zholus, Evgeny Putin:
Continuous Histogram Loss: Beyond Neural Similarity. - Michal Friedman, Naama Ben-David, Yuanhao Wei, Guy E. Blelloch, Erez Petrank:
NVTraverse: In NVRAM Data Structures, the Destination is More Important than the Journey. - Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao:
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. - Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan:
Improved Code Summarization via a Graph Neural Network. - Albert Meroño-Peñuela, Victor de Boer, Marieke van Erp, Willem Melder, Rick J. Mourits, Auke Rijpma, Ruben Schalk, Richard Zijdeman:
Ontologies in CLARIAH: Towards Interoperability in History, Language and Media. - Junhwa Hur, Stefan Roth:
Optical Flow Estimation in the Deep Learning Age. - Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems. - Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee:
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments. - Lisa Lee, Benjamin Eysenbach, Ruslan Salakhutdinov, Shixiang Gu, Chelsea Finn:
Weakly-Supervised Reinforcement Learning for Controllable Behavior. - Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi:
There and Back Again: Revisiting Backpropagation Saliency Methods. - Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Nenghai Yu:
Rethinking Spatially-Adaptive Normalization. - Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation using a Two-Level Representation. - Stefan K. Muller, Kyle Singer, Noah Goldstein, Umut A. Acar, Kunal Agrawal, I-Ting Angelina Lee:
Responsive Parallelism with Futures and State. - Roberto Doriguzzi Corin:
Methods and Techniques for Dynamic Deployability of Software-Defined Security Services. - Ali Borji:
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors. - Simon Muntwiler, Kim Peter Wabersich, Lukas Hewing, Melanie N. Zeilinger:
Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. - Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Speaker-change Aware CRF for Dialogue Act Classification. - John Burden, Daniel Kudenko:
Uniform State Abstraction For Reinforcement Learning. - Elena Álvarez Mellado:
An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines. - Mees Al, Alessandro Fontanella, Daan C. van der Hoek, Yichao Liu, Marco Belloli, Jan-Willem van Wingerden:
Feedforward control for wave disturbance rejection on floating offshore wind turbines. - Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking. - Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking. - Mahsa Kadkhodaei, Shadrokh Samavi:
Robust Wavelet-Based Watermarking Using Dynamic Strength Factor. - Steven A. Grosz, Tarang Chugh, Anil K. Jain:
Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach. - Rhys Compton, Eibe Frank, Panos Patros, Abigail M. Y. Koay:
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. - Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari:
Objectness-Aware One-Shot Semantic Segmentation. - Ana Fernández-Guillamón, Emilio Gómez-Lázaro, Eduard Muljadi, Ángel Molina-García:
Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time. - Adam Kaufman, Raanan Fattal:
Deblurring using Analysis-Synthesis Networks Pair. - Jonas S. Juul, Laura Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann, Joachim Mathiesen:
Gender-specific behavior change following terror attacks. - Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
TSInsight: A local-global attribution framework for interpretability in time-series data. - Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le:
Evolving Normalization-Activation Layers. - Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. - Alexander Span, Vahid Aref, Henning Bülow, Stephan ten Brink:
Successive Eigenvalue Removal for Multi-Soliton Spectral Amplitude Estimation. - Ramiro dell'Erba:
Swarm robotics and complex behaviour of continuum material. - Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael J. Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. - Sadegh Dalvandi, Brijesh Dongol, Simon Doherty:
Integrating Owicki-Gries for C11-Style Memory Models into Isabelle/HOL. - Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. - Xusen Yin, Jonathan May:
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics. - Gustavo A. Valencia-Zapata, Carolina Gonzalez-Canas, Michael G. Zentner, Okan K. Ersoy, Gerhard Klimeck:
Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning. - Anahita Sanandaji, Cindy Grimm, Ruth West, Max Parola, Meghan Kajihara, Kathryn Hays, Luke Hillard, Brandon Lane, Molly Beyer:
Analyzing 3D Volume Segmentation by Low-level Perceptual Cues, High-level Cognitive Tasks, and Decision-making Processes. - Guy Tevet, Jonathan Berant:
Evaluating the Evaluation of Diversity in Natural Language Generation. - Jiangming Liu, Matt Gardner:
Multi-Step Inference for Reasoning Over Paragraphs. - Guiyang Xin, Carlo Tiseo, Wouter Wolfslag, Joshua Smith, Oguzhan Cebe, Zhibin Li, Sethu Vijayakumar, Michael N. Mistry:
Variable Autonomy of Whole-body Control for Inspection and Intervention in Industrial Environments using Legged Robots. - Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Hardware Trojan Detection Using Controlled Circuit Aging. - Moni Naor, Neil Vexler:
Can Two Walk Together: Privacy Enhancing Methods and Preventing Tracking of Users. - Francisco J. Escribano, Alexandre Wagemakers, Georges Kaddoum, Joao V. C. Evangelista:
A Spatial Time-Frequency Hopping Index Modulated Scheme in Turbulence-free Optical Wireless Communication Channels. - Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky:
The multi-objective optimisation of breakwaters using evolutionary approach. - Martin Klein, Lyudmila Balakireva:
On the Persistence of Persistent Identifiers of the Scholarly Web. - Vered Shwartz, Rachel Rudinger, Oyvind Tafjord:
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. - Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan:
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment. - Pierre Miasnikof, Alexander Y. Shestopaloff, Leonidas S. Pitsoulis, Yuri A. Lawryshyn:
Graph Distances and Clustering. - Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Çagatay Demiralp, Wang-Chiew Tan:
Enhancing Review Comprehension with Domain-Specific Commonsense. - Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef:
Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset. - Yumo Xu, Mirella Lapata:
Query Focused Multi-Document Summarization with Distant Supervision. - Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. - Sergio González Andrade:
A BDF2-Semismooth Newton Algorithm for the Numerical Solution of the Bingham Flow with Temperature Dependent Parameters. - Daniel Edmiston:
A Systematic Analysis of Morphological Content in BERT Models for Multiple Languages. - Aleksander Cislak, Szymon Grabowski:
SOPanG 2: online searching over a pan-genome without false positives. - Esin Durmus, Faisal Ladhak, Claire Cardie:
The Role of Pragmatic and Discourse Context in Determining Argument Impact. - Christopher Thiele, Mauricio Araya-Polo, Detlef Hohl:
Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method. - Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli:
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. - Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Ella M. Atkins, David J. Crandall:
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos. - Jing Pan, Vincent Pham, Mohan Dorairaj, Huigang Chen, Jeong-Yoon Lee:
Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems. - Sukesh Adiga V, Jose Dolz, Herve Lombaert:
Manifold-driven Attention Maps for Weakly Supervised Segmentation. - Yordan P. Raykov, Luc J. W. Evers, Reham Badawy, Bastiaan R. Bloem, Tom M. Heskes, Marjan J. Meinders, Kasper Claes, Max A. Little:
Probabilistic modelling of gait for robust passive monitoring in daily life. - Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. - David Grimsman, Matthew R. Kirchner, João P. Hespanha, Jason R. Marden:
The Impact of Message Passing in Agent-Based Submodular Maximization. - Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction. - Peng Xu, Jiguang Wan, Ping Huang, Xiaogang Yang, Chenlei Tang, Fei Wu, Changsheng Xie:
LUDA: Boost LSM Key Value Store Compactions with GPUs. - Rachel N. Berman, Ron M. Roth:
On the Number of Factorizations of Polynomials over Finite Fields. - Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell:
Information-Theoretic Probing for Linguistic Structure. - Jingjing Chen, Jichao Zhang, Jiayuan Fan, Tao Chen, Enver Sangineto, Nicu Sebe:
MGGR: MultiModal-Guided Gaze Redirection with Coarse-to-Fine Learning. - Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, Adina Williams:
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition. - Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. - Shijian Li, Robert J. Walls, Tian Guo:
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers. - Anastasios Petropoulos, Irem Boybat, Manuel Le Gallo, Evangelos Eleftheriou, Abu Sebastian, Theodore Antonakopoulos:
Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing. - Kai Zhang, Vítor Albiero, Kevin W. Bowyer:
A Method for Curation of Web-Scraped Face Image Datasets. - Yuntao Zou, Lei Zhang, Jiangchao Qin:
Estimation of Stability Regions of Droop Control Slopes for MMC-based MTDC Systems. - Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. - Max Willsey, Yisu Remy Wang, Oliver Flatt, Chandrakana Nandi, Pavel Panchekha, Zachary Tatlock:
egg: Easy, Efficient, and Extensible E-graphs. - Yadi Wei, Rishit Sheth, Roni Khardon:
Direct loss minimization for sparse Gaussian processes. - Bingyun Liang, Shiqi Zheng, Choon Ki Ahn:
Adaptive Fuzzy Control for Fractional-Order Interconnected Systems with Unknown Control Directions. - Alejandro Allendes, Francisco Fuica, Enrique Otárola, Daniel Quero:
A posteriori error estimates for a distributed optimal control problem of the stationary Navier-Stokes equations. - Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha:
Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning. - Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Interview: A Large-Scale Open-Source Corpus of Media Dialog. - Allen Schmaltz, Andrew Beam:
Exemplar Auditing for Multi-Label Biomedical Text Classification. - Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Is Graph Structure Necessary for Multi-hop Reasoning? - Bowen Wu, Huan Zhang, Mengyuan Li, Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang:
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation. - Pratyay Banerjee, Chitta Baral:
Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering. - Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu:
Generalized Label Enhancement with Sample Correlations. - Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen:
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering. - Dirk Bergemann, Alessandro Bonatti, Tan Gan:
The Economics of Social Data. - Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
Generative Adversarial Zero-shot Learning via Knowledge Graphs. - Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao:
Repulsive Mixture Models of Exponential Family PCA for Clustering. - Jason M. Altschuler, Pablo A. Parrilo:
Approximating Min-Mean-Cycle for low-diameter graphs in near-optimal time and memory. - Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu:
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. - Nelvin Tan, Jonathan Scarlett:
Improved Bounds and Algorithms for Sparsity-Constrained Group Testing. - Maheswaree Kissoon Curumsing, Alex Cummaudo, Ulrike Maria Graetsch, Scott Barnett, Rajesh Vasa:
Ranking Computer Vision Service Issues using Emotion. - DongHyun Choi, Myeongcheol Shin, EungGyun Kim, Dong Ryeol Shin:
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases. - Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu:
Toward Fine-grained Facial Expression Manipulation. - Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon:
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. - Kyubyong Park, Seanie Lee:
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset. - Hongxiao Bai, Mingxuan Wang, Hai Zhao, Lei Li:
Unsupervised Neural Machine Translation with Indirect Supervision. - Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence. - Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang:
Human Motion Transfer from Poses in the Wild. - Zhe Wang, Daeyun Shin, Charless C. Fowlkes:
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation. - Dana Ruiter, Cristina España-Bonet, Josef van Genabith:
Self-Induced Curriculum Learning in Neural Machine Translation. - Yang Zhang, Changhui Hu, Xiaobo Lu:
Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition. - Giorgio Giannone, Asha Anoosheh, Alessio Quaglino, Pierluca D'Oro, Marco Gallieri, Jonathan Masci:
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs. - Haitian Zeng, Haizhou Ai, Zijie Zhuang, Long Chen:
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition. - Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning. - Francesco Ranzato:
Decidability and Synthesis of Abstract Inductive Invariants. - Jan Niehues:
Machine Translation with Unsupervised Length-Constraints. - Chuadhry Mujeeb Ahmed, Jianying Zhou:
Challenges and Opportunities in CPS Security: A Physics-based Perspective. - Takuro Karamatsu, Gibran Benitez-Garcia, Keiji Yanai, Seiichi Uchida:
Iconify: Converting Photographs into Icons. - Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. - Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. - Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin:
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. - Yue Xie, Aneta Neumann, Frank Neumann:
Specific Single- and Multi-Objective Evolutionary Algorithms for the Chance-Constrained Knapsack Problem. - Lukas Barth, Dorothea Wagner:
Zipping Segment Trees. - Atima Tharatipyakul, Kenny T. W. Choo, Simon T. Perrault:
Pose Estimation for Facilitating Movement Learning from Online Videos. - Lisai Zhang, Qingcai Chen, Baotian Hu, Shuoran Jiang:
Neural Image Inpainting Guided with Descriptive Text. - Jinfeng Li:
Vulnerabilities Mapping based on OWASP-SANS: a Survey for Static Application Security Testing (SAST). - Sergey Shemyakov, Roman Chernov, Dzmitry Rumiantsau, Dierk Schleicher, Simon Schmitt, Anton Shemyakov:
Finding polynomial roots by dynamical systems - a case study. - Mohammad Mahdi Kazemi Moghaddam, Qi Wu, Ehsan Abbasnejad, Javen Shi:
Utilising Prior Knowledge for Visual Navigation: Distil and Adapt. - Zhifeng Yuan, Weimin Li, Zhigang Li, Yuzhou Hu, Yihua Ma:
Contention-based Grant-free Transmission with Independent Multi-pilot Scheme. - Zdenek Kasner, Jindrich Libovický, Jindrich Helcl:
Improving Fluency of Non-Autoregressive Machine Translation. - Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Motion-supervised Co-Part Segmentation. - Hazem A. Abdelghany, Simon H. Tindemans, Mathijs Michiel de Weerdt, Han La Poutré:
Distributed Coordination of Deferrable Loads: A Real-time Market with Self-fulfilling Forecasts. - Richard Meyes, Moritz Schneider, Tobias Meisen:
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents. - Kazutoshi Shinoda, Akiko Aizawa:
Variational Question-Answer Pair Generation for Machine Reading Comprehension. - Christian Hakert, Kuan-Hsun Chen, Paul R. Genssler, Georg von der Brüggen, Lars Bauer, Hussam Amrouch, Jian-Jia Chen, Jörg Henkel:
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. - Yaoyi Li, Qingyao Xu, Hongtao Lu:
Hierarchical Opacity Propagation for Image Matting. - Caterina Bassi, Saray Busto, Michael Dumbser:
High order ADER-DG schemes for the simulation of linear seismic waves induced by nonlinear dispersive free-surface water waves. - Marcos Maronas, Kevin Sala, Sergi Mateo, Eduard Ayguadé, Vicenç Beltran:
Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism. - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition. - Mikko Säily, Carlos Barjau Estevan, Jordi Joan Gimenez, Fasil Tesema, Wei Guo, David Gomez-Barquero, De Mi:
5G Radio Access Network Architecture for Terrestrial Broadcast Services. - Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Euijong Whang:
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images. - Andreas B. Martinsen, Anastasios M. Lekkas, Sebastien Gros:
Combining system identification with reinforcement learning-based MPC. - Amirhossein Rajabi, Carsten Witt:
Self-Adjusting Evolutionary Algorithms for Multimodal Optimization. - Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, Jianfeng Gao:
Guided Dialog Policy Learning without Adversarial Learning in the Loop. - Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes. - Joel Scheuner, Philipp Leitner:
The State of Research on Function-as-a-Service Performance Evaluation: A Multivocal Literature Review. - Shaiq Munir Malik, Mohbat Tharani, Murtaza Taj:
Teacher-Class Network: A Neural Network Compression Mechanism. - Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig:
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. - Saskia Schön, Veselina Mironova, Aleksandra Gabryszak, Leonhard Hennig:
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products. - Heike Faßbender, Miroslav Rozlozník, Sanja Singer:
Nearly optimal scaling in the SR decomposition. - Jiyeon Ham, Yo Joong Choe, Kyubyong Park, Ilji Choi, Hyungjoon Soh:
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding. - Stefano Calzavara, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando:
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios. - Raheeb Muzaffar, Christian Raffelsberger, Aymen Fakhreddine, José López Luque, Driton Emini, Christian Bettstetter:
First Experiments with a 5G-Connected Drone. - (Withdrawn) Pyramid Focusing Network for mutation prediction and classification in CT images.
- Huikai Shao, Dexing Zhong, Xuefeng Du:
Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing. - Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Control Barrier Functions from Expert Demonstrations. - Svenja Laing, Niklas Kühl:
Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. - Leon Schüller, Florian Wilhelm, Nico Kreiling, Goran Glavas:
Windowing Models for Abstractive Summarization of Long Texts. - Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion. - Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie:
MedDialog: A Large-scale Medical Dialogue Dataset. - Michal Koziarski:
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. - Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe:
Binary Neural Networks: A Survey. - Sergey Tarasenko, Fumihiko Takahashi:
Streaming Networks: Increase Noise Robustness and Filter Diversity via Hard-wired and Input-induced Sparsity. - Zachary Polizzi, Chuan-Yung Tsai:
FusedProp: Towards Efficient Training of Generative Adversarial Networks. - Ciro Javier Diaz Penedo:
Predict the model of a camera. - Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Luiz E. S. Oliveira, Robert Sabourin:
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. - Fenxi Xiao, Jie Zhang, Bo Huang, Xia Wu:
Multiform Fonts-to-Fonts Translation via Style and Content Disentangled Representations of Chinese Character. - Fenxi Xiao, Bo Huang, Xia Wu:
Automatic Generation of Chinese Handwriting via Fonts Style Representation Learning. - Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov:
Class-Agnostic Continual Learning of Alternating Languages and Domains. - Claus Fieker, Tommy Hofmann, Carlo Sircana:
Resultants over principal Artinian rings. - Loïck Bonniot, Christoph Neumann, François Taïani:
DiagNet: towards a generic, Internet-scale root cause analysis solution. - Théo Zimmermann:
A first look at an emerging model of community organizations for the long-term maintenance of ecosystems' packages. - Patrick Wspanialy, Justin Brooks, Medhat Moussa:
An Image Labeling Tool and Agricultural Dataset for Deep Learning. - Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim:
GeoFlink: A Framework for the Real-time Processing of Spatial Streams. - Nina Pörner, Ulli Waltinger, Hinrich Schütze:
Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition. - Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. - Chairi Kiourt, George Pavlidis, Stella Markantonatou:
Deep learning approaches in food recognition. - Abrar Zahin, Le Thanh Tan, Rose Qingyang Hu:
A Machine Learning Based Framework for the Smart Healthcare Monitoring. - David A. Noever, Sam E. Miller Noever:
Knife and Threat Detectors. - Mutaz Y. Melhem, Laszlo B. Kish:
Man in the middle and current injection attacks against the KLJN key exchanger compromised by DC sources. - Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. - Lixiu Dong, Cheng Wang, Hui Zhang, Zhengru Zhang:
A positivity-preserving second-order BDF scheme for the Cahn-Hilliard equation with variable interfacial parameters. - Ioannis D. Apostolopoulos, Peter P. Groumpos, Dimitris J. Apostolopoulos:
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. - Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. - Dario Sitnik, Ivica Kopriva:
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification. - Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. - Fariborz Taherkhani, Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval. - Kaijie Xu, Witold Pedrycz, Zhiwu Li, Mengdao Xing:
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix. - Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. - J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. - Su Zhu, Jieyu Li, Lu Chen, Kai Yu:
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking. - Christian Puchert, Andreas M. Tillmann:
Exact separation of forbidden-set cuts associated with redundant parity checks of binary linear codes. - Iztok Fister Jr., Karin Ljubic Fister, Iztok Fister:
Discovering associations in COVID-19 related research papers. - Shivam Srivastava, Prithviraj Sen, Berthold Reinwald:
Forecasting in multivariate irregularly sampled time series with missing values. - Yang Zheng, Izzat H. Izzat, Sanling Song:
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation. - Vic Patrangenaru, Yifang Deng:
Nonparametric Data Analysis on the Space of Perceived Colors. - Dimitrios Kanoulas, Nikos G. Tsagarakis, Marsette Vona:
Curved patch mapping and tracking for irregular terrain modeling: Application to bipedal robot foot placement. - Michal Koziarski, Michal Wozniak, Bartosz Krawczyk:
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. - Mohammad Khodaei, Panos Papadimitratos:
Scalable & Resilient Vehicle-Centric Certificate Revocation List Distribution in Vehicular Communication Systems. - Michal Koziarski:
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. - Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao:
Direct Speech-to-image Translation. - Leonardo Bonati, Salvatore D'Oro, Lorenzo Bertizzolo, Emrecan Demirors, Zhangyu Guan, Stefano Basagni, Tommaso Melodia:
CellOS: Zero-touch Softwarized Open Cellular Networks. - Eugene Kharitonov, Marco Baroni:
Emergent Language Generalization and Acquisition Speed are not tied to Compositionality. - Frederike Zufall, Huangpan Zhang, Katharina Kloppenborg, Torsten Zesch:
Operationalizing the legal concept of 'Incitement to Hatred' as an NLP task. - Joon Sik Kim, Jiahao Chen, Ameet Talwalkar:
Model-Agnostic Characterization of Fairness Trade-offs. - Nikita Shanin, Laura Cottatellucci, Robert Schober:
Markov Decision Process Based Design of SWIPT Systems: Non-linear EH Circuits, Memory, and Impedance Mismatch. - Aoqian Zhang, Shaoxu Song, Yu Sun, Jianmin Wang:
Learning Individual Models for Imputation (Technical Report). - Mohammad Majid al-Rifaie, Marc Cavazza:
Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation Methods. - Nicolò Pollini:
Fail-safe optimization of viscous dampers for seismic retrofitting. - Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven:
QuantNet: Transferring Learning Across Systematic Trading Strategies. - Chenming Wu, Yong-Jin Liu, Charlie C. L. Wang:
Learning to Accelerate Decomposition for Multi-Directional 3D Printing. - Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. - Jason Stock, Andy Dolan, Tom Cavey:
Strategies for Robust Image Classification. - Brian Reily, Qingzhao Zhu, Christopher M. Reardon, Hao Zhang:
Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition. - Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu, Maxwell X. Cai, Axel Berg, Simon Portegies Zwart, Robin Stoffer, Menno Veerman, Chiel van Heerwaarden, Sydney Otten, Sascha Caron, Cunliang Geng, Francesco Ambrosetti, Alexandre M. J. J. Bonvin:
Deep-learning enhancement of large scale numerical simulations. - Francesco Sovrano, Monica Palmirani, Fabio Vitali:
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions. - Jefferson Tales Oliva, João Luís Garcia Rosa:
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection. - Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li:
Learning Formation of Physically-Based Face Attributes. - Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause:
Hierarchical Image Classification using Entailment Cone Embeddings. - Lukas Stankevicius, Mantas Lukosevicius:
Testing pre-trained Transformer models for Lithuanian news clustering. - Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan V. Oseledets:
Bayesian aggregation improves traditional single image crop classification approaches. - Mehdi Alaimi, Edith Law, Kevin Daniel Pantasdo, Pierre-Yves Oudeyer, Hélène Sauzeon:
Pedagogical Agents for Fostering Question-Asking Skills in Children. - Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell:
Learning from Imperfect Annotations. - Ciro M. Medeiros, Martin A. Musicante, Umberto Souza da Costa:
An Algorithm for Context-Free Path Queries over Graph Databases. - Sharmodeep Bhattacharyya, Shirshendu Chatterjee:
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers. - Lijun Sun, Xinyu Chen, Zhaocheng He, Luis Miranda-Moreno:
Routine pattern discovery and anomaly detection in individual travel behavior. - Soham Parikh, Quaizar Vohra, Mitul Tiwari:
Automated Utterance Generation. - Younes Samih, Kareem Darwish:
A Few Topical Tweets are Enough for Effective User-Level Stance Detection. - Sándor P. Fekete, Alexander Hill, Dominik Krupke, Tyler Mayer, Joseph S. B. Mitchell, Ojas Parekh, Cynthia A. Phillips:
Probing a Set of Trajectories to Maximize Captured Information. - Dimitrios Koutsoukos, Ingo Müller, Renato Marroquín, Gustavo Alonso:
Modularis: Modular Data Analytics for Hardware, Software, and Platform Heterogeneity. - Priyanka Sen, Amir Saffari:
What do Models Learn from Question Answering Datasets? - Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. - Fabian Schuiki, Andreas Kurth, Tobias Grosser, Luca Benini:
LLHD: A Multi-level Intermediate Representation for Hardware Description Languages. - Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. - Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento:
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. - Benjamin Fish, Lev Reyzin:
On the Complexity of Learning from Label Proportions. - Dmitri Kuzmin:
Entropy stabilization and property-preserving limiters for discontinuous Galerkin discretizations of nonlinear hyperbolic equations. - Lorenzo Mascotto, Jens Markus Melenk, Ilaria Perugia, Alexander Rieder:
FEM-BEM mortar coupling for the Helmholtz problem in three dimensions. - Nima Karbasizadeh, Ali Ahmadi Dastjerdi, Niranjan Saikumar, Duarte Valério, S. Hassan HosseinNia:
Benefiting from Linear Behaviour of a Nonlinear Reset-based Element at Certain Frequencies. - María José Gómez-Silva:
Deep Multi-Shot Network for modelling Appearance Similarity in Multi-Person Tracking applications. - Vincent Coppé, Daan Huybrechs:
Efficient function approximation on general bounded domains using wavelets on a cartesian grid. - Ferdinand Blomqvist, Oliver W. Gnilke, Marcus Greferath:
On Decoding of Generalized Concatenated Codes and Matrix-Product Codes. - Justin Chan, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro:
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing. - Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. - Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian:
Unsupervised Person Re-identification via Softened Similarity Learning. - Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou:
Temporal Pyramid Network for Action Recognition. - Shengkai Li, Yasemin Ozkan Aydin, Gabriella Small, Charles Xiao, Jennifer M. Rieser, Hussain N. Gynai, Pablo Laguna, Daniel I. Goldman:
Self-propulsion on spandex: toward a robotic analog gravity system. - Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk:
Capsule Networks - A Probabilistic Perspective. - Muhammad Asif Ali, Yifang Sun, Bing Li, Wei Wang:
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations. - Oshin Agarwal, Daniel M. Bikel:
Entity Linking via Dual and Cross-Attention Encoders. - Stelios Tsampas, Andreas Nuyts, Dominique Devriese, Frank Piessens:
A categorical approach to secure compilation. - Changmao Li, Jinho D. Choi:
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering. - Vida Dujmovic, Pat Morin, Céline Yelle:
Two Results on Layered Pathwidth and Linear Layouts. - Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao:
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation. - Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus:
Neural Analogical Matching. - Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. - Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer:
Feature Pyramid Grids. - Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su, Si Wei:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam:
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. - Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik:
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. - Ahana Pradhan, Rushikesh K. Joshi:
A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows. - Riccardo Fazio, Alessandra Insana, Alessandra Jannelli:
A Front Fixing Implicit Finite Difference Method for the American Put Options Model. - Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel:
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method. - Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. - Robin Brochier, Antoine Gourru, Adrien Guille, Julien Velcin:
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding. - Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
PatchVAE: Learning Local Latent Codes for Recognition. - Alejandro Acien, John V. Monaco, Aythami Morales, Rubén Vera-Rodríguez, Julian Fiérrez:
TypeNet: Scaling up Keystroke Biometrics. - Harish Doraiswamy, Juliana Freire:
A GPU-friendly Geometric Data Model and Algebra for Spatial Queries: Extended Version. - Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang:
Efficient long-distance relation extraction with DG-SpanBERT. - Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg:
Probabilistic Spatial Transformers for Bayesian Data Augmentation. - Davide Giri, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca P. Carloni:
ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning. - Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, George F. Foster:
Re-translation versus Streaming for Simultaneous Translation. - Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu:
Causal Relational Learning. - Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan:
Source Coding for Synthesizing Correlated Randomness. - Aniss Maghsoudlou, Oliver Gasser, Anja Feldmann:
Reserved: Dissecting Internet Traffic on Port 0. - Pablo Arrighi, Giuseppe Di Molfetta, Nathanaël Eon:
Gauge-invariance in cellular automata. - Wei Chen, Kartikeya Bhardwaj, Radu Marculescu:
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. - Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen:
Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering. - Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko:
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews. - Jia-Hong Huang, Marcel Worring:
Query-controllable Video Summarization. - Mohammad Khajenejad, Zeyuan Jin, Sze Zheng Yong:
Interval Observers for Simultaneous State and Model Estimation of Partially Known Nonlinear Systems. - Tyler D. Smith, Ryan Peroutka, Robert Edman:
Compositional Formal Analysis Based on Conventional Engineering Models. - Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde:
Radon cumulative distribution transform subspace modeling for image classification. - Antonio Libri, Andrea Bartolini, Luca Benini:
pAElla: Edge-AI based Real-Time Malware Detection in Data Centers. - Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig:
Dynamic Data Selection and Weighting for Iterative Back-Translation. - Floris van Doorn, Gabriel Ebner, Robert Y. Lewis:
Maintaining a Library of Formal Mathematics. - Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. - Alon Jacovi, Yoav Goldberg:
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? - Hanbyul Joo, Natalia Neverova, Andrea Vedaldi:
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation. - Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell:
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. - Naveen Kuppuswamy, Alex Alspach, Avinash Uttamchandani, Sam Creasey, Takuya Ikeda, Russ Tedrake:
Soft-Bubble grippers for robust and perceptive manipulation. - Yanjun Zhang, Hanyu Li:
A novel greedy Gauss-Seidel method for solving large linear least squares problem. - Mitchell Jones:
Cutting cycles of rods in space is FPT. - Johannes Seiferth, Matthias Korch, Thomas Rauber:
Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. - Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. - Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele:
Long-Tailed Recognition Using Class-Balanced Experts. - Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. - Dale Stansberry, Suhas Somnath, Jessica Breet, Gregory Shutt, Mallikarjun Shankar:
DataFed: Towards Reproducible Research via Federated Data Management. - Ahmet Kara, Milos Nikolic, Hung Q. Ngo, Dan Olteanu, Haozhe Zhang:
Maintaining Triangle Queries under Updates. - Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. - Sophia Sanga, Victor Mero, Dina Machuve, Davis Mwanganda:
Mobile-Based Deep Learning Models for Banana Diseases Detection. - Christoph F. Strnadl:
The Logical Syntax of (IT) Architectures. - Kaj Bostrom, Greg Durrett:
Byte Pair Encoding is Suboptimal for Language Model Pretraining. - Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin:
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. - Majid Mazouchi, Farzaneh Tatari, Bahare Kiumarsi, Hamidreza Modares:
Fully-HeterogeneousContainment Control of a Network of Leader-Follower Systems. - Lucas Sakizloglou, Sona Ghahremani, Thomas Brand, Matthias Barkowsky, Holger Giese:
Towards Highly Scalable Runtime Models with History. - Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. - Ashwinkumar Ganesan, Frank Ferraro, Tim Oates:
Locality Preserving Loss to Align Vector Spaces. - Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. - Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo:
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild. - You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen, John Thompson, Fadhel M. Ghannouchi, Naser El-Sheimy:
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation. - Boxin Wang, Boyuan Pan, Xin Li, Bo Li:
Towards Evaluating the Robustness of Chinese BERT Classifiers. - Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz:
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. - Pengzhan Guo, Zeyang Ye, Keli Xiao, Wei Zhu:
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning. - Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy:
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. - Cori Tymoszek, Sunpreet S. Arora, Kim Wagner, Anil K. Jain:
DashCam Pay: A System for In-vehicle Payments Using Face and Voice. - Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei:
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. - Shakti Kumar, Jerrod Parker, Panteha Naderian:
Adaptive Transformers in RL. - Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers:
Generating Narrative Text in a Switching Dynamical System. - M. Benzakour Amine:
Linearized Implicit Methods Based on a Single-Layer Neural Network: Application to Keller-Segel Models. - Lawrence J. Trautman, Mohammed T. Hussein, Louis Ngamassi, Mason J. Molesky:
Governance of the Internet of Things (IoT). - Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Trust in Recommender Systems: A Deep Learning Perspective. - Cheng Li, Ye Tian:
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task. - Yue Zhou, Yan Zhang, JingTao Yao:
Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets. - Longguang Wang, Yingqian Wang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo:
Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks. - Kristjan Arumae, Parminder Bhatia:
CALM: Continuous Adaptive Learning for Language Modeling. - Zhichao Li, Naiyan Wang:
DMLO: Deep Matching LiDAR Odometry. - Jaleh Zand, Stephen Roberts:
Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN). - Geyang Wang, Qi Wang:
A note on an OACF-preserving operation based on Parker's Transformation. - Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen:
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. - Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. - Abhinav Ramesh Kashyap, Min-Yen Kan:
SciWING - A Software Toolkit for Scientific Document Processing. - Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai:
Improving BERT with Self-Supervised Attention. - Ryuichi Takanobu, Runze Liang, Minlie Huang:
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. - Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima:
MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images. - Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Learning to Steer Query Optimizers. - Jianfeng Dong, Xun Wang, Leimin Zhang, Chaoxi Xu, Gang Yang, Xirong Li:
Feature Re-Learning with Data Augmentation for Video Relevance Prediction. - Liren Yu, Jiaming Xu, Xiaojun Lin:
Graph Matching with Partially-Correct Seeds. - Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita:
Explicit Reordering for Neural Machine Translation. - Xiang Li, Rongfei Fan, Han Hu, Ning Zhang:
Energy-efficient Resource Allocation in Mobile Edge Computing with Multiple Relays. - Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig:
SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities. - Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Attentive Normalization for Conditional Image Generation. - Zhaojiang Lin, Andrea Madotto, Pascale Fung:
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning. - Xiao Jiang, Gang Li, Yu Liu, Xiao-Ping Zhang, You He:
Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion. - Ana Jevtic, Marija Ilic:
A Moving-target Cyber-Attack Detection Strategy for Large-scale Power Systems using Dynamic Clustering. - Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. - Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian:
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes. - Hayoung Kim, Dongchan Kim, Gihoon Kim, Jeongmin Cho, Kunsoo Huh:
Multi-Head Attention based Probabilistic Vehicle Trajectory Prediction. - Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
Poor Man's BERT: Smaller and Faster Transformer Models. - Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu:
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling. - Weiwei Jiang:
MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset. - Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu:
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing. - Sejin Seo, Seunghwan Kim, Seong-Lyun Kim:
A Public Safety Framework for Immersive Aerial Monitoring through 5G Commercial Network. - Meenakshi Sarkar, Debasish Ghose, Evangelos A. Theodorou:
High-Relative Degree Stochastic Control Lyapunov and Barrier Functions. - Matti Pellikka, Valtteri Lahtinen:
A Robust Method for Image Stitching. - Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and external pressures on language emergence: least effort, object constancy and frequency. - Charles Pillet, Carlo Condo, Valerio Bioglio:
Fast-SCAN decoding of Polar Codes. - Olga Slizovskaia, Gloria Haro, Emilia Gómez:
Conditioned Source Separation for Music Instrument Performances. - Italo Atzeni, Marco Maso:
Full-Duplex Radios for Edge Caching. - Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Litu Rout, Saumyaa Shah, S. Manthira Moorthi, Debajyoti Dhar:
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution. - Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. - Jing Zhang, Guidoum Ikram, Huiyuan Li:
Vectorial ball Prolate spheroidal wave functions with the divergence free constraint. - Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. - Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. - Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Training Neural Networks to Produce Compatible Features. - Kristina Gulordava, Thomas Brochhagen, Gemma Boleda:
Which one is the dax? Achieving mutual exclusivity with neural networks. - Hyo-Sang Shin, Hae-In Lee:
A New Exponential Forgetting Algorithm for Recursive Least-Squares Parameter Estimation. - Suchismita Das, Nikhil R. Pal:
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach. - Alexey A. Peregudin:
Method of Attractive Cylinders. Solution for a General Linear Tracking Problem. - Carol Mak, C.-H. Luke Ong, Hugo Paquet, Dominik Wagner:
Densities of almost-surely terminating probabilistic programs are differentiable almost everywhere. - Nikhil Kumar Rajput, Bhavya Ahuja Grover, Vipin Kumar Rathi:
Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic. - Omri Lev, Anatoly Khina:
Schemes for LQG Control over Gaussian Channels with Side Information. - Bernd Skiera, Lukas Jürgensmeier, Kevin Stowe, Iryna Gurevych:
How to Best Predict the Daily Number of New Infections of Covid-19. - Ilya Chernykh, Alexander V. Kononov, Sergey Sevastyanov:
A polynomial-time algorithm for the routing flow shop problem with two machines: an asymmetric network with a fixed number of nodes. - Yang Zhang, Changhui Hu, Xiaobo Lu:
Improved YOLOv3 Object Classification in Intelligent Transportation System. - Zhongchen Ma, Songcan Chen:
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. - Ana Stanojevic, Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian:
File Classification Based on Spiking Neural Networks. - Jian-Jian Weng, Fady Alajaji, Tamás Linder:
A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results. - Gang Liu, Jing Wang:
A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification. - Suleiman Y. Yerima, Mohammed K. Alzaylaee:
High Accuracy Phishing Detection Based on Convolutional Neural Networks. - Jianwei Liu, Jinsong Han, Feng Lin, Kui Ren:
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition. - Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi:
Conditional Rap Lyrics Generation with Denoising Autoencoders. - Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions. - Tillmann Mühlpfordt, Frederik Zahn, Veit Hagenmeyer, Timm Faulwasser:
PolyChaos.jl - A Julia Package for Polynomial Chaos in Systems and Control. - Kai Mindermann, Stefan Wagner:
Fluid Intelligence Doesn't Matter! Effects of Code Examples on the Usability of Crypto APIs. - Federico Bianchi, Silvia Terragni, Dirk Hovy:
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. - Alireza Kavousi, Javad Mohajeri, Mahmoud Salmasizadeh:
Improved Secure Efficient Delegated Private Set Intersection. - Marco Ballesio, Ajay Jasra, Erik von Schwerin, Raúl Tempone:
A Wasserstein Coupled Particle Filter for Multilevel Estimation. - Xavier Favory, Frederic Font, Xavier Serra:
Search Result Clustering in Collaborative Sound Collections. - Márton Véges, András Lorincz:
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision. - Erik Henning Thiede, Truong-Son Hy, Risi Kondor:
The general theory of permutation equivarant neural networks and higher order graph variational encoders. - Karl Stratos, Sam Wiseman:
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. - Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer:
A Graph Convolutional Network Composition Framework for Semi-supervised Classification. - Shihua Gong, Ivan G. Graham, Euan A. Spence:
Domain decomposition preconditioners for high-order discretisations of the heterogeneous Helmholtz equation. - Liangliang Xu, Min Lyu, Zhipeng Li, Yongkun Li, Yinlong Xu:
Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Storage Systems. - Pablo V. A. Barros, Ana Tanevska, Alessandra Sciutti:
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game. - Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo:
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation. - Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Earned Benefit Maximization in Social Networks Under Budget Constraint. - Yue Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson:
Signature features with the visibility transformation. - Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov:
Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning. - Denis P. Rubanga, Loyani K. Loyani, Mgaya Richard, Sawahiko Shimada:
A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants. - Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis:
Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. - Ayobami E. Adewale, Amnir Hadachi:
Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix. - Erika Ábrahám, James H. Davenport, Matthew England, Gereon Kremer, Zak Tonks:
New Opportunities for the Formal Proof of Computational Real Geometry? - Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. - Derek Chang, Devendra Shelar, Saurabh Amin:
Stochastic Resource Allocation for Electricity Distribution Network Resilience. - Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou:
"Go eat a bat, Chang!": An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. - James Bell, David Butler, Chris Hicks, Jon Crowcroft:
TraceSecure: Towards Privacy Preserving Contact Tracing. - Stanislav Peshterliev, Christophe Dupuy, Imre Kiss:
Self-Attention Gazetteer Embeddings for Named-Entity Recognition. - P. J. B. Hancock, R. S. Somai, V. R. Mileva, A. K. Bobak:
Convolutional neural net face recognition works in non-human-like ways. - Ivan Vulic, Sebastian Ruder, Anders Søgaard:
Are All Good Word Vector Spaces Isomorphic? - Bert Mortier, Pieterjan Robbe:
Multilevel Asymptotic-Preserving Monte Carlo for Particle Simulations. - Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. - Shasha Guo, Ziyang Kang, Lei Wang, Limeng Zhang, Xiaofan Chen, Shiming Li, Weixia Xu:
A Noise Filter for Dynamic Vision Sensors based on Global Space and Time Information. - Andrew Hobbs, Stacey Svetlichnaya:
Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya. - Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke:
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. - Xun Xu, Gim Hee Lee:
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10X Fewer Labels. - Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. - Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu:
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. - Irean Navas Alejo, Toni Badia, Jeremy Barnes:
Cross-lingual Emotion Intensity Prediction. - Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth:
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach. - Aaron Steven White, Kyle Rawlins:
Frequency, Acceptability, and Selection: A case study of clause-embedding. - Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda, Pitshaporn Leelaarporn, Narin Kunaseth, Suppakorn Tammajarung, Poramate Manoonpong, Theerawit Wilaiprasitporn:
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting. - Mohammad Khatibi, Fatemeh Rahmani, Tanushree Agarwal:
Comparative Analysis of Power System Model Reduction. - A. A. Velichko, D. V. Ryabokon, S. D. Khanin, A. V. Sidorenko, A. G. Rikkiev:
Reservoir Computing using High Order Synchronization of Coupled Oscillators. - Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah:
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks. - Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms. - Arnab Banerjee, Nibaran Das, Mita Nasipuri:
Skin Diseases Detection using LBP and WLD- An Ensembling Approach. - Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. - Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai:
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. - Adriana D. Correia, Henk T. C. Stoof, Michael Moortgat:
Putting a Spin on Language: A Quantum Interpretation of Unary Connectives for Linguistic Applications. 114-140 - Aravind Srinivas, Michael Laskin, Pieter Abbeel:
CURL: Contrastive Unsupervised Representations for Reinforcement Learning. - Xi Liang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. - Leslie N. Smith, Adam Conovaloff:
Empirical Perspectives on One-Shot Semi-supervised Learning. - Junhwa Hur, Stefan Roth:
Self-Supervised Monocular Scene Flow Estimation. - Ahmet Aktay, Shailesh Bavadekar, Gwen Cossoul, John Davis, Damien Desfontaines, Alex Fabrikant, Evgeniy Gabrilovich, Krishna Gadepalli, Bryant Gipson, Miguel Guevara, Chaitanya Kamath, Mansi Kansal, Ali Lange, Chinmoy Mandayam, Andrew Oplinger, Christopher Pluntke, Thomas Roessler, Arran Schlosberg, Tomer Shekel, Swapnil Vispute, Mia Vu, Gregory Wellenius, Brian Williams, Royce J. Wilson:
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0). - Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti:
Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data. - Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert:
Leveraging 2D Data to Learn Textured 3D Mesh Generation. - Fangwei Ye, Carolina Naim, Salim El Rouayheb:
ON-OFF Privacy in the Presence of Correlation. - Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly:
The GeoLifeCLEF 2020 Dataset. - Kenneth L. McMillan:
Bayesian Interpolants as Explanations for Neural Inferences. - Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. - Ali Parsai, Serge Demeyer, Seph De Busser:
C++11/14 Mutation Operators Based on Common Fault Patterns. - Erik D. Demaine, Sándor P. Fekete, Phillip Keldenich, Dominik Krupke, Joseph S. B. Mitchell:
Computing Convex Partitions for Point Sets in the Plane: The CG: SHOP Challenge 2020. - Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
How Crisp is the Crease? A Subjective Study on Web Browsing Perception of Above-The-Fold. - Ali Parsai, Serge Demeyer:
Do Null-Type Mutation Operators Help Prevent Null-Type Faults? - Peeyush Kushwaha, Rahul Purandare, Matthew B. Dwyer:
Optimal Runtime Verification of Finite State Properties over Lossy Event Streams. - Serra Sinem Tekiroglu, Yi-Ling Chung, Marco Guerini:
Generating Counter Narratives against Online Hate Speech: Data and Strategies. - Wasilij Barsukow, Christian Klingenberg:
Exact solution and the multidimensional Godunov scheme for the acoustic equations. - Ramiro dell'Erba:
Determination of spatial configuration of an underwater swarm with minimum data. - Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Saliency-based Weighted Multi-label Linear Discriminant Analysis. - Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes:
Measuring Emotions in the COVID-19 Real World Worry Dataset. - Prithvi Akella, Mohamadreza Ahmadi, Richard M. Murray, Aaron D. Ames:
Formal Test Synthesis for Safety-Critical Autonomous Systems based on Control Barrier Functions. - Alex Wang, Kyunghyun Cho, Mike Lewis:
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries. - Joshua Fishman, Luca Carlone:
Control and Trajectory Optimization for Soft Aerial Manipulation. - Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. - Stefan Constantin, Alex Waibel:
Error-correction and extraction in request dialogs. - Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: Genetic Evolution for Acquiring Compact AI. - Haotian Jiang, Yin Tat Lee, Zhao Song, Sam Chiu-wai Wong:
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications. - Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. - Ann Clifton, Aasish Pappu, Sravana Reddy, Yongze Yu, Jussi Karlgren, Ben Carterette, Rosie Jones:
The Spotify Podcasts Dataset. - Jingyun Jia:
Deep Learning and Open Set Malware Classification: A Survey. - Adrian Sandu:
Convergence Results for Implicit-Explicit General Linear Methods. - Daniel L. Silver, Jabun Nasa:
Estimating Grape Yield on the Vine from Multiple Images. - Shahin Tasoujian, Saeed Salavati Dezfuli, Karolos Grigoriadis, Matthew A. Franchek:
Scaled Small-Gain Approach to Robust Control of LPV Systems with Uncertain Varying Delay. - Masoud Salehpour, Joseph G. Davis:
The Effects of Different JSON Representations on Querying Knowledge Graphs. - Benjamin W. Priest:
DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications. - Mark Koren, Mykel J. Kochenderfer:
Adaptive Stress Testing without Domain Heuristics using Go-Explore. - Mark Koren, Anthony Corso, Mykel J. Kochenderfer:
The Adaptive Stress Testing Formulation. - Geunwoo Lim, Yujin Kwon, Yongdae Kim:
Analysis of LFT2. - Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan:
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. - Rahul Kr Chauhan, Ravinder Saharan, Siddhartha Singh, Priti Sharma:
Automated Content Grading Using Machine Learning. - Pradeep Ambati, Noman Bashir, David E. Irwin, Mohammad H. Hajiesmaili, Prashant J. Shenoy:
Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options. - Matthew Weidner, Heather Miller, Christopher Meiklejohn:
Composing and Decomposing Op-Based CRDTs with Semidirect Products. - Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. - Zecheng Zhang, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung:
Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations. - Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer:
Learning to Scale Multilingual Representations for Vision-Language Tasks. - Jie Xu, Heqiang Wang:
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective. - Sarah Alqurashi, Ahmad Alhindi, Eisa Alanazi:
Large Arabic Twitter Dataset on COVID-19. - Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng:
Identification of splicing edges in tampered image based on Dichromatic Reflection Model. - Xiaoli Li, Jie Shen:
Efficient Linear and Unconditionally Energy Stable Schemes for the Modified Phase Field Crystal Equation. - Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. - Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang:
Quasi-Newton Solver for Robust Non-Rigid Registration. - Yibao Jiang, Can Wan, Audun Botterud, Yonghua Song, Zhao Yang Dong:
Efficient Robust Dispatch of Combined Heat and Power Systems. - Chang-Sik Choi, François Baccelli:
Analysis of Vehicular Safety Messaging in Cellular Networks. - Marco Loog, Tom J. Viering, Alexander Mey, Jesse H. Krijthe, David M. J. Tax:
A Brief Prehistory of Double Descent. - Sreejith Sreekumar, Alexander Bunin, Ziv Goldfeld, Haim H. Permuter, Shlomo Shamai:
The Secrecy Capacity of Cost-Constrained Wiretap Channels. - An-An Lu, Xiqi Gao, Chengshan Xiao:
Robust Precoder Design for 3D Massive MIMO Downlink with A Posteriori Channel Model. - Chaojie Ji, Ruxin Wang, Rongxiang Zhu, Yunpeng Cai, Hongyan Wu:
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs. - Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. - Quan Hoang Nguyen, Andre Cronje, Michael Kong:
OV: Validity-based Optimistic Smart Contracts. - Hao Sun, Zhiqun Zhao, Zhihai He:
Reciprocal Learning Networks for Human Trajectory Prediction. - Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen:
Feedback Recurrent Autoencoder for Video Compression. - João G. Ribeiro, Frederico S. Felisberto, Isabel Neto:
Pruning and Sparsemax Methods for Hierarchical Attention Networks. - Kamaledin Ghiasi-Shirazi, Taraneh Ghandi, Ali Taghizadeh, Ali Rahimi-Baigi:
A Pedagogically Sound yet Efficient Deletion algorithm for Red-Black Trees: The Parity-Seeking Delete Algorithm. - Chaoqiang Zhao, Gary G. Yen, Qiyu Sun, Chongzhen Zhang, Yang Tang:
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency. - Xu Du, Ashutosh Sabharwal:
Shared Angles-of-Departure in Massive MIMO Channels: Correlation Analysis and Performance Impact. - Eitan Tadmor, Ming Zhong:
Sparse recovery of noisy data using the Lasso method. - Lan Chen, Xiaopeng Zhang, Juntao Ye:
Multi-feature super-resolution network for cloth wrinkle synthesis. - Akira Kohara, Kunihisa Okano, Kentaro Hirata, Yukinori Nakamura:
Sensor placement minimizing the state estimation mean square error: Performance guarantees of greedy solutions. - Arnab Das, Sriram Krishnamoorthy, Ian Briggs, Ganesh Gopalakrishnan, Ramakrishna Tipireddy:
FPDetect: Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation. - Abhyuday Jagannatha, Hong Yu:
Calibrating Structured Output Predictors for Natural Language Processing. - Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao:
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. - Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen:
Knowledge Distillation for Mobile Edge Computation Offloading. - Oliver Bendel:
Co-Robots as Care Robots. - Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng, Shirong Liu:
ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence. - Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis:
Spectral Discovery of Jointly Smooth Features for Multimodal Data. - Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu:
Towards Inheritable Models for Open-Set Domain Adaptation. - Lucas Gren, Magdalena Lindman:
What an Agile Leader Does: The Group Dynamics Perspective. - Benjamin Smith, Kevin Cant, Gloria Wang:
Anomaly Detection with SDAE. - Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. - Kakeru Mitsuno, Jun'ichi Miyao, Takio Kurita:
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. - Minhyeok Lee, Junhee Seok:
Score-Guided Generative Adversarial Networks. - Da Li, Timothy M. Hospedales:
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. - Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. - Quentin Duchemin:
Inference in the Stochastic Block Model with a Markovian assignment of the communities. - Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt:
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion. - Elan Van Biljon, Arnu Pretorius, Julia Kreutzer:
On Optimal Transformer Depth for Low-Resource Language Translation. - Kai Wan, Mingyue Ji, Giuseppe Caire:
Topological Coded Distributed Computing. - Ahmad Al Taweel, Heiko Paulheim:
Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings. - Jnanamurthy H. K, Vijay Varadharajan:
Formal Modelling and Verification of Software Defined Network. - Oliver Bendel:
Care Robots with Sexual Assistance Functions. - Marcel Christoph Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. - Vassil Vassilev, Aleksandr Efremov, Oksana Shadura:
Automatic Differentiation in ROOT. - Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. - Mohammad Shihabul Haque, Daniel Jun Xian Ng, Arvind Easwaran, Karthik Thangamariappan:
Contract-based Hierarchical Resilience Management for Cyber-Physical Systems. - Sidharta Andalam, Daniel Jun Xian Ng, Arvind Easwaran, Karthik Thangamariappan:
Contract-based Methodology for Developing Resilient Cyber-Infrastructure in the Industry 4.0 Era. - Lakshit Singla, Lakshmi Natarajan:
Improving Generalized Spatial Modulation using Translation Patterns. - Sidharta Andalam, Daniel Jun Xian Ng, Arvind Easwaran, Karthik Thangamariappan:
CLAIR: A Contract-based Framework for Developing Resilient CPS Architectures. - Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang:
CenterMask: single shot instance segmentation with point representation. - Marita Holtmannspötter, Arnd Rösch, Boris Vexler:
A priori error estimates for the space-time finite element discretization of an optimal control problem governed by a coupled linear PDE-ODE system. - Danial Kamran, Carlos Fernández Lopez, Martin Lauer, Christoph Stiller:
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning. - Shuai Lu, Pingping Niu, Frank Werner:
On the asymptotical regularization for linear inverse problems in presence of white noise. - Tiancheng Lin, Yuanfan Guo, Canqian Yang, Jiancheng Yang, Yi Xu:
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection. - Boris Skoric, Wil Michiels:
The Blob: provable incompressibility and traceability in the whitebox model. - Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno:
Well conditioned ptychograpic imaging via lost subspace completion. - Matej Gjurkovic, Mladen Karan, Iva Vukojevic, Mihaela Bosnjak, Jan Snajder:
PANDORA Talks: Personality and Demographics on Reddit. - Alexandre Boulch, Gilles Puy, Renaud Marlet:
LightConvPoint: convolution for points. - Naoya Takeishi, Yoshinobu Kawahara:
On Anomaly Interpretation via Shapley Values. - Rutvij H. Jhaveri, Rui Tan, Sagar V. Ramani:
Real-time QoS Routing Scheme in SDN-based Robotic Cyber-Physical Systems. - Stanislav Pidhorskyi, Donald A. Adjeroh, Gianfranco Doretto:
Adversarial Latent Autoencoders. - Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Thiago Gouveia da Silva, Andréa Carneiro Linhares:
A Multilingual Study of Multi-Sentence Compression using Word Vertex-Labeled Graphs and Integer Linear Programming. - Stefano Berrone, Alessandro D'Auria, Stefano Scialò:
An optimization approach for flow simulations in poro-fractured media with complex geometries. - Daniel Jun Xian Ng, Arvind Easwaran, Sidharta Andalam:
Demo Abstract: Contract-based Hierarchical Resilience Framework for Cyber-Physical Systems. - Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya:
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study. - Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban:
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. - Victor Michel-Dansac, Christophe Berthon, Stéphane Clain, Françoise Foucher:
A two-dimensional high-order well-balanced scheme for the shallow water equations with topography and Manning friction. - Edgar Sucar, Kentaro Wada, Andrew J. Davison:
Neural Object Descriptors for Multi-View Shape Reconstruction. - Mor Geva, Ankit Gupta, Jonathan Berant:
Injecting Numerical Reasoning Skills into Language Models. - Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. - Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, Ming Zhou:
MuTual: A Dataset for Multi-Turn Dialogue Reasoning. - Aaron Bernstein, Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
Near-Optimal Decremental SSSP in Dense Weighted Digraphs. - Monther Aldwairi, Suaad Mohammed, Megana Lakshmi Padmanabhan:
Efficient and Secure Flash-based Gaming CAPTCH. - Danielle Saunders, Bill Byrne:
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem. - Mahmoud A. Bokhari, Brad Alexander, Markus Wagner:
Towards Rigorous Validation of Energy Optimisation Experiments. - Vitor Alexandre Campos Figueiredo, Samuel Baraldi Mafra, Joel J. P. C. Rodrigues:
A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture. - Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios. - Artur Podobas, Kentaro Sano, Satoshi Matsuoka:
A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective. - Zaineb T. Al-Azez, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient IoT Virtualization with Passive Optical Access Network. - George T. Hall, Pietro S. Oliveto, Dirk Sudholt:
Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators. - Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. - Padraig Cunningham, Sarah Jane Delany:
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples). - Yirui Cong, Xiangke Wang, Xiangyun Zhou:
Rethinking the Mathematical Framework and Optimality of Set-Membership Filtering. - Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng:
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation. - Laetitia Teodorescu, Katja Hofmann, Pierre-Yves Oudeyer:
Recognizing Spatial Configurations of Objects with Graph Neural Networks. - Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkilä:
Sequential Neural Rendering with Transformer. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Interactions in information spread: quantification and interpretation using stochastic block models. - Xiaohan Zhang, Yong Xiao, Qiang Li, Walid Saad:
Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support. - Alexander Vandesompele, Gabriel Urbain, Francis Wyffels, Joni Dambre:
Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped. - Janani Venkatasubramanian, Johannes Köhler, Julian Berberich, Frank Allgöwer:
Robust Dual Control based on Gain Scheduling. - Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. - Md. Tahmid Rashid, Dong Wang:
CovidSens: A Vision on Reliable Social Sensing based Risk Alerting Systems for COVID-19 Spread. - Anthony C. Constantinou:
Learning Bayesian Networks that enable full propagation of evidence. - Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung:
ARCH: Animatable Reconstruction of Clothed Humans. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. - Aras Dargazany:
Model-based actor-critic: GAN + DRL (actor-critic) => AGI. - Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen:
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. - Kotaro Matsuda, Shuhei Denzumi, Kunihiko Sadakane:
Storing Set Families More Compactly with Top ZDDs. - Bo Gong, Jiguang Sun, Xinming Wu:
Finite Element Approximation of the Modified Maxwell's Stekloff Eigenvalues. - Ana I. Bento, Thuy Nguyen, Coady Wing, Felipe Lozano-Rojas, Yong-Yeol Ahn, Kosali Simon:
Information Seeking Responses to News of Local COVID-19 Cases: Evidence from Internet Search Data. - Pawel Jan Kalczynski, Jack Brimberg, Zvi Drezner:
The Importance of Good Starting Solutions in the Minimum Sum of Squares Clustering Problem. - Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn:
Global Public Health Surveillance using Media Reports: Redesigning GPHIN. - Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. - Bennett Kleinberg, Paul McFarlane:
Violent music vs violence and music: Drill rap and violent crime in London. - Yo-Der Song, Tomaso Aste:
The cost of Bitcoin mining has never really increased. - Zhaoxing Li, Yanfang Liu, Jiguang Sun, Liwei Xu:
Quality-Bayesian approach to inverse acoustic source problems with partial data. - Nouraldin Jaber, Christopher Wagner, Swen Jacobs, Milind Kulkarni, Roopsha Samanta:
Parameterized Reasoning for Distributed Systems with Consensus. - Bruno Lima, João Pascoal Faria:
DCO Analyzer: Local Controllability and Observability Analysis and Enforcement of Distributed Test Scenarios. - You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy:
Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization. - Nguyen Phong Hoang, Arian Akhavan Niaki, Michalis Polychronakis, Phillipa Gill:
The Web is Still Small After More Than a Decade. - Jens J. Hunhevicz, Daniel M. Hall:
Do you need a blockchain in construction? Use case categories and decision framework for DLT design options. - Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi:
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching. - Roman Iakymchuk, Daichi Mukunoki, Artur Podobas, Fabienne Jézéquel, Toshiyuki Imamura, Norihisa Fujita, Jens Huthmann, Shuhei Kudo, Yiyu Tan, Jens Domke, Kai Torben Ohlhus, Takeshi Fukaya, Takeo Hoshi, Yuki Murakami, Maho Nakata, Takeshi Ogita, Kentaro Sano, Taisuke Boku:
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - Michael Strecke, Jörg Stückler:
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints. - Di Gao, Cheng Zhuo:
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks. - Andrew Pensoneault, Xiu Yang, Xueyu Zhu:
Nonnegativity-Enforced Gaussian Process Regression. - Emiliano Pérez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly:
Parallel/distributed implementation of cellular training for generative adversarial neural networks. - Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo:
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. - Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Graph Highway Networks. - Maohong Chen, Yong Xiao, Qiang Li, Kwang-Cheng Chen:
Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning. - Alireza Ghaffari, Yvon Savaria:
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA. - Jamal Toutouh, Una-May O'Reilly, Erik Hemberg:
Data Dieting in GAN Training. - Muhammad Huzaifa, Rishi Desai, Xutao Jiang, Joseph Ravichandran, Finn Sinclair, Sarita V. Adve:
Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research. - Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua:
On the Ethics of Building AI in a Responsible Manner. - Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Query-Focused EHR Summarization to Aid Imaging Diagnosis. - Una-May O'Reilly, Jamal Toutouh, Marcos A. Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Lugo, Jonathan Kelly, Erik Hemberg:
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters. - Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. - Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Structure-preserving neural networks. - Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy:
Computing Local Sensitivities of Counting Queries with Joins. - Andis Draguns, Emils Ozolins, Agris Sostaks, Matiss Apinis, Karlis Freivalds:
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences. - Amandine Marrel, Bertrand Iooss, Vincent Chabridon:
Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology. - Sepehr Assadi, Chen Wang:
Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits. - Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. - David Enthoven, Zaid Al-Ars:
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies. - Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens:
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks. - Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon, Alejandro Ribeiro, George J. Pappas:
Risk-Constrained Linear-Quadratic Regulators. - Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger:
Machine Learning in Artificial Intelligence: Towards a Common Understanding. - Majid Farzaneh, Rahil Mahdian Toroghi:
GGA-MG: Generative Genetic Algorithm for Music Generation. - Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. - Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia:
Rethinking the Trigger of Backdoor Attack. - Thibault Sellam, Dipanjan Das, Ankur P. Parikh:
BLEURT: Learning Robust Metrics for Text Generation. - Travis Manderson, Stefan Wapnick, David Meger, Gregory Dudek:
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images. - Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. - Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso:
Heuristics for Link Prediction in Multiplex Networks. - Francisco Javier García Gómez, Gerhard Kramer:
Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels. - Besher Alhalabi, Mohamed Medhat Gaber, Shadi Basurra:
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT. - Frank Gurski, Dominique Komander, Carolin Rehs:
Solutions for Subset Sum Problems with Special Digraph Constraints. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Translation Artifacts in Cross-lingual Transfer Learning. - Paul Van Eecke, Katrien Beuls:
Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning. - Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. - Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang:
3D Photography using Context-aware Layered Depth Inpainting. - Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek:
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. - Christoph Feichtenhofer:
X3D: Expanding Architectures for Efficient Video Recognition. - Denny Vrandecic:
Architecture for a multilingual Wikipedia. - Mark D. Halling-Brown, Lucy M. Warren, Dominic Ward, Emma Lewis, Alistair Mackenzie, Matthew G. Wallis, Louise Wilkinson, Rosalind M. Given-Wilson, Rita McAvinchey, Kenneth C. Young:
OPTIMAM Mammography Image Database: a large scale resource of mammography images and clinical data. - Sudarsun Kannan, Yujie Ren, Abhishek Bhattacharjee:
Efficient Kernel Object Management for Tiered Memory Systems with KLOC. - Edith Cohen, Ofir Geri, Rasmus Pagh:
Composable Sketches for Functions of Frequencies: Beyond the Worst Case. - M. Hammad Masood, Habiba Saim, Murtaza Taj, Mian M. Awais:
Early Disease Diagnosis for Rice Crop. - Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva:
Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. - Mahendra Singh Tomar, Christoph Kawan, Pushpak Jagtap, Majid Zamani:
Numerical Estimation of Invariance Entropy for Nonlinear Control Systems. - Yan Zong, Xuewu Dai, Pep Canyelles-Pericas, Krishna Busawon, Richard Binns, Zhiwei Gao:
Modelling and Synchronisation of Delayed Packet-Coupled Oscillators in Industrial Wireless Sensor Networks. - Krishna R. Narayanan, Anoosheh Heidarzadeh, Ramanan Laxminarayan:
On Accelerated Testing for COVID-19 Using Group Testing. - Ha Q. Ngo, Christoph Henke, Frank Hees:
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones. - Bekir Z. Demiray, Muhammed Ali Sit, Ibrahim Demir:
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks. - Sajad Norouzi, David J. Fleet, Mohammad Norouzi:
Exemplar VAEs for Exemplar based Generation and Data Augmentation. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Using Skill Rating as Fitness on the Evolution of GANs. - Alain Giordanengo:
Impact of PGHD reliability on the usefulness of a clinical decision support system. - (Withdrawn) Multichain-MWPoW: A $p/2$ Adversary Power Resistant Blockchain Sharding Approach to a Decentralised Autonomous Organisation Architecture.
- Jack Rueter, Mika Hämäläinen:
FST Morphology for the Endangered Skolt Sami Language. - Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab:
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. - Scott McLachlan:
Health Information Standardisation as a basis for Learning Health Systems. - Simran K, Prathiksha Balakrishna, Vinayakumar R., Soman K. P.:
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis. - Vukosi Marivate, Herkulaas MvE Combrink:
Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study. - Yingshi Chen, Naixing Feng:
Learning Unsplit-field-based PML for the FDTD Method by Deep Differentiable Forest. - Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo:
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval. - Hong Fang, He Zhang, Fanli Shan, Ming Tie, Xing Zhang, Jun Zhang:
Efficient mesh deformation using radial basis functions with a grouping-circular-based greedy algorithm. - Chathika Gunaratne, Subash K. Ray, Caroline Lourenco Alves, Maria Waldl:
Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions. - Zheng Nie, Jiachen Xu, Shengchang Zhang:
Analysis on DeepLabV3+ Performance for Automatic Steel Defects Detection. - Po-Han Huang, Konstantinos Psounis:
Optimal User-Cell Association for 360 Video Streaming over Dense Wireless Networks. - Devansh Saxena, Patrick Skeba, Shion Guha, Eric P. S. Baumer:
Methods for Generating Typologies of Non/use. - Adam Breuer, Roee Eilat, Udi Weinsberg:
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. - Alexey V. Smirnov, Michael V. Klibanov, Anders Sullivan, Lam H. Nguyen:
Convexification for an Inverse Problem for a 1D Wave Equation with Experimental Data. - Andrey Kupavskii:
The VC-dimension of k-vertex d-polytopes. - Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy:
Policy Gradient using Weak Derivatives for Reinforcement Learning. - Zahra Tarkhani, Anil Madhavapeddy:
$μ$Tiles: Efficient Intra-Process Privilege Enforcement of Memory Regions. - Daniel Khashabi, Tushar Khot, Ashish Sabharwal:
Natural Perturbation for Robust Question Answering. - Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Spatial Priming for Detecting Human-Object Interactions. - Rachit Nigam, Sachille Atapattu, Samuel Thomas, Zhijing Li, Theodore Bauer, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang:
Predictable Accelerator Design with Time-Sensitive Affine Types. - Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett:
Politeness for the Theory of Algebraic Datatypes. - Zsuzsanna Lipták, Simon J. Puglisi, Massimiliano Rossi:
Pattern Discovery in Colored Strings. - Mohtashim Baqar, Azfar Ghani, Azeem Aftab, Shahzad Karim Khawar:
Brain Interface Based Wheel Chair Control System for Handicap - An advance and viable approach. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
A Network Topology for Composable Infrastructures. - Muhammad Hassan, Mohtashim Baqar:
Design and Implementation of a DTMF Based Pick and Place Robotic Arm. - Ashad Mustafa, Hassan Jameel, Mohtashim Baqar, Rameez Ahmed Khan, Zeeshan M. Yaqoob, Zeeshan Rahim, Syed Safdar Hussain:
Vehicle Intrusion And Theft Control System Using GSM and GPS - An advance and viable approach. - Sho Ko, Shimeng Yu:
SMART Paths for Latency Reduction in ReRAM Processing-In-Memory Architecture for CNN Inference. - Martin Palazzo, Patricio Yankilevich, Pierre Beauseroy:
Latent regularization for feature selection using kernel methods in tumor classification. - Yvonne R. Stürz, Annika Eichler, Roy S. Smith:
Distributed Control Design for Heterogeneous Interconnected Systems. - Nathaniel Weir, Adam Poliak, Benjamin Van Durme:
On the Existence of Tacit Assumptions in Contextualized Language Models. - Randa A. Thabit, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
A Resilient AWGR and Server Based PON Data Centre Architecture. - Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan:
Improved Automatic Summarization of Subroutines via Attention to File Context. - Wuyang Li, Xueshuang Xiang, Yingxiang Xu:
Deep Domain Decomposition Method: Elliptic Problems. - Yihong Dong, Xiaohan Jiang, Huaji Zhou, Yun Lin, Qingjiang Shi:
SR2CNN: Zero-Shot Learning for Signal Recognition. - Zhanhong Zhou, Xiaolong Zhai, Chung Tin:
Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier. - Nouraldin Jaber, Swen Jacobs, Christopher Wagner, Milind Kulkarni, Roopsha Samanta:
Parameterized Verification of Systems with Global Synchronization and Guards. - Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang:
Secret Sharing based Secure Regressions with Applications. - Rohan Jagtap, Sudhir N. Dhage:
An In-depth Walkthrough on Evolution of Neural Machine Translation. - Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. - Tianyu Zhao, Divesh Lala, Tatsuya Kawahara:
Designing Precise and Robust Dialogue Response Evaluators. - Jianwei Liu, Jinsong Han, Lei Yang, Fei Wang, Feng Lin, Kui Ren:
A Framework for Behavior Privacy Preserving in Radio Frequency Signal. - Sam Blake:
A Simple Method for Computing Some Pseudo-Elliptic Integrals in Terms of Elementary Functions. - Sher Dadakhanov:
Analyze and Development System with Multiple Biometric Identification. - Xin Xu, Lei Liu, Weifeng Liu, Meng Wang, Ruimin Hu:
Person Re-Identification via Active Hard Sample Mining. - Chentao Yue, Mahyar Shirvanimoghaddam, Branka Vucetic, Yonghui Li:
A Revisit to Ordered Statistic Decoding: Distance Distribution and Decoding Rules. - Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding:
Deep Residual Correction Network for Partial Domain Adaptation. - Min Li, Chengming Huang, Yaozhong Hu:
Numerical methods for stochastic Volterra integral equations with weakly singular kernels. - Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel R. Tetreault, Alejandro Jaimes:
Multimodal Categorization of Crisis Events in Social Media. - Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre:
Luring of Adversarial Perturbations. - Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto:
Phase Consistent Ecological Domain Adaptation. - Mehar Ullah, Pedro H. J. Nardelli, Annika Wolff, Kari Smolander:
Twenty-one key factors to choose an IoT platform: Theoretical framework and its applications. - Zhongxiao Jia:
Optimal Subspace Expansion for Matrix Eigenvalue Problems. - Hang Chen, Cunsheng Ding, Sihem Mesnager, Chunming Tang:
A Novel Application of Boolean Functions with High Algebraic Immunity in Minimal Codes. - Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li:
Real-world Person Re-Identification via Degradation Invariance Learning. - Alistair Conkie, Andrew M. Finch:
Scalable Multilingual Frontend for TTS. - Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng:
Identifying Cultural Differences through Multi-Lingual Wikipedia. - Yuxin Wang, Hongtao Xie, Zhengjun Zha, Mengting Xing, Zilong Fu, Yongdong Zhang:
ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection. - Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang:
State-Relabeling Adversarial Active Learning. - Silviu Vlad Oprea, Walid Magdy:
The Effect of Sociocultural Variables on Sarcasm Communication Online. - Yuying Liu, Colin Ponce, Steven L. Brunton, J. Nathan Kutz:
Multiresolution Convolutional Autoencoders. - Emre Ozfatura, Sennur Ulukus, Deniz Gündüz:
Straggler-aware Distributed Learning: Communication Computation Latency Trade-off. - Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski:
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. - Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua:
Boosting Semantic Human Matting with Coarse Annotations. - Rui Zhao, Kecheng Zheng, Zhengjun Zha:
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval. - Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. - Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh:
Rephrasing visual questions by specifying the entropy of the answer distribution. - Hirokatsu Kataoka, Tenga Wakamiya, Kensho Hara, Yutaka Satoh:
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs? - Soumi Maiti, Erik Marchi, Alistair Conkie:
Generating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data. - Yu Alexander Tse, Shuai Liu, Yang Yang, Michael Yu Wang:
A Flexible Connector for Soft Modular Robots Based on Micropatterned Intersurface Jamming. - Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. - Benjamin Doerr, Martin S. Krejca:
A Simplified Run Time Analysis of the Univariate Marginal Distribution Algorithm on LeadingOnes. - Jiawei Liu, Xierong Zhu, Zheng-Jun Zha, Na Jiang:
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos. - Anastasia A. Funkner, Ksenia Balabaeva, Sergey V. Kovalchuk:
Negation Detection for Clinical Text Mining in Russian. - Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng:
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View. - Seyed Reza Hoseini Najarkolaei, Mohammad Ali Maddah-Ali, Mohammad Reza Aref:
Coded Secure Multi-Party Computation for Massive Matrices with Adversarial Nodes. - Amit Portnoy, Danny Hendler:
Towards Realistic Byzantine-Robust Federated Learning. - Ksenia Balabaeva, Anastasia A. Funkner, Sergey V. Kovalchuk:
Automated Spelling Correction for Clinical Text Mining in Russian. - Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao:
Improved Residual Networks for Image and Video Recognition. - QuanMeng Ma, Guang Jiang, DianZhi Lai:
Robust Line Segments Matching via Graph Convolution Networks. - Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma:
Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. - Ivan P. Yamshchikov, Viacheslav Shibaev, Nikolay Khlebnikov, Alexey Tikhonov:
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric. - Mohammad Reza Bonyadi, Rui Wang, Maryam Ziaei:
Self Punishment and Reward Backfill for Deep Q-Learning. - Eirini Anthi, Lowri Williams, Matilda Rhode, Pete Burnap, Adam Wedgbury:
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems. - Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong:
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. - Céline Beji, Michaël Bon, Florian Yger, Jamal Atif:
Estimating Individual Treatment Effects through Causal Populations Identification. - Nick Brettell, Jake Horsfield, Andrea Munaro, Giacomo Paesani, Daniël Paulusma:
Bounding the Mim-Width of Hereditary Graph Classes. - Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-inherited Neural Architecture Search. - Dechao Meng, Liang Li, Xuejing Liu, Yadong Li, Shijie Yang, Zhengjun Zha, Xingyu Gao, Shuhui Wang, Qingming Huang:
Parsing-based View-aware Embedding Network for Vehicle Re-Identification. - Nick Brettell, Jake Horsfield, Daniël Paulusma:
Colouring $(sP_1+P_5)$-Free Graphs: a Mim-Width Perspective. - Maarten Schoukens, Roland Tóth:
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation. - Sayan Putatunda, Kiran Rama:
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting. - Martijn de Vos, Can Umut Ileri, Johan Pouwelse:
XChange: A Blockchain-based Mechanism for Generic Asset Trading In Resource-constrained Environments. - Shukun Zhang, James M. Murphy:
Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. - Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury:
A New Dataset for Natural Language Inference from Code-mixed Conversations. - Evgeny Izutov:
ASL Recognition with Metric-Learning based Lightweight Network. - Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. - Amir Gilad, Daniel Deutch, Sudeepa Roy:
On Multiple Semantics for Declarative Database Repairs. - Jordan Kodner, Nitish Gupta:
Overestimation of Syntactic Representationin Neural Language Models. - S. C. Maree, Tanja Alderliesten, Peter A. N. Bosman:
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing. - Lorenzo Pareschi:
An introduction to uncertainty quantification for kinetic equations and related problems. - Heidi Howard, Richard Mortier:
Paxos vs Raft: Have we reached consensus on distributed consensus? - Muhammad Tirmazi, Ran Ben Basat, Jiaqi Gao, Minlan Yu:
Cheetah: Accelerating Database Queries with Switch Pruning. - Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo V. A. Barros:
CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning. - Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin:
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. - Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Khoa Luu, Tien D. Bui, Khoa Luu:
LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition. - Yinfei Xu, Daming Cao:
Secret Key Generation from Vector Gaussian Sources with Public and Private Communications. - Robert Ehrensperger, Clemens Sauerwein, Ruth Breu:
Current Practices in the Information Collection for Enterprise Architecture Management. - Federico Chiariotti, Olga G. Vikhrova, Beatriz Soret, Petar Popovski:
Peak Age of Information Distribution in Tandem Queue Systems. - Navid Khoshavi, Saman Sargolzaei, Arman Roohi, Connor Broyles, Yu Bi:
Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference. - Michael Murray, Jared Tanner:
The Permuted Striped Block Model and its Factorization - Algorithms with Recovery Guarantees. - Charles B. Schaff, Matthew R. Walter:
Residual Policy Learning for Shared Autonomy. - Rohit Jena, Shirsendu Sukanta Halder, Katia P. Sycara:
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning. - Sam Blackshear, David L. Dill, Shaz Qadeer, Clark W. Barrett, John C. Mitchell, Oded Padon, Yoni Zohar:
Resources: A Safe Language Abstraction for Money. - Jessica B. Hamrick, Shakir Mohamed:
Levels of Analysis for Machine Learning. - Vitaly Petrov, Dmitri Moltchanov, Yevgeni Koucheryavy, Josep Miquel Jornet:
Capacity and Outage of Terahertz Communications with User Micro-mobility and Beam Misalignment. - Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. - Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sørensen:
Deep transfer learning for improving single-EEG arousal detection. - Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Automatically Assessing Quality of Online Health Articles. - Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao:
A note on blind contact tracing at scale with applications to the COVID-19 pandemic. - Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. - Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin:
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. - Dominic Baril, Vincent Grondin, Simon-Pierre Deschênes, Johann Laconte, Maxime Vaidis, Vladimír Kubelka, André Gallant, Philippe Giguère, François Pomerleau:
Evaluation of Skid-Steering Kinematic Models for Subarctic Environments. - Crefeda Faviola Rodrigues, Graham D. Riley, Mikel Luján:
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms. - Keunwoo Peter Yu, Yi Yang:
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets. - Ana Jevtic, Marija Ilic:
Resilient State Estimation in Presence of Severe Coordinated Cyber-Attacks on Large-Scale Power Systems. - Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka:
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service. - Iz Beltagy, Matthew E. Peters, Arman Cohan:
Longformer: The Long-Document Transformer. - Seyed Omid Sajedi, Xiao Liang:
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring. - Carlos Esteves:
Theoretical Aspects of Group Equivariant Neural Networks. - Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning to Explore using Active Neural SLAM. - Jindrich Libovický, Rudolf Rosa, Alexander Fraser:
On the Language Neutrality of Pre-trained Multilingual Representations. - Lin Wang, Haijun Yu:
An Energy Stable Linear Diffusive Crank-Nicolson Scheme for the Cahn-Hilliard Gradient Flow. - Cynthia Dwork, Christina Ilvento, Meena Jagadeesan:
Individual Fairness in Pipelines. - Anushri Dixit, Joel Burdick:
The Kinematics of Tracked Vehicles via the Power Dissipation Method. - Oleksandr Ivanov, Lisa Wolf, Deena Brecher, Kevin Masek, Erica Lewis, Stephen Liu, Robert B. Dunne, Kevin Klauer, Kyla Montgomery, Yurii Andrieiev, Moss McLaughlin, Christian Reilly:
Improving Emergency Department ESI Acuity Assignment Using Machine Learning and Clinical Natural Language Processing. - Jaber Valinejad, Lamine Mili, Konstantinos P. Triantis, Michael von Spakovsky, C. Natalie van der Wal:
Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation Results. - Johannes Vrana:
NDE 4.0: Digital Twin, Semantics, Interfaces, Networking, Feedback, New Markets and Integration into the Industrial Internet of Things. - Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth:
The surrogate matrix methodology: Accelerating isogeometric analysis of waves. - Imène R. Goumiri, Benjamin W. Priest, Michael D. Schneider:
Reinforcement Learning via Gaussian Processes with Neural Network Dual Kernels. - Marvin Eisenberger, Daniel Cremers:
Hamiltonian Dynamics for Real-World Shape Interpolation. - Christoforos I. Mavrogiannis, Jonathan A. DeCastro, Siddhartha S. Srinivasa:
Implicit Multi-Agent Coordination at Unsignalized Intersections via Topological Inference. - Abhishek Ninad Kulkarni, Huan Luo, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Deceptive Labeling: Hypergames on Graphs for Stealthy Deception. - Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, José García Rodríguez, Antonis A. Argyros:
A Review on Deep Learning Techniques for Video Prediction. - Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan:
Joint translation and unit conversion for end-to-end localization. - Younes Abdi, Tapani Ristaniemi:
Modeling and Mitigating Errors in Belief Propagation for Distributed Detection. - Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Dongpu Cao:
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review. - Mohamed Chaabane, Lionel Gueguen, Ameni Trabelsi, J. Ross Beveridge, Stephen O'Hara:
End-to-end Learning Improves Static Object Geo-localization in Monocular Video. - Gang Yao, Ryan Saltus, Ashwin Dani:
Shape Estimation for Elongated Deformable Object using B-spline Chained Multiple Random Matrices Model. - Sam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray:
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. - Jeremy Hartmann, Hemant Bhaskar Surale, Aakar Gupta, Daniel Vogel:
Using Conformity to Probe Interaction Challenges in XR Collaboration. - Da Li, Michael P. Lamoureux, Wenyuan Liao:
Full waveform inversion with unbalanced optimal transport distance. - Sergii Kivva:
Flux-corrected transport for scalar hyperbolic conservation laws and convection-diffusion equations by using linear programming. - Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras:
Time-Informed Exploration For Robot Motion Planning. - Tixiao Shan, Jinkun Wang, Fanfei Chen, Paul Szenher, Brendan J. Englot:
Simulation-based Lidar Super-resolution for Ground Vehicles. - Maciej Skorski:
Efficient Sampled Softmax for Tensorflow. - Bryson Lingenfelter, Arunava Nag, Floris van Breugel:
FLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging. - Alan T. Sherman, Geoffrey L. Herman, Linda Oliva, Peter A. H. Peterson, Enis Golaszewski, Seth Poulsen, Travis Scheponik, Akshita Gorti:
Experiences and Lessons Learned Creating and Validating Concept Inventories for Cybersecurity. - Gareth Ari Aye, Gail E. Kaiser:
Sequence Model Design for Code Completion in the Modern IDE. - Arvin Hekmati, Gowri Sankar Ramachandran, Bhaskar Krishnamachari:
CONTAIN: Privacy-oriented Contact Tracing Protocols for Epidemics. - Rikima Mitsuhashi, Takahiro Shinagawa:
High-Accuracy Malware Classification with a Malware-Optimized Deep Learning Model. - Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. - Mark Sokolov, Kehinde Olufowobi, Nic Herndon:
Visual Spoofing in content based spam detection. - Ben Goertzel:
What Kind of Programming Language Best Suits Integrative AGI? - Ben Goertzel:
Combinatorial Decision Dags: A Natural Computational Model for General Intelligence. - Ben Goertzel:
Grounding Occam's Razor in a Formal Theory of Simplicity. - Richard Cheng, Mohammad Javad Khojasteh, Aaron D. Ames, Joel W. Burdick:
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties. - Yeji Shen, C.-C. Jay Kuo:
Multi-View Matching (MVM): Facilitating Multi-Person 3D Pose Estimation Learning with Action-Frozen People Video. - Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann:
On Error Correction Neural Networks for Economic Forecasting. - Haijian Sun, Qun Wang, Xiang Ma, Yongjun Xu, Rose Qingyang Hu:
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement. - Yingqi Gu, Mingming Liu:
A Fair and Privacy-Aware EV Discharging Strategy using Decentralized Whale Optimization Algorithm. - Kunyuan Du, Ya Zhang, Haibing Guan:
From Quantized DNNs to Quantizable DNNs. - Mustafa Sagir, Said Varlioglu:
Explaining the Relationship between Internet and Democracy in Partly Free Countries Using Machine Learning Models. - Cole Comfort:
The ZX& calculus: A complete graphical calculus for classical circuits using spiders. 60-90 - Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos:
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey. - Max Revay, Ruigang Wang, Ian R. Manchester:
Convex Sets of Robust Recurrent Neural Networks. - Siddhartha Sahu, Semih Salihoglu:
Graphsurge: Graph Analytics on View Collections Using Differential Computation. - An Xu, Zhouyuan Huo, Heng Huang:
Exploit Where Optimizer Explores via Residuals. - Wenbo Li, Ricardo H. Nochetto:
Quantitative Stability and Error Estimates for Optimal Transport Plans. - Athira Subhash, Sheetal Kalyani:
Cooperative relaying with energy harvesting relays : Asymptotic analysis using extreme value theory for non-identically distributed RVs. - Ziwei Liao, Wei Wang, Xianyu Qi, Xiaoyu Zhang, Lin Xue, Jianzhen Jiao, Ran Wei:
Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments. - Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, Chen Change Loy:
Inter-Region Affinity Distillation for Road Marking Segmentation. - Kazuya Tsuruta, Dominik Köppl, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Grammar-compressed Self-index with Lyndon Words. - Xu Dong, Pengluo Wang, Pengyue Zhang, Langechuan Liu:
Probabilistic Oriented Object Detection in Automotive Radar. - Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. - Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Paria Jamshid Lou, Mark Johnson:
Improving Disfluency Detection by Self-Training a Self-Attentive Model. - Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova:
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos. - Javad PourMostafa Roshan Sharami, Parsa Abbasi Sarabestani, Seyed Abolghasem Mirroshandel:
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus. - Adrian Santos, Sira Vegas, Markku Oivo, Natalia Juristo:
A Procedure and Guidelines for Analyzing Groups of Software Engineering Replications. - Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. - Adrian Santos, Sira Vegas, Fernando Uyaguari Uyaguari, Oscar Dieste, Burak Turhan, Natalia Juristo:
Increasing Validity Through Replication: An Illustrative TDD Case. - Cheng Wang, Kang Wei, Lingjun Kong, Long Shi, Zhen Mei, Jun Li, Kui Cai:
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length. - José A. Carrillo, Manuel J. Castro, Serafim Kalliadasis, Sergio P. Perez:
High-order well-balanced finite volume schemes for hydrodynamic equations with nonlocal free energy. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring. - Yifan Lei, Qiang Huang, Mohan S. Kankanhalli, Anthony K. H. Tung:
Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring. - Jiahuan Wang, Pingzhi Fan, Zhengchun Zhou, Yang Yang:
Quasi-Orthogonal Z-Complementary Pairs and Its Applications in Fully Polarimetric Radar Systems. - Sung-A. Jang, Benjamin L'Huillier:
Rediscovering Korea's Ancient Skies: An Immersive, Interactive 3D Map of Traditional Korean Constellations in the Milky Way. - Zhi Gu, Zhengchun Zhou, Qi Wang, Pingzhi Fan:
New Construction of Optimal Type-II Binary Z-Complementary Pairs. - Hyunjae Kim, Yookyung Koh, Jinheon Baek, Jaewoo Kang:
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests. - John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers:
WES: Agent-based User Interaction Simulation on Real Infrastructure. - Len Du:
In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL. - Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka:
A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. - Surabhi Gupta, Sanket Purandare, Karthik Ramachandra:
Optimizing Cursor Loops in Relational Databases. - Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. - Sebastian Feld, Andreas Sedlmeier, Markus Friedrich, Jan Franz, Lenz Belzner:
Bayesian Surprise in Indoor Environments. - Sebastian Feld, Steffen Illium, Andreas Sedlmeier, Lenz Belzner:
Trajectory annotation using sequences of spatial perception. - Mahdi Nangir, Jafar Pourrostam, Javad Musevi Niya, Behzad Mozaffari Tazehkand:
Comparison Between the Joint and Successive Decoding Schemes for the Binary CEO Problem. - Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. - Dieter Spreen:
Computing with Continuous Objects: A Uniform Co-inductive Approach. - Fatemah S. Behbehani, Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Optimized Distributed Processing in a Vehicular Cloud Architecture. - Jurriaan Rot, Bart Jacobs, Paul Blain Levy:
Steps and Traces. - Xingkang He, Xiaoqiang Ren, Henrik Sandberg, Karl Henrik Johansson:
How to Secure Distributed Filters Under Sensor Attacks? - Kristofer G. Reyes, Warren B. Powell:
Optimal Learning for Sequential Decisions in Laboratory Experimentation. - Nazatul Haque Sultan, Vijay Varadharajan, Lan Zhou, Ferdous Ahmed Barbhuiya:
A Role-Based Encryption Scheme for Securing Outsourced Cloud Data in a Multi-Organization Context. - Ioannis Krikidis:
Information-Energy Capacity Region for SWIPT Systems with Power Amplifier Nonlinearity. - Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond, Stéphane Bressan:
Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences. - Aunn Raza, Periklis Chrysogelos, Angelos-Christos G. Anadiotis, Anastasia Ailamaki:
Adaptive HTAP through Elastic Resource Scheduling. - Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction. - Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey:
Meta-Learning in Neural Networks: A Survey. - Achal Bassamboo, Vikas Deep, Sandeep Juneja, Assaf Zeevi:
Discriminative Learning via Adaptive Questioning. - Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar:
Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. - Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. - Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh:
Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days. - Yijiang Liu, Meishan Zhang, Donghong Ji:
End to End Chinese Lexical Fusion Recognition with Sememe Knowledge. - Keigo Nakamura, Yoshiro Suzuki:
Deep learning-based topological optimization for representing a user-specified design area. - Iordanis Fostiropoulos:
Depthwise Discrete Representation Learning. - Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Robust Large-Margin Learning in Hyperbolic Space. - Conor Lazarou:
Autoencoding Generative Adversarial Networks. - Pablo Lanillos, Jordi Pagès, Gordon Cheng:
Robot self/other distinction: active inference meets neural networks learning in a mirror. - Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada:
Classifying Constructive Comments. - Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich:
Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok. - Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. - Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, Yinfei Yang:
LAReQA: Language-agnostic answer retrieval from a multilingual pool. - Ashis Pati, Alexander Lerch:
Attribute-based Regularization of VAE Latent Spaces. - Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. - Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni:
Deep Reinforcement Learning for Process Control: A Primer for Beginners. - Arturs Backurs, Sariel Har-Peled:
Submodular Clustering in Low Dimensions. - Yanchao Yang, Yutong Chen, Stefano Soatto:
Learning to Manipulate Individual Objects in an Image. - Yanchao Yang, Stefano Soatto:
FDA: Fourier Domain Adaptation for Semantic Segmentation. - Naveed Haghani, Claudio Contardo, Julian Yarkony:
Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing. - Chunyan Mu:
Analysing Flow Security Properties in Virtualised Computing Systems. - Babak Naderi, Sebastian Möller:
Application of Just-Noticeable Difference in Quality as Environment Suitability Test for Crowdsourcing Speech Quality Assessment Task. - Hao Wu, Hui Tian, Shaoshuai Fan, Jiazhi Ren:
Data Age Aware Scheduling for Wireless Powered Mobile-Edge Computing in Industrial Internet of Things. - Ameni Trabelsi, Mohamed Chaabane, Nathaniel Blanchard, J. Ross Beveridge:
A Novel Pose Proposal Network and Refinement Pipeline for Better Object Pose Estimation. - Mahamadou Kante, Euloge François Kouame, Macire Kante:
Towards the B-TAMBiT: A Back-Translation with an Adjudicator with Mono and Bilingual Tests. - Hoang-Dung Tran, Stanley Bak, Weiming Xiang, Taylor T. Johnson:
Verification of Deep Convolutional Neural Networks Using ImageStars. - Lisa Torrey:
Reinforcement Learning via Reasoning from Demonstration. - Kelly Marchisio, Kevin Duh, Philipp Koehn:
When Does Unsupervised Machine Translation Work? - Oksana Dolmatova, Nikolaus Augsten, Michael H. Böhlen:
A Relational Matrix Algebra and its Implementation in a Column Store. - Fei Wen, Mian Qin, Paul Gratz, A. L. Narasimha Reddy:
Hardware Memory Management for Future Mobile Hybrid Memory Systems. - Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson:
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems. - Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan:
Density Map Guided Object Detection in Aerial Images. - Mingjie Wei, Weisheng Liu, Hengxu Zhang, Fang Shi, Weijiang Chen:
Distortion-Based Detection of High Impedance Fault in Distribution Systems. - Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin:
DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things. - David Domingo, Kyle Stratton, Sudarsun Kannan:
Accelerating Filesystem Checking and Repair with pFSCK. - Ethan Weber, Hassan Kané:
Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion. - Mingwang Zhao:
Analytical Expression and Deconstruction of the Volume of the Controllability Ellipsoid. - Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. - Mingwang Zhao:
Exact Volume of Zonotopes Generated by a Matrix Pair. - Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang:
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. - Weibo Huang, Hong Liu, Weiwei Wan:
Online Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry. - Xuejia Sang, Linfu Xue, Xiaopeng Leng, Xiaoshun Li, Jianping Zhou:
Using Photo Modeling Based 3DGRSL to Promote the Sustainability of Geo-Education, a case study from China. - Kai Zhu, Wei Zhai, Zheng-Jun Zha, Yang Cao:
Self-Supervised Tuning for Few-Shot Segmentation. - Yan Zhang, Jiayi Zhang, Liang Yang, Bo Ai, Mohamed-Slim Alouini:
On the Performance of Dual-Hop Systems over Mixed FSO/mmWave Fading Channels. - Minyoung Chung, Jusang Lee, Sanguk Park, Minkyung Lee, Chae-Eun Lee, Jeongjin Lee, Yeong-Gil Shin:
Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization. - Ke Chen, Adrian Dumitrescu:
Multiparty Selection. - Jianxiong Guo, Weili Wu:
Continuous Profit Maximization: A Study of Unconstrained Dr-submodular Maximization. - Zhun Zhong, Linchao Zhu, Zhiming Luo, Shaozi Li, Yi Yang, Nicu Sebe:
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World. - Bishal Santra, Prakhar Sharma, Sumegh Roychowdhury, Pawan Goyal:
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion. - Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh:
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations. - Feng Xue, Guirong Zhuo, Ziyuan Huang, Wufei Fu, Zhuoyue Wu, Marcelo H. Ang Jr.:
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications. - Pasin Manurangsi, Warut Suksompong:
Closing Gaps in Asymptotic Fair Division. - Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. - Jordi Feliu-Fabà, Lexing Ying:
Hierarchical Interpolative Factorization Preconditioner for Parabolic Equations. - Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. - Veronica Latcinnik, Jonathan Berant:
Explaining Question Answering Models through Text Generation. - Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen:
Cross-domain Correspondence Learning for Exemplar-based Image Translation. - Deng Cai, Wai Lam:
AMR Parsing via Graph-Sequence Iterative Inference. - Shizhe Chen, Weiying Wang, Ludan Ruan, Linli Yao, Qin Jin:
YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos. - Ali Shahin Shamsabadi, Adrià Gascón, Hamed Haddadi, Andrea Cavallaro:
PrivEdge: From Local to Distributed Private Training and Prediction. - Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan:
Image Co-skeletonization via Co-segmentation. - David Levin:
Reconstruction of piecewise-smooth multivariate functions from Fourier data. - Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. - Muhammad Umer Gurchani:
Who are Political Retweeters?, Demographic comparison of political retweeters with retweeters of non-political personalities. - Jithin Cheriyan, Bastin Tony Roy Savarimuthu, Stephen Cranefield:
Norm violation in online communities - A study of Stack Overflow comments. - Bowen Shi, Ke Xu, Jichang Zhao:
Behavior variations and their implications for popularity promotions: From elites to mass in Weibo. - Kento Terao, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shun'ichi Satoh:
Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions. - Chris J. Mitchell:
How not to secure wireless sensor networks: A plethora of insecure polynomial-based key pre-distribution schemes. - Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko:
Regret Bounds for Kernel-Based Reinforcement Learning. - Saeed Shafiee Sabet, Steven Schmidt, Saman Zadtootaghaj, Carsten Griwodz, Sebastian Möller:
Delay Sensitivity Classification of Cloud Gaming Content. - Lei Li, Jian-Guo Liu, Yijia Tang:
A direct simulation approach for the Poisson-Boltzmann equation using the Random Batch Method. - Bharat Pariyar, Raju Wagle:
Mathematical Modeling of Isolated Wind-Diesel-Solar Photo Voltaic Hybrid Power System for Load Frequency Control. - Rogan Morrow, Wei-Chen Chiu:
Variational Autoencoders with Normalizing Flow Decoders. - Mingwang Zhao:
Relations among Open-loop Control Ability, Control Strategy Space and Closed-loop Performance for Linear Discrte-time Systems. - Reena Nair, Tony Field:
GAPP: A Fast Profiler for Detecting Serialization Bottlenecks in Parallel Linux Applications. - Fatemeh Panjeh Ali Beik, Alaa El Ichi, Khalide Jbilou, Rachid Sadaka:
Tensor extrapolation methods with applications. - Masoud Salehpour, Joseph G. Davis:
A Comparative Analysis of Knowledge Graph Query Performance. - Péter Várnai, Dimos V. Dimarogonas:
Guided Policy Improvement for Satisfying STL Tasks using Funnel Adaptation. - Charles Hartsell, Nagabhushan Mahadevan, Harmon Nine, Ted Bapty, Abhishek Dubey, Gabor Karsai:
Workflow Automation for Cyber Physical System Development Processes. - (Withdrawn) Convergence of a series associated with the convexification method for coefficient inverse problems.
- Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos:
Minimizing FLOPs to Learn Efficient Sparse Representations. - Flavia Bonomo-Braberman, Julliano R. Nascimento, Fabiano de S. Oliveira, Uéverton S. Souza, Jayme Luiz Szwarcfiter:
Linear-time Algorithms for Eliminating Claws in Graphs. - Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta:
A Non-Parametric Test to Detect Data-Copying in Generative Models. - Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang:
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. - Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. - Raj Kishore, Prashant Kumar Jha, Shreeja Das, Dheeresh Agarwal, Tanmay Maloo, Hansraj Pegu, Devadatta Sahoo, Ankita Singhal, Kisor K. Sahu:
A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus. - Mertcan Cokbas, Prakash Ishwar, Janusz Konrad:
Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation. - Subhabrata Mukherjee, Ahmed Hassan Awadallah:
TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER. - Antti Koskela, Samuel D. Relton:
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions. - Gershom Bazerman, Raymond Puzio:
The Topological and Logical Structure of Concurrency and Dependency via Distributive Lattices. - Aliaksei Mikhailiuk, Clifford Wilmot, María Pérez-Ortiz, Dingcheng Yue, Rafal Mantiuk:
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization. - Panagiotis Sidiropoulos:
Measuring spatial uniformity with the hypersphere chord length distribution. - Ao Liu, Guangquan Xu, Dexiang Zhou, Xi Zheng, Jianting Ning, Rui Wang, Hao Wang, Hong-Ning Dai, Xiaojiang Du:
SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space. - Husam Suleiman, Otman Basir:
QoS-Driven Job Scheduling: Multi-Tier Dependency Considerations. - Husam Suleiman, Otman Basir:
Service Level Driven Job Scheduling in Multi-Tier Cloud Computing: A Biologically Inspired Approach. - Henry Phalen, Prasad Vagdargi, Mariah L. Schrum, Sumana Chakravarty, Amanda Canezin, Michael Pozin, Suat Coemert, Iulian Iordachita, Stephen L. Hoffman, Gregory S. Chirikjian, Russell H. Taylor:
A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production. - Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi:
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
A negative case analysis of visual grounding methods for VQA. - Cristiano Politowski, Fábio Petrillo, João Eduardo Montandon, Marco Túlio Valente, Yann-Gaël Guéhéneuc:
Are Game Engines Software Frameworks? A Three-perspective Study. - Jin-Yi Cai, Zhiguo Fu, Shuai Shao:
From Holant to Quantum Entanglement and Back. - Zhibin Lu, Pan Du, Jian-Yun Nie:
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification. - Peter Marbach:
Community Structures in Information Networks for a Discrete Agent Population. - Chiranjeeb Buragohain, Knut Magne Risvik, Paul Brett, Miguel Castro, Wonhee Cho, Joshua Cowhig, Nikolas Gloy, Karthik Kalyanaraman, Richendra Khanna, John Pao, Matthew Renzelmann, Alex Shamis, Timothy Tan, Shuheng Zheng:
A1: A Distributed In-Memory Graph Database. - Juan Castorena, Manish Bhattarai, Diane Oyen:
Learning Spatial Relationships between Samples of Patent Image Shapes. - Zhi Liu, Yan Huang, Jing Gao, Li Chen, Dong Li:
Large-scale Real-time Personalized Similar Product Recommendations. - Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic:
Principal Neighbourhood Aggregation for Graph Nets. - Chun Jiang Zhu, Song Han, Kam-yiu Lam:
A Fast Algorithm for Source-Wise Round-Trip Spanners. - Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang:
Complaint-driven Training Data Debugging for Query 2.0. - Zhe Zhang, Brian Bockelman, Derek Weitzel, Xinkai Zhang, Hamid Vakilzadian, David Swanson:
Trua: Efficient Task Replication for Flexible User-defined Availability in Scientific Grids. - Md Shahzamal, Raja Jurdak, Bernard Mans, Frank de Hoog, Dean Paini:
Vaccination strategies on dynamic networks with indirect transmission links and limited contact information. - Zhe Zhang, Brian Bockelman, Derek Weitzel, David Swanson:
Exploring Erasure Coding Techniques for High Availability of Intermediate Data. - Benjamin Doerr:
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics. - Mingmou Liu, Huacheng Yu:
Lower Bound for Succinct Range Minimum Query. - Anirban Bhattacharjee, Ajay Dev Chhokra, Hongyang Sun, Shashank Shekhar, Aniruddha Gokhale, Gabor Karsai, Abhishek Dubey:
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge. - Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. - DongHyun Choi, IlNam Park, Myeongcheol Shin, EungGyun Kim, Dong Ryeol Shin:
Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots. - Hongruixuan Chen, Chen Wu, Bo Du, Liangpei Zhang:
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images. - Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. - Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta:
Energy Shaping Control of a CyberOctopus Soft Arm. - Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian:
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences. - Bahram Kalhor, Mohammad Reza Ghane, Alireza Nikravanshalmani:
Approximating percentage of academic traffic in the World Wide Web and rankings of countries based on academic traffic. - Yufei Tian, Jianfei Yu, Jing Jiang:
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. - Masayuki Yano, Tianci Huang, Matthew J. Zahr:
A globally convergent method to accelerate topology optimization using on-the-fly model reduction. - Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. - Zhiheng Xu, Daniel Jun Xian Ng, Arvind Easwaran:
Automatic Generation of Hierarchical Contracts for Resilience in Cyber-Physical Systems. - Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. - Kaijie Xu, Witold Pedrycz, Zhiwu Li:
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector. - Yijun Xu, Kiran Karra, Lamine Mili, Mert Korkali, Xiao Chen, Zhixiong Hu:
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation. - Liang Wu, Zaichen Zhang, Jian Dang, Yongpeng Wu, Huaping Liu, Jiangzhou Wang:
Joint User Identification and Channel Estimation Over Rician Fading Channels. - Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. - Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. - Sambit Dash:
Load Frequency Control of Solar PV and Solar Thermal Integrated Micro grid using Narma-L2 Controller. - Anirban Ghose, Srijeeta Maity, Arijit Kar, Kaustubh Maloo, Soumyajit Dey:
Intelligent Orchestration of ADAS Pipelines on Next Generation Automotive Platforms. - Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang:
Learning under Concept Drift: A Review. - Yaoyao Zhong, Weihong Deng:
Towards Transferable Adversarial Attack against Deep Face Recognition. - Bharath Shamasundar, A. Chockalingam:
Constellation Design for Media-based Modulation using Block Codes and Squaring Construction. - Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma:
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation. - Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. Ren, Jiancheng Lv, Yebin Liu:
Learning Event-Based Motion Deblurring. - Zhaowei Cai, Nuno Vasconcelos:
Rethinking Differentiable Search for Mixed-Precision Neural Networks. - Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva:
ProFormer: Towards On-Device LSH Projection Based Transformers. - Hans van Ditmarsch:
Quantifying Notes Revisited. - Dongjun Kim, Weonyoung Joo, Seungjae Shin, Il-Chul Moon:
Adversarial Likelihood-Free Inference on Black-Box Generator. - Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao:
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. - Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu, Xuanjing Huang:
Unified Multi-Criteria Chinese Word Segmentation with BERT. - Jiajun Zhang, Chengqing Zong:
Neural Machine Translation: Challenges, Progress and Future. - Anjin Liu, Jie Lu, Guangquan Zhang:
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. - Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen:
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning. - Somnath Chakraborty, Hariharan Narayanan:
Learning Mixtures of Spherical Gaussians via Fourier Analysis. - Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu:
MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera. - Hyunwoo Kim, Byeongchang Kim, Gunhee Kim:
Public Self-consciousness for Endowing Dialogue Agents with Consistent Persona. - Oscar Delgado-Mohatar, Ruben Tolosana, Julian Fiérrez, Aythami Morales:
Blockchain in the Internet of Things: Architectures and Implementation. - Robert McCraith, Lukás Neumann, Andrew Zisserman, Andrea Vedaldi:
Monocular Depth Estimation with Self-supervised Instance Adaptation. - Marco De Nadai, Yanyan Xu, Emmanuel Letouzé, Marta C. González, Bruno Lepri:
Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities. - Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tür:
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap. - Ziqing Ma, Shuming Liu, Guancheng Guo, Xipeng Yu:
Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems. - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu:
SPCNet: Spatial Preserve and Content-aware Network for Human Pose Estimation. - Rodolfo Miranda Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos Nascimento Silla Jr., Yandre M. G. Costa:
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios. - Christian Marzahl, Christof A. Bertram, Marc Aubreville, Anne Petrick, Kristina Weiler, Agnes C. Gläsel, Marco Fragoso, Sophie Merz, Florian Bartenschlager, Judith Hoppe, Alina Langenhagen, Anne-Katherine Jasensky, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier:
Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides. - Marco C. Campi, Simone Garatti:
Scenario optimization with relaxation: a new tool for design and application to machine learning problems. - Isht Dwivedi, Srikanth Malla, Behzad Dariush, Chiho Choi:
SSP: Single Shot Future Trajectory Prediction. - Sebastian Baltes, George Park, Alexander Serebrenik:
Is 40 the new 60? How popular media portrays the employability of older software developers. - Yanghong Liu, Jia Lu, Tingting Li:
MLPSVM: A new parallel support vector machine to multi-label learning. - Vittorio Cortellessa, Luca Traini:
Detecting Latency Degradation Patterns in Service-based Systems. - Eugene Goldberg:
Generation Of A Complete Set Of Properties. - Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-Learning via Gradient Dropout. - Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed:
ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks. - Viresh Gupta, Aayush Aggarwal, Tanmoy Chakraborty:
Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews. - Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. - Amir Javadpour, Guojun Wang, Samira Rezaei, Kuan-Ching Li:
Detecting Straggler MapReduce Tasks in Big Data Processing Infrastructure by Neural Network. - Lucas R. de Oliveira, Poliana de Moraes, Lauro P. S. Neto, Arlindo F. da Conceição:
Review of LoRaWAN Applications. - Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster:
Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing. - Argyrios Deligkas, Igor Potapov:
Optimizing Reachability Sets in Temporal Graphs by Delaying. - Fernando Almeida:
Bibliometric Analysis of Agile Software Development. - Anastasia Kovalkov, Avi Segal, Kobi Gal:
In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments. - Shanta Khatun, Fahim Hossain Saiki, Milon Biswas:
SecureIT using Firebase, Google map and Node.Js. - Anil Maheshwari, Wolfgang Mulzer, Michiel H. M. Smid:
A Simple Randomized O(n log n)-Time Closest-Pair Algorithm in Doubling Metrics. - Dongxian Wu, Yisen Wang, Shutao Xia:
Revisiting Loss Landscape for Adversarial Robustness. - Sao Mai Nguyen, Nathalie Collot-Lavenne, Christophe Lohr, Sébastien Guillon, Patricio Tula, Alvaro Paez, Mouad Bouaida, Arthus Anin, Saad El Qacemi:
An implementation of an imitation game with ASD children to learn nursery rhymes. - Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. - Yash Akhauri:
Exposing Hardware Building Blocks to Machine Learning Frameworks. - Jinhyuk Yun, Sejung Ahn, June Young Lee:
Return to basics: Clustering of scientific literature using structural information. - Xinhui Song, Tianyang Shi, Tianjia Shao, Yi Yuan, Zunlei Feng, Changjie Fan:
Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization. - Tao Zhang:
k-decay: A New Method For Learning Rate Schedule. - Meiyu Huang, Xueshuang Xiang, Yao Xu:
Training few-shot classification via the perspective of minibatch and pretraining. - Xuejiao Liu, Yao Xu, Xueshuang Xiang:
Towards GANs' Approximation Ability. - Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu:
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness. - Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong:
Blind Adversarial Training: Balance Accuracy and Robustness. - Navid Khoshavi, Connor Broyles, Yu Bi:
A Survey on Impact of Transient Faults on BNN Inference Accelerators. - Damian Pascual, Gino Brunner, Roger Wattenhofer:
Telling BERT's full story: from Local Attention to Global Aggregation. - Tatiana Urazaeva:
Game-theoretic applications of a relational risk model. - Nader H. Bshouty:
Lecture Note on LCSSX's Lower Bounds for Non-Adaptive Distribution-free Property Testing. - Francesco Conti:
Technical Report: NEMO DNN Quantization for Deployment Model. - Enrique Fynn, Alysson Bessani, Fernando Pedone:
Smart Contracts on the Move. - Muhammad Numair Mansur, Maria Christakis, Valentin Wüstholz, Fuyuan Zhang:
Detecting Critical Bugs in SMT Solvers Using Blackbox Mutational Fuzzing. - Suman Banerjee, Bithika Pal:
First Stretch then Shrink and Bulk: A Two Phase Approach for Enumeration of Maximal $(Δ, γ)$\mbox{-}Cliques of a Temporal Network. - Lin Wang, Kuk-Jin Yoon:
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks. - Stefan Felsner, Hendrik Schrezenmaier, Raphael Steiner:
Pentagon contact representations. - Patrick Cégielski, Serge Grigorieff, Irène Guessarian:
Congruence Preservation, Lattices and Recognizability. - Therese Biedl, Pavle Bulatovic, Veronika Irvine, Anna Lubiw, Owen D. Merkel, Anurag Murty Naredla:
Reconstructing a Polyhedron between Polygons in Parallel Slices. - Fuat Basik, Hakan Ferhatosmanoglu, Bugra Gedik:
SLIM: Scalable Linkage of Mobility Data. - Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey B. Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang:
Software-Defined Network for End-to-end Networked Science at the Exascale. - Felix Happach, Lisa Hellerstein, Thomas Lidbetter:
A General Framework for Approximating Min Sum Ordering Problems. - Rizk Masoud Rizk-Allah, Aboul Ella Hassanien:
COVID-19 forecasting based on an improved interior search algorithm and multi-layer feed forward neural network. - Akhil Bhimaraju, Debanuj Nayak, Rahul Vaze:
Non-clairvoyant Scheduling of Coflows. - Orestis Zachariadis, Andrea Teatini, Nitin Satpute, Juan Gómez-Luna, Onur Mutlu, Ole Jakob Elle, Joaquín Olivares:
Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration. - Shusei Eshima, Kosuke Imai, Tomoya Sasaki:
Keyword Assisted Topic Models. - Ola Shorinwa, Javier Yu, Trevor Halsted, Alex Koufos, Mac Schwager:
Distributed Multi-Target Tracking for Autonomous Vehicle Fleets. - Sibo Zhang, Yuexin Ma, Ruigang Yang, Xin Li, Yanliang Zhu, Deheng Qian, Zetong Yang, Wenjing Zhang, Yuanpei Liu:
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception. - Mustafa Cemil Coskun, Joachim Neu, Henry D. Pfister:
Successive Cancellation Inactivation Decoding for Modified Reed-Muller and eBCH Codes. - Zhe Cui, Jianjiang Feng, Jie Zhou:
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network. - Shreya Ghosh, Abhinav Dhall, Garima Sharma, Sarthak Gupta, Nicu Sebe:
Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset. - Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. - (Withdrawn) A Digital Ecosystem for Animal Movement Science: Making animal movement datasets, data-linkage techniques, methods, and environmental layers easier to find, interpret, and analyze.
- Timothy Jeruzalski, David I. W. Levin, Alec Jacobson, Paul Lalonde, Mohammad Norouzi, Andrea Tagliasacchi:
NiLBS: Neural Inverse Linear Blend Skinning. - Lukasz Augustyniak, Piotr Szymanski, Mikolaj Morzy, Piotr Zelasko, Adrian Szymczak, Jan Mizgajski, Yishay Carmiel, Najim Dehak:
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? - Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. - Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher:
Controllable Variational Autoencoder. - Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
A Simple Approach to Learning Unsupervised Multilingual Embeddings. - Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai:
A Survey of Single-Scene Video Anomaly Detection. - Stanislaw J. Purgal:
Improving Expressivity of Graph Neural Networks. - Xi Yang, Chao-Kai Wen, Shi Jin:
MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems. - Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen:
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training. - Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai:
Energy-Aware Stochastic UAV-Assisted Surveillance. - Yael Vinker, Nir Zabari, Yedid Hoshen:
Training End-to-end Single Image Generators without GANs. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks. - Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi:
Learning from Rules Generalizing Labeled Exemplars. - Yilun Du, Shuang Li, Igor Mordatch:
Compositional Visual Generation and Inference with Energy Based Models. - Johan Chrisnata, Han Mao Kiah, Eitan Yaakobi:
Optimal Reconstruction Codes for Deletion Channels. - Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis, Viktor Zamaraev:
Exact and Approximate Algorithms for Computing a Second Hamiltonian Cycle. - Ciro Javier Diaz Penedo, Lucas Leonardo Silveira Costa:
Prediction of properties of steel alloys. - Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang:
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation. - Arianne Meijer-van de Griend, Ross Duncan:
Architecture-Aware Synthesis of Phase Polynomials for NISQ Devices. 116-140 - Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. - Spencer Valancius, Edward Richter, Ruben Purdy, Kris Rockowitz, Michael Inouye, Joshua Mack, Nirmal Kumbhare, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu:
FPGA Based Emulation Environment for Neuromorphic Architectures. - Markus Freitag, David Grangier, Isaac Caswell:
BLEU might be Guilty but References are not Innocent. - Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst:
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0. - Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. - Marouane Hachimi, Georges Kaddoum, Ghyslain Gagnon, Poulmanogo Illy:
Multi-stage Jamming Attacks Detection using Deep Learning Combined with Kernelized Support Vector Machine in 5G Cloud Radio Access Networks. - Nicolas Six, Nicolas Herbaut, Camille Salinesi:
Which Blockchain to choose? A decision support tool to guide the choice of a Blockchain technology. - Mohamed Torky, Aboul Ella Hassanien:
COVID-19 Blockchain Framework: Innovative Approach. - Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog:
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. - Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus:
Selective Encoding Policies for Maximizing Information Freshness. - Chainarong Amornbunchornvej:
mFLICA: An R package for Inferring Leadership of Coordination From Time Series. - Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim:
Topology of deep neural networks. - Arman Kazemi, Cristobal Alessandri, Alan C. Seabaugh, Xiaobo Sharon Hu, Michael T. Niemier, Siddharth Joshi:
A Device Non-Ideality Resilient Approach for Mapping Neural Networks to Crossbar Arrays. - Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song:
Pretrained Transformers Improve Out-of-Distribution Robustness. - Rundong Li, Wolfgang Gatterbauer, Mirek Riedewald:
Near-Optimal Distributed Band-Joins through Recursive Partitioning. - Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. - S. Bai:
An agent-based negotiation model and its implementation in Repast. - Sandip Das, Marco Ruffini:
PON Virtualisation with EAST-WEST Communications for Low-Latency Converged Multi-Access Edge Computing (MEC). - CScott Brown:
Local Model Feature Transformations. - Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie:
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification. - Enkhtogtokh Togootogtokh, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks. - Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. - Ashish Goel, Geoffrey Ramseyer:
Continuous Credit Networks and Layer 2 Blockchains: Monotonicity and Sampling. - Cuihua Shen, Anfan Chen, Chen Luo, Wang Liao, Jingwen Zhang, Bo Feng:
Reports of Own and Others' Symptoms and Diagnosis on Social Media Predict COVID-19 Case Counts in Mainland China. - Udari Madhushani, Naomi Ehrich Leonard:
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments. - Kanav Vats, Mehrnaz Fani, Pascale Walters, David A. Clausi, John S. Zelek:
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions. - Ralf Lämmel, Alvin Kerber, Liane Praza:
Understanding What Software Engineers Are Working on - The Work-Item Prediction Challenge. - Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz:
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. - Erik Boetto, Maria Pia Fantini, Aldo Gangemi, Davide Golinelli, Manfredi Greco, Andrea Giovanni Nuzzolese, Valentina Presutti, Flavia Rallo:
Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19. - Neha Bhargava, Fabio Cuzzolin:
Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics. - Emilia Mendes, Claes Wohlin, Kátia Romero Felizardo, Marcos Kalinowski:
When to Update Systematic Literature Reviews in Software Engineering. - Will E. Hipson, Saif M. Mohammad:
PoKi: A Large Dataset of Poems by Children. - Alexios Gidiotis, Grigorios Tsoumakas:
A Divide-and-Conquer Approach to the Summarization of Academic Articles. - Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Relation Transformer Network. - Bhaskar Mitra, Suman Debnath, Badrul H. Chowdhury:
Fault Location Using the Natural Frequency of Oscillation of Current Discharge in MTdc Networks. - Mordechai Guri:
AiR-ViBeR: Exfiltrating Data from Air-Gapped Computers via Covert Surface ViBrAtIoNs. - Lisa Gaedke-Merzhäuser, Alena Kopanicáková, Rolf Krause:
Multilevel Minimization for Deep Residual Networks. - Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins:
Reverse Engineering Configurations of Neural Text Generation Models. - Masoud Salehpour, Joseph G. Davis:
Knowledge Graphs for Processing Scientific Data: Challenges and Prospects. - Hannah Lu, Daniel M. Tartakovsky:
Extended Dynamic Mode Decomposition for Inhomogeneous Problems. - Youssouf Chherawala, Hans J. G. A. Dolfing, Ryan S. Dixon, Jerome R. Bellegarda:
Embedded Large-Scale Handwritten Chinese Character Recognition. - (Withdrawn) Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning.
- Timothy Castiglia, Colin Goldberg, Stacy Patterson:
A Hierarchical Model for Fast Distributed Consensus in Dynamic Networks. - Hong Guan, Jianfu Li, Hua Xu, Murthy V. Devarakonda:
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction. - Ashwin Karthik Ambalavanan, Murthy V. Devarakonda:
Cascade Neural Ensemble for Identifying Scientifically Sound Articles. - João Saúde, Guilherme Ramos, Ludovico Boratto, Carlos Caleiro:
A Robust Reputation-based Group Ranking System and its Resistance to Bribery. - Shizhu Liu, Shanglin Yang, Hui Zhou:
Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation. - Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Power-Constrained Bandits. - Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani:
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. - Hadi Mardani Kamali, Kimia Zamiri Azar, Shervin Roshanisefat, Ashkan Vakil, Avesta Sasan:
ExTru: A Lightweight, Fast, and Secure Expirable Trust for the Internet of Things. - Hanyue Tu, Chunyu Wang, Wenjun Zeng:
End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras. - Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems. - Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric:
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization. - Aadirupa Saha, Pierre Gaillard, Michal Valko:
Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards. - Amirali Daghighi, Jim Q. Chen:
Robustness Comparison of Scheduling Algorithms in MapReduce Framework. - Lingxiao Huang, Nisheeth K. Vishnoi:
Coresets for Clustering in Euclidean Spaces: Importance Sampling is Nearly Optimal. - Zongkai Yang, Zhu Su, Sannyuya Liu, Zhi Liu, Wenxiang Ke, Liang Zhao:
Evolution Features and Behavior Characters of Friendship Networks on Campus Life. - Mertalp Ocal, Armin Mustafa:
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes. - Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification. - Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. - Yihui Han, Xiao-Ping Wang, Xiaoping Xie:
An interface/boundary-unfitted eXtended HDG method for linear elasticity problems. - Peter Vamplew, Cameron Foale, Richard Dazeley:
A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions. - Bernard Widynski:
Squares: A Fast Counter-Based RNG. - Hamed Tahmooresi, Abbas Heydarnoori, Alireza Aghamohammadi:
An Analysis of Python's Topics, Trends, and Technologies Through Mining Stack Overflow Discussions. - Dongrui Wu, Yifan Xu, Bao-Liang Lu:
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016. - Yeli Feng, Yiyu Cai:
Towards Robust Classification with Image Quality Assessment. - Behnaz Hassanshahi, Hyunjun Lee, Paddy Krishnan, Jörn Guy Süß:
Gelato: Feedback-driven and Guided Security Analysis of Client-side Web Applications. - Hao Fei, Meishan Zhang, Donghong Ji:
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus. - Thao Do, Yalew Tolcha, Tae Joon Jun, Daeyoung Kim:
Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding. - Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama:
Budget Learning via Bracketing. - Lam Duc Nguyen, Anders E. Kalør, Israel Leyva-Mayorga, Petar Popovski:
Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity. - Lam Duc Nguyen, Israel Leyva-Mayorga, Petar Popovski:
Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios. - Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky:
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. - Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz:
Quantifying Community Characteristics of Maternal Mortality Using Social Media. - Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang, Tao Mei:
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification. - Hanjia Lyu, Long Chen, Yu Wang, Jiebo Luo:
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19. - Pankaj K. Mishra, Leevan Ling, Xin Liu, Mrinal K. Sen:
Adaptive radial basis function generated finite-difference (RBF-FD) on non-uniform nodes using p-refinement. - Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi, Xavier Ricou, Rupesh Durgesh, Andrew S. Chung, Lorenz Hauswald, Viet Hoang Pham, Maximilian Mühlegg, Sebastian Dorn, Tiffany Fernandez, Martin Jänicke, Sudesh Mirashi, Chiragkumar Savani, Martin Sturm, Oleksandr Vorobiov, Martin Oelker, Sebastian Garreis, Peter Schuberth:
A2D2: Audi Autonomous Driving Dataset. - Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye:
Sequential Batch Learning in Finite-Action Linear Contextual Bandits. - Pablo Corbalán, Gian Pietro Picco:
Ultra-wideband Concurrent Ranging. - Zhaorong Zhang, Qianqian Cai, Minyue Fu:
Convergence Rate of a Message-passing Algorithm for Solving Linear Systems. - Hong Liu, Pinhao Song, Runwei Ding:
WQT and DG-YOLO: towards domain generalization in underwater object detection. - Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura:
Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise. - Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
Stochastic batch size for adaptive regularization in deep network optimization. - Michail Makridis, Konstantinos Mattas, Aikaterini Anesiadou, Biagio Ciuffo:
openACC. An open database of car-following experiments to study the properties of commercial ACC systems. - Youri Arkesteijn, Nikhil Saldanha, Bastijn Kostense:
Code Completion using Neural Attention and Byte Pair Encoding. - Yang Liu, Qingchen Liu, Xiong Zhang, Shuqi Qin, Xiaoping Lei:
Distributed Privacy Preserving Iterative Summation Protocols. - Wen Fang, Gang Wang, Georgios B. Giannakis, Qingwen Liu, Xin Wang, Hao Deng:
Channel-Dependent Scheduling in Wireless Energy Transfer for Mobile Devices. - Lu Yin, Vlado Menkovski, Mykola Pechenizkiy:
Knowledge Elicitation using Deep Metric Learning and Psychometric Testing. - Aleix Roca Nonell, Samuel Rodríguez, Albert Segura, Kevin Marquet, Vicenç Beltran:
A Linux Kernel Scheduler Extension for Multi-core Systems. - Matthias Sperber, Matthias Paulik:
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are. - Trung Quang Tran, Giang V. Nguyen, Daeyoung Kim:
Simple Multi-Resolution Representation Learning for Human Pose Estimation. - Yuui Tamura, Yuhei Nishiyama, Chenxi Wang, Yanming Sun, Aleksandar Shurbevski, Hiroshi Nagamochi, Tatsuya Akutsu:
Enumerating Chemical Graphs with Mono-block 2-Augmented Tree Structure from Given Upper and Lower Bounds on Path Frequencies. - Rutvij H. Jhaveri, Rui Tan, Arvind Easwaran, Sagar V. Ramani:
Managing Industrial Communication Delays with Software-Defined Networking. - Stefan Haller, Paul Swoboda, Bogdan Savchynskyy:
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. - Tuanfei Zhu, Yaping Lin, Yonghe Liu:
Oversampling for Imbalanced Time Series Data. - Kishan N. Patel, Rutvij H. Jhaveri:
Addressing Packet Dropping Misbehavior using Metaheuristic Approach: A Survey. - Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. - Jamie Watson, Michael Firman, Áron Monszpart, Gabriel J. Brostow:
Footprints and Free Space from a Single Color Image. - Priya R. Soni, Charmi A. Joshi, Dhwani R. Bhadra, Nikita P. Vyas, Rutvij H. Jhaveri:
Various Secure Routing Schemes for MANETs: A Survey. - Priya P. Patel, Rutvij H. Jhaveri:
A Survey of Energy Efficient Schemes in Ad-hoc Networks. - Yuqing Wang, Maaret Pyhäjärvi, Mika V. Mäntylä:
Test Automation Process Improvement in a DevOpsTeam: Experience Report. - Wei Wang, Shaodi You, Sezer Karaoglu, Theo Gevers:
Kinship Identification through Joint Learning Using Kinship Verification Ensemble. - Jon Vadillo, Roberto Santana, José Antonio Lozano:
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. - Shengbin Jia, Ling Ding, Xiaojun Chen, Yang Xiang:
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text. - Roman Matzutt, Jan Pennekamp, Erik Buchholz, Klaus Wehrle:
Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services. - Ashish Kumar Nandi, Jajati Keshari Sahoo:
Regularized Iterative Method for Ill-posed Linear Systems Based on Matrix Splitting. - Suraj Agrawal, Dwaipayan Roy, Mandar Mitra:
Tag Embedding Based Personalized Point Of Interest Recommendation System. - Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He:
Personalized Re-ranking for Improving Diversity in Live Recommender Systems. - Muhammad Shoaib, Ali Daud, Tehmina Amjad:
Author Name Disambiguation in Bibliographic Databases: A Survey. - Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks:
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. - Michal Król, Alberto Sonnino, Argyrios G. Tasiopoulos, Ioannis Psaras, Etienne Rivière:
PASTRAMI: Privacy-preserving, Auditable, Scalable & Trustworthy Auctions for Multiple Items. - Verena Häberle, Adrian Hauswirth, Lukas Ortmann, Saverio Bolognani, Florian Dörfler:
Non-convex Feedback Optimization with Input and Output Constraints. - Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. - Bert Abrath, Bart Coppens, Ilja Nevolin, Bjorn De Sutter:
Resilient Self-Debugging Software Protection. - Rob P. Stevenson, Raymond van Venetië:
Uniform preconditioners of linear complexity for problems of negative order. - Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu Sun:
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks. - Mohammad Sayad Haghighi, Faezeh Farivar:
A Machine Learning-based Approach to Build Zero False-Positive IPSs for Industrial IoT and CPS with a Case Study on Power Grids Security. - Zvonimir Bujanovic, Daniel Kressner:
Norm and trace estimation with random rank-one vectors. - Abishek Puri, Bon Kyung Ku, Yong Wang, Huamin Qu:
RankBooster: Visual Analysis of Ranking Predictions. - Yael Hitron, Merav Parter:
Round-Efficient Distributed Byzantine Computation. - Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun:
Query-Variant Advertisement Text Generation with Association Knowledge. - Xingqiu He, Sheng Wang:
Peer Offloading in Mobile Edge Computing with Worst-Case Response Time Guarantees. - Niel de Beaudrap, Aleks Kissinger, Konstantinos Meichanetzidis:
Tensor Network Rewriting Strategies for Satisfiability and Counting. 46-59 - Sai Saketh Aluru, Binny Mathew, Punyajoy Saha, Animesh Mukherjee:
Deep Learning Models for Multilingual Hate Speech Detection. - Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari:
Self6D: Self-Supervised Monocular 6D Object Pose Estimation. - Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. - Sara N. Pollock, Leo G. Rebholz, Mengying Xiao:
Acceleration of nonlinear solvers for natural convection problems. - Weibing Deng, Rongrong Xie, Shengfeng Deng, Armen E. Allahverdyan:
Two halves of a meaningful text are statistically different. - Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni:
Strategic Investment in Energy Markets: A Multiparametric Programming Approach. - Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang:
Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. - Jan Baumeister, Bernd Finkbeiner, Sebastian Schirmer, Maximilian Schwenger, Christoph Torens:
RTLola Cleared for Take-Off: Monitoring Autonomous Aircraft. - Hailong Sheng, Chao Yang:
PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries. - Michael Everett, Björn Lütjens, Jonathan P. How:
Certified Adversarial Robustness for Deep Reinforcement Learning. - Wietse de Vries, Andreas van Cranenburgh, Malvina Nissim:
What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models. - Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. - Vassil Vassilev, David J. Lange, Malik Shahzad Muzzafar, Mircho Rodozov, Oksana Shadura, Alexander Penev:
C++ Modules in ROOT and Beyond. - Matthieu Rosenfeld:
The growth rate over trees of any family of set defined by a monadic second order formula is semi-computable. - Brian Subirana, Ferran Hueto, Prithvi Rajasekaran, Jordi Laguarta, Susana Puig, Josep Malvehy, Oriol Mitja, Antoni Trilla, Carlos Iván Moreno, José Francisco Muñoz Valle, Ana Esther Mercado González, Barbara Vizmanos, Sanjay E. Sarma:
Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic. - Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown:
Gender Detection on Social Networks using Ensemble Deep Learning. - Federico Bianchi, Valerio Di Carlo, Paolo Nicoli, Matteo Palmonari:
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora. - Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto:
Contrastive Examples for Addressing the Tyranny of the Majority. - Raoni Lourenço, Juliana Freire, Dennis E. Shasha:
BugDoc: Algorithms to Debug Computational Processes. - Baiming Chen, Liang Li:
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios. - Charles Monnoyer de Galland, Julien M. Hendrickx:
Fundamental Performance Limitations for Average Consensus in Open Multi-Agent Systems. - Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Fast Mutation in Crossover-based Algorithms. - Andrea Miranda González, Samin Aref, Tom Theile, Emilio Zagheni:
Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data. - (Withdrawn) Unsupervised Performance Analysis of 3D Face Alignment.
- Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour:
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts. - Arnaud Dapogny, Kévin Bailly, Matthieu Cord:
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. - Eneko Osaba, Aritz D. Martinez, Akemi Gálvez, Andrés Iglesias, Javier Del Ser:
dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems. - Saad J. Saleh:
On the Optimal Interaction Range for Multi-Agent Systems Under Adversarial Attack. - Yuping Li, Jiyong Jang, Xinming Ou:
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis. - Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck:
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. - Dominik Fay, Jens Sjölund, Tobias J. Oechtering:
Decentralized Differentially Private Segmentation with PATE. - Davood Karimi, Ali Gholipour:
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. - Hamza Harkous, Isabel Groves, Amir Saffari:
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity. - Elena Gutiérrez, Takamasa Okudono, Masaki Waga, Ichiro Hasuo:
Genetic Algorithm for the Weight Maximization Problem on Weighted Automata. - Do-Yup Kim, Hamid Jafarkhani, Jang-Won Lee:
Joint user and power scheduling in downlink NOMA over fading channels. - André Peter Kelm, Udo Zölzer:
Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships. - Parisa Babaheidarian, Somayeh Salimi, Panos Papadimitratos:
Towards Scalable Security in Interference Channels With Arbitrary Number of Users. - Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez:
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. - Sarah Janboecke, Alina Gawlitta, Judith Dörrenbächer, Marc Hassenzahl:
Finding the Inner Clock: A Chronobiology-based Calendar. - Marc Roth, Johannes Schmitt, Philip Wellnitz:
Counting Small Induced Subgraphs Satisfying Monotone Properties. - Xia Cui, Danushka Bollegala:
Multi-source Attention for Unsupervised Domain Adaptation. - Markus Ryll, Davide Bicego, Mattia Giurato, Marco Lovera, Antonio Franchi:
FAST-Hex - A Morphing Hexarotor: Design, Mechanical Implementation, Control and Experimental Validation. - Po-Yu Chen, Laksh Bhatia, Roman Kolcun, David E. Boyle, Julie A. McCann:
Contact-Aware Opportunistic Data Forwarding in Disconnected LoRaWAN Mobile Networks. - Matthias Beckmann, Peter Maass, Judith Nickel:
Error analysis for filtered back projection reconstructions in Besov spaces. - Jin-Yi Cai, Artem Govorov:
Dichotomy for Graph Homomorphisms with Complex Values on Bounded Degree Graphs. - Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef:
DynamicSLAM: Leveraging Human Anchors for Ubiquitous Low-Overhead Indoor Localization. - Leonid Datta:
A Survey on Activation Functions and their relation with Xavier and He Normal Initialization. - Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek:
Reduction Methods on Probabilistic Control-flow Programs for Reliability Analysis. - Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. - Hanxiang Hao, Sriram Baireddy, Emily R. Bartusiak, Latisha Konz, Kevin J. LaTourette, Michael Gribbons, Moses W. Chan, Mary L. Comer, Edward J. Delp:
An Attention-Based System for Damage Assessment Using Satellite Imagery. - Karl-Ludwig Besser, Eduard A. Jorswieck:
Bounds on the Secrecy Outage Probability for Dependent Fading Channels. - Natasha Jarus, Antonio Sabatini, Pratik Maheshwari, Sahra Sedigh Sarvestani:
Software-Based Monitoring and Analysis of a USB Host Controller Subject to Electrostatic Discharge. - Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li:
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation. - Huajun He, Ruiyuan Li, Rubin Wang, Jie Bao, Yu Zheng, Tianrui Li:
Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories. - Ioanna Ntinou, Enrique Sanchez, Adrian Bulat, Michel F. Valstar, Georgios Tzimiropoulos:
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation. - Keita Kurita, Paul Michel, Graham Neubig:
Weight Poisoning Attacks on Pre-trained Models. - Guy Leibovitz, Raja Giryes:
Efficient Least Residual Greedy Algorithms for Sparse Recovery. - Florian Glaser, Giuseppe Tagliavini, Davide Rossi, Germain Haugou, Qiuting Huang, Luca Benini:
Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters. - Zahraa S. Abdallah, Mohamed Medhat Gaber:
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification. - Thomas Groß:
Fidelity of Statistical Reporting in 10 Years of Cyber Security User Studies. - Ashish Rana, Taranveer Singh, Harpreet Singh, Neeraj Kumar, Prashant Singh Rana:
Exploring Cell counting with Neural Arithmetic Logic Units. - Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli:
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. - Wei Du, Fahad Islam, Maxim Likhachev:
Multi-Resolution A. - J. Thomas Beale:
Neglecting discretization corrections in regularized singular or nearly singular integrals. - Robin Fritsch:
Online Graph Exploration on Trees, Unicyclic Graphs and Cactus Graphs. - Tommaso Taddei, Lei Zhang:
Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs. - Heejin Kim, Chinedum Emmanuel Okwudire:
Combined servo error pre-compensation and feedrate optimization - with application to a 3D printer and precision motion stage. - Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim:
DialGraph: Sparse Graph Learning Networks for Visual Dialog. - Martin Isaksson, Karl Norrman:
Secure Federated Learning in 5G Mobile Networks. - Denis Antipov, Benjamin Doerr, Vitalii Karavaev:
The (1 + (λ, λ)) GA Is Even Faster on Multimodal Problems. - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding. - Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott:
Deformable Siamese Attention Networks for Visual Object Tracking. - Qian Zhang, Bo Wang, Wei Wen, Hai Li, Junhui Liu:
Line Art Correlation Matching Network for Automatic Animation Colorization. - Daniel Torres-Salinas:
Daily growth rate of scientific production on Covid-19. Analysis in databases and open access repositories. - Paul F. Fischer, Misun Min, Thilina Rathnayake, Som Dutta, Tzanio V. Kolev, Veselin Dobrev, Jean-Sylvain Camier, Martin Kronbichler, Tim Warburton, Kasia Swirydowicz, Jed Brown:
Scalability of High-Performance PDE Solvers. - Carlos-Emiliano González-Gallardo, Eric SanJuan, Juan-Manuel Torres-Moreno:
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding). - Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. - Xiu-Xiu Zhan, Ziyu Li, Naoki Masuda, Petter Holme, Huijuan Wang:
SI-spreading-based network embedding in static and temporal networks. - Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal:
A Simple Yet Strong Pipeline for HotpotQA. - Carmen Martínez Almansa, Wang Shule, Jorge Peña Queralta, Tomi Westerlund:
Autocalibration of a Mobile UWB Localization System for Ad-Hoc Multi-Robot Deployments in GNSS-Denied Environments. - Zitan Chen, Alexander Barg:
Cyclic and convolutional codes with locality. - Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli:
Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. - Negin Karisani, Payam Karisani:
Mining Coronavirus (COVID-19) Posts in Social Media. - Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans. - Eugene Charniak:
Extrapolation in Gridworld Markov-Decision Processes. - Adita Kulkarni, Anand Seetharam:
Model and Machine Learning based Caching and Routing Algorithms for Cache-enabled Networks. - Toktam A. Oghaz, Ece C. Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay:
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. - Hamza Sami Ullah, Samia Aslam:
Blockchain in Healthcare and Medicine: A Contemporary Research of Applications, Challenges, and Future Perspectives. - Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi:
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. - Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer:
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. - Chao Yin, Xihaier Luo, Ahsan Kareem:
Probabilistic Evolution of Stochastic Dynamical Systems: A Meso-scale Perspective. - Anthony Corso, Mykel J. Kochenderfer:
Interpretable Safety Validation for Autonomous Vehicles. - Anwar Ghani, Afzal Badshah, Saeedullah Jan, Abdulrahman A. Alshdadi, Ali Daud:
Cloud Storage Architecture: Research Challenges and Opportunities. - Emma Manning, Shira Wein, Nathan Schneider:
A Human Evaluation of AMR-to-English Generation Systems. - Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. - Qiang Tang:
Privacy-Preserving Contact Tracing: current solutions and open questions. - Shyam Narayanan:
Population Recovery from the Deletion Channel: Nearly Matching Trace Reconstruction Bounds. - Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Differentially Private Assouad, Fano, and Le Cam. - Derek Kwaku Pobi Asiedu, Sumaila Mahama, Chang-Ick Song, Dongwan Kim, Kyoung-Jae Lee:
Beamforming and Resource Allocation for Multi-User Full-Duplex Wireless Powered Communications in IoT Networks. - Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. - Chien-Chun Ni, Kin Sum Liu, Nicolas Torzec:
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph. - Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris:
Bayesian differential programming for robust systems identification under uncertainty. - Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu:
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning. - Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li:
Intuitive, Interactive Beard and Hair Synthesis with Generative Models. - Aravind Preshant Premkumar, Kevin Yu, Pratap Tokekar:
Combining Geometric and Information-Theoretic Approaches for Multi-Robot Exploration. - Kaveh Akbari Hamed, Jeeseop Kim, Abhishek Pandala:
Quadrupedal Locomotion via Event-Based Predictive Control and QP-Based Virtual Constraints. - Cameron White, Manoranjan Paul, Subrata Chakraborty:
A Practical Blockchain Framework using Image Hashing for Image Authentication. - Joseph St. Cyr, Joshua Vanderpool, Yu Chen, Xiaohua Li:
HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors. - William Merrill:
On the Linguistic Capacity of Real-Time Counter Automata. - Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. - Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. - Jon McCormack, Andy Lomas:
Understanding Aesthetic Evaluation using Deep Learning. - Narayanan Rengaswamy:
On Cyclic Polar Codes and The Burst Erasure Performance of Spatially-Coupled LDPC Codes. - Felipe Cucker, Alperen Ali Ergür, Josué Tonelli-Cueto:
On the Complexity of the Plantinga-Vegter Algorithm. - Padala Manisha, Debojit Das, Sujit Gujar:
Effect of Input Noise Dimension in GANs. - Nina Rajcic, Jon McCormack:
Mirror Ritual: Human-Machine Co-Construction of Emotion. - Jan-Tino Brethouwer, Arnout van de Rijt, Roy Lindelauf, Robbert Fokkink:
"Stay Nearby or Get Checked": A Covid-19 Lockdown Exit Strategy. - Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney:
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. - Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek:
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. - Ankit Garg, Neeraj Kayal, Chandan Saha:
Learning sums of powers of low-degree polynomials in the non-degenerate case. - Alexey A. Bobtsov, Romeo Ortega, Nikolay A. Nikolaev, Johannes Schiffer, M. Nicolai L. Lorenz-Meyer:
State Observation of Power Systems Equipped with Phasor Measurement Units: The Case of Fourth Order Flux-Decay Model. - Xin Ning, Shaohui Xu, Xiaoli Dong, Weijun Li, Fangzhe Nan, Yuanzhou Yao:
Continuous learning of face attribute synthesis. - Roman Matzutt, Benedikt Kalde, Jan Pennekamp, Arthur Drichel, Martin Henze, Klaus Wehrle:
How to Securely Prune Bitcoin's Blockchain. - Zheng Jiang, Menghan Hu, Lei Fan, Yaling Pan, Wei Tang, Guangtao Zhai, Yong Lu:
Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device. - Mégane Millan, Catherine Achard:
Explaining Regression Based Neural Network Model. - Rafael Molina-Masegosa, Miguel Sepulcre, Javier Gozálvez, Friedbert Berens, Vincent Martinez:
Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks. - Hokuto Takahashi, Manabu Hagiwara:
Decoding algorithms of monotone codes and azinv codes and their unified view. - Mohammad Qasem, Hussain M. J. Almohri:
An efficient deception architecture for cloud-based virtual networks. - Lian Cao, Rongpeng Li, Jon Crowcroft, Zhifeng Zhao, Honggang Zhang:
Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation. - Stefano Buzzi, Carmen D'Andrea, Maria Fresia, Yongping Zhang, Shulan Feng:
Pilot Assignment in Cell-Free Massive MIMO based on the Hungarian Algorithm. - Yali Wang, André H. Deutz, Thomas Bäck, Michael T. M. Emmerich:
Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders. - Georg Steinbuss, Klemens Böhm:
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data. - Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu:
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers. - Valéry Dewil, Jérémy Anger, Axel Davy, Thibaud Ehret, Pablo Arias, Gabriele Facciolo:
Self-Supervised training for blind multi-frame video denoising. - Mirko Fiacchini, Teodoro Alamo:
Probabilistic reachable and invariant sets for linear systems with correlated disturbance. - Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang:
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. - Matteo Luperto, Luca Fochetta, Francesco Amigoni:
Exploration of Indoor Environments Predicting the Layout of Partially Observed Rooms. - Martin Sulzmann, Kai Stadtmüller:
Efficient, Near Complete and Often Sound Hybrid Dynamic Data Race Prediction (extended version). - (Withdrawn) Roommate Compatibility Detection Through Machine Learning Techniques.
- Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard:
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos. - Bin Shi, Weijie J. Su, Michael I. Jordan:
On Learning Rates and Schrödinger Operators. - Davood Qorbani, Stefan N. Grösser:
The impact of Industry 4.0 technologies on production and supply chains. - Philipp Wicke, Marianna Bolognesi:
Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter. - Raja Giryes:
A function space analysis of finite neural networks with insights from sampling theory. - Zsolt Zombori, Josef Urban, Chad E. Brown:
Prolog Technology Reinforcement Learning Prover. - Johannes Dellert:
Exploring Probabilistic Soft Logic as a framework for integrating top-down and bottom-up processing of language in a task context. - Rui-Qi Dong, Ai-Guo Wu, Ying Zhang:
Anti-Unwinding Sliding Mode Attitude Maneuver Control for Rigid Spacecraft. - Marek Tyburec, Jan Zeman, Martin Doskár, Martin Kruzík, Matej Leps:
Modular-topology optimization with Wang tilings: An application to truss structures. - Martin Higgins, Fei Teng, Thomas Parisini:
Stealthy MTD Against Unsupervised Learning-based Blind FDI Attacks in Power Systems. - Umashankar Deekshith, Nishit Gajjar, Max Schwarz, Sven Behnke:
Visual Descriptor Learning from Monocular Video. - Rojeh Hayek, Oded Shmueli:
NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT. - Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. - Zheyan Zhang, Yongxing Wang, Peter K. Jimack, He Wang:
MeshingNet: A New Mesh Generation Method based on Deep Learning. - Jonatas B. C. Chagas, Markus Wagner:
Ants can orienteer a thief in their robbery. - Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery. - Francesco Fuggitti:
FOND Planning for LTLf and PLTLf Goals. - Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang:
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization. - Sarah Janboecke, Diana Löffler, Marc Hassenzahl:
Using Experimental Vignettes to Study Early-Stage Automation Adoption. - Newton Masinde, Moritz Kanzler, Kalman Graffi:
Caching Structures for Distributed Data Management in P2P-based Social Networks. - Muhammad Nazrul Islam, Md. Mahboob Karim, Toki Tahmid Inan, A. K. M. Najmul Islam:
Investigating usability of mobile health applications in Bangladesh. - Qi Yu, Daoyi Dong, Ian R. Petersen:
Hybrid filtering for a class of nonlinear quantum systems subject to classical stochastic disturbances. - Christoph Lüders:
Computing Tropical Prevarieties with Satisfiability Modulo Theory (SMT) Solvers. - Nicolae Berendea, Hugues Mercier, Emanuel Onica, Etienne Rivière:
Fair and Efficient Gossip in Hyperledger Fabric. - Gunes Karabulut-Kurt, Enver Ozdemir, Neslihan Aysen Ozkirisci, Ozan Alp Topal, Emel A. Ugurlu:
A Polynomial Interpolation based Quantum Key Reconciliation Protocol: Error Correction without Information Leakage. - Holger Kinkelin, Richard von Seck, Christoph Rudolf, Georg Carle:
Hardening X.509 Certificate Issuance using Distributed Ledger Technology. - Mohamed El-Geish:
Gestalt: a Stacking Ensemble for SQuAD2.0. - Grzegorz Chrupala, Bertrand Higy, Afra Alishahi:
Analyzing analytical methods: The case of phonology in neural models of spoken language. - Yao Meng, Zhe Yu, Ning Lu, Di Shi:
Time Series Classification for Locating Forced Oscillation Sources. - Priodyuti Pradhan:
Distributed Data Verification Protocols in Cloud Computing. - Francesco Donnarumma, Giovanni Pezzulo:
Moral decisions in the age of COVID-19: your choices really matter. - Lukas Faber, Roger Wattenhofer:
Neural Status Registers. - Lum Ramabaja:
The Binary Vector Clock. - Giulio Lovisotto, Henry Turner, Simon Eberz, Ivan Martinovic:
Seeing Red: PPG Biometrics Using Smartphone Cameras. - Kazuki Miyazawa, Tatsuya Aoki, Takato Horii, Takayuki Nagai:
lamBERT: Language and Action Learning Using Multimodal BERT. - Edouard Yvinec, Arnaud Dapogny, Kévin Bailly:
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. - Chaocheng He, Jiang Wu, Qingpeng Zhang:
Characterizing Research Leadership on Geographical Weighted Collaboration Network. - Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu:
Fully Convolutional Online Tracking. - Matteo Macchini, Thomas Havy, Antoine Weber, Fabrizio Schiano, Dario Floreano:
Hand-worn Haptic Interface for Drone Teleoperation. - Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. - Seif Ben Chaabene:
Nouvelles représentations concises exactes des motifs rares. - Linhao Li, Zhiqiang Zhou, Bo Wang, Lingjuan Miao, Hua Zong:
A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box. - Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein:
Bayesian Hierarchical Words Representation Learning. - Foivos Michelinakis, Anas Saeed Al-Selwi, Martina Capuzzo, Andrea Zanella, Kashif Mahmood, Ahmed Elmokashfi:
Dissecting Energy Consumption of NB-IoT Devices Empirically. - Pedro Paulo Balbi de Oliveira, Enrico Formenti, Kévin Perrot, Sara Riva, Eurico L. P. Ruivo:
Non-maximal sensitivity to synchronism in periodic elementary cellular automata: exact asymptotic measures. - Maximilien Gadouleau, Luca Mariot:
Latin Hypercubes and Cellular Automata. - Max Langenkamp, Allan Costa, Chris Cheung:
Hiring Fairly in the Age of Algorithms. - Peng Hu:
A 5G NR based System Architecture for Real-Time Control with Batteryless RFID Sensors. - Albert Susanto, Herman, Tjeng Wawan Cenggoro, Suharjito, Bens Pardamean:
Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images. - Abdeljalil Beniiche:
A Study of Blockchain Oracles. - Benjamin Doerr, Weijie Zheng:
From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm. - Jérémy Bonvoisin, Jenny Molloy, Martin Haeuer, Tobias Wenzel:
Standardisation of practices in Open Source Hardware. - Assyr Abdulle, Giacomo Rosilho de Souza:
A posteriori error analysis of a local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations. - Jimit Majmudar, Stephen A. Vavasis:
Provable Overlapping Community Detection in Weighted Graphs. - Ewan Davies, Ross J. Kang, François Pirot, Jean-Sébastien Sereni:
An algorithmic framework for colouring locally sparse graphs. - Alvaro Ovalle, Simon M. Lucas:
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL. - Noah Rhodes, Lewis Ntaimo, Line Roald:
Balancing Wildfire Risk and Power Outages through Optimized Power Shut-Offs. - Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. - Enrique Sanchez, Michel F. Valstar:
A recurrent cycle consistency loss for progressive face-to-face synthesis. - Amal A. Alahmadi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient and Delay Aware Vehicular Edge Cloud. - Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce:
Musical Features for Automatic Music Transcription Evaluation. - Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. - Decai Shen, Linglong Dai:
Channel Feedback for Reconfigurable Intelligent Surface Assisted Wireless Communications. - Maximilian März, Claire Boyer, Jonas Kahn, Pierre Weiss:
Sampling Rates for 𝓁1-Synthesis. - Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi:
Trust-based user-interface design for human-automation systems. - Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Interpretable Probabilistic Password Strength Meters via Deep Learning. - Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld:
SPECTER: Document-level Representation Learning using Citation-informed Transformers. - Benjamin Lucas, Brendan Elliot, Todd Landman:
Online Information Search During COVID-19. - Cui Su, Jun Pang:
Sequential Control of Boolean Networks with Temporary and Permanent Perturbations. - Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin:
A Transductive Approach for Video Object Segmentation. - Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Effective Removal of Operational Log Messages: an Application to Model Inference. - Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration. - Jasmin Niess, Pawel W. Wozniak:
Embracing Companion Technologies. - Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam:
BabyAI++: Towards Grounded-Language Learning beyond Memorization. - Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski:
Entities as Experts: Sparse Memory Access with Entity Supervision. - Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser:
Implementing Software Resiliency in HPX for Extreme Scale Computing. - Adrià Arbués Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro:
Using Player's Body-Orientation to Model Pass Feasibility in Soccer. - Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif M. Khan, Yoshua Bengio, Markus Anderljung:
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Marthe Bonamy, Oscar Defrain, Piotr Micek, Lhouari Nourine:
Enumerating minimal dominating sets in the (in)comparability graphs of bounded dimension posets. - Xianghui Zhong:
A Small Improvement to the Upper Bound on the Integrality Ratio for the s-t Path TSP. - Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine:
D4RL: Datasets for Deep Data-Driven Reinforcement Learning. - Nima Anari, Kuikui Liu, Shayan Oveis Gharan, Cynthia Vinzant:
Log-Concave Polynomials IV: Exchange Properties, Tight Mixing Times, and Faster Sampling of Spanning Trees. - Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
First-Order Rewritability of Ontology-Mediated Queries in Linear Temporal Logic. - Mark Cesar, Ryan Rogers:
Unifying Privacy Loss Composition for Data Analytics. - Zahra Fatemi, Elena Zheleva:
Minimizing Interference and Selection Bias in Network Experiment Design. - Lin Zhou, Alfred O. Hero III:
Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation. - Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman:
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. - Jiehang Zeng, Lu Liu, Xiaoqing Zheng:
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework. - Luisa F. Polanía, Mauricio Flores, Yiran Li, Matthew S. Nokleby:
Learning Furniture Compatibility with Graph Neural Networks. - Anne Koch, Julian Berberich, Frank Allgöwer:
Verifying dissipativity properties from noise-corrupted input-state data. - Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, S. Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. - Haim Kaplan, Jay Tenenbaum:
Locality Sensitive Hashing for Set-Queries, Motivated by Group Recommendations. - Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
Clustering Time Series Data through Autoencoder-based Deep Learning Models. - Cristina Romero-Tris, David Megías:
Secure protocol to protect location privacy in distance calculation. - Yaoxin Li, Jing Liu, Guozheng Lin, Yueyuan Hou, Muyun Mou, Jiang Zhang:
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs. - Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel:
ESResNet: Environmental Sound Classification Based on Visual Domain Models. - Rohit Gupta, Mubarak Shah:
RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery. - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. - Bernhard Liebl, Manuel Burghardt:
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers. - Thomas Bläsius, Tobias Friedrich, Andreas Göbel, Jordi Levy, Ralf Rothenberger:
The Impact of Heterogeneity and Geometry on the Proof Complexity of Random Satisfiability. - Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. - Idriss Mghabbar, Pirashanth Ratnamogan:
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation. - Jingmin Xia, Patrick E. Farrell, Florian Wechsung:
Augmented Lagrangian preconditioners for the Oseen-Frank model of cholesteric liquid crystals. - Gabriele Steidl, Maximilian Winkler:
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. - Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff:
Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction. - Sébastien Bubeck, Yuval Rabani, Mark Sellke:
Online Multiserver Convex Chasing and Optimization. - Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. - Nguyen Van Duc, Nguyen Van Thang, Nguyen Trung Thành:
Regularization of backward time-fractional parabolic equations by Sobolev equations methods. - Richeng Jin, Xiaofan He, Huaiyu Dai:
On the Design of Communication Efficient Federated Learning over Wireless Networks. - John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers:
Ownership at Large - Open Problems and Challenges in Ownership Management. - Loïc Crombez, Guilherme Dias da Fonseca, Yan Gerard:
Efficient Algorithms for Battleship. - Aakash Gautam:
Usable, Acceptable, Appropriable: Towards Practicable Privacy. - Ali Ahmad Malik, Tariq Masood, Rehana Kousar:
Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help? - Afsoon Afzal, Deborah S. Katz, Claire Le Goues, Christopher Steven Timperley:
A Study on the Challenges of Using Robotics Simulators for Testing. - Eduardo Nuno Almeida, André Coelho, José Ruela, Rui Campos, Manuel Ricardo:
Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks. - Marc Eisenstadt, Manoharan Ramachandran, Niaz Chowdhury, Allan Third, John Domingue:
COVID-19 Antibody Test Certification: There's an app for that. - Zohair Abu-Shaban, Gonzalo Seco-Granados, Craig R. Benson, Henk Wymeersch:
Performance Analysis for Autonomous Vehicle 5G-Assisted Positioning in GNSS-Challenged Environments. - Antti Kuusisto, Raine Rönnholm:
Optimal protocols for the most difficult repeated coordination games. - Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga:
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. - Rajkumar Muthusamy, Xiaoqian Huang, Yahya H. Zweiri, Lakmal D. Seneviratne, Dongming Gan:
Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation. - Dominik Kirst, Dominique Larchey-Wendling:
Trakhtenbrot's Theorem in Coq, A Constructive Approach to Finite Model Theory. - Antonio Alliegro, Davide Boscaini, Tatiana Tommasi:
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges. - Rémi Giraud, Rodrigo Borba Pinheiro, Yannick Berthoumieu:
Generalized Shortest Path-based Superpixels for Accurate Segmentation of Spherical Images. - Manyou Ma, Vincent W. S. Wong:
Joint User Pairing and Association for Multicell NOMA: A Pointer Network-based Approach. - Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Yahya H. Zweiri, Dongming Gan, Lakmal D. Seneviratne:
Neuromorphic Eye-in-Hand Visual Servoing. - Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Affordances in Robotic Tasks - A Survey. - David Solans, Battista Biggio, Carlos Castillo:
Poisoning Attacks on Algorithmic Fairness. - Jonathan Leake, Nisheeth K. Vishnoi:
On the computability of continuous maximum entropy distributions with applications. - Xiao Chen, Yanjun Li, Arman Goudarzi, Ji Xiang:
Leaderless Consensus of a Hierarchical Cyber-Physical System. - Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park:
Combinatorial 3D Shape Generation via Sequential Assembly. - Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi:
The MosaicSim Simulator (Full Technical Report). - Yang Liu, Xiong Zhang, Shuqi Qin, Xiaoping Lei:
Differentially Private Linear Regression over Fully Decentralized Datasets. - Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu:
Neural Data-to-Text Generation with Dynamic Content Planning. - Yang Liu, Xiong Zhang, Libin Wang:
Asymmetrical Vertical Federated Learning. - Min Meng, Gaoxi Xiao, Daizhan Cheng:
Self-Triggered Scheduling for Boolean Control Networks. - Ali Ghubaish, Tara Salman, Raj Jain:
Experiments with a LoRaWAN-Based Remote ID System for Locating Unmanned Aerial Vehicles (UAVs). - Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi:
Non-Autoregressive Machine Translation with Latent Alignments. - Rodrigo Minetto, Maurício Pamplona Segundo, Gilbert Rotich, Sudeep Sarkar:
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic. - Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. - Patrick Kreitzberg, Jake Pennington, Kyle Lucke, Oliver Serang:
Fast exact computation of the k most abundant isotope peaks with layer-ordered heaps. - Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah:
Resolving the Optimal Metric Distortion Conjecture. - Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. - Juan C. S. Herrera:
Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles. - Gang Peng, Yuezhi Zheng, Jianfeng Li, Jin Yang, Zhonghua Deng:
Single upper limb pose estimation method based on improved stacked hourglass network. - Yoshiho Akagawa, Elliott Ginder, Syota Koide, Seiro Omata, Karel Svadlenka:
A Crank-Nicolson type minimization scheme for a hyperbolic free boundary problem. - Silin Gao, Yichi Zhang, Zhijian Ou, Zhou Yu:
Paraphrase Augmented Task-Oriented Dialog Generation. - Kristof Roomp, Nuria Oliver:
ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing. - Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, Rong Xiao:
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks. - Shunhua Jiang, Zhao Song, Omri Weinstein, Hengjie Zhang:
Faster Dynamic Matrix Inverse for Faster LPs. - Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu:
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. - Patrick Ebel, Ibrahim Emre Göl, Christoph Lingenfelder, Andreas Vogelsang:
Destination Prediction Based on Partial Trajectory Data. - Deepak Singh, Dilip Singh Sisodia, Pradeep Singh:
Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data. - Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu:
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak. - Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Stephen Gould:
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking. - Christoph Lassner:
Fast Differentiable Raycasting for Neural Rendering using Sphere-based Representations. - Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu:
Asynchronous Interaction Aggregation for Action Detection. - Liping Zhang, Weijun Li, Xin Ning:
A Local Descriptor with Physiological Characteristic for Finger Vein Recognition. - Hans L. Bodlaender, Nick Brettell, Matthew Johnson, Giacomo Paesani, Daniël Paulusma, Erik Jan van Leeuwen:
Steiner Trees for Hereditary Graph Classes: a Treewidth Perspective. - Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren:
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. - Ulrich Reif, Andreas Weinmann:
Clothoid Fitting and Geometric Hermite Subdivision. - Primal Pappachan, Roberto Yus, Sharad Mehrotra, Johann-Christoph Freytag:
Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems. - Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Alexander Steen, Christoph Benzmüller:
On Reductions of Hintikka Sets for Higher-Order Logic. - Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim:
Continual Learning with Extended Kronecker-factored Approximate Curvature. - Damian A. Tamburri, Rick Kazman, Hamed Fahimi:
Organisational Structure Patterns in Agile Teams: An Industrial Empirical Study. - Tom Vermeire, David Martens:
Explainable Image Classification with Evidence Counterfactual. - Pooja Saigal, Reshma Khemchandani:
Nonparallel Hyperplane Classifiers for Multi-category Classification. - Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. - Nicolas Gast, Diego Latella, Mieke Massink:
Refined Mean Field Analysis of the Gossip Shuffle Protocol - extended version -. - Domna Chiotaki, Kostas Karpouzis:
Open and Cultural Data Games for Learning. - Simone Romano, Giuseppe Scanniello, Maria Teresa Baldassarre, Davide Fucci, Danilo Caivano:
Results from a replicated experiment on the affective reactions of novice developers when applying test-driven development. - Christos Kaplanis, Claudia Clopath, Murray Shanahan:
Continual Reinforcement Learning with Multi-Timescale Replay. - Ruben Tolosana, Sergio Romero-Tapiador, Julian Fiérrez, Rubén Vera-Rodríguez:
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance. - Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung:
OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. - Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao:
Fast Template Matching and Update for Video Object Tracking and Segmentation. - Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi:
Classification Representations Can be Reused for Downstream Generations. - Anthony Cioppa, Adrien Deliège, Noor ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund:
Multimodal and multiview distillation for real-time player detection on a football field. - Shanfeng Huang, Bojie Lv, Rui Wang, Kaibin Huang:
Scheduling for Mobile Edge Computing with Random User Arrivals: An Approximate MDP and Reinforcement Learning Approach. - Mikkel Abrahamsen, Tillmann Miltzow, Nadja Seiferth:
Framework for ∃R-Completeness of Two-Dimensional Packing Problems. - Haohao Zhou, Xiangzhi Wei:
AMPSO: Artificial Multi-Swarm Particle Swarm Optimization. - Peihao Dong, Hua Zhang, Qihui Wu, Geoffrey Ye Li:
Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs. - Esther Galby, Andrea Munaro:
Approximating Independent Set and Dominating Set on VPG graphs. - Fa-Ting Hong, Weihong Li, Wei-Shi Zheng:
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection. - Ildoo Kim, Woonhyuk Baek, Sungwoong Kim:
Spatially Attentive Output Layer for Image Classification. - Michael Elkin, Ofer Neiman:
Centralized and Parallel Multi-Source Shortest Paths via Hopsets and Fast Matrix Multiplication. - S. Thomas McCormick, Britta Peis, Robert Scheidweiler, Frank Vallentin:
A polynomial time algorithm for solving the closest vector problem in zonotopal lattices. - Mnacho Echenim, Radu Iosif, Nicolas Peltier:
Entailment Checking in Separation Logic with Inductive Definitions is 2-EXPTIME hard. - Jason J. Choi, Fernando Castañeda, Claire J. Tomlin, Koushil Sreenath:
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions. - Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans:
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. - Sebastian Wallkötter, Rebecca Stower, Arvid Kappas, Ginevra Castellano:
A Robot by Any Other Frame: Framing and Behaviour Influence Mind Perception in Virtual but not Real-World Environments. - Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks. - Anil Goyal, Jihed Khiari:
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data. - Takio Uesugi, Yoshinobu Shijo, Masayuki Murata:
Short Paper: Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain. - Jeffrey Hajewski, Suely Oliveira, Xiaoyu Xing:
Distributed Evolution of Deep Autoencoders. - Khalid S. Aloufi, AbdulRahman A. Al-Sewari:
Toward Efficient Web Publishing with Provenance of Information Using Trusty URIs: Applying the proposed model with the Quran. - (Withdrawn) Connecting the Dots of COVID-19 Transmissions in India.
- Hafeez Ur Rehman, Anwar Ghani, Shehzad Ashraf Chaudhry, Mohammed H. Alsharif, Narjes Nabipour:
A Secure and Improved Multi Server Authentication Protocol Using Fuzzy Commitment. - Songyan Li, Abhinav Dronamraju, Daniel J. Tylavsky:
Root Distribution in Padé Approximants and its Effect on Holomorphic Embedding Method Convergence. - Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles:
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. - Yujia Zhou, Shumao Pang, Jun Cheng, Yuhang Sun, Yi Wu, Lei Zhao, Yaqin Liu, Zhentai Lu, Wei Yang, Qianjin Feng:
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation. - János Kramár, Neil C. Rabinowitz, Tom Eccles, Andrea Tacchetti:
Should I tear down this wall? Optimizing social metrics by evaluating novel actions. - Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert:
Top-Down Networks: A coarse-to-fine reimagination of CNNs. - Michael A. Bekos, Michael Kaufmann, Fabian Klute, Sergey Pupyrev, Chrysanthi N. Raftopoulou, Torsten Ueckerdt:
Four Pages Are Indeed Necessary for Planar Graphs. - Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Álvaro Rodrigo, Dirk Von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre, Mark Cieliebak:
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation. - Ismel Martínez-Díaz, Carlos-Miguel Legón:
Local Search Trajectories over S-box Space. - Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis:
Hcore-Init: Neural Network Initialization based on Graph Degeneracy. - Jingwei Hu, Lorenzo Pareschi, Yubo Wang:
Uncertainty quantification for the BGK model of the Boltzmann equation using multilevel variance reduced Monte Carlo methods. - Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm:
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. - Lars Lorch, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment. - Robert Litschko, Ivan Vulic, Zeljko Agic, Goran Glavas:
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers. - Yuequan Bao, Dawei Liu, Zhiyi Tang, Hui Li:
Machine-learning-based methods for output only structural modal identification. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov:
Mathematical model of LoRaWAN channel access. - Wenyu Jin, Xiaorui Sun:
Fully Dynamic c-Edge Connectivity in Subpolynomial Time. - Francisco J. Escribano, José Sáez Landete, Alexandre Wagemakers:
Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity. - Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee:
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. - Sitan Chen, Ankur Moitra:
Algorithmic Foundations for the Diffraction Limit. - Guoming Tang, Kui Wu, Yangjing Wu, Hanlong Liao, Deke Guo, Yi Wang:
Quantifying Low-Battery Anxiety of Mobile Users and Its Impacts on Video Watching Behavior. - Brittany Reid, Christoph Treude, Markus Wagner:
Optimising the Fit of Stack Overflow Code Snippets into Existing Code. - Pedro G. Artaxo, Auguste Bourgois, Hugo R. M. Sardinha, Henrique S. Vieira, Ely Carneiro de Paiva, André R. Fioravanti, Patrícia Amâncio Vargas:
Autonomous Cooperative Flight Control for Airship Swarms. - Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg:
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. - Angela Bonifati, Giovanna Guerrini, Carsten Lutz, Wim Martens, Lara Mazilu, Norman W. Paton, Marcos Antonio Vaz Salles, Marc H. Scholl, Yongluan Zhou:
Holding a Conference Online and Live due to COVID-19. - Martin Grohe, Daniel Neuen, Daniel Wiebking:
Isomorphism Testing for Graphs Excluding Small Minors. - Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, Ting Liu:
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. - Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli, Luca Bondi, Paolo Bestagini, Stefano Tubaro:
Video Face Manipulation Detection Through Ensemble of CNNs. - Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra:
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey. - Nicolò Bonettini, Paolo Bestagini, Simone Milani, Stefano Tubaro:
On the use of Benford's law to detect GAN-generated images. - Tom Bosc, Pascal Vincent:
Do sequence-to-sequence VAEs learn global features of sentences? - Mingmin Zhen, Jinglu Wang, Lei Zhou, Shiwei Li, Tianwei Shen, Jiaxiang Shang, Tian Fang, Quan Long:
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts. - Phuong D. Ngo, Fred Godtliebsen:
Data-Driven Robust Control Using Reinforcement Learning. - Florin Condrea, Victor-Andrei Ivan, Marius Leordeanu:
In Search of Life: Learning from Synthetic Data to Detect Vital Signs in Videos. - Jan Sokolowski, Volker Schulz, Udo Schröder, Hans-Peter Beise:
A Hybrid Objective Function for Robustness of Artificial Neural Networks - Estimation of Parameters in a Mechanical System. - Stefano Dafarra:
Predictive Whole-Body Control of Humanoid Robot Locomotion. - Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision. - Declan Oller, Tobias Glasmachers, Giuseppe Cuccu:
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. - Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Cyril Allouche:
Quantum circuit synthesis using Householder transformations. - Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan:
Knowledge Distillation for Action Anticipation via Label Smoothing. - Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Cyril Allouche:
Synthesizing quantum circuits via numerical optimization. - Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. - Vaibhav Pandey, Nitish Nag, Ramesh C. Jain:
Continuous Health Interface Event Retrieval. - Lorenz Cuno Klopfenstein, Saverio Delpriori, Gian Marco Di Francesco, Riccardo Maldini, Brendan Dominic Paolini, Alessandro Bogliolo:
Digital Ariadne: Citizen Empowerment for Epidemic Control. - Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu:
Coresets for Clustering in Excluded-minor Graphs and Beyond. - Christiane Kuhn, Martin Beck, Thorsten Strufe:
Covid Notions: Towards Formal Definitions - and Documented Understanding - of Privacy Goals and Claimed Protection in Proximity-Tracing Services. - Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli:
Image Quality Assessment: Unifying Structure and Texture Similarity. - Thomas Luinaud, Thibaut Stimpfling, Jeferson Santiago da Silva, Yvon Savaria, J. M. Pierre Langlois:
Bridging the Gap: FPGAs as Programmable Switches. - Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini:
Cross-lingual Contextualized Topic Models with Zero-shot Learning. - Emma Zavarrone, Maria Gabriella Grassia, Marina Marino, Rasanna Cataldo, Rocco Mazza, Nicola Canestrari:
CO.ME.T.A. - covid-19 media textual analysis. A dashboard for media monitoring. - Emanuele De Angelis, Fabio Fioravanti, Alberto Pettorossi, Maurizio Proietti:
Removing Algebraic Data Types from Constrained Horn Clauses Using Difference Predicates. - Ioannis Chatzigeorgiou:
The Impact of 5G Channel Models on the Performance of Intelligent Reflecting Surfaces and Decode-and-Forward Relaying. - Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz:
Investigating Efficient Learning and Compositionality in Generative LSTM Networks. - Richard Gebauer, Nick Karcher, Jonas Hurst, Marc Weber, Oliver Sander:
Accelerating complex control schemes on a heterogeneous MPSoC platform for quantum computing. - Parikshit Pareek, Hung D. Nguyen:
Gaussian Process Learning-based Probabilistic Optimal Power Flow. - Ioannis Chatzigeorgiou, Elena Manole:
Decoding Probability Analysis of Network-Coded Data Collection and Delivery by Relay Drones. - Pengyu Nie, Karl Palmskog, Junyi Jessy Li, Milos Gligoric:
Deep Generation of Coq Lemma Names Using Elaborated Terms. - Gregor Gantner, Dirk Praetorius:
Adaptive BEM for elliptic PDE systems, Part I: Abstract framework for weakly-singular integral equations. - Valerio Bioglio, Carlo Condo:
Sliding Window Polar Codes. - Pei Wang, Nuno Vasconcelos:
SCOUT: Self-aware Discriminant Counterfactual Explanations. - Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon:
Computing all identifiable functions for ODE models. - Jón Friðrik Daðason, David Erik Mollberg, Hrafn Loftsson, Kristín Bjarnadóttir:
Kvistur 2.0: a BiLSTM Compound Splitter for Icelandic. - Bhanuka Mahanama, Yasith Jayawardana, Sampath Jayarathna:
Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks. - Parham Gohari, Matthew T. Hale, Ufuk Topcu:
Privacy-Preserving Policy Synthesis in Markov Decision Processes. - Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann:
Shortcut Learning in Deep Neural Networks. - Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe:
Multi-Object Tracking with Siamese Track-RCNN. - Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker:
RGBD-Dog: Predicting Canine Pose from RGBD Sensors. - Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel:
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. - Glenn Bitar, Andreas B. Martinsen, Anastasios M. Lekkas, Morten Breivik:
Trajectory Planning and Control for Automatic Docking of ASVs with Full-Scale Experiments. - Jack H. Lutz, Neil Lutz, Elvira Mayordomo:
The Dimensions of Hyperspaces. - Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Partha Lal, Xin Wang:
Leveraging GANs to Improve Continuous Path Keyboard Input Models. - Liam Li, Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar:
Geometry-Aware Gradient Algorithms for Neural Architecture Search. - Aravind Rajeswaran, Igor Mordatch, Vikash Kumar:
A Game Theoretic Framework for Model Based Reinforcement Learning. - Karen Tatarian, Sebastian Wallkötter, Sera Buyukgoz, Rebecca Stower, Mohamed Chetouani:
MobiAxis: An Embodied Learning Task for Teaching Multiplication with a Social Robot. - Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez:
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. - Pablo Krupa, Daniel Limón, Teodoro Alamo:
Harmonic based model predictive control for set-point tracking. - Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng:
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. - Ahmed Raoof, Ashraf Matrawy, Chung-Horng Lung:
Enhancing Routing Security in IoT: Performance Evaluation of RPL Secure Mode under Attacks. - Uddalok Sarkar, Soumyadeep Pal, Sayan Nag, Chirayata Bhattacharya, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Speaker Recognition in Bengali Language from Nonlinear Features. - Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma, Ze Gong, Yu Zhang:
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming. - Kazuya Haraguchi, Hiroshi Nagamochi:
Polynomial-delay Enumeration Algorithms in Set Systems. - Peter Hillmann, Lars Stiemert, Gabi Dreo Rodosek, Oliver Rose:
Modelling of IP Geolocation by use of Latency Measurements. - Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia:
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity. - Giovanni Abramo, Dag W. Aksnes, Ciriaco Andrea D'Angelo:
Unveiling the distinctive traits of a nation's research performance: the case of Italy and Norway. - Andrew Daw, Antonio Castellanos, Galit B. Yom-Tov, Jamol Pender, Leor Gruendlinger:
The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes. - Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu:
A Neural Architecture Search based Framework for Liquid State Machine Design. - Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Gregorio Martínez Pérez:
AuthCODE: A Privacy-preserving and Multi-device Continuous Authentication Architecture based on Machine and Deep Learning. - Snejana Shegheva, Ashok K. Goel:
Symmetry as an Organizing Principle for Geometric Intelligence. - Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. - Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat:
Maximizing Determinants under Matroid Constraints. - Yufang Hou:
Bridging Anaphora Resolution as Question Answering. - Jeremy Tan, Bernhard Kainz:
Divergent Search for Few-Shot Image Classification. - Philippe Balbiani, Çigdem Gencer, Maryam Rostamigiv, Tinko Tinchev:
About the unification types of the modal logics determined by classes of deterministic frames. - Manyou Ma, Vincent W. S. Wong:
A Deep Reinforcement Learning Approach for Dynamic Contents Caching in HetNets. - George Fletcher, Paul Groth, Juan F. Sequeda:
Knowledge Scientists: Unlocking the data-driven organization. - Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Deep Neural Networks Against Adversarial Malware Examples. - Shiva Poudel, Anamika Dubey:
A Two-Stage Service Restoration Method for Electric Power Distribution Systems. - Ritu Yadav:
Light-Weighted CNN for Text Classification. - Dmitry Kazhdan, Zohreh Shams, Pietro Liò:
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library. - Rui-Qi Dong, Ai-Guo Wu, Ying Zhang:
Sliding Mode Attitude Maneuver Control for Rigid Spacecraft without Unwinding. - Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann:
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. - Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo:
Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies. - Stéphane Graham-Lengrand, Dejan Jovanovic, Bruno Dutertre:
Solving bitvectors with MCSAT: explanations from bits and pieces (long version). - Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. - Amir Javadpour, Sanaz Kazemi Abharian, Guojun Wang:
Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms. - Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman:
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding. - Mahdi Rad, Peter M. Roth, Vincent Lepetit:
ALCN: Adaptive Local Contrast Normalization. - Yossi Azar, Noam Touitou:
Beyond Tree Embeddings - a Deterministic Framework for Network Design with Deadlines or Delay. - Jing Li, Dongning Guo:
A Resource Allocation and Coordinated Transmission Scheme for Large Cellular Networks. - Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning visual policies for building 3D shape categories. - Yiqing Shen, Ke Zhang, Shiyao Li, Jun Peng:
A novel method for constructing high accurate and robust WENO-Z type scheme. - Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang:
Targeted Attack for Deep Hashing based Retrieval. - Michael Gleicher, Aditya Barve, Xinyi Yu, Florian Heimerl:
Boxer: Interactive Comparison of Classifier Results. - Enrique Otárola, Abner J. Salgado:
On the analysis and approximation of some models of fluids over weighted spaces on convex polyhedra. - Huy Manh Nguyen, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi:
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence. - Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Estimating Motion Uncertainty with Bayesian ICP. - Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Ragunathan Rajkumar, Chen-Fang Chang:
Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles. - Mingwang Zhao:
Analytical Factors for Describing the Control Ability of Linear Discrete-time Systems. - Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar:
Spectral Learning on Matrices and Tensors. - Zhao Song, David P. Woodruff, Peilin Zhong:
Average Case Column Subset Selection for Entrywise 𝓁1-Norm Loss. - Shayan Taherian, Shilp Dixit, Umberto Montanaro, Saber Fallah:
Autonomous Emergency Collision Avoidance and Stabilisation in Structured Environments. - Dustin Arendt, Zhuanyi Huang, Prasha Shrestha, Ellyn Ayton, Maria Glenski, Svitlana Volkova:
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. - Ruizhe Li, Dorothee Auer, Christian Wagner, Xin Chen:
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentation. - Elena Arseneva, Yeganeh Bahoo, Ahmad Biniaz, Pilar Cano, Farah Chanchary, John Iacono, Kshitij Jain, Anna Lubiw, Debajyoti Mondal, Khadijeh Sheikhan, Csaba D. Tóth:
Compatible Paths on Labelled Point Sets. - Angelina Wang, Arvind Narayanan, Olga Russakovsky:
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. - Angelo Feraudo, Poonam Yadav, Richard Mortier, Paolo Bellavista, Jon Crowcroft:
SoK: Beyond IoT MUD Deployments - Challenges and Future Directions. - Dimitar Ho:
A System Level Approach to Discrete-Time Nonlinear Systems. - Linda Wang, Mahmoud Famouri, Alexander Wong:
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation. - Tica Lin, Yalong Yang, Johanna Beyer, Hanspeter Pfister:
SportsXR - Immersive Analytics in Sports. - Niru Maheswaranathan, David Sussillo:
How recurrent networks implement contextual processing in sentiment analysis. - Hiroaki Iwashita, Takuya Takagi, Hirofumi Suzuki, Keisuke Goto, Kotaro Ohori, Hiroki Arimura:
Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification. - Mahdi Fahmideh, Didar Zowghi:
An Exploration of IoT Platform Development. - Mahdi Fahmideh, Ghassan Beydoun:
Big data analytics architecture design. - Piji Li, Haisong Zhang, Xiaojiang Liu, Shuming Shi:
Rigid Formats Controlled Text Generation. - Mahdi Fahmideh, Thorsten Lammers:
A study of influential factors in designing self-reconfigurable robots for green manufacturing. - Oriana Peltzer, Kyle Brown, Mac Schwager, Mykel J. Kochenderfer, Martin A. Sehr:
STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times. - Chuanzi He, Haidong Zhu, Jiyang Gao, Kan Chen, Ram Nevatia:
CPARR: Category-based Proposal Analysis for Referring Relationships. - Jaybie A. de Guzman, Kanchana Thilakarathna, Aruna Seneviratne:
Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality. - Predrag Lazic:
Smartphone camera based pointer. - David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig:
AlloVera: A Multilingual Allophone Database. - Benjamin Wu, Aaron B. Wagner, G. Edward Suh:
A Case for Maximal Leakage as a Side Channel Leakage Metric. - Mahdi Fahmideh, Didar Zowghi:
IoT Smart City Architectures an Analytical Evaluation. - Mika Göös, Sajin Koroth, Ian Mertz, Toniann Pitassi:
Automating Cutting Planes is NP-Hard}. - Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane:
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. - Michael A. Bender, Tsvi Kopelowitz, William Kuszmaul, Seth Pettie:
Contention Resolution Without Collision Detection. - Naveen Kumar Macha, Md Arif Iqbal, Bhavana Tejaswini Repalle, Sehtab Hossain, Mostafizur Rahman:
Crosstalk Noise based Configurable Computing: A New Paradigm for Digital Electronics. - Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. - Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. - Jordi Armengol-Estapé, Marta R. Costa-jussà, Carlos Escolano:
Enriching the Transformer with Linguistic and Semantic Factors for Low-Resource Machine Translation. - Tao Li, Zhiyuan Liang, Sanyuan Zhao, Jiahao Gong, Jianbing Shen:
Self-Learning with Rectification Strategy for Human Parsing. - Dian Yu, Kai Sun, Claire Cardie, Dong Yu:
Dialogue-Based Relation Extraction. - David Howard, Thomas Lowe, Wade Geles:
Diversity-based Design Assist for Large Legged Robots. - Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. - Ji Guan, Nengkun Yu:
Verification of Continuous-time Markov Chains. - Yuki Hagiwara, Toshihisa Tanaka:
YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset. - Jaeyeon Jang, Chang Ouk Kim:
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition. - Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. - Alasdair Tran, Alexander Patrick Mathews, Lexing Xie:
Transform and Tell: Entity-Aware News Image Captioning. - Wenqian Shen, Xiangyuan Bu, Xinyu Gao, Chengwen Xing, Lajos Hanzo:
Beamspace Precoding and Beam Selection for Wideband Millimeter-Wave MIMO Relying on Lens Antenna Arrays. - Tian Zhang, Wei Chen:
Computation Offloading in Heterogeneous Mobile Edge Computing with Energy Harvesting. - Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network. - Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal:
Neural Approaches for Data Driven Dependency Parsing in Sanskrit. - Ebin Zacharias, Martin Teuchler, Bénédicte Bernier:
Image Processing Based Scene-Text Detection and Recognition with Tesseract. - Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine:
Meta-Meta-Classification for One-Shot Learning. - Roland Herzog, Eric Legler:
First-Order Methods for Optimal Experimental Design Problems with Bound Constraints. - Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin:
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. - Peter Sjögårde, Per Ahlgren, Ludo Waltman:
Algorithmic labeling in hierarchical classifications of publications: Evaluation of bibliographic fields and term weighting approaches. - István András Seres:
On Blockchain Metatransactions. - Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki:
Fast Soft Color Segmentation. - Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung:
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning. - Mahdi Kherad, Amir Jalaly Bidgoly:
Recommendation system using a deep learning and graph analysis approach. - András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán:
A stochastic approach to handle knapsack problems in the creation of ensembles. - Toni Adame, Marc Carrascosa, Boris Bellalta, Iván Pretel, Iñaki Etxebarria:
Channel load aware AP / Extender selection in Home WiFi networks using IEEE 802.11k/v. - Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li:
Incorporating Multiple Cluster Centers for Multi-Label Learning. - Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci:
Show Us the Way: Learning to Manage Dialog from Demonstrations. - Hideki Oki, Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
Triplet Loss for Knowledge Distillation. - Ebin Zacharias, Didier Stricker, Martin Teuchler, Kripasindhu Sarkar:
Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle. - Mathis Linger, Mhamed Hajaiej:
Batch Clustering for Multilingual News Streaming. - Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck:
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme. - Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? - Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Félix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer F. Rana, Schahram Dustdar, Rajkumar Buyya:
ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments. - Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction. - Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu:
GEVO: GPU Code Optimization using Evolutionary Computation. - Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal:
Modeling Extent-of-Texture Information for Ground Terrain Recognition. - Marc van Zee, Dragan Doder, Leendert W. N. van der Torre, Mehdi Dastani, Thomas Icard, Eric Pacuit:
Intention as Commitment toward Time. - Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset. - Wei Peng, Weien Zhou, Jun Zhang, Wen Yao:
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. - Mohammadamin Tavakoli, Pierre Baldi:
Continuous Representation of Molecules Using Graph Variational Autoencoder. - Konstantinos Makantasis, Athanasios Voulodimos, Anastasios D. Doulamis, Nikolaos Bakalos, Nikolaos Doulamis:
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition. - Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu:
Detailed 2D-3D Joint Representation for Human-Object Interaction. - Frank Nielsen:
Hilbert geometry of the Siegel disk: The Siegel-Klein disk model. - Yavuz Selim Kartal, Busra Guvenen, Mücahid Kutlu:
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness. - Javier Del Ser, Ibai Lana, Eric L. Manibardo, Izaskun Oregi, Eneko Osaba, Jesus L. Lobo, Miren Nekane Bilbao, Eleni I. Vlahogianni:
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment. - Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor:
Finding the Optimal Network Depth in Classification Tasks. - Maria Inês Silva, Roberto Henriques:
Exploring time-series motifs through DTW-SOM. - Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, Rajkumar Buyya:
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). - Yekun Chai, Jin Shuo, Xinwen Hou:
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. - Juana Valeria Hurtado, Rohit Mohan, Abhinav Valada:
MOPT: Multi-Object Panoptic Tracking. - Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. - Sebastian Baltes, Markus Wagner:
An Annotated Dataset of Stack Overflow Post Edits. - Zhipeng Cheng, Minghui LiWang, Ning Chen, Hongyue Lin, Zhibin Gao, Lianfen Huang:
Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network. - Pablo V. A. Barros, Nikhil Churamani, Alessandra Sciutti:
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition. - Maarten W. A. Wijntjes, Mitchell van Zuijlen:
Sketch and test: visual crowd research using p5.js. - Eleni Bila, Simon Doherty, Brijesh Dongol, John Derrick, Gerhard Schellhorn, Heike Wehrheim:
Defining and Verifying Durable Opacity: Correctness for Persistent Software Transactional Memory. - Isabelle van der Vegt, Bennett Kleinberg:
Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19. - Nikolaos Lykousas, Constantinos Patsakis:
Large-scale analysis of grooming in modern social networks. - Friedrich Kruber, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch:
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles. - Stephen Wolfram:
A Class of Models with the Potential to Represent Fundamental Physics. - Bartosz Piotrowski, Josef Urban:
Stateful Premise Selection by Recurrent Neural Networks. - Sebastiaan J. van Zelst:
Translating Workflow Nets to Process Trees: An Algorithmic Approach. - Stefan Karlsson:
Exploratory Test Agents for Stateful Software Systems. - Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li:
Learning to Predict Context-adaptive Convolution for Semantic Segmentation. - Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. - Wei-Chang Yeh:
Novel Binary-Addition Tree Algorithm (BAT) for Binary-State Network Reliability Problem. - Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. - Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh, Samantha Silvers, Suzan Arslanturk, Douglas J. Taatjes, Lars Larsson, Bhanu P. Jena, Domenico L. Gatti:
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images. - Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. - Zhiwei Chen, Aoqian Zhang:
A Survey of Approximate Quantile Computation on Large-scale Data (Technical Report). - Elwin Huaman, Elias Kärle, Dieter Fensel:
Duplication Detection in Knowledge Graphs: Literature and Tools. - Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo:
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. - Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques. - Avik Hati, Matteo Bustreo, Diego Sona, Vittorio Murino, Alessio Del Bue:
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans. - Alkida Balliu, Sebastian Brandt, Dennis Olivetti:
Distributed Lower Bounds for Ruling Sets. - Xi Wang, Chen Wang:
Time Series Data Cleaning: A Survey. - Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo:
IDDA: a large-scale multi-domain dataset for autonomous driving. - Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung:
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator. - Hiroki Kitano, Koujin Takeda:
Belief Propagation for Maximum Coverage on Weighted Bipartite Graph and Application to Text Summarization. - Christian Alrabbaa, Franz Baader, Stefan Borgwardt, Patrick Koopmann, Alisa Kovtunova:
Finding Small Proofs for Description Logic Entailments: Theory and Practice (Extended Technical Report). - Joscha Gedicke, Sjoerd Geevers, Ilaria Perugia, Joachim Schöberl:
A polynomial-degree-robust a posteriori error estimator for Nédélec discretizations of magnetostatic problems. - Ignasi Sau, Uéverton S. Souza:
Hitting forbidden induced subgraphs on bounded treewidth graphs. - Alireza Borjali, Martin Magneli, David Shin, Henrik Malchau, Orhun K. Muratoglu, Kartik M. Varadarajan:
Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation. - Simon Busan, Luca E. Schäfer, Stefan Ruzika:
The two player shortest path network interdiction problem. - Zifeng Guo, Joao P. Leitao, Nuno Eduardo Simões, Vahid Moosavi:
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks. - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
An integrated light management system with real-time light measurement and human perception. - Petr Kuznetsov, Thibault Rieutord, Yuan He:
An Asynchronous Computability Theorem for Fair Adversaries. - George De Ath, Jonathan E. Fieldsend, Richard M. Everson:
What do you Mean? The Role of the Mean Function in Bayesian Optimisation. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Philip Wellnitz:
Faster Approximate Pattern Matching: A Unified Approach. - Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan:
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. - Toby Jia-Jun Li, Jingya Chen, Brandon Canfield, Brad A. Myers:
Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems. - Georg Rehm, Dimitrios Galanis, Penny Labropoulou, Stelios Piperidis, Martin Welß, Ricardo Usbeck, Joachim Köhler, Miltos Deligiannis, Katerina Gkirtzou, Johannes Fischer, Christian Chiarcos, Nils Feldhus, Julián Moreno Schneider, Florian Kintzel, Elena Montiel-Ponsoda, Víctor Rodríguez-Doncel, John P. McCrae, David Laqua, Irina Patricia Theile, Christian Dittmar, Kalina Bontcheva, Ian Roberts, Andrejs Vasiljevs, Andis Lagzdins:
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability. - Aditi Mavalankar:
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion. - Aditya Kapilavai, Georg Nawratil:
On homotopy continuation based singularity distance computations for 3-RPR manipulators. - Anjalie Field, Yulia Tsvetkov:
Unsupervised Discovery of Implicit Gender Bias. - Patrick Scheffe, Janis Maczijewski, Maximilian Kloock, Alexandru Kampmann, Andreas Derks, Stefan Kowalewski, Bassam Alrifaee:
Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education. - Yun Zeng, Siqi Zuo, Dongcai Shen:
DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications. - Cole Smith, Eric Lin, Dennis E. Shasha:
Robotic Room Traversal using Optical Range Finding. - Lea Dieudonat, Kelvin Han, Phyllicia Leavitt, Esteban Marquer:
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings. - Aleksa Stankovic:
On Regularity of Max-CSPs and Min-CSPs. - Glencora Borradaile, Erin Wolf Chambers, David Eppstein, William Maxwell, Amir Nayyeri:
Low-stretch spanning trees of graphs with bounded width. - Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson:
ECCOLA - a Method for Implementing Ethically Aligned AI Systems. - Henry Tang, Sarah Nadi:
Can We Use Stack Overflow as a Source of Explainable Bug-fix Data? - Samuel Balco, Alexander Kurz:
Completeness of Nominal PROPs. - Kyousuke Yamashita, Ryuji Masui, Xiang Zhou, Chenxi Wang, Aleksandar Shurbevski, Hiroshi Nagamochi, Tatsuya Akutsu:
Enumerating Chemical Graphs with Two Disjoint Cycles Satisfying Given Path Frequency Specifications. - Omar Sosa-Tzec, Erik Stolterman Bergqvist, Marty A. Siegel:
From Horseback Riding to Changing the World: UX Competence as a Journey. - Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Knowledge-Based Visual Question Answering in Videos. - Zitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao:
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks. - Omri Lev, Anatoly Khina:
Gauss-Markov Source Tracking with Side Information: Lower Bounds. - Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang:
Deep Reinforcement Learning for Adaptive Learning Systems. - Guosheng Fu, Zhu Wang:
POD-(H)DG Method for Incompressible Flow Simulations. - Arpan Mukherjee, Anna Kuechle Szweda, Andrew Alegria, Rahul Rai, Tarunraj Singh:
Identifying Weakly Connected Subsystems in Building Energy Model for Effective Load Estimation in Presence of Parametric Uncertainty. - Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian:
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks. - Henrik Ingo, David Daly:
Automated System Performance Testing at MongoDB. - Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. - Aaron Bernstein, Jan van den Brand, Maximilian Probst Gutenberg, Danupon Nanongkai, Thatchaphol Saranurak, Aaron Sidford, He Sun:
Fully-Dynamic Graph Sparsifiers Against an Adaptive Adversary. - Daniel Abitz, Tom Hartmann, Martin Middendorf:
A Weighted Population Update Rule for PACO Applied to the Single Machine Total Weighted Tardiness Problem. - Cameron Musco, Christopher Musco:
Projection-Cost-Preserving Sketches: Proof Strategies and Constructions. - Haoze Wu, Alex Ozdemir, Aleksandar Zeljic, Ahmed Irfan, Kyle Julian, Divya Gopinath, Sadjad Fouladi, Guy Katz, Corina S. Pasareanu, Clark W. Barrett:
Parallelization Techniques for Verifying Neural Networks. - Haseeb Ur Rahman, Madjid Merabti, David Llewellyn-Jones, Sud Sudirman, Anwar Ghani:
Structuring Communities for Sharing Human Digital Memories in a Social P2P Network. - Andras Rozsa, Zheng Zhong, Terrance E. Boult:
Adversarial Attack on Deep Learning-Based Splice Localization. - Majid Mirzanezhad:
On the Approximate Nearest Neighbor Queries among Curves under the Fréchet Distance. - Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston, Y-Lan Boureau:
Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills. - Eric Koskinen, Kshitij Bansal:
Reducing Commutativity Verification to Reachability with Differencing Abstractions. - Anton Koval, Christoforos Kanellakis, Emil Vidmark, Jakub Haluska, George Nikolakopoulos:
A Subterranean Virtual Cave World for Gazebo based on the DARPA SubT Challenge. - Justin Holmgren, Alexander S. Wein:
Counterexamples to the Low-Degree Conjecture. - You Li, Javier Ibañez-Guzmán:
Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems. - Atif Mashkoor, Alexander Egyed, Robert Wille:
Model-driven Engineering of Safety and Security Systems: A Systematic Mapping Study. - Dongfang Zhao:
Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach. - Ingo Wald:
A Simple, General, and GPU Friendly Method for Computing Dual Mesh and Iso-Surfaces of Adaptive Mesh Refinement (AMR) Data. - Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork:
Learning-to-Rank with BERT in TF-Ranking. - Joshua Ainslie, Santiago Ontañón, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai:
ETC: Encoding Long and Structured Data in Transformers. - Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. - Behzad Hassani, Pooran Singh Negi, Mohammad H. Mahoor:
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient. - Shenli Yuan, Lin Shao, Connor L. Yako, Alex Gruebele, J. Kenneth Salisbury:
Design and Control of Roller Grasper V2 for In-Hand Manipulation. - William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav:
A Formal Hierarchy of RNN Architectures. - Peri Akiva, Kristin J. Dana, Peter Oudemans, Michael Mars:
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors. - Will Pazner:
Sparse invariant domain preserving discontinuous Galerkin methods with subcell convex limiting. - Bülent Karasözen, Murat Uzunca, Süleyman Yildiz:
Structure-preserving reduced-order modelling of Korteweg de Vries equation. - Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. - Zhengyang Feng, Qianyu Zhou, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma:
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum. - Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao:
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection. - Prashanta Saha, Upulee Kanewala:
Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing. - Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga:
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective. - Mingqing Liu, Gang Wang, Georgios B. Giannakis, Mingliang Xiong, Qingwen Liu, Hao Deng:
Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality. - Thanh Huy Nguyen, Sylvie Daniel, Didier Guériot, Christophe Sintes, Jean-Marc Le Caillec:
Super-Resolution-based Snake Model - An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image. - Kuo Chun Tsai, Zhu Han:
Achieving Correlated Equilibrium by Studying Opponent's Behavior Through Policy-Based Deep Reinforcement Learning. - Juntao Huang, Yuan Liu, Wei Guo, Zhanjing Tao, Yingda Cheng:
An adaptive multiresolution interior penalty discontinuous Galerkin method for wave equations in second order form. - Masaya Ikoma, Brian Kenji Iwana, Seiichi Uchida:
Effect of Text Color on Word Embeddings. - Min Zhu, David G. M. Mitchell, Michael Lentmaier, Daniel J. Costello Jr.:
Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes. - Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis:
DGL-KE: Training Knowledge Graph Embeddings at Scale. - Wenchao Gao, Matthew Booker, Jiadong Wang:
Self-Exploration in Complex Unknown Environments using Hybrid Map Representation. - D. Sabari Nathan, M. Parisa Beham, S. Md. Mansoor Roomi:
Moire Image Restoration using Multi Level Hyper Vision Net. - Chaoyang He, Murali Annavaram, Salman Avestimehr:
FedNAS: Federated Deep Learning via Neural Architecture Search. - Narayana Reddy A, Ranjita Das:
Color Image Segmentation using Adaptive Particle Swarm Optimization and Fuzzy C-means. - Yoji Yamato:
Proposal of Automatic FPGA Offloading for Applications Loop Statements. - Gabriel Tjio, Xulei Yang, Jia Mei Hong, Sum Thai Wong, Vanessa Ding, Andre Choo, Yi Su:
Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks. - Ruoteng Li, Xiaoyi Zhang, Shaodi You, Yu Li:
Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network. - Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo:
On the (Un)Reliability of Privacy Policies in Android Apps. - Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh:
sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts. - Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia:
On the Synergies between Machine Learning and Stereo: a Survey. - Julian Marx, Milad Mirbabaie, Christian Ehnis:
Sense-Giving Strategies of Media Organisations in Social Media Disaster Communication: Findings from Hurricane Harvey. - Julian Marx, Milad Mirbabaie, Stefan Stieglitz:
You are now an Influencer! Measuring CEO Reputation in Social Media. - Milad Mirbabaie, Jennifer Fromm, Simone Löppenberg, Sophie Meinig, Matthias Reuße:
The Potential of Social Media Analytics for Improving Social Media Communication of Emergency Agencies. - Stefan Stieglitz, Tobias Brockmann, Milad Mirbabaie:
How context impacts on media choice. - Deborah Bunker, Milad Mirbabaie, Stefan Stieglitz:
Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication. - Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. - Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. - Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng:
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton. - Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li:
DAPnet: A double self-attention convolutional network for segmentation of point clouds. - Adnan Darwiche:
Three Modern Roles for Logic in AI. - Chris Reinke:
Time Adaptive Reinforcement Learning. - Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Remote Empirical Coordination. - Gerard Wilkinson, Dan Jackson, Andrew Garbett, Reuben Kirkham, Kyle Montague:
CryptoCam: Privacy Conscious Open Circuit Television. - Abdulla Ayyad, Mohamad Chehadeh, Mohammad I. Awad, Yahya H. Zweiri:
Real-time System Identification Using Deep Learning for Linear Processes with Application to Unmanned Aerial Vehicles. - Italo Epicoco, Catiuscia Melle, Massimo Cafaro, Marco Pulimeno, Giuseppe Morleo:
UDDSketch: Accurate Tracking of Quantiles in Data Streams. - Alina Belko, Konstantin Dobratulin, Andrey Vladimirovich Kuznetsov:
Feathers dataset for Fine-Grained Visual Categorization. - Nassim Dehouche:
Accumulator Bet Selection Through Stochastic Diffusion Search. - Hui Li, Xi Yang, ZhenMing Li, Tianlun Zhang:
Underwater image enhancement with Image Colorfulness Measure. - Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan:
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. - Yongqiang Cai, Qianxiao Li, Zuowei Shen:
Optimization in Machine Learning: A Distribution Space Approach. - Vivek B. S., R. Venkatesh Babu:
Single-step Adversarial training with Dropout Scheduling. - Zhuan Khye Koh, Bento Natura, László A. Végh:
A Strongly Polynomial Label-Correcting Algorithm for Linear Systems with Two Variables per Inequality. - Hafez Farazi, Sven Behnke:
Motion Segmentation using Frequency Domain Transformer Networks. - Gilsoo Lee, Walid Saad, Mehdi Bennis:
An Online Framework for Ephemeral Edge Computing in the Internet of Things. - Ihab S. Mohamed, Guillaume Allibert, Philippe Martinet:
Model Predictive Path Integral Control Framework for Partially Observable Navigation: A Quadrotor Case Study. - Mingliang Xiong, Qingwen Liu, Gang Wang, Georgios B. Giannakis, Chuan Huang:
Resonant Beam Communications: Principles and Designs. - Spyridon Thermos, Petros Daras, Gerasimos Potamianos:
A Deep Learning Approach to Object Affordance Segmentation. - Yuchen Xiao, Joshua Hoffman, Christopher Amato:
Macro-Action-Based Deep Multi-Agent Reinforcement Learning. - Saeed Moazami, Peggy Doerschuk:
Modeling Survival in model-based Reinforcement Learning. - Jacek Kibilda, Allen B. MacKenzie, Mohammad J. Abdel-Rahman, Seong Ki Yoo, Lorenzo Galati-Giordano, Simon L. Cotton, Nicola Marchetti, Walid Saad, William G. Scanlon, Adrian García-Rodríguez, David López-Pérez, Holger Claussen, Luiz A. DaSilva:
Indoor Millimeter-Wave Systems: Design and Performance Evaluation. - Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu:
Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module. - Anton O. Bassin, Maxim Buzdalov:
The $(1+(λ, λ))$ Genetic Algorithm for Permutations. - Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With:
Dual Embedding Expansion for Vehicle Re-identification. - Iyolita Islam, Kazi Md. Munim, Shahrima Jannat Oishwee, A. K. M. Najmul Islam, Muhammad Nazrul Islam:
A Critical Review of Concepts, Benefits, and Pitfalls of Blockchain Technology Using Concept Map. - Shiqi Zhang, Peter Stone:
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots. - Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker:
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. - Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller:
CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices. - Phani Chitti:
Data Model, Collection and Evaluation Framework for Local Energy Systems. - Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. - Fabian Latorre, Paul Rolland, Volkan Cevher:
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization. - Emre Aksan, Peng Cao, Manuel Kaufmann, Otmar Hilliges:
Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction. - Kaustubh D. Dhole, Christopher D. Manning:
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation. - Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. - Ghani Ur Rehman, Anwar Ghani, Muhammad Zubair, Shahbaz Ahmad Khan Ghayyure, Shad Muhammad:
Honesty Based Democratic Scheme to Improve Community Cooperation for IoT Based Vehicular Delay Tolerant Networks. - Fabian Neumann, Tom Brown:
Transmission Expansion Planning Using Cycle Flows. - Soheil Behnezhad, Mahsa Derakhshan:
Stochastic Weighted Matching: $(1-ε)$ Approximation. - Wenhan Xia, Hongxu Yin, Niraj K. Jha:
Efficient Synthesis of Compact Deep Neural Networks. - Jerrod Parker, Shakti Kumar, Joe Roussy:
Adaptive Attention Span in Computer Vision. - Marco Salvalaglio, Maximilian Selch, Axel Voigt, Steven M. Wise:
Doubly Degenerate Diffuse Interface Models of Anisotropic Surface Diffusion. - Victor R. Kebande, Nickson M. Karie, Adeyemi Richard Ikuesan, Abdullah Al-Ghushami, H. S. Venter:
Detecting Centralized Architecture-Based Botnets using Travelling Salesperson Non-Deterministic Polynomial-Hard problem, TSP-NP Technique. - (Withdrawn) Fewer colors for perfect simulation of proper colorings.
- Autumn Toney, Akshat Pandey, Wei Guo, David A. Broniatowski, Aylin Caliskan:
Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus. - Masoud Jalili Sabet, Philipp Dufter, Hinrich Schütze:
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. - Vaclav Hapla, Matthew G. Knepley, Michael Afanasiev, Christian Boehm, Martin van Driel, Lion Krischer, Andreas Fichtner:
Fully Parallel Mesh I/O using PETSc DMPlex with an Application to Waveform Modeling. - Brent Biseda, Katie Mo:
Enhancing Pharmacovigilance with Drug Reviews and Social Media. - Christopher Duffy, Sonja Linghui Shan:
Convex Hulls and Simple Colourings in Directed and $2$-edge-Coloured Graphs. - Jin Cui, Yushun Wang, Chaolong Jiang:
Arbitrarily high-order structure-preserving schemes for the Gross-Pitaevskii equation with angular momentum rotation in three dimensions. - Yindi Yang, Shun Zhang, Feifei Gao, Jianpeng Ma, Octavia A. Dobre:
Graph Neural Network based Channel Tracking for Massive MIMO Networks. - Osama Zwaid Alsulami, Sarah O. M. Saeed, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Resource Allocation in Co-existing Optical Wireless HetNets. - Yong Wang, Qi Liu, Hongyu Zu, Xiao Liu, Ruichao Xie, Feng Wang:
An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network. - Amanpreet Singh, Vedanuj Goswami, Devi Parikh:
Are we pretraining it right? Digging deeper into visio-linguistic pretraining. - Jonah Philion, Amlan Kar, Sanja Fidler:
Learning to Evaluate Perception Models Using Planner-Centric Metrics. - Jingjing Liang, Ruyi Ji, Jiajun Jiang, Yiling Lou, Yingfei Xiong, Gang Huang:
Interactive Patch Filtering as Debugging Aid. - Haijin Zeng, Xiaozhen Xie, Jifeng Ning:
Tensor completion using enhanced multiple modes low-rank prior and total variation. - Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai, Ye Yang, Yehia Massoud:
A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT. - Keenan Burnett, Jingxing Qian, Xintong Du, Linqiao Liu, David J. Yoon, Tianchang Shen, Susan Sun, Sepehr Samavi, Michael J. Sorocky, Mollie Bianchi, Kaicheng Zhang, Arkady Arkhangorodsky, Quinlan Sykora, Shichen Lu, Yizhou Huang, Angela P. Schoellig, Timothy D. Barfoot:
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition. - Hao Li, Aozhou Wu, Wen Fang, Qingqing Zhang, Mingqing Liu, Qingwen Liu, Wei Chen:
Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems. - Cheng Feng, Xiao Liang, Daniel Schneegass, Pengwei Tian:
RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Process State Estimation. - Homanga Bharadhwaj, Kevin Xie, Florian Shkurti:
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. - Meng Huang, Zhiqiang Xu:
Performance bound of the intensity-based model for noisy phase retrieval. - Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci:
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. - Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira, Ana Busic:
Energy Storage Optimization for Grid Reliability. - Yujing Ma, Florin Rusu:
Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms. - Victor Rivera, Hamna Aslam, Alexandr Naumchev, Daniel de Carvalho, Mansur Khazeev, Manuel Mazzara:
Code Review in the Classroom. - Gerui Wang, Shuo Wang, Vivek Kumar Bagaria, David Tse, Pramod Viswanath:
Prism Removes Consensus Bottleneck for Smart Contracts. - Bryce Sandlund, Yinzhan Xu:
Faster Dynamic Range Mode. - Brian Kenji Iwana, Seiichi Uchida:
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher. - Mahmoud Abo Khamis, Phokion G. Kolaitis, Hung Q. Ngo, Dan Suciu:
Decision Problems in Information Theory. - Ismael Abdulrahman:
An Open Source Simulink Based Program for Simulating Power Systems Integrated with Renewable Energy Sources. - Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification. - Md Zobaer Hossain, Md Ashraful Rahman, Md. Saiful Islam, Sudipta Kar:
BanFakeNews: A Dataset for Detecting Fake News in Bangla. - Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar:
Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews. - Tomasz Piotr Kucner, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal:
Robust Frequency-Based Structure Extraction. - Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. - Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau:
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks. - Hongcai Xu, Junpeng Bao, Junqing Wang:
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning. - Dominik Winterer, Chengyu Zhang, Zhendong Su:
On the Unusual Effectiveness of Type-aware Mutations for Testing SMT Solvers. - Jakub Ruszil:
On synchronization of partial automata. - Merve Nur Cakir, Karl-Heinz Zimmermann:
On the decomposition of generalized semiautomata. - Endel Põder:
On the rules of science game. - Giannis Savva, Konstantinos Manousakis, Georgios Ellinas:
Network Coding-based Routing and Spectrum Allocation in Elastic Optical Networks for Enhanced Physical Layer Security. - Alessandro De Carli, Muriel Figueredo Franco, Andreas Gassmann, Christian Killer, Bruno Rodrigues, Eder J. Scheid, David Schönbächler, Burkhard Stiller:
WeTrace - A Privacy-preserving Mobile COVID-19 Tracing Approach and Application. - Sibei Yang, Guanbin Li, Yizhou Yu:
Graph-Structured Referring Expression Reasoning in The Wild. - Joanna Sendorek, Tomasz Szydlo, Mateusz Windak, Robert Brzoza-Woch:
Dataset for anomalies detection in 3D printing. - Bart M. P. Jansen, Jari J. H. de Kroon:
Preprocessing Vertex-Deletion Problems: Characterizing Graph Properties by Low-Rank Adjacencies. - Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li:
A Chinese Corpus for Fine-grained Entity Typing. - Ali Asadi, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Kiarash Mohammadi, Andreas Pavlogiannis:
Faster Algorithms for Quantitative Analysis of Markov Chains and Markov Decision Processes with Small Treewidth. - Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination. - Hongcai Xu, Junpeng Bao, Gaojie Zhang:
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning. - Ilkan Esiyok, Lucjan Hanzlik, Robert Künnemann, Lena Marie Budde, Michael Backes:
Trollthrottle - Raising the Cost of Astroturfing. - Vijayshree Vijayshree, Markus Frank, Steffen Becker:
Extended Abstract of Performance Analysis and Prediction of Model Transformation. - Sandeep Muvva, A. Eashaan Rao, Sridhar Chimalakonda:
BuGL - A Cross-Language Dataset for Bug Localization. - A. Karim Abu-Affash, Paz Carmi, Matthew J. Katz:
Minimizing Total Interference in Asymmetric Sensor Networks. - Chandan Biswas, Debasis Ganguly:
InfecTracer: Approximate Nearest Neighbors Retrieval of GPS Location Traces to Retrieve Susceptible Cases. - Hyeon-Seong Im, Si-Hyeon Lee:
Mobility-Assisted Covert Communication over Wireless Ad Hoc Networks. - A. Karim Abu-Affash, Sujoy Bhore, Paz Carmi, Joseph S. B. Mitchell:
Planar Bichromatic Bottleneck Spanning Trees. - Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam:
Local Differential Privacy based Federated Learning for Internet of Things. - Zarathustra Amadeus Goertzel:
Make E Smart Again. - Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. - Maria Castaldo, Tommaso Venturini, Paolo Frasca:
Junk News Bubbles: Modelling the Rise and Fall of Attention in Online Arenas. - Marko Jankovic, Mehmed Yüksel, Mohammad Mohammadzadeh Babr, Francesca Letizia, Vitali Braun:
Space Debris Ontology for ADR Capture Methods Selection. - Yulong Lu, Jianfeng Lu:
A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions. - Stefano Almi, Sandro Belz, Stefano Micheletti, Simona Perotto:
A Dimension-Reduction Model for Brittle Fractures on Thin Shells with Mesh Adaptivity. - An-Bao Xu:
Tensor Completion via a Low-Rank Approximation Pursuit. - Qianyu Zhou, Zhengyang Feng, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma:
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation. - Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song:
Intention Propagation for Multi-agent Reinforcement Learning. - Behnam Ojaghi Kahjogh, Mohammad Mahdi Dehshibi:
A supervised active learning method for identifying critical nodes in Wireless Sensor Network. - Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification. - Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. - Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang:
Fast GPU 3D Diffeomorphic Image Registration. - Vivek Chaudhary, Jagadeesh Harshan:
Fast-Forward Relaying Scheme to Mitigate Jamming Attacks by Full-Duplex Radios. - Or Sharir, Barak Peleg, Yoav Shoham:
The Cost of Training NLP Models: A Concise Overview. - Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, Avi Mendelson:
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. - Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini:
Autonomous task planning and situation awareness in robotic surgery. - Migran N. Gevorkyan, Dmitry S. Kulyabov, Anastasia V. Demidova, Anna V. Korolkova:
A practical approach to testing random number generators in computer algebra systems. - Ling Lo, Hong-Xia Xie, Hong-Han Shuai, Wen-Huang Cheng:
MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network. - Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun:
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. - Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Tree Echo State Autoencoders with Grammars. - Alexander Mozeika, Bo Li, David Saad:
The Space of Functions Computed By Deep Layered Machines. - Jakub Maksymilian Fober:
3D rectification with Visual Sphere perspective: an algebraic alternative for P4P pose estimation. - Magnus Wilson, Krzysztof Wnuk, Lars Bengtsson:
The implications of digitalization on business model change. - Sofia Eriksson:
Inverses of SBP-SAT finite difference operators approximating the first and second derivative. - Stefano Buzzi, Carmen D'Andrea, Alessio Zappone, Maria Fresia, Yongping Zhang, Shulan Feng:
Resource Allocation in Wireless Networks Assisted by Reconfigurable Intelligent Surfaces. - Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon:
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. - Ghani Ur Rehman, Anwar Ghani, Muhammad Zubair, Muhammad Imran Saeed, Dhananjay Singh:
SOS: Socially Omitting Selfishness in IoT for Smart and Connected Communities. - Andris Ambainis, Nikita Larka:
Quantum algorithms for computational geometry problems. - Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. - James Trimble:
An Algorithm for the Exact Treedepth Problem. - Omar S. Al-Kadi:
Knowledge Management Systems Requirements Specifications. - Shengchang Zhang, Jie Xiang, Weijian Han:
Machine Learning based Pallets Detection and Tracking in AGVs. - Keturahlee Coulibaly:
An overview of Intrusion Detection and Prevention Systems. - Shengchang Zhang, Ahmed E. I. Koubia, Khaled Abdul Karim Mohammed:
Traffic Lane Detection using FCN. - Ruchi Guo, Xu Zhang:
Solving Three-Dimensional Interface Problems with Immersed Finite Elements: A-Priori Error Analysis. - James Flamino, Christopher Abriola, Benjamin Zimmerman, Zhongheng Li, Joel Douglas:
Robust and Scalable Entity Alignment in Big Data. - Alexis Peppas, Geoffrey G. Xie, Charles Prince:
ferify: A Virtual Machine File Protection System against Zero-Day Attacks. - Patty Commins, David Liben-Nowell, Tina Liu, Kiran Tomlinson:
Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions. - Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao:
Adversarial Training for Large Neural Language Models. - Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman:
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. - Yi Yu, Hongsen He, Tao Yang, Xueyuan Wang, Rodrigo C. de Lamare:
Study of Diffusion Normalized Least Mean M-estimate Algorithms. - Gabriel Ghinita, Kien Nguyen, Mihai Maruseac, Cyrus Shahabi:
A Secure Location-based Alert System with Tunable Privacy-Performance Trade-off. - Ali Dasdan, Eric Van Lare, Bosko Zivaljevic:
How Reliable are University Rankings? - Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu:
Headless Horseman: Adversarial Attacks on Transfer Learning Models. - Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig:
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. - Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong:
Roundtrip: A Deep Generative Neural Density Estimator. - Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. - Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. - Damien Teney, Ehsan Abbasnejad, Anton van den Hengel:
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision. - Yefei Zha, Ruobing Li, Hui Lin:
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection. - Zixuan Hu, Pengbo Bo:
Developable B-spline surface generation from control rulings. - Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions. - Eric Zelikman, William Yin, Kenneth Wang:
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents. - Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu:
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. - Lu Qin, Longbin Lai, Kongzhang Hao, Zhongxin Zhou, Yiwei Zhao, Yuxing Han, Xuemin Lin, Zhengping Qian, Jingren Zhou:
Taming the Expressiveness and Programmability of Graph Analytical Queries. - Oladapo Afolabi, Allen Y. Yang, S. Shankar Sastry:
DeepSDF x Sim(3): Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation. - Archna Bhatia, Adam Dalton, Brodie Mather, Sashank Santhanam, Samira Shaikh, Alan Zemel, Tomek Strzalkowski, Bonnie J. Dorr:
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation. - Z. George Mou:
Black-White Array: A New Data Structure for Dynamic Data Sets. - Dimitris Sakavalas, Lewis Tseng, Nitin H. Vaidya:
Asynchronous Byzantine Approximate Consensus in Directed Networks. - Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori:
Colonoscope tracking method based on shape estimation network. - Congcong Wen, Xiang Li, Xiaojing Yao, Ling Peng, Tianhe Chi:
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network. - Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato:
Intelligent Reflecting Surface-Aided Backscatter Communications. - Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Lizhuang Ma, Cewu Lu, Weiming Wang:
Semantic Correspondence via 2D-3D-2D Cycle. - Kang Sun, Daliang Xu, Dongwei Chen, Xu Cheng, Dong Tong:
S3Library: Automatically Eliminating C/C++ Buffer Overflow using Compatible Safer Libraries. - Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal:
Securing Internet Applications from Routing Attacks. - Yang Yang, Congcong Wang, Chunyan Feng, Caili Guo, Julian Cheng, Zhimin Zeng:
A Generalized Dimming Control Scheme for Visible Light Communications. - Guillermo Baltra, Basileal Imana, Wuxuan Jiang, Aleksandra Korolova:
On the Data Fight Between Cities and Mobility Providers. - Geoffrey Z. Thompson, Ranjan Maitra:
CatSIM: A Categorical Image Similarity Metric. - Nima Anari, Michal Derezinski:
Isotropy and Log-Concave Polynomials: Accelerated Sampling and High-Precision Counting of Matroid Bases. - Zongchen Chen, Kuikui Liu, Eric Vigoda:
Rapid Mixing of Glauber Dynamics up to Uniqueness via Contraction. - Eric Cancès, Gaspard Kemlin, Antoine Levitt:
Convergence analysis of direct minimization and self-consistent iterations. - Sheng-Yeh Chen, Yung-Yu Chuang:
Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning. - Julien Bensmail, Hervé Hocquard, Dimitri Lajou, Éric Sopena:
Further Evidence Towards the Multiplicative 1-2-3 Conjecture. - Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, Monojit Choudhury:
The State and Fate of Linguistic Diversity and Inclusion in the NLP World. - Monika Henzinger, Shahbaz Khan, Richard Paul, Christian Schulz:
Dynamic Matching Algorithms in Practice. - Hanbaek Lyu, Christopher Strohmeier, Georg Menz, Deanna Needell:
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF. - Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni:
Compositionality and Generalization in Emergent Languages. - Bosco García-Archilla, Julia Novo, Samuele Rubino:
Error analysis of proper orthogonal decomposition data assimilation schemes for the Navier-Stokes equations. - Michal Dory, Yuval Efron, Sagnik Mukhopadhyay, Danupon Nanongkai:
Distributed Weighted Min-Cut in Nearly-Optimal Time. - Mengshuo Jia, Yi Wang, Chen Shen, Gabriela Hug:
Privacy-preserving Distributed Probabilistic Load Flow. - Qiang Zou:
Robust and efficient tool path generation for poor-quality triangular mesh surface machining. - Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin:
Discovering Business Process Simulation Models in the Presence of Multitasking. - Roman Kail, Alexey Zaytsev, Evgeny Burnaev:
Recurrent Convolutional Neural Networks help to predict location of Earthquakes. - Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Spatial Action Maps for Mobile Manipulation. - Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo:
Variational Inference for Learning Representations of Natural Language Edits. - Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image-Text Matching and Retrieval. - Stefano Massucco, Paola Pongiglione, Federico Silvestro, Mario Paolone, Fabrizio Sossan:
Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support. - Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan:
Cosmetic-Aware Makeup Cleanser. - Fredrik Hellström, Giuseppe Durisi:
Generalization Error Bounds via $m$th Central Moments of the Information Density. - Martina Contisciani, Eleanor A. Power, Caterina De Bacco:
Community detection with node attributes in multilayer networks. - Alexander Kleff, Frank Schulz, Jakob Wagenblatt, Tim Zeitz:
Efficient Route Planning with Temporary Driving Bans, Road Closures, and Rated Parking Areas. - Xiangyu Zhu, Zhenbo Luo, Pei Fu, Xiang Ji:
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera. - Matthias Rath, Alexandru Paul Condurache:
Invariant Integration in Deep Convolutional Feature Space. - Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren:
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. - Andrei-Timotei Ardelean, Lucian Mircea Sasu:
Pose Manipulation with Identity Preservation. - Étienne André, Didier Lime, Olivier H. Roux:
Reachability and liveness in parametric timed automata. - Julia Lust, Alexandru Paul Condurache:
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. - Thomas Asikis, Johannes Klinglmayr, Dirk Helbing, Evangelos Pournaras:
How Value-Sensitive Design Can Empower Sustainable Consumption. - Pál András Papp, Roger Wattenhofer:
A General Stabilization Bound for Influence Propagation in Graphs. - Lukas L. Korcak, Darren F. Kavanagh:
Thermal Accelerated Aging Methods for Magnet Wire: A Review. - Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann:
Evolving Diverse Sets of Tours for the Travelling Salesperson Problem. - Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. - Juyong Zhang, Hongrui Cai, Yudong Guo, Zhuang Peng:
Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model. - Amir Javadpour:
Improving Resources Management in Network Virtualization by Utilizing a Software-Based Network. - Sören Bartels:
Error estimates for a class of discontinuous Galerkin methods for nonsmooth problems via convex duality relations. - Chengzhou Tang, Lu Yuan, Ping Tan:
LSM: Learning Subspace Minimization for Low-level Vision. - Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. - Jonas Oppenlaender, Simo Hosio:
Supporting Creative Work with Crowd Feedback Systems. - Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-yi Lee:
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT. - Iwona Skalna, Milan Hladík:
On preconditioning and solving an extended class of interval parametric linear systems. - Yuqing Wang, Mika V. Mäntylä, Serge Demeyer, Kristian Wiklund, Sigrid Eldh, Tatu Kairi:
Software Test Automation Maturity - A Survey of the State of the Practice. - Davide Lasi, Lukas Saul:
A System Dynamics Model of Bitcoin: Mining as an Efficient Market and the Possibility of "Peak Hash". - Zhengwei Wang, Qi She, Tejo Chalasani, Aljosa Smolic:
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition. - Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer:
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. - Jens Nevens, Paul Van Eecke, Katrien Beuls:
A Practical Guide to Studying Emergent Communication through Grounded Language Games. - Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. - Sujoy Bhore, Paz Carmi, Sudeshna Kolay, Meirav Zehavi:
Parameterized Study of Steiner Tree on Unit Disk Graphs. - Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. - László Csató, Dóra Gréta Petróczy:
A comprehensive analysis of soccer penalty shootout designs. - Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
End-to-End Learning for Video Frame Compression with Self-Attention. - Dongkai Wang, Shiliang Zhang:
Unsupervised Person Re-identification via Multi-label Classification. - Ya Xiong, Yuanyue Ge, Pål Johan From:
Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting Robots. - Andreas Galanis, Daniel Stefankovic, Eric Vigoda:
The complexity of approximating averages on bounded-degree graphs. - Maanak Gupta, Mahmoud Abdelsalam, Sudip Mittal:
Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case. - Shinji Watanabe, Michael I. Mandel, Jon Barker, Emmanuel Vincent:
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings. - Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato:
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation. - Pierpaolo Santucci, Emiliano Ingrassia, Giulio Picierro, Marco Cesati:
MemShield: GPU-assisted software memory encryption. - Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén:
Thompson Sampling for Linearly Constrained Bandits. - Ralf Gulde, Marc Tuscher, Akos Csiszar, Oliver Riedel, Alexander Verl:
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems. - Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr:
A Revised Generative Evaluation of Visual Dialogue. - Ehsan Farzadnia, Hossein Shirazi, Alireza Nowroozi:
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm. - Niloofar Hezarjaribi, Zhila Esna Ashari, James F. Frenzel, Hassan Ghasemzadeh, Saied Hemati:
Personality Assessment from Text for Machine Commonsense Reasoning. - Vitaly Vanchurin:
Towards a theory of machine learning. - James-A. Goulet, Luong Ha Nguyen, Saeid Amiri:
Tractable Approximate Gaussian Inference for Bayesian Neural Networks. - Hamed Rahimi, Dhayananth Dharmalingam:
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV). - Tesfamariam M. Abuhay, Yemisrach G. Getinet, Oleg G. Metsker, Alexey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis. - Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MPNet: Masked and Permuted Pre-training for Language Understanding. - Peiliang Li, Jieqi Shi, Shaojie Shen:
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking. - Gil Shomron, Uri C. Weiser:
Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks. - Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose:
A Novel Multi-Agent System for Complex Scheduling Problems. - Jeff Johnson:
Efficient, arbitrarily high precision hardware logarithmic arithmetic for linear algebra. - David B. de Jong, Federico Paredes-Vallés, Guido C. H. E. de Croon:
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study. - Haitao Leng, Yanping Chen:
Residual-type a posteriori error analysis of HDG methods for Neumann boundary control problems. - Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. - Peter Hillmann, Frank Tietze, Gabi Dreo Rodosek:
Tracemax: A Novel Single Packet IP Traceback Strategy for Data-Flow Analysis. - Yingji Zhong, Xiaoyu Wang, Shiliang Zhang:
Robust Partial Matching for Person Search in the Wild. - F. N. U. Shweta, Karthik Murugadoss, Samir Awasthi, A. J. Venkatakrishnan, Arjun Puranik, Martin Kang, Brian W. Pickering, John C. O'Horo, Philippe R. Bauer, Raymund R. Razonable, Paschalis Vergidis, Zelalem Temesgen, Stacey Rizza, Maryam Mahmood, Walter R. Wilson, Douglas Challener, Praveen Anand, Matt Liebers, Zainab Doctor, Eli Silvert, Hugo Solomon, Tyler Wagner, Gregory J. Gores, Amy W. Williams, John D. Halamka, Venky Soundararajan, Andrew D. Badley:
Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis. - Mario Golling, Robert Koch, Peter Hillmann, Volker Eiseler, Lars Stiemert, Andres Rekker:
On the Evaluation of Military Simulations: Towards A Taxonomy of Assessment Criteria. - Lars Diening, Toni Scharle, Endre Süli:
Uniform Hölder-norm bounds for finite element approximations of second-order elliptic equations. - Liangjie Chen, Joseph Euzebe Tate:
Hot-Starting the Ac Power Flow with Convolutional Neural Networks. - Satoshi Takabe, Tadashi Wadayama:
Deep Unfolded Multicast Beamforming. - Abhishek Niranjan, Mukesh Sharma, Sai Bharath Chandra Gutha, M. Ali Basha Shaik:
WHALETRANS: E2E WHisper to nAturaL spEech conversion using modified TRANSformer network. - Patrick Damme, Annett Ungethüm, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model. - Marco Di Renzo, Alessio Zappone, Mérouane Debbah, Mohamed-Slim Alouini, Chau Yuen, Julien de Rosny, Sergei A. Tretyakov:
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead. - Dmitry Kolmakov, Xuecang Zhang:
A Generalization of the Allreduce Operation. - Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi:
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning. - Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim:
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Yukio Ohsawa:
COVID-19 Should be Suppressed by Mixed Constraints -- from Simulations on Constrained Scale-Free Networks. - Menel Rahrah, Luis A. Lopez-Peña, Fred J. Vermolen, Bernard Meulenbroek:
Network-inspired versus Kozeny-Carman based permeability-porosity relations applied to Biot's poroelasticity model. - Maya Aghaei, Matteo Bustreo, Pietro Morerio, Nicolò Carissimi, Alessio Del Bue, Vittorio Murino:
Complex-Object Visual Inspection via Multiple Lighting Configurations. - Mahdi Fahmideh, Jafar Habibi, Fereidoon Shams, Sedigheh Khoshnevis:
Criteria Based Evaluation Framework for Service Oriented Methodologies. - Mahdi Fahmideh, Pooyan Jamshidi, Fereidoon Shams:
A Procedure for Extracting Software Development Process Patterns. - Mahdi Fahmideh, Mohsen Sharifi, Pooyan Jamshidi, Fereidoon Shams, Hassan Haghighi:
Process Patterns for Service Oriented Development. - Chenglin Fan, Benjamin Raichel:
Linear Expected Complexity for Directional and Multiplicative Voronoi Diagrams. - Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yufeng Li:
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. - Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang:
Energy-Based Imitation Learning. - Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva, João Manuel Portela da Gama:
Multi-label Stream Classification with Self-Organizing Maps. - Patrick E. Farrell, Lawrence Mitchell, L. Ridgway Scott, Florian Wechsung:
A Reynolds-robust preconditioner for the Reynolds-robust Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations. - Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang:
Class Distribution Alignment for Adversarial Domain Adaptation. - Christina M. Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas S. A. Wallis, Matthias Bethge:
The Notorious Difficulty of Comparing Human and Machine Perception. - Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. - Ji Gan, Weiqiang Wang, Ke Lu:
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network. - Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits. - Keping Bi, Qingyao Ai, W. Bruce Croft:
A Review-based Transformer Model for Personalized Product Search. - Maria Chudnovsky, Jason King, Michal Pilipczuk, Pawel Rzazewski, Sophie Spirkl:
Finding large $H$-colorable subgraphs in hereditary graph classes. - Dmitriy Goncharov, Rostislav Starikov:
Improving correlation method with convolutional neural networks. - Ning Zhang, Susan T. Francis, Rayaz A. Malik, Xin Chen:
A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations. - Vivek Srivastava, Mayank Singh:
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation. - Matthias Schröder:
Admissibly Represented Spaces and Qcb-Spaces. - Franz-Josef Streit, Florian Fritz, Andreas Becher, Stefan Wildermann, Stefan Werner, Martin Schmidt-Korth, Michael Pschyklenk, Jürgen Teich:
Secure Boot from Non-Volatile Memory for Programmable SoC Architectures. - Nikolai Karpov, Qin Zhang, Yuan Zhou:
Collaborative Top Distribution Identifications with Limited Interaction. - Moin Nadeem, Anna Bethke, Siva Reddy:
StereoSet: Measuring stereotypical bias in pretrained language models. - Elias Chaibub Neto:
Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks. - Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. - Meysam Goodarzi, Darko Cvetkovski, Nebojsa Maletic, Jesús Gutiérrez, Eckhard Grass:
A Hybrid Bayesian Approach Towards Clock Offset and Skew Estimation in 5G Networks. - Haiguang Liao, Qingyi Dong, Xuliang Dong, Wentai Zhang, Wangyang Zhang, Weiyi Qi, Elias Fallon, Levent Burak Kara:
Attention Routing: track-assignment detailed routing using attention-based reinforcement learning. - Melih Bastopcu, Sennur Ulukus:
Information Freshness in Cache Updating Systems. - Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. - Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao:
Connecting Robust Shuffle Privacy and Pan-Privacy. - Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen:
Bringing Old Photos Back to Life. - Anton V. Eremeev:
On Non-Elitist Evolutionary Algorithms Optimizing Fitness Functions with a Plateau. - Igor Sfiligoi, David Schultz, Benedikt Riedel, Frank Würthwein, Steve Barnet, Vladimir Brik:
Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing. - Peter Robinson:
Consensus for Crosschain Communications. - Konstantinos Georgiou, Nikolaos Mittas, Lefteris Angelis, Alexander Chatzigeorgiou:
A Study of Knowledge Sharing related to Covid-19 Pandemic in Stack Overflow. - Yiyang Wang, Neda Masoud, Anahita Khojandi:
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation. - Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel:
Scale-free Collaborative Protocol Design for Synchronization of Homogeneous and Heterogeneous Discrete-time Multi-agent Systems. - Xing Di, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M. Patel:
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis. - Eugene Goldberg:
On Verifying Designs With Incomplete Specification. - Ulrich Langer, Olaf Steinbach, Fredi Tröltzsch, Huidong Yang:
Space-time finite element discretization of parabolic optimal control problems with energy regularization. - Maciej Skorski:
Revisiting Initialization of Neural Networks. - Laura Giordano, Valentina Gliozzi, Antonio Lieto, Nicola Olivetti, Gian Luca Pozzato:
Reasoning about Typicality and Probabilities in Preferential Description Logics. - Emilio Ferrara:
#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism. - Hyundong Cho, Jonathan May:
Grounding Conversations with Improvised Dialogues. - T. Gonzalez, M. A. de la Rubia, Kajetan Piotr Hincz, M. Comas-Lopez, Laia Subirats, Santi Fort, Sacha Gomez-Monivas:
Influence of COVID-19 confinement in students performance in higher education. - Ali Javed, Byung Suk Lee, Donna M. Rizzo:
A Benchmark Study on Time Series Clustering. - Tyler Crain:
Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with t<n/3 and O(n2) Messages and O(1) Round Expected Termination. - Haofei Xu, Juyong Zhang:
AANet: Adaptive Aggregation Network for Efficient Stereo Matching. - Kuan Hsieh, Ramji Venkataramanan:
Modulated Sparse Superposition Codes for the Complex AWGN Channel. - Eric Chu, Nabeel Gillani, Sneha Priscilla Makini:
Games for Fairness and Interpretability. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
ALPS: Active Learning via Perturbations. - Goodarz Mehr, Azim Eskandarian:
Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes. - Christoph Rösmann, Artemi Makarow, Torsten Bertram:
Stabilizing Quasi-Time-Optimal Nonlinear Model Predictive Control with Variable Discretization. - Hui Yuan, Yingyu Liang:
Learning Entangled Single-Sample Distributions via Iterative Trimming. - Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier:
Sparse aNETT for Solving Inverse Problems with Deep Learning. - Moritz Wolter, Shaohui Lin, Angela Yao:
Towards deep neural network compression via learnable wavelet transforms. - Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs:
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis. - Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak:
LSQ+: Improving low-bit quantization through learnable offsets and better initialization. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOPS: Continual Learning of Physiological Signals. - Qingchun Hou, Ning Zhang, Daniel S. Kirschen, Ershun Du, Yaohua Cheng, Chongqing Kang:
Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding. - Jason R. Cody, Karina A. Roundtree, Julie A. Adams:
Human-Collective Collaborative Site Selection. - Matthew Traudt, Rob Jansen, Aaron Johnson:
FlashFlow: A Secure Speed Test for Tor. - Timothy Chu, Gary L. Miller, Noel J. Walkington, Alex L. Wang:
Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities. - Emmanuel Abbe, Jan Hazla, Ido Nachum:
Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors. - Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel:
On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019. - Luca Cinquini, Steve Petruzza, Jason Jerome Boutte, Sasha Ames, Ghaleb Abdulla, Venkatramani Balaji, Robert D. Ferraro, Aparna Radhakrishnan, Laura Carriere, Thomas Maxwell, Giorgio Scorzelli, Valerio Pascucci:
Distributed Resources for the Earth System Grid Advanced Management (DREAM). - Samuli Laato, A. K. M. Najmul Islam, Muhammad Nazrul Islam, Eoin Whelan:
Why do People Share Misinformation during the COVID-19 Pandemic? - Shadi Shahsavari, Ehsan Ebrahimzadeh, Behnam Shahbazi, Misagh Falahi, Pavan Holur, Roja Bandari, Timothy R. Tangherlini, Vwani P. Roychowdhury:
An Automated Pipeline for Character and Relationship Extraction from Readers' Literary Book Reviews on Goodreads.com. - Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius:
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation. - Ana Fernández-Guillamón, José Ignacio Sarasúa, Manuel Chazarra, Antonio Vigueras-Rodríguez, Daniel Fernández-Muñoz, Ángel Molina-García:
Frequency Control Analysis based on Unit Commitment Schemes with High Wind Power Integration: a Spanish Isolated Power System Case Study. - Kimon Fountoulakis, Meng Liu, David F. Gleich, Michael W. Mahoney:
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. - Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson:
Critical Overview of Privacy-Preserving Learning in Vector Autoregressive Models for Energy Forecasting. - Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov:
Fixed-Target Runtime Analysis. - Zhuangkun Wei, Bin Li, Chengyao Sun, Weisi Guo:
Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform. - Rajat Kateja, Andy Pavlo, Gregory R. Ganger:
Vilamb: Low Overhead Asynchronous Redundancy for Direct Access NVM. - A. R. Balasubramanian, Igor Walukiewicz:
Characterizing consensus in the Heard-Of model. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation. - James Ferlez, Xiaowu Sun, Yasser Shoukry:
Two-Level Lattice Neural Network Architectures for Control of Nonlinear Systems. - Francisco J. Escribano, José Sáez Landete, Alexandre Wagemakers:
Optimization of Chaos-based Coded Modulations for Compensation of Amplifier Nonlinearities. - Anil Sharma, Saket Anand, Sanjit K. Kaul:
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping. - Xiaoqi Tan, Bo Sun, Alberto Leon-Garcia, Yuan Wu, Danny H. K. Tsang:
Mechanism Design for Online Resource Allocation: A Unified Approach. - Alex H. Barnett:
How exponentially ill-conditioned are contiguous submatrices of the Fourier matrix? - Sergio Palomo, Jamol Pender, William A. Massey, Robert C. Hampshire:
Flattening the Curve: Insights From Queueing Theory. - Samuel C. Pinto, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras:
Multi-Agent Persistent Monitoring of Targets with Uncertain States. - Ananda Görck Streit, Gustavo H. A. Santos, Rosa Maria Meri Leão, Edmundo de Souza e Silva, Daniel S. Menasché, Don Towsley:
Network Anomaly Detection based on Tensor Decomposition. - Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi:
Tightening Exploration in Upper Confidence Reinforcement Learning. - Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Md. Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Tomek Strzalkowski, Bonnie J. Dorr:
The Panacea Threat Intelligence and Active Defense Platform. - Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised Learning. - Andrea Pozzi, Xiangzhong Xie, Davide Martino Raimondo, René Schenkendorf:
Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context. - Lucas Massa, Adriano Barbosa, Krerley Oliveira, Thales Vieira:
LRCN-RetailNet: A recurrent neural network architecture for accurate people counting. - Scott Aaronson, Jiahui Liu, Ruizhe Zhang:
Quantum Copy-Protection from Hidden Subspaces. - Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin:
Data-Driven Learning and Load Ensemble Control. - Yiming Lin, Daokun Jiang, Roberto Yus, Georgios Bouloukakis, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian:
LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization. - Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling:
Approximate exploitability: Learning a best response in large games. - Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh:
MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration. - Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li:
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. - Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang:
Scheduling with Communication Delays via LP Hierarchies and Clustering. - Nina Rajcic, Jon McCormack:
Mirror Ritual: An Affective Interface for Emotional Self-Reflection. - Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling:
A Data and Compute Efficient Design for Limited-Resources Deep Learning. - Federico Vaccaro, Marco Bertini, Tiberio Uricchio, Alberto Del Bimbo:
Image Retrieval using Multi-scale CNN Features Pooling. - Will Y. Zou, Shuyang Du, James Lee, Jan O. Pedersen:
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing. - Will Y. Zou, Smitha Shyam, Michael Mui, Mingshi Wang, Jan O. Pedersen, Zoubin Ghahramani:
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects. - Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter:
Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. - Gianlucca L. Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani:
Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions. - Karim Eldefrawy, Michael E. Locasto, Norrathep Rattanavipanon, Hassen Saïdi:
Towards Automated Augmentation and Instrumentation of Legacy Cryptographic Executables: Extended Version. - Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. - Taylor Blose, Prasanna Umar, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer:
Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic. - Jim Samuel, Myles D. Garvey, Rajiv Kashyap:
That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets. - Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud:
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction. - Wen Tang, Alireza Chakeri, Hamid Krim:
Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests. - Viet Trinh, Vikrant More, Samira Zare, Sheideh Homayon:
Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews. - Baichuan Huang, Can Huang, Yijia He, Jingbin Liu, Xiao Liu:
NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network. - Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang:
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects. - Lasitha Wijayarathne, Frank L. Hammond III:
Identification of Compliant Contact Parameters and Admittance Force Modulation on a Non-stationary Compliant Surface. - Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. - Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
Train No Evil: Selective Masking for Task-guided Pre-training. - Lasitha Wijayarathne, Qie Sima, Ziyi Zhou, Ye Zhao, Frank L. Hammond III:
Simultaneous Trajectory Optimization and Force Control with Soft Contact Mechanics. - Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu:
On the Compressive Power of Boolean Threshold Autoencoders. - Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty:
Neural Abstractive Summarization with Structural Attention. - Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo:
AdaX: Adaptive Gradient Descent with Exponential Long Term Memory. - Érica Mourão, João Felipe Pimentel, Leonardo Murta, Marcos Kalinowski, Emilia Mendes, Claes Wohlin:
On the Performance of Hybrid Search Strategies for Systematic Literature Reviews in Software Engineering. - Timothy L. Molloy, Tristan Perez, Brendan P. Williams:
An Optimal Bearing-Only-Information Strategy for Unmanned Aircraft Collision Avoidance. - Or Levi, Sardar Hamidian, Pedram Hosseini:
Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting. - Timothy L. Molloy:
Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis. - Yu Qiu, Yun Liu, Jing Xu:
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. - Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. - SeyedMehdi Abtahi, Nima Assadian:
Integrated attitude estimation and control of satellite with thruster actuator using ANFIS. - Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, Sridhar Chimalakonda:
SurviveCovid-19 - A Game for Improving Awareness of Social Distancing and Health Measures for Covid-19 Pandemic. - Hao Xue, Du Q. Huynh, Mark Reynolds:
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. - Yiming Liu, Erwu Liu, Rui Wang, Yuanzhe Geng:
Channel Estimation and Power Scaling Law of Large Reflecting Surface with Non-Ideal Hardware. - Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. - Junshu Tang, Zhiwen Shao, Lizhuang Ma:
Fine-Grained Expression Manipulation via Structured Latent Space. - Moritz Einfalt, Rainer Lienhart:
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings. - Bruno Courcelle:
Betweenness of partial orders. - Anquan Liu, Tao Li, Yu Gu, Haohui Dai:
Cooperative Extended State Observer Based Control of Vehicle Platoons With Arbitrarily Small Time Headway. - Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. - Paul Dütting, Thomas Kesselheim, Brendan Lucier:
An O(log log m) Prophet Inequality for Subadditive Combinatorial Auctions. - Miikka Kuutila, Mika Mäntylä, Maëlick Claes:
Chat activity is a better predictor than chat sentiment on software developers productivity. - Suhail Paliath, Mohammad Abu Qbeitah, Monther Aldwairi:
PhishOut: Effective Phishing Detection Using Selected Features. - Lidia Aceto, Paolo Novati:
Fast and accurate approximations to fractional powers of operators. - Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images. - Mohammed Belkhatir, Shalini Bala, Noureddine Belkhatir:
Business Process Re-engineering in Supply Chains Examining the case of the expanding Halal industry. - (Withdrawn) Keyphrase Generation with Cross-Document Attention.
- Filip Chudy, Pawel Wozny:
Fast and accurate evaluation of dual Bernstein polynomials. - Qi Li, Hanlin Mo, Jinghan Zhao, Hongxiang Hao, Hua Li:
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition. - Yiming Liu, Erwu Liu, Rui Wang:
Energy Efficiency Analysis of Intelligent Reflecting Surface System with Hardware Impairments. - Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. - Florian Bridoux, Maximilien Gadouleau, Guillaume Theyssier:
Commutative automata networks. - Chaojie Ji, Ruxin Wang, Hongyan Wu:
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks. - Zuling Chang, Martianus Frederic Ezerman, Adamas Aqsa Fahreza, Qiang Wang:
A Graph Joining Greedy Approach to Binary de Bruijn Sequences. - Bai Zhu, Yuanxin Ye, Chao Yang, Liang Zhou, Huiyu Liu, Yungang Cao:
Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation. - Nils Reimers, Iryna Gurevych:
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. - Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning. - Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda:
Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization. - Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang:
Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets. - Long Chen, Martin Strauch, Dorit Merhof:
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints. - Jihua Zhu, Jie Hu, Zhongyu Li, Badong Chen:
Robust Motion Averaging under MaximumCorrentropy Criterion. - Simone V. Spiegler, Daniel Graziotin, Christoph Heinecke, Stefan Wagner:
A Quantitative Exploration of the 9-Factor Theory: Distribution of Leadership Roles between Scrum Master and Agile Team. - Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. - Jérôme Droniou, Neela Nataraj, Devika Shylaja:
Hessian discretisation method for fourth order semi-linear elliptic equations: applications to the von Kármán and Navier-Stokes models. - M. C. A. Devillers:
Egel - Graph Rewriting with a Twist. - Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng:
LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition. - Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Reinforcement Learning. - Siyu Ren, Kenny Q. Zhu:
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions. - Shaoqing Zhou, Wei Xu, Kezhi Wang, Marco Di Renzo, Mohamed-Slim Alouini:
Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments. - Andrew Cropper, Sebastijan Dumancic:
Learning large logic programs by going beyond entailment. - Jean-Christophe Le Lann, Hannah Badier, Florent Kermarrec:
Towards a Hardware DSL Ecosystem : RubyRTL and Friends. - Francesco Bonaldi, Konstantin Brenner, Jérôme Droniou, Roland Masson:
Gradient discretization of two-phase flows coupled with mechanical deformation in fractured porous media. - Pengcheng Wang, Zihao Wang, Zhilong Ji, Xiao Liu, Songfan Yang, Zhongqin Wu:
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning. - Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda:
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. - Linfei Feng:
Reinforcement Learning to Optimize the Logistics Distribution Routes of Unmanned Aerial Vehicle. - Tashin Ahmed, Chowdhury Rafeed Rahman, Md. Faysal Mahmud Abid:
Rice grain disease identification using dual phase convolutional neural network-based system aimed at small dataset. - Yoji Yamato:
Proposal of Automatic Offloading for Function Blocks of Applications. - Yixin Cao:
Enumerating Maximal Induced Subgraphs. - Akib Zaman, Muhammad Nazrul Islam, Tarannum Zaki, Mohammad Sajjad Hossain:
ICT Intervention in the Containment of the Pandemic Spread of COVID-19: An Exploratory Study. - (Withdrawn) WiFE: WiFi and Vision based Intelligent Facial-Gesture Emotion Recognition.
- David Harbecke, Christoph Alt:
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling. - KayYen Wong, Sameen Maruf, Gholamreza Haffari:
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns. - Jiajie Tong, Xianbin Wang, Qifan Zhang, Huazi Zhang, Shengchen Dai, Rong Li, Jun Wang:
Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of GN-Coset Codes. - Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee:
An RNN-Survival Model to Decide Email Send Times. - Jaber Kakar, Aydin Sezgin:
Robust Interference Management for SISO Systems with Multiple Over-the-Air Computations. - Xianbin Wang, Jiajie Tong, Huazi Zhang, Shengchen Dai, Rong Li, Jun Wang:
Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of GN-Coset Codes. - Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim:
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. - Bahram Kalhor, Farzaneh Mehrparvar:
Rankings of countries based on rankings of universities. - Dominic Breit, Lars Diening, Johannes Storn, Jörn Wichmann:
The parabolic p-Laplacian with fractional differentiability. - Seyyed Hossein Seyyedaghaei Rezaei, Mehdi Modarressi, Rachata Ausavarungnirun, Mohammad Sadrosadati, Onur Mutlu, Masoud Daneshtalab:
NOM: Network-On-Memory for Inter-Bank Data Transfer in Highly-Banked Memories. - Carlos Camino, Volker Diekert, Besik Dundua, Mircea Marin, Géraud Sénizergues:
Regular matching problems for infinite trees. - Roman Voeikov, Nikolay Falaleev, Ruslan Baikulov:
TTNet: Real-time temporal and spatial video analysis of table tennis. - Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. - Sebastijan Dumancic, Andrew Cropper:
Knowledge Refactoring for Program Induction. - Ido Shahaf, Or Ordentlich, Gil Segev:
An Information-Theoretic Proof of the Streaming Switching Lemma for Symmetric Encryption. - Tanja Bunk, Daksh Varshneya, Vladimir Vlasov, Alan Nichol:
DIET: Lightweight Language Understanding for Dialogue Systems. - Ryan L. Mann, Luke Mathieson, Catherine S. Greenhill:
On the Parameterised Complexity of Induced Multipartite Graph Parameters. - Johannes Lengler, Jonas Meier:
Large Population Sizes and Crossover Help in Dynamic Environments. - Jesús Tramullas, Piedad Garrido Picazo, Ana I. Sánchez-Casabón:
Use of Wikipedia categories on information retrieval research: a brief review. - Kerstin Hötte, Anton Pichler, François Lafond:
The rise of science in low-carbon energy technologies. - Guy Shacht, Sharon Fogel, Dov Danon, Daniel Cohen-Or:
Weakly Aligned Joint Cross-Modality Super Resolution. - Pierre-Antoine Rault, Luigi Iannone:
Group Key Agreement in Information Centric Networks with Tree Group Diffie-Hellman. - Viet Duong, Phu Pham, Tongyu Yang, Yu Wang, Jiebo Luo:
The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic. - Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. - Iman M. A. Helal, Ahmed Awad:
Correlating Unlabeled Events at Runtime. - Canxiang Yan, Jianhao Yan, Yangyin Xu, Cheng Niu, Jie Zhou:
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels. - Brian Gaudet, Roberto Furfaro, Richard Linares, Andrea Scorsoglio:
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop. - Feng Lu, Anca Dumitrache, David Graus:
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation. - Kalika Prasad, Munesh Kumari:
A review on mathematical strength and analysis of Enigma. - Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu:
BERT-ATTACK: Adversarial Attack Against BERT Using BERT. - Daniel F. Leite, Leticia Decker, Marcio Santana, Paulo Vitor de Campos Souza:
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification. - Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada:
Towards Generalization of 3D Human Pose Estimation In The Wild. - Alexander M. Mussgnug:
A Philosophy of Data. - Zhongpai Gao, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang:
PAI-GCN: Permutable Anisotropic Graph Convolutional Networks for 3D Shape Representation Learning. - Yunlong Wang, Laura M. Koenig, Harald Reiterer:
SedVis: Supporting Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning on Smartphone. - Lianwei Wu, Yuan Rao:
Adaptive Interaction Fusion Networks for Fake News Detection. - Trupil Limbasiya, Sanjay K. Sahay:
Secure and Energy-Efficient Key-Agreement Protocol for Multi-Server Architecture. - Weizi Philip Li, Jan M. Allbeck:
Imperatives for Virtual Humans. - Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente, Kiru Park, Barbara Caputo, Markus Vincze:
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition. - Yijing Zhao, Jieli Liu, Qing Han, Weilin Zheng, Jiajing Wu:
Exploring EOSIO via Graph Characterization. - Zihan Zhang, Yuan Zhou, Xiangyang Ji:
Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition. - Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. - Amal Hyadi, Zouheir Rezki, Mohamed-Slim Alouini:
Securing Multi-User Broadcast Wiretap Channels with Finite CSI Feedback. - Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo:
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision. - Shun Ishii, Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez:
ExerSense: Real-Tme Physical Exercise Segmentation, Classification, and Counting Algorithm Using an IMU Sensor. - Stathis Delivorias, Michel Leclère, Marie-Laure Mugnier, Federico Ulliana:
Characterizing Boundedness in Chase Variants. - Alessandro Pellegrini, Francesco Quaglia:
On the Relevance of Wait-free Coordination Algorithms in Shared-Memory HPC: The Global Virtual Time Case. - Bhawani Selvaretnam, Mohammed Belkhatir:
Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance. - Yanhui Peng, Jing Zhang:
Knowledge Graph Embedding with Linear Representation for Link Prediction. - Fengyang Sun, Qingrui Ni, Lin Wang, Bo Yang, Chunxiuzi Liu:
A Novel Graphic Bending Transformation on Benchmark. - Shurun Wang, Shiqi Wang, Wenhan Yang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression. - Fabian Ritter, Sebastian Hack:
PMEvo: Portable Inference of Port Mappings for Out-of-Order Processors by Evolutionary Optimization. - Xuehe Wang, Lingjie Duan:
Dynamic Pricing and Mean Field Analysis for Controlling Age of Information. - Yuming Shang, Heyan Huang, Xin Sun, Xianling Mao:
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. - Chiranjib Saha, Harpreet S. Dhillon:
Load on the Typical Poisson Voronoi Cell with Clustered User Distribution. - Davide Bianchi:
Analysis of the spectral symbol associated to discretization schemes of linear self-adjoint differential operators. - Larry Bull:
Exploring Distributed Control with the NK Model. - Maximilian Kloock, Janis Maczijewski, Patrick Scheffe, Alexandru Kampmann, Armin Mokhtarian, Stefan Kowalewski, Bassam Alrifaee:
Cyber-Physical Mobility Lab An Open-Source Platform for Networked and Autonomous Vehicles. - Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie:
Rigorous Explanation of Inference on Probabilistic Graphical Models. - Shenghan Wang, Yipeng Liu, Lanlan Feng, Ce Zhu:
Frequency-Weighted Robust Tensor Principal Component Analysis. - Raghavendra Selvan, Erik B. Dam:
Tensor Networks for Medical Image Classification. - Laurens Versluis, Alexandru Iosup:
A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews - Extended Technical Report. - David M. Fobes, Sander Claeys, Frederik Geth, Carleton Coffrin:
PowerModelsDistribution.jl: An Open-Source Framework for Exploring Distribution Power Flow Formulations. - Rahif Kassab, Osvaldo Simeone, Petar Popovski:
Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles. - Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu:
TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling. - Hu Ding:
A Sub-linear Time Framework for Geometric Optimization with Outliers in High Dimensions. - Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang:
Curriculum Pre-training for End-to-End Speech Translation. - Nikhil Mehta, Kevin J. Liang, Lawrence Carin:
Bayesian Nonparametric Weight Factorization for Continual Learning. - Kaiyu Zheng, Stefanie Tellex:
pomdp_py: A Framework to Build and Solve POMDP Problems. - Shohei Hisada, Taichi Murayama, Kota Tsubouchi, Sumio Fujita, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan. - Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. - Francesco Restuccia, Tommaso Melodia:
Physical-Layer Deep Learning: Challenges and Applications to 5G and Beyond. - Idris Badmus, Abdelquoddouss Laghrissi, Ari Pouttu:
Achieving Network Slice Communication Service Distribution across 5G Micro-Operator Multi-tenants. - Luigi Bellomarini, Marco Benedetti, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Antonio Muci, Emanuel Sallinger:
COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning. - Yasuno Takato:
Synthetic Augmentation pix2pix using Tri-category Label with Edge structure for Accurate Segmentation architectures. - Bruno Courcelle:
Axiomatization of betweenness in order-theoretic trees. - Victor H. Lutfalla:
On the regularity of De Bruijn multigrids. - Xiao Liu, Sotirios A. Tsaftaris:
Have you forgotten? A method to assess if machine learning models have forgotten data. - Yasuno Takato:
Disaster Feature Classification on Aerial Photography to Explain Typhoon Damaged Region using Grad-CAM. - Mahdi Fahmideh, Fereidoon Shams, Pooyan Jamshidi:
Toward a Methodological Knowledge for Service-Oriented Development Based on OPEN Meta Model. - Mahdi Fahmideh, Mohsen Sharifi, Pooyan Jamshidi:
Enhancing the OPEN Process Framework with Service-Oriented Method Fragments. - Mahdi Fahmideh, Farhad Daneshgar, Fethi A. Rabhi:
Cloud Migration Methodologies Preliminary Findings. - Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman:
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. - Shuaidong Pan, Faner Lin, Jiebo Luo:
Do Sports and Politics Mix? Cross-Analysis of Fan Bases of Major League Sports and Presidential Candidates. - Linda Erlenhov, Francisco Gomes de Oliveira Neto, Martin Chukaleski, Samer Daknache:
Challenges and guidelines on designing test cases for test bots. - Reinald Kim Amplayo, Mirella Lapata:
Unsupervised Opinion Summarization with Noising and Denoising. - Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. - Andrea Martinelli, John Lygeros:
Control of Networked Systems by Clustering: The Degree of Freedom Concept. - Akari Asai, Hannaneh Hajishirzi:
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering. - Kartik Nagar, Prasita Mukherjee, Suresh Jagannathan:
Semantics, Specification, and Bounded Verification of Concurrent Libraries in Replicated Systems. - Viswanatha V, R. Venkata Siva Reddy, Rajeswari:
Characterization of analog and digital control loops for bidirectional buck-boost converter using PID/PIDN algorithms. - Sanchari Sen, Balaraman Ravindran, Anand Raghunathan:
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks. - Allen Liu, Renato Paes Leme, Martin Pal, Jon Schneider, Balasubramanian Sivan:
Competing Optimally Against An Imperfect Prophet. - Shashank Srikant, Nicolas Lesimple, Una-May O'Reilly:
Dependency-Based Neural Representations for Classifying Lines of Programs. - Víctor Blanco, Alberto Japón, Justo Puerto:
A Mathematical Programming approach to Binary Supervised Classification with Label Noise. - Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao:
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation. - Viswanatha V, R. Venkata Siva Reddy, Ashwini Kumari P, Pradeep Kumar S:
Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3. - Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo:
Forecasting directional movements of stock prices for intraday trading using LSTM and random forests. - Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam:
Energy-Based Models for Text. - Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman:
Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation. - Ville Vakkuri, Kai-Kristian Kemell:
Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy. - Jason D. Kelly, Nicholas Heller, Ashley Petersen, Thomas S. Lendvay, Timothy M. Kowalewski:
The Effect of Video Playback Speed on Perception of Technical Skill in Robotic Surgery. - Payam Karisani, Joyce C. Ho, Eugene Agichtein:
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media. - Andriy Mulyar, Bridget T. McInnes:
MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning. - Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias:
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast. - Long Chen, Hanjia Lyu, Tongyu Yang, Yu Wang, Jiebo Luo:
In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19. - Shashwat Shivam, Yorai Wardi, Magnus Egerstedt, Aris Kanellopoulos, Kyriakos G. Vamvoudakis:
Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions. - Visweswara Sai Prashanth Dintyala, Arpit Narechania, Joy Arulraj:
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. - Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Enrique Yalta Soplin, Tomoki Hayashi, Shinji Watanabe:
ESPnet-ST: All-in-One Speech Translation Toolkit. - Urs Gasser, Marcello Ienca, James Scheibner, Joanna Sleigh, Effy Vayena:
Digital tools against COVID-19: Framing the ethical challenges and how to address them. - Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski:
Neural forecasting: Introduction and literature overview. - Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
On-the-Fly Joint Feature Selection and Classification. - Larissa Capobianco Shimomura, George Fletcher, Nikolay Yakovets:
GGDs: Graph Generating Dependencies. - Mainuddin Ahmad Jonas, David Evans:
Certifying Joint Adversarial Robustness for Model Ensembles. - Eugen Solowjow, Ines Ugalde, Yash Shahapurkar, Juan Aparicio, Jeffrey Mahler, Vishal Satish, Ken Goldberg, Heiko Claussen:
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC). - Shiyang Yan, Yang Hua, Neil Robertson:
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs. - Grant Olney Passmore, Simon Cruanes, Denis Ignatovich, Dave Aitken, Matt Bray, Elijah Kagan, Kostya Kanishev, Ewen Maclean, Nicola Mometto:
The Imandra Automated Reasoning System (system description). - Nicholas Vincent, Brent J. Hecht:
A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines. - Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao:
Decomposed Adversarial Learned Inference. - Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali:
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. - Michael Alan Chang, Domenic Bottini, Lisa Jian, Pranay Kumar, Aurojit Panda, Scott Shenker:
How to Train your DNN: The Network Operator Edition. - Dimitrios Kallergis, Zacharenia Garofalaki, Georgios Katsikogiannis, Christos Douligeris:
CAPODAZ: A Containerised Authorisation and Policy-driven Architecture using Microservices. - Yanbin Pan, Jun Xu, Nick Wadleigh, Qi Cheng:
On the ideal shortest vector problem over random rational primes. - Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska:
Probabilistic Safety for Bayesian Neural Networks. - Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca:
Learning Multi-Modal Image Registration without Real Data. - Georg Rehm:
Observations on Annotations. - Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-based Image Synthesis. - Jehanzeb H. Chaudhry, Ari E. Rappaport, John N. Shadid:
An a posteriori error analysis for the equations of stationary incompressible magnetohydrodynamics. - Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. - Ryan Sanford, Siavash Gorji, Luiz G. Hafemann, Bahareh Pourbabaee, Mehrsan Javan:
Group Activity Detection from Trajectory and Video Data in Soccer. - Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
Structured Mechanical Models for Robot Learning and Control. - Tim Daubenschuetz, Oksana Kulyk, Stephan Neumann, Isabella Hinterleitner, Paula Ramos Delgado, Carmen Hoffmann, Florian Scheible:
SARS-CoV-2, a Threat to Privacy? - Xin Sun, Piotr Kulicki, Mirek Sopek:
Bit Commitment for Lottery and Auction on Quantum Blockchain. - Baihan Lin:
Keep It Real: a Window to Real Reality in Virtual Reality. - Jan Sedmidubský, Pavel Zezula:
Combining Deep Learning Classifiers for 3D Action Recognition. - Daniel M. LaChapelle, Todd E. Humphreys, Lakshay Narula, Peter Iannucci, Ehsan Moradi-Pari:
Automotive Collision Risk Estimation Under Cooperative Sensing. - Sebastian Forster, Gramoz Goranci, Monika Henzinger:
Dynamic Maintenance of Low-Stretch Probabilistic Tree Embeddings with Applications. - Yanan Jia, Sony SungChu:
A Deep Learning System for Sentiment Analysis of Service Calls. - Asmaa Alrushoud, Ning Lu:
Impacts of PV Capacity Allocation Methods on Distribution Planning Studies. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. - Taisa Kushner, Amit Sharma:
Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. - Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
Faster and More Accurate Measurement through Additive-Error Counters. - Shaohui Liu, Daniel Adrian Maldonado, Emil M. Constantinescu:
Probabilistic analysis of masked loads with aggregated photovoltaic production. - Isidoros Marougkas, Petros Koutras, Nikolaos Kardaris, Georgios Retsinas, Georgia Chalvatzaki, Petros Maragos:
How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking. - Sara Beery, Elijah Cole, Arvi Gjoka:
The iWildCam 2020 Competition Dataset. - Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. - Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Federated Learning with Only Positive Labels. - Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Müller, T. J. Tsai:
MIDI-Sheet Music Alignment Using Bootleg Score Synthesis. - Daniel Yang, Thitaree Tanprasert, Teerapat Jenrungrot, Mengyi Shan, T. J. Tsai:
MIDI Passage Retrieval Using Cell Phone Pictures of Sheet Music. - Ahmed Sabir, Francesc Moreno-Noguer, Lluís Padró:
Textual Visual Semantic Dataset for Text Spotting. - Sabah Al-Fedaghi, Dana Al-Qemlas:
Modeling Network Architecture: A Cloud Case Study. - Aryaman Arora, Luke Gessler, Nathan Schneider:
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi. - Jon McCormack, Benjamin Porter, James Wetter:
A scriptable, generative modelling system for dynamic 3D meshes. - Denis Moreira dos Reis, Marcílio de Souto, Elaine P. M. de Sousa, Gustavo E. A. P. A. Batista:
Quantifying With Only Positive Training Data. - Ying Cao, Bo Sun, Danny H. K. Tsang:
Optimal Online Algorithms for One-Way Trading and Online Knapsack Problems: A Unified Competitive Analysis. - Chen Luo, Michael J. Carey:
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems (Extended Version). - Pinjia He, Clara Meister, Zhendong Su:
Testing Machine Translation via Referential Transparency. - Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman:
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses. - Reza Pourreza-Shahri, Nasser Kehtarnavaz:
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones. - Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Graph-based Kinship Reasoning Network. - Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar:
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. - J. Wilkins, M. V. Nguyen, Bahareh Rahmani:
Image Processing Failure and Deep Learning Success in Lawn Measurement. - Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang:
A Data-driven Approach for Constructing Multilayer Network-based Service Ecosystem Models. - Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli:
Hierarchically Fair Federated Learning. - Qing Han, Shusen Yang, Xuebin Ren, Cong Zhao, Jingqi Zhang, Xinyu Yang:
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints. - Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani:
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. - Qiang Dong, Quan Yuan, Yang-Bo Shi:
Alleviating the recommendation bias via rank aggregation. - Pietro Tedeschi, Savio Sciancalepore, Roberto Di Pietro:
Security in Energy Harvesting Networks: A Survey of Current Solutions and Research Challenges. - Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. - Min-hwan Oh, Garud Iyengar:
Sequential Anomaly Detection using Inverse Reinforcement Learning. - Yuwei Chuai, Jichang Zhao:
Anger makes fake news viral online. - Kayvan Kousha, Mike Thelwall:
COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts. - Chen Liang, Linqi Guo, Alessandro Zocca, Shuyue Yu, Steven H. Low, Adam Wierman:
An Integrated Approach for Failure Mitigation & Localization in Power Systems. - Jianhua Sun, Qinhong Jiang, Cewu Lu:
Recursive Social Behavior Graph for Trajectory Prediction. - Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. - Mark Grennan, Joeran Beel:
Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora. - George Drivas, Argyro Chatzopoulou, Leandros Maglaras, Costas Lambrinoudakis, Allan Cook, Helge Janicke:
A NIS Directive compliant Cybersecurity Maturity Assessment Framework. - Jesko Hecking-Harbusch, Niklas O. Metzger:
Efficient Trace Encodings of Bounded Synthesis for Asynchronous Distributed Systems. - Vahid Roostapour, Jakob Bossek, Frank Neumann:
Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem. - Arjun Srinivasan, Bongshin Lee, John T. Stasko:
Interweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration. - Jie Chen, Wenjun Xu:
Policy Gradient from Demonstration and Curiosity. - Noel Carroll, Kieran Conboy:
Applying Normalization Process Theory to Explain Large-Scale Agile Transformations. - Sabah Suhail, Rasheed Hussain, Abid Khan, Choong Seon Hong:
On the Role of Hash-based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions. - Pian Yu, Dimos V. Dimarogonas:
A fully distributed motion coordination strategy for multi-robot systems with local information. - Carl-Johan Hoel, Krister Wolff, Leo Laine:
Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation. - Luca Guarnera, Oliver Giudice, Sebastiano Battiato:
DeepFake Detection by Analyzing Convolutional Traces. - Hugh Zhang, Daniel Duckworth, Daphne Ippolito, Arvind Neelakantan:
Trading Off Diversity and Quality in Natural Language Generation. - Yi Ren, Jinglin Liu, Xu Tan, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
A Study of Non-autoregressive Model for Sequence Generation. - Ali Esmaeily, Katina Kralevska, Danilo Gligoroski:
A Cloud-based SDN/NFV Testbed for End-to-End Network Slicing in 4G/5G. - Sohail Khan, Sawsan Henein, Helfried Brunner:
Optimal Energy Interruption Planning and Generation Re-dispatch for Improving Reliability during Contingencies. - Rui Liu, Zheng Lin, Weiping Wang:
Keyphrase Prediction With Pre-trained Language Model. - Timothée Schmoderer, Angelica I. Avilés-Rivero, Veronica Corona, Noémie Debroux, Carola B. Schönlieb:
Learning Optical Flow for Fast MRI Reconstruction. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
SoQal: Selective Oracle Questioning in Active Learning. - Yijun Quan, Chang-Tsun Li, Yujue Zhou, Li Li:
Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics. - Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner:
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. - Johannes E. M. Mosig, Vladimir Vlasov, Alan Nichol:
Where is the context? - A critique of recent dialogue datasets. - Robin Bloomfield, John Rushby:
Assurance 2.0. - Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Xinwei Jiang, Qin Yan:
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image. - Vojtech Mrazek, Lukás Sekanina, Zdenek Vasícek:
Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural Networks. - Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder:
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. - Marten Sigwart, Philipp Frauenthaler, Christof Spanring, Stefan Schulte:
Decentralized Cross-Blockchain Asset Transfers. - Anna V. Kononova, Fabio Caraffini, Thomas Bäck:
Differential evolution outside the box. - Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng:
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent. - Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference with Compressed Images. - Sultangali Arzykulov, Galymzhan Nauryzbayev, Abdulkadir Celik, Ahmed M. Eltawil:
Hardware and Interference Limited Cooperative CR-NOMA Networks under Imperfect SIC and CSI. - Robert Graubohm, Torben Stolte, Gerrit Bagschik, Markus Maurer:
Towards Efficient Hazard Identification in the Concept Phase of Driverless Vehicle Development. - Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. - Leila Tlebaldiyeva, Galymzhan Nauryzbayev, Sultangali Arzykulov, Yerassyl Akhmetkaziyev, Mohammad S. Hashmi, Ahmed M. Eltawil:
A Non-Ideal NOMA-based mmWave D2D Networks with Hardware and CSI Imperfections. - Lehel Banjai, Jens Markus Melenk, Christoph Schwab:
hp-FEM for reaction-diffusion equations II. Robust exponential convergence for multiple length scales in corner domains. - Fatemeh Ziaeetabar, Jennifer Pomp, Stefan Pfeiffer, Nadiya El-Sourani, Ricarda I. Schubotz, Minija Tamosiunaite, Florentin Wörgötter:
Human and Machine Action Prediction Independent of Object Information. - Lucie Perrotta:
Practical calibration of the temperature parameter in Gibbs posteriors. - Oksana Shadura, Brian Paul Bockelman, Philippe Canal, Danilo Piparo, Zhe Zhang:
ROOT I/O compression improvements for HEP analysis. - Markus Tranninger, Richard Seeber, Martin Steinberger, Martin Horn:
Uniform Detectability of Linear Time Varying Systems with Exponential Dichotomy. - Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-Ichiro Taniguchi:
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell. - Dominik Martin, Philipp Spitzer, Niklas Kühl:
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. - Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail:
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics. - Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang:
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification. - Kshitij Girigoudar, Line A. Roald:
On the Impact of Different Voltage Unbalance Metrics in Distribution System Optimization. - Diego Thomas:
Real-time Simultaneous 3D Head Modeling and Facial Motion Capture with an RGB-D camera. - Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth:
Evolving Dyadic Strategies for a Cooperative Physical Task. - Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions. - Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort:
Up or Down? Adaptive Rounding for Post-Training Quantization. - Weisong Wen, Tim Pfeifer, Xiwei Bai, Li-Ta Hsu:
It is time for Factor Graph Optimization for GNSS/INS Integration: Comparison between FGO and EKF. - Yunsu Kim, Miguel Graça, Hermann Ney:
When and Why is Unsupervised Neural Machine Translation Useless? - Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi:
The Second-Generation Shifted Boundary Method and Its Numerical Analysis. - Ville Santala, Giovane Costa, Luiz Celso Gomes Jr., Tatiana M. C. Gadda, Thiago Henrique Silva:
On the Potential of Social Media Data in Urban Planning: Findings from the Beer Street in Curitiba, Brazil. - Arpita Sanyal (Bhaduri), Amit Saha, Banani Saha, Amlan Chakrabarti:
Circuit Synthesis of Maximum Clique Problem using Combinatorial Approach of Classical-Quantum Hybrid Model. - Antoine Blanchard, Themistoklis P. Sapsis:
Bayesian Optimization with Output-Weighted Importance Sampling. - Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen:
Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. - Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess, Marius Popescu:
Self-Supervised Representation Learning on Document Images. - Filipe Condessa, J. Zico Kolter:
Provably robust deep generative models. - Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. - Shehar Bano, Alberto Sonnino, Andrey Chursin, Dmitri Perelman, Dahlia Malkhi:
Twins: White-Glove Approach for BFT Testing. - Adam Shimi, Aurélie Hurault, Philippe Quéinnec:
Derivation of Heard-Of Predicates From Elementary Behavioral Patterns. - Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Contextualised Graph Attention for Improved Relation Extraction. - Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan:
Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. - Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horák, Michal Najman, Branislav Bosanský, Viliam Lisý:
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection. - Genet Asefa Gesese, Mehwish Alam, Harald Sack:
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction. - Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, Daniel Zeman:
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. - Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. - Jordan Ott, Mike Pritchard, Natalie Best, Erik Linstead, Milan Curcic, Pierre Baldi:
A Fortran-Keras Deep Learning Bridge for Scientific Computing. - Adán Cabello, Joost J. Joosten:
Hidden variables simulating quantum contextuality increasingly violate the Holevo bound. - Jennifer Paykin, Brian Huffman, Daniel M. Zimmerman, Peter A. Beerel:
Formal Verification of Flow Equivalence in Desynchronized Designs. - Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao:
Typilus: Neural Type Hints. - Edward Hermann Haeusler:
Exponentially Huge Natural Deduction proofs are Redundant: Preliminary results on M⊃. - Agustinus Andriyanto, Robin Doss:
Problems and Solutions of Service Architecture in Small and Medium Enterprise Communities. - Dingmin Wang, Chenghua Lin, Li Zhong, Kam-Fai Wong:
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems. - Yutaka Nagashima:
Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset Description). - Shulai Zhang, Xiaoli Ma:
A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains. - Fahad Siddiqui, Matthew Hagan, Sakir Sezer:
Embedded Policing and Policy Enforcement based Security in the era of Digital-Physical Convergence for Next-Generation Vehicular Electronics. - Ronghua Xu, Yu Chen, Erik Blasch, Alexander J. Aved, Genshe Chen, Dan Shen:
Hybrid Blockchain-Enabled Secure Microservices Fabric for Decentralized Multi-Domain Avionics Systems. - Shuangbai Xue, Yuan Xue:
Speeding-up Logic Design and Refining Hardware EDA Flow by Exploring Chinese Character based Graphical Representation. - Koffi Wilfrid Houédanou:
A posteriori error analysis for a Lagrange multiplier method for a Stokes/Biot fluid-poroelastic structure interaction model. - Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker:
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction. - Mohammad Bilal Khan:
Advanced Persistent Threat: Detection and Defence. - Yikang Zhang, Jian Zhang, Qiang Wang, Zhao Zhong:
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks. - Keting Lu, Shiqi Zhang, Xiaoping Chen:
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning. - Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Anxiao Jiang:
CodNN - Robust Neural Networks From Coded Classification. - John Ramírez-Figueroa, Carlos Martín-Barreiro, Ana Belén Nieto-Librero, Victor Leiva-Sánchez, Ma Purificación Galindo-Villardón:
Disjoint principal component analysis by constrained binary particle swarm optimization. - Arun S. Maiya:
ktrain: A Low-Code Library for Augmented Machine Learning. - Stanislaw Kazmierczak, Jacek Mandziuk:
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise. - Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier:
CORD-19: The Covid-19 Open Research Dataset. - João Caldeira, Brian Nord:
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms. - Felix Fiedler, Christoph Döpmann, Florian Tschorsch, Sergio Lucia:
PredicTor: Predictive Congestion Control for the Tor Network. - Anu Jagannath, Jithin Jagannath, Tommaso Melodia:
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. - Alistair Bentley, V. J. Ervin:
Approximation of the Axisymmetric Elasticity Equations with Weak Symmetry. - Mahdi Fahmideh, Farhad Daneshgar, Ghassan Beydoun, Fethi A. Rabhi:
Challenges in migrating legacy software systems to the cloud an empirical study. - Mahdi Fahmideh, Graham Low, Ghassan Beydoun, Farhad Daneshgar:
Cloud Migration Process A Survey Evaluation Framework and Open Challenges. - James Hefford, Vincent Wang, Matthew Wilson:
Categories of Semantic Concepts. - Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe W. J. Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean:
Chip Placement with Deep Reinforcement Learning. - Elena Farahbakhsh Touli:
Frechet-Like Distances between Two Merge Trees. - Waqas Sultani, Qazi Ammar Arshad, Chen Chen:
Action recognition in real-world videos. - Biswaroop Maiti, Rajmohan Rajaraman, David Stalfa, Zoya Svitkina, Aravindan Vijayaraghavan:
Scheduling Precedence-Constrained Jobs on Related Machines with Communication Delay. - Guilherme Lacerda, Fábio Petrillo, Marcelo Pimenta, Yann-Gaël Guéhéneuc:
Code Smells and Refactoring: A Tertiary Systematic Review of Challenges and Observations. - Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg:
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. - Emad Aliwa, Omer F. Rana, Charith Perera, Peter Burnap:
Cyberattacks and Countermeasures For In-Vehicle Networks. - Marianne Gauffriau:
Validation of counting methods in bibliometrics. - Ming Zeng, Xingwang Li, Gen Li, Wanming Hao, Octavia A. Dobre:
Sum Rate Maximization for IRS-assisted Uplink NOMA. - Jason Krone, Yi Zhang, Mona T. Diab:
Learning to Classify Intents and Slot Labels Given a Handful of Examples. - Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. - Bahman Moraffah, Antonia Papndreou-Suppopola:
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking. - Utkarsh Sharma, Jared Kaplan:
A Neural Scaling Law from the Dimension of the Data Manifold. - Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda:
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models. - Ben A. Kybartas, Clark Verbrugge, Jonathan Lessard:
Tension Space Analysis for Emergent Narrative. - Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova:
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. - Ryokan Ri, Yoshimasa Tsuruoka:
Revisiting the Context Window for Cross-lingual Word Embeddings. - Majid Asgari-Bidhendi, Farzane Fakhrian, Behrouz Minaei-Bidgoli:
ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts. - Dan Valle, Tiago Pimentel, Adriano Veloso:
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. - Tal Linzen, Marco Baroni:
Syntactic Structure from Deep Learning. - Xiaokai Yuan, Gang Bao, Peijun Li:
An adaptive finite element DtN method for the open cavity scattering problems. - Lubomír Bañas, Robert Lasarzik, Andreas Prohl:
Numerical Analysis for Nematic Electrolytes. - Yuri Faenza, Swati Gupta, Xuan Zhang:
Impact of Bias on School Admissions and Targeted Interventions. - Yeshasvi Tirupachuri:
Enabling Human-Robot Collaboration via Holistic Human Perception and Partner-Aware Control. - Wendi Feng, Chuanchang Liu, Zehua Guo, Thar Baker, Gang Wang, Meng Wang, Bo Cheng, Junliang Chen:
MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot. - Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner:
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack. - Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu:
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. - Mahdi Fahmideh, Farhad Daneshgar, Fethi A. Rabhi, Ghassan Beydoun:
A generic cloud migration process model. - Mahdi Fahmideh, Ghassan Beydoun, Graham Low:
Experiential probabilistic assessment of cloud services. - A. Torres-Hernandez, F. Brambila-Paz, E. De-la-Vega:
Fractional pseudo-Newton method and its use in the solution of a nonlinear system that allows the construction of a hybrid solar receiver. - Kishan Parshotam, Mert Kilickaya:
Continual Learning of Object Instances. - Canlin Zhang, Xiuwen Liu:
Preserving the Hypernym Tree of WordNet in Dense Embeddings. - Guilherme de C. M. Gomes, Sérgio H. Nogueira, Vinícius Fernandes dos Santos:
Some results on Vertex Separator Reconfiguration. - Lei Sun, Ke Li:
Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D. - Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin T. Feigelis, Daniel Yamins:
Flexible and Efficient Long-Range Planning Through Curious Exploration. - Sujit Bhattacharya, Shubham Singh:
Visible Insights of the Invisible Pandemic: A Scientometric, Altmetric and Topic Trend Analysis. - Niklas Risse, Christina Göpfert, Jan Philip Göpfert:
Adversarial examples and where to find them. - Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Constrained Neural Ordinary Differential Equations with Stability Guarantees. - Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic:
Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation. - Apoorv Shukla, Kevin Nico Hudemann, Zsolt Vági, Lily Hügerich, Georgios Smaragdakis, Stefan Schmid, Artur Hecker, Anja Feldmann:
Towards Runtime Verification of Programmable Switches. - Shangtong Zhang, Bo Liu, Shimon Whiteson:
Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. - Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya:
Qd-tree: Learning Data Layouts for Big Data Analytics. - Irene Li, Yixin Li, Tianxiao Li, Sergio Álvarez-Napagao, Darío García:
What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing. - Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker:
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. - Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin:
Cpp-Taskflow v2: A General-purpose Parallel and Heterogeneous Task Programming System at Scale. - Farhad Farokhi, Ni Ding:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. - Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
Doubly-stochastic mining for heterogeneous retrieval. - Ilkyoo Choi, Felix Christian Clemen, Michael Ferrara, Paul Horn, Fuhong Ma, Tomás Masarík:
Flexibility of Planar Graphs - Sharpening the Tools to Get Lists of Size Four. - Shuangyong Song, Chao Wang:
TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce. - Qin Yang, Ramviyas Parasuraman:
Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System. - Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
PolyLaneNet: Lane Estimation via Deep Polynomial Regression. - Zhou Ni, Rujia Wang:
Performance Evaluation of Secure Multi-party Computation on Heterogeneous Nodes. - Shunsuke Aoki, Takamasa Higuchi, Onur Altintas:
Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles. - Kuniaki Ozawa, Masayoshi Naito, Naoki Tanaka, Shiryu Wada:
A Word Communication System with Caregiver Assist for Amyotrophic Lateral Sclerosis Patients in Completely and Almost Completely Locked-in State. - Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao:
YOLOv4: Optimal Speed and Accuracy of Object Detection. - Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan:
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices. - Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu:
Private Query Release Assisted by Public Data. - Luis Felipe de Araujo Zeni, Cláudio R. Jung:
Distilling Knowledge from Refinement in Multiple Instance Detection Networks. - Qin Yang, Ramviyas Parasuraman:
GUT: A General Cooperative Multi-Agent Hierarchical Decision Architecture in Adversarial Environments. - Nazatul Haque Sultan, Maryline Laurent, Vijay Varadharajan:
Securing Organization's Data: A Role-Based Authorized Keyword Search Scheme with Efficient Decryption. - Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen:
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer. - Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning. - Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. - Yueming Yin, Zhen Yang, Haifeng Hu, Xiaofu Wu:
Metric-Learning-Assisted Domain Adaptation. - Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. - Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison:
Visual Question Answering Using Semantic Information from Image Descriptions. - Kaiyan Chang, Wei Jiang, Zicheng Gong, Xiangyu Wen, Zhiyuan He, Weijia Pan:
ArchNet: Data Hiding Model in Distributed Machine Learning System. - Sepideh Mahabadi, Ilya P. Razenshteyn, David P. Woodruff, Samson Zhou:
Non-Adaptive Adaptive Sampling on Turnstile Streams. - Qi Hong, Yushun Wang, Yuezheng Gong:
Two novel classes of energy-preserving numerical approximations for the sine-Gordon equation with Neumann boundary conditions. - Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi:
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. - Jiaao Chen, Yuwei Wu, Diyi Yang:
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses. - Jing Liang, Yi-Ling Qiao, Dinesh Manocha:
OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors. - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. - Woo-Seok Lee, Sergej Flach:
Deep Learning of Chaos Classification. - Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang:
Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach. - Lalitesh Kumar, Prawendra Kumar:
Multiobjective Based LQR Design for Fractional Order Systems with Perturbations using PESA-II Algorithm. - Manfred Jaeger, Oliver Schulte:
A Complete Characterization of Projectivity for Statistical Relational Models. - Ajian Liu, Xuan Li, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li:
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. - Zengyuan Guo, Zilin Wang, Zhihui Wang, Wanli Ouyang, Haojie Li, Wen Gao:
Location-Aware Feature Selection for Scene Text Detection. - Nicole Novielli, Fabio Calefato, Filippo Lanubile:
Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE. - Benjamin Hettwer, Tobias Horn, Stefan Gehrer, Tim Güneysu:
Encoding Power Traces as Images for Efficient Side-Channel Analysis. - Tom Oomen:
Learning for Advanced Motion Control. - David Hodan, Vojtech Mrazek, Zdenek Vasícek:
Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design. - Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu:
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. - Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn:
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution. - Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung:
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile. - Shashi Narayan, Gonçalo Simões, Ji Ma, Hannah Craighead, Ryan T. McDonald:
QURIOUS: Question Generation Pretraining for Text Generation. - Dang Quang A, Dang Quang Long:
A simple numerical method of second and third orders convergence for solving a fully third order nonlinear boundary value problem. - (Withdrawn) Team Performance Evaluation Model based on Network Feature Extraction.
- Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar P:
BOLD: An Ontology-based Log Debugger for C Programs. - Amir Vakili Tahami, Kamyar Ghajar, Azadeh Shakery:
Distilling Knowledge for Fast Retrieval-based Chat-bots. - Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve, Hamed Alemohammad, David Guerena:
Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020. - Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen:
Learning Dialog Policies from Weak Demonstrations. - Alma A. M. Rahat, Michael Wood:
On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints. - Marius Meyer, Tobias Kenter, Christian Plessl:
Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite. - Emin Nuriyev, Alexey L. Lastovetsky:
Accurate runtime selection of optimal MPI collective algorithms using analytical performance modelling. - Luca Wilke, Jan Wichelmann, Mathias Morbitzer, Thomas Eisenbarth:
SEVurity: No Security Without Integrity - Breaking Integrity-Free Memory Encryption with Minimal Assumptions. - Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. - Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller:
Fast Convex Relaxations using Graph Discretizations. - Zejin Wang, Guoqing Li, Xi Chen, Hua Han:
DAN: A Deformation-Aware Network for Consecutive Biomedical Image Interpolation. - Barbara Barabasz:
Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base. - Thomas B. Preußer, Monica Chiosa, Alexander Weiss, Gustavo Alonso:
Using DSP Slices as Content-Addressable Update Queues. - Mohammed Maree, Mohammed Belkhatir:
Coupling semantic and statistical techniques for dynamically enriching web ontologies. - Bhawani Selvaretnam, Mohammed Belkhatir:
Coupled intrinsic and extrinsic human language resource-based query expansion. - Raphael Memmesheimer, Nick Theisen, Dietrich Paulus:
Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition. - Sören Bartels:
Simulation of constrained elastic curves and application to a conical sheet indentation problem. - Bhawani Selvaretnam, Mohammed Belkhatir:
Natural language technology and query expansion: issues, state-of-the-art and perspectives. - Gerlind Plonka, Therese von Wulffen:
Deterministic Sparse Sublinear FFT with Improved Numerical Stability. - Hanna Knirsch, Markus Petz, Gerlind Plonka:
Optimal Rank-1 Hankel Approximation of Matrices: Frobenius Norm, Spectral Norm and Cadzow's Algorithm. - Jeremy Ledoux, Sebastián Riffo, Julien Salomon:
Analysis of the Blade Element Momentum Theory. - Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt:
Human-Machine Collaboration for Democratizing Data Science. - Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam G. Thomas, Francisco Pereira:
Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding. - Guillaume Sanchez, Vincente Guis, Ricard Marxer, Frédéric Bouchara:
Deep Learning Classification With Noisy Labels. - Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly:
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. - Benedict Delahaye Chivers, John Wallbank, Steven J. Cole, Ondrej Sebek, Simon Stanley, Matthew Fry, Georgios Leontidis:
Imputation of missing sub-hourly precipitation data in a large sensor network: a machine learning approach. - Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès, François-David Collin, Ghislain Durif:
Kernel Operations on the GPU, with Autodiff, without Memory Overflows. - Qitong Jiang, Sebastian Kurtek, Tom Needham:
The Weighted Euler Curve Transform for Shape and Image Analysis. - Mukund Srinath, Shomir Wilson, C. Lee Giles:
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. - Elvina Gindullina, Leonardo Badia, Deniz Gündüz:
Age-of-Information with Information Source Diversity in an Energy Harvesting System. - Jeffrey Hajewski, Suely Oliveira, David E. Stewart, Laura Weiler:
gBeam-ACO: a greedy and faster variant of Beam-ACO. - Yisroel Mirsky, Wenke Lee:
The Creation and Detection of Deepfakes: A Survey. - Mirko Polato, Tommaso Carraro, Fabio Aiolli:
Conditioned Variational Autoencoder for top-N item recommendation. - Hongxuan Tang, Jing Liu, Hongyu Li, Yu Hong, Hua Wu, Haifeng Wang:
DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models. - Galymzhan Nauryzbayev, Mohamed M. Abdallah, Naofal Al-Dhahir:
Outage Analysis of Cognitive Electric Vehicular Networks over Mixed RF/VLC Channels. - Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. - Morgan Barbier, Hayat Cheballah, Jean-Marie Le Bars:
On the computation of the M{ö}bius transform. - Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized Graph Neural Network. - Huimin Peng:
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning. - Bangti Jin, Buyang Li, Zhi Zhou:
Subdiffusion with Time-Dependent Coefficients: Improved Regularity and Second-Order Time Stepping. - Vladimir Araujo, Andres Carvallo, Carlos Aspillaga, Denis Parra:
On Adversarial Examples for Biomedical NLP Tasks. - Stefan Ollinger, Lorik Dumani, Premtim Sahitaj, Ralph Bergmann, Ralf Schenkel:
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model. - Yuya Masumura, Taihei Oki, Yutaro Yamaguchi:
Dynamic Programming Approach to the Generalized Minimum Manhattan Network Problem. - Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez:
Cloud-Based Face and Speech Recognition for Access Control Applications. - Marco Virgolin, Andrea De Lorenzo, Eric Medvet, Francesca Randone:
Learning a Formula of Interpretability to Learn Interpretable Formulas. - Josep Marti-Saumell, Angel Santamaria-Navarro, Carlos Ocampo-Martinez, Juan Andrade-Cetto:
Multi-task closed-loop inverse kinematics stability through semidefinite programming. - Artur Jordão, Fernando Akio, Maiko Lie, William Robson Schwartz:
Depth-Wise Neural Architecture Search. - Ján Drgona, Aaron Tuor, Draguna L. Vrabie:
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems. - Christophe Lucas, Matteo Mio:
Proof Theory of Riesz Spaces and Modal Riesz Spaces. - Riku Murai, Sajad Saeedi, Paul H. J. Kelly:
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane. - Felix Nilsson, Jens Jakobsen, Fernando Alonso-Fernandez:
Detection and Classification of Industrial Signal Lights for Factory Floors. - Ahmed Al-Taweel, Xiaoshen Wang, Xiu Ye, Shangyou Zhang:
A stabilizer free weak Galerkin element method with supercloseness of order two. - Tomohiro Nishiyama, Igal Sason:
On Relations Between the Relative entropy and χ2-Divergence, Generalizations and Applications. - Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael M. Bronstein, Federico Monti:
SIGN: Scalable Inception Graph Neural Networks. - Nicola Demo, Giulio Ortali, Gianluca Gustin, Gianluigi Rozza, Gianpiero Lavini:
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. - Lulu Ge, Keshab K. Parhi:
Classification using Hyperdimensional Computing: A Review. - Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
Multi-level Binarized LSTM in EEG Classification for Wearable Devices. - Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. - Christian Bertram, Heike Faßbender:
Riccati ADI: Existence, uniqueness and new iterative methods. - Ghislain Fourny:
Games in Minkowski Spacetime. - Franco Dassi, Joscha Gedicke, Lorenzo Mascotto:
Adaptive virtual element methods with equilibrated flux. - Julia Kreutzer, Nathaniel Berger, Stefan Riezler:
Correct Me If You Can: Learning from Error Corrections and Markings. - Jaeho Choi, Seunghyeok Oh, Joongheon Kim:
Quantum Approximation for Multi-Scale Scheduling. - Priyadarshini Panda:
QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks. - Andreas Rene Geist, Sebastian Trimpe:
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes. - Monica Arul, Ahsan Kareem:
Applications of shapelet transform to time series classification of earthquake, wind and wave data. - Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan:
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning. - Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. - Edson R. Bollis, Hélio Pedrini, Sandra Avila:
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark. - Tomás Liendro, Sebastián Zudaire:
Hybrid Control from Scratch: A Design Methodology for Assured Robotic Missions. - Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation: Were we doing Graph Embedding all along? - Mahdi Fahmideh, Ghassan Beydoun:
Reusing empirical knowledge during cloud computing adoption. - Jianhe Yuan, Zhihai He:
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks. - Samet Gul, Erkan Zergeroglu, Enver Tatlicioglu, Mesih Veysi Kilinc:
Desired Model Compensation based Position Constrained Control of Robotic Manipulators. - Pietro Bonato, Paolo Cintia, Francesco Fabbri, Daniele Fadda, Fosca Giannotti, Pier Luigi Lopalco, Sara Mazzilli, Mirco Nanni, Luca Pappalardo, Dino Pedreschi, Francesco Penone, Salvatore Rinzivillo, Giulio Rossetti, Marcello Savarese, Lara Tavoschi:
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. - Emil Jerábek:
On the proof complexity of logics of bounded branching. - Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. - Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek:
CoInGP: Convolutional Inpainting with Genetic Programming. - Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz:
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. - Spiros Ventouras, Pantelis-Daniel M. Arapoglou:
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band. - Lara Ost, Christian Schulz, Darren Strash:
Engineering Data Reduction for Nested Dissection. - Vincent Coppé, Daan Huybrechs:
On the adaptive spectral approximation of functions using redundant sets and frames. - Gareth W. Molyneux, Viraj B. Wijesuriya, Alessandro Abate:
Bayesian Verification of Chemical Reaction Networks. - David M. Benton:
Developing Concurrent Coding: An unconventional encoding scheme applied to visible light communications. - Ahmed H. Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice:
Adaptive Forgetting Curves for Spaced Repetition Language Learning. - Luca Manzoni, Luca Mariot, Eva Tuba:
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias. - Tianxin Feng, Lifeng Xie, Jianping Yao, Jie Xu:
UAV-Enabled Data Collection for Wireless Sensor Networks with Distributed Beamforming. - Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Self-supervised Learning for Astronomical Image Classification. - Ognyan Kounchev, Georgi Simeonov, Zhana Kuncheva:
The TVBG-SEIR spline model for analysis of COVID-19 spread, and a Tool for prediction scenarios. - Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19. - Lorenzo Vangelista, Alessandro Cattapan:
Extending the Lora modulation to add further parallel channels and improve the LoRaWAN network performance. - Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine:
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads. - James Bremer, Ze Chen, Haizhao Yang:
Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. - Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos:
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. - Michael G. Kapteyn, Karen E. Willcox:
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning. - Aidmar Wainakh, Alejandro Sánchez Guinea, Tim Grube, Max Mühlhäuser:
Enhancing Privacy via Hierarchical Federated Learning. - Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan:
Supervised Contrastive Learning. - Richard Tucker, Noah Snavely:
Single-View View Synthesis with Multiplane Images. - William Aiken, Hyoungshick Kim, Simon S. Woo:
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks. - Henry Wandera, Vukosi Marivate, David Sengeh:
Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning. - Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang:
Live Trojan Attacks on Deep Neural Networks. - Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. - Aristotelis Leventidis, Jiahui Zhang, Cody Dunne, Wolfgang Gatterbauer, H. V. Jagadish, Mirek Riedewald:
QueryVis: Logic-based diagrams help users understand complicated SQL queries faster. - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Point Location and Active Learning: Learning Halfspaces Almost Optimally. - Nachum Dershowitz, Ori Terner:
Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks. - Giambattista Parascandolo, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jessica B. Hamrick, Nicolas Heess, Alexander Neitz, Theophane Weber:
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. - Clément Guilloteau, Antonios Mamalakis, Lawrence Vulis, Tryphon T. Georgiou, Efi Foufoula-Georgiou:
Rotated spectral principal component analysis (rsPCA) for identifying dynamical modes of variability in climate systems. - Pierpaolo Loreti, Andrea Mayer, Paolo Lungaroni, Stefano Salsano, Rakesh Gandhi, Clarence Filsfils:
Implementation of Accurate Per-Flow Packet Loss Monitoring in Segment Routing over IPv6 Networks. - Viet-Trung Dang, Tianyu Zhao, Sei Ueno, Hirofumi Inaguma, Tatsuya Kawahara:
End-to-end speech-to-dialog-act recognition. - Hanno Gottschalk, Karsten Kahl:
Coarsening in Algebraic Multigrid using Gaussian Processes. - Christos Tsigkanos, Martin Garriga, Luciano Baresi, Carlo Ghezzi:
Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things. - Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell:
Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. - Gabriel Lima, Meeyoung Cha:
Responsible AI and Its Stakeholders. - Clemens Seibold, Anna Hilsmann, Peter Eisert:
Style Your Face Morph and Improve Your Face Morphing Attack Detector. - Douglas M. Souza, Jonatas Wehrmann, Duncan D. Ruiz:
Efficient Neural Architecture for Text-to-Image Synthesis. - Anisur Rahaman Molla, Kaushik Mondal, William K. Moses Jr.:
Efficient Dispersion on an Anonymous Ring in the Presence of Byzantine Robots. - Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini:
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. - Jakob Piribauer, Christel Baier:
On Skolem-hardness and saturation points in Markov decision processes. - Mina Dalirrooyfard, Virginia Vassilevska Williams:
Conditionally optimal approximation algorithms for the girth of a directed graph. - Fangyu Liu, Rémi Lebret, Didier Orel, Philippe Sordet, Karl Aberer:
Upgrading the Newsroom: An Automated Image Selection System for News Articles. - Debashmita Poddar:
War of the Hashtags: Trending New Hashtags to Override Critical Topics in Social Media. - Yohei Hayamizu, Saeid Amiri, Kishan Chandan, Shiqi Zhang, Keiki Takadama:
Guided Dyna-Q for Mobile Robot Exploration and Navigation. - Alceu Bissoto, Eduardo Valle, Sandra Avila:
Debiasing Skin Lesion Datasets and Models? Not So Fast. - Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
A Gamma-Poisson Mixture Topic Model for Short Text. - Xuanyu Yin, Yoko Sasaki, Weimin Wang, Kentaro Shimizu:
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud. - Sebastian Naranjo Alvarez, Vrushali A. Bokil, Vitaliy Gyrya, Gianmarco Manzini:
The virtual element method for resistive magnetohydrodynamics. - Zsigmond Benko, Tamás Bábel, Zoltán Somogyvári:
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series. - Martin Aleksandrov:
Jealousy-freeness and other common properties in Fair Division of Mixed Manna. - Alberto Poncelas, Mohammad Aboomar, Jan Buts, James Hadley, Andy Way:
A Tool for Facilitating OCR Postediting in Historical Documents. - Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu, James Hadley, Andy Way:
Multiple Segmentations of Thai Sentences for Neural Machine Translation. - Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah:
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. - Masoud Behzadinasab, Nathaniel Trask, Yuri Bazilevs:
A unified, stable and accurate meshfree framework for peridynamic correspondence modeling. Part I: core methods. - Masoud Behzadinasab, John T. Foster, Yuri Bazilevs:
A unified, stable and accurate meshfree framework for peridynamic correspondence modeling. Part II: wave propagation and enforcement of stress boundary conditions. - david Prokop, Joseph Babigumira, Ashleigh Lewis:
Pill Identification using a Mobile Phone App for Assessing Medication Adherence and Post-Market Drug Surveillance. - Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry, Gareth Tyson:
Characterising User Content on a Multi-lingual Social Network. - Roman A. Solovyev:
Roof material classification from aerial imagery. - Leonardo Nascimento Ferreira, Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau:
Chronnet: a network-based model for spatiotemporal data analysis. - Ninghao Liu, Mengnan Du, Xia Hu:
Adversarial Machine Learning: An Interpretation Perspective. - Babak Naderi, Sebastian Möller:
Transformation of Mean Opinion Scores to Avoid Misleading of Ranked based Statistical Techniques. - Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. - Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi:
Differential Network Learning Beyond Data Samples. - Ibrahim Tamim, Manar Jammal, Hassan Hawilo, Abdallah Shami:
Introducing Virtual Security Functions into Latency-aware Placement for NFV Applications. - Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic:
Mining self-similarity: Label super-resolution with epitomic representations. - Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu:
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. - Victoria L. Lemieux, Darra L. Hofman, Hoda Amal Hamouda, Danielle Batista, Ravneet Kaur, Wen Pan, Ian Costanzo, Dean Regier, Samantha Pollard, Deirdre Weymann, Rob Fraser:
Having our omic cake and eating it too: Evaluating User Response to using Blockchain Technology for Private & Secure Health Data Management and Sharing. - Frédéric Simard, Josée Desharnais, François Laviolette:
General Cops and Robbers Games with randomness. - Tao Wang, Junsong Wang, Chang Xu, Chao Xue:
Automatic low-bit hybrid quantization of neural networks through meta learning. - Xingbo Liu, Xiushan Nie, Qi Dai, Yupan Huang, Yilong Yin:
Reinforcing Short-Length Hashing. - Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems. - Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. - Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. - José Daniel Lara, Jonathan T. Lee, Duncan S. Callaway, Bri-Mathias S. Hodge:
Computational Experiment Design for Operations Model Simulation. - Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano:
Molecular Inverse-Design Platform for Material Industries. - Johannes N. Hendriks, Nicholas O'Dell, Adrian Wills, Anton S. Tremsin, Christopher Wensrich, Takenao Shinohara:
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging. - Haotian Weng, Artem Lenskiy:
A Trend-following Trading Indicator on Homomorphically Encrypted Data. - Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. - Joyce Jiyoung Whang, Inderjit S. Dhillon:
Non-Exhaustive, Overlapping Co-Clustering: An Extended Analysis. - Yeon-Koo Che, Kyungmin Kim, Weijie Zhong:
Statistical Discrimination in Ratings-Guided Markets. - Fuad Noman, Gamal Alkawsi, Dallatu Abbas, Ammar Ahmed Alkahtani, Sieh Kiong Tiong, Janaka Ekanayake:
A Comprehensive Review of Wind Energy in Malaysia: Past, Present and Future Research Trends. - Christopher B. Choy, Wei Dong, Vladlen Koltun:
Deep Global Registration. - Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. - Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. - Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey:
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. - Jannik Dreier, Jean-Guillaume Dumas, Pascal Lafourcade, Léo Robert:
Optimal Threshold Padlock Systems. - Jan Vykopal, Valdemar Svábenský, Ee-Chien Chang:
Benefits and Pitfalls of Using Capture the Flag Games in University Courses. - Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang:
Deep Feature-preserving Normal Estimation for Point Cloud Filtering. - Damian Barabonkov, Samantha D'Alonzo, Joseph Pierre, Dániel Kondor, Xiaohu Zhang, Mai Anh Tien:
Simulating and Evaluating Rebalancing Strategies for Dockless Bike-Sharing Systems. - Ryan L. Mann, Tyler Helmuth:
Efficient Algorithms for Approximating Quantum Partition Functions. - Pierre Fortin, Ambroise Fleury, François Lemaire, Michael B. Monagan:
High performance SIMD modular arithmetic for polynomial evaluation. - Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. - Pavel Celeda, Jan Vykopal, Valdemar Svábenský, Karel Slávicek:
KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems. - Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. - Claudia S. Bianchini, Fabrizio Borgia, Margherita Castelli:
Customization and modifications of SignWriting by LIS users. - Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection via Equal Intensity k-means Space Partitioning. - Susen Yang, Yong Liu, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang:
Learning Hierarchical Review Graph Representation for Recommendation. - Scott McLachlan:
Predicted by Orwell: A discourse on the gradual shift in electronic surveillance law. - Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong:
Deep 3D Portrait from a Single Image. - Giovanni Quattrone, Antonino Nocera, Licia Capra, Daniele Quercia:
Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace. - Andrew V. Terekhov:
An extra-components method for evaluating fast matrix-vector multiplication with special functions. - Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon:
Vision based hardware-software real-time control system for autonomous landing of an UAV. - Fedor V. Fomin, Daniel Lokshtanov, Ivan Mihajlin, Saket Saurabh, Meirav Zehavi:
Computation of Hadwiger Number and Related Contraction Problems: Tight Lower Bounds. - Ivan Lerner, Jordan Jouffroy, Anita Burgun, Antoine Neuraz:
Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts. - Maarten Vandersteegen, Wouter Reusen, Kristof Van Beeck, Toon Goedemé:
Low-latency hand gesture recognition with a low resolution thermal imager. - Chang-Hui Liang, Wan-Lei Zhao, Run-Qing Chen:
Dynamic Sampling for Deep Metric Learning. - Zhongzhan Huang, Xinjiang Wang, Ping Luo:
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. - Andrea Bisoffi, Claudio De Persis, Pietro Tesi:
Data-based stabilization of unknown bilinear systems with guaranteed basin of attraction. - Thierry Denoeux:
Belief functions induced by random fuzzy sets: Application to statistical inference. - Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato:
A Survey on Visual Sentiment Analysis. - Anindya De, Elchanan Mossel, Joe Neeman:
Robust testing of low-dimensional functions. - Artem Filatov, Andrey Rykov, Viacheslav Murashkin:
Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds. - Yi-Ju Lu, Cheng-Te Li:
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. - Till Grenzdörffer, Martin Günther, Joachim Hertzberg:
YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimation. - Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, Xin Tong:
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning. - Shaull Almagor, Edon Kelmendi, Joël Ouaknine, James Worrell:
Invariants for Continuous Linear Dynamical Systems. - Ya-Hui An, Qiang Dong, Quan Yuan, Chao Wang:
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts. - K. C. Sivaramakrishnan, Stephen Dolan, Leo White, Sadiq Jaffer, Tom Kelly, Anmol Sahoo, Sudha Parimala, Atul Dhiman, Anil Madhavapeddy:
Retrofitting Parallelism onto OCaml. - Mika Ylianttila, Raimo Kantola, Andrei V. Gurtov, Lorenzo Mucchi, Ian J. Oppermann, Zheng Yan, Tri Hong Nguyen, Fei Liu, Tharaka Mawanane Hewa, Madhusanka Liyanage, Ijaz Ahmad, Juha Partala, Robert Abbas, Artur Hecker, Sara Jayousi, Alessio Martinelli, Stefano Caputo, Jonathan Bechtold, Ivan Morales, Razvan-Andrei Stoica, Giuseppe Abreu, Shahriar Shahabuddin, Erdal Panayirci, Harald Haas, Tanesh Kumar, Basak Ozan Ozparlak, Juha Röning:
6G White paper: Research challenges for Trust, Security and Privacy. - Monika Henzinger, Alexander Noe, Christian Schulz:
Faster Parallel Multiterminal Cuts. - Guillaume Matheron, Nicolas Perrin, Olivier Sigaud:
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning. - Chouaib Bencheikh Lehocine, Erik G. Ström, Fredrik Brännström:
Hybrid Combining of Directional Antennas for Periodic Broadcast V2V Communication. - Kassen Dautov, Mohammad S. Hashmi, Galymzhan Nauryzbayev, M. Nasimuddin:
Recent Advancements in Defected Ground Structure Based Near-Field Wireless Power Transfer Systems. - Lukas Finnveden, Ylva Jansson, Tony Lindeberg:
Understanding when spatial transformer networks do not support invariance, and what to do about it. - Özgün Akin, Halil Faruk Deniz, Dogukan Nefis, Alp Kiziltan, Altan Cakir:
Enabling Big Data Analytics at Manufacturing Fields of Farplas Automotive. - Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
Proving μ>1. - Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud:
Variance Reduction for Better Sampling in Continuous Domains. - Yared W. Bekele:
Deep Learning for One-dimensional Consolidation. - Hao Sha, Mohammad Al Hasan, George O. Mohler, P. Jeffrey Brantingham:
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives. - Arka Mitra, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs. - Navedanjum Ansari, Rajesh Sharma:
Identifying Semantically Duplicate Questions Using Data Science Approach: A Quora Case Study. - Hamed Jelodar, Yongli Wang, Rita Orji, Hucheng Huang:
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach. - Kai Zhou, Jiong Tang:
Structural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling. - Mohammad Moradi, Elham Ghanbari, Mehrdad Maeen, Sasan Harifi:
An approach based on Combination of Features for automatic news retrieval. - Kaspar K. Nielsen, Andrea R. Insinga, Rasmus Bjørk:
The stray- and demagnetizing field from a homogeneously magnetized tetrahedron. - Kaspar Kirstein Nielsen, Rasmus Bjørk:
The magnetic field from a homogeneously magnetized cylindrical tile. - Roya Salehzadeh, Firooz Bakhtiari-Nejad, Mahnaz Shamshirsaz:
Vibration control of a rotating cantilever beam using piezoelectric actuator and feedback linearization method. - Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target specific mining of COVID-19 scholarly articles using one-class approach. - Afzal Badshah, Anwar Ghani, Ali Daud, Anthony Theodore Chronopoulos, Ateeqa Jalal:
Revenue Maximization Approaches in IaaS Clouds: Research Challenges and Opportunities. - Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato:
Residual Energy-Based Models for Text Generation. - Vukan Ninkovic, Dejan Vukobratovic, Aleksandar Valka, Dejan Dumic:
Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah. - Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu:
Graph Learning Approaches to Recommender Systems: A Review. - Abdul Ahad, Zhen Long, Ce Zhu, Yipeng Liu:
Hierarchical Tensor Ring Completion. - Arunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet:
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening. - T. J. Tsai, Daniel Yang, Mengyi Shan, Thitaree Tanprasert, Teerapat Jenrungrot:
Using Cell Phone Pictures of Sheet Music To Retrieve MIDI Passages. - Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart:
A Survey on Edge Benchmarking. - Sarath Chandra K, Arunava Chakravarty, Nirmalya Ghosh, Tandra Sarkar, Ramanathan Sethuraman, Debdoot Sheet:
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms. - Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung:
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling. - Martijn van Ee:
A 12/7-approximation algorithm for the discrete Bamboo Garden Trimming problem. - Xiwen Chen, Kenny Q. Zhu:
ST2: Small-data Text Style Transfer via Multi-task Meta-Learning. - Qing Yang, Xia Zhu, Jong-Kae Fwu, Yun Ye, Ganmei You, Yuan Zhu:
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing. - Tim Martin, Frank Allgöwer:
Iterative data-driven inference of nonlinearity measures via successive graph approximation. - Chao Deng, Meng Liu, Xingwang Li, Yuanwei Liu:
Hardware Impairments Aware Full-Duplex NOMA Networks Over Rician Fading Channels. - Zequn Qin, Huanyu Wang, Xi Li:
Ultra Fast Structure-aware Deep Lane Detection. - Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet:
Learning Term Discrimination. - Dániel Marx, R. B. Sandeep:
Incompressibility of H-free edge modification problems: Towards a dichotomy. - Bo Li, Viktor Larsson:
GAPS: Generator for Automatic Polynomial Solvers. - Matthew Andrews, Cemil Dibek, Karina Palyutina:
Evolution of Q Values for Deep Q Learning in Stable Baselines. - Amy Ertan, Georgia Crossland, Claude Heath, David Denny, Rikke Bjerg Jensen:
Cyber Security Behaviour In Organisations. - Vahid Masoumi, Mostafa Salehi, Hadi Veisi, Golnoush Haddadian, Vahid Ranjbar, Mahsa Sahebdel:
TeleCrowd: A Crowdsourcing Approach to Create Informal to Formal Text Corpora. - Stefan Hoffmann:
State Complexity Bounds for the Commutative Closure of Group Languages. - Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Self-Organized Operational Neural Networks with Generative Neurons. - Haonan Wang, Gao Yang, Bai Yu, Mirella Lapata, Heyan Huang:
Exploring Explainable Selection to Control Abstractive Generation. - Barry de Bruin, Zoran Zivkovic, Henk Corporaal:
Quantization of Deep Neural Networks for Accumulator-constrained Processors. - Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum:
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance. - Andreas Humenberger, Laura Kovács:
Algebra-based Loop Synthesis. - Christopher Briggs, Zhong Fan, Peter Andras:
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. - Mathias Hülsbusch, Barbara König, Sebastian Küpper, Lara Stoltenow:
Conditional Bisimilarity for Reactive Systems. - Ricardo Diniz Caldas, Arthur Rodrigues, Eric Bernd Gil, Genaína Nunes Rodrigues, Thomas Vogel, Patrizio Pelliccione:
A Hybrid Approach Combining Control Theory and AI for Engineering Self-Adaptive Systems. - Christopher Briggs, Zhong Fan, Peter Andras:
A Review of Privacy Preserving Federated Learning for Private IoT Analytics. - Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang:
FLAT: Chinese NER Using Flat-Lattice Transformer. - Chi-Ning Chou, Alexander Golovnev, Santhoshini Velusamy:
Optimal Streaming Approximations for all Boolean Max-2CSPs. - Ioannis P. A. Papadopoulos, Patrick E. Farrell, Thomas M. Surowiec:
Computing multiple solutions of topology optimization problems. - Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner:
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. - Nika Dogonadze, Jana Obernosterer, Ji Hou:
Deep Face Forgery Detection. - Sergey Tarasenko, Fumihiko Takahashi:
Applications of the Streaming Networks. - Nicola Viafora, Stefanos Delikaraoglou, Pierre Pinson, Gabriela Hug, Joachim Holbøll:
Dynamic Reserve and Transmission Capacity Allocation in Wind-Dominated Power Systems. - Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
Self-Paced Deep Reinforcement Learning. - Feng Li, Runming Cong, Huihui Bai, Yifan He:
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention. - Younghwan Na, Jun Hee Kim, Kyungsu Lee, Juhum Park, Jae Youn Hwang, Jihwan P. Choi:
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images. - Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations from/for Image Generation. - Yu Cheng, Bo Yang, Bo Wang, Robby T. Tan:
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training. - Amil Khanzada, Charles Bai, Ferhat Turker Celepcikay:
Facial Expression Recognition with Deep Learning. - Alex Levering, Martin Tomko, Devis Tuia, Kourosh Khoshelham:
Detecting Unsigned Physical Road Incidents from Driver-View Images. - Jürgen Dölz, Herbert Egger, Matthias Schlottbom:
A model reduction approach for inverse problems with operator valued data. - Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani:
A survey on domain adaptation theory. - Trang C. Mai, Hien Quoc Ngo, Trung Q. Duong:
Downlink Spectral Efficiency of Cell-Free Massive MIMO Systems with Multi-antenna Users. - Ferda Ofli, Firoj Alam, Muhammad Imran:
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. - Javier Cámara, Alessandro Vittorio Papadopoulos, Thomas Vogel, Danny Weyns, David Garlan, Shihong Huang, Kenji Tei:
Towards Bridging the Gap between Control and Self-Adaptive System Properties. - Jin Xu, I-Hong Hou, Natarajan Gautam:
Age of Information for Single Buffer Systems with Vacation Server. - Xinting Yang, Song Zhang, Jintao Liu, Qinfeng Gao, Shuanglin Dong, Chao Zhou:
Deep learning for smart fish farming: applications, opportunities and challenges. - Bill Cassidy, Neil D. Reeves, Joseph Pappachan, David Gillespie, Claire O'Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David G. Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap:
DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection. - Biao Zhang, Ivan Titov, Rico Sennrich:
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. - Sonaal Kant:
Learning Gaussian Maps for Dense Object Detection. - Mohammad Afshari, Aditya Mahajan:
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise. - Amir Hosein Afshar Sedigh, Martin K. Purvis, Bastin Tony Roy Savarimuthu, Christopher K. Frantz, Maryam A. Purvis:
Impact of different belief facets on agents' decision - a refined cognitive architecture. - Pantelimon Stanica:
Investigations on c-Boomerang Uniformity and Perfect Nonlinearity. - Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien:
Optimal group testing under real world restrictions. - Tarcísio Souza Costa, Simon Gottschalk, Elena Demidova:
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. - Kevin Buchin, Chenglin Fan, Maarten Löffler, Aleksandr Popov, Benjamin Raichel, Marcel Roeloffzen:
Fréchet Distance for Uncertain Curves. - Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich:
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. - Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo:
CQE in Description Logics Through Instance Indistinguishability (extended version). - Rahul Ranjan Jha, Anamika Dubey, Kevin P. Schneider:
Conservation Voltage Reduction (CVR) via Two-Timescale Control in Unbalanced Power Distribution Systems. - Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen:
Revisiting Modulated Convolutions for Visual Counting and Beyond. - Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. - Daniel Gribel, Thibaut Vidal, Michel Gendreau:
Assortative-Constrained Stochastic Block Models. - Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. - Rezarta Islamaj Dogan, Dongseop Kwon, Sun Kim, Zhiyong Lu:
TeamTat: a collaborative text annotation tool. - Ulrik Günther, Kyle I. S. Harrington:
Tales from the Trenches: Developing sciview, a new 3D viewer for the ImageJ community. - Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian:
Adversarial Machine Learning in Network Intrusion Detection Systems. - Marichelo Garcia-Venegas, Diego Alberto Mercado-Ravell, Carlos A. Carballo-Monsivais:
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning. - Antonio Bazco Nogueras, Paul de Kerret, David Gesbert, Nicolas Gresset:
Asymptotically Achieving Centralized Rate on the Decentralized Network MISO Channel. - Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio':
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. - Behnaz Arzani, Bita Rouhani:
Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems. - Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Explainable Unsupervised Change-point Detection via Graph Neural Networks. - Mamadou Moustapha Kanté, Christophe Paul, Dimitrios M. Thilikos:
A linear fixed parameter tractable algorithm for connected pathwidth. - Michael Zhu, Kevin Murphy, Rico Jonschkowski:
Towards Differentiable Resampling. - Mattia Zeni, Ivano Bison, Britta Gauckler, Fernando Reis, Fausto Giunchiglia:
Improving time use measurement with personal big data collection - the experience of the European Big Data Hackathon 2019. - Maria-Alexandra Barina, Gabriel Barina:
From elusive to ubiquitous: understanding smart cities. - Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie:
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. - Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic Regression Driven by Training Data and Prior Knowledge. - Anh Tran, John A. Mitchell, Laura P. Swiler, Tim Wildey:
An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics. - Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig:
Practical Comparable Data Collection for Low-Resource Languages via Images. - Ranjita Thapa, Noah Snavely, Serge J. Belongie, Awais Khan:
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples. - Arnab Das, Ian Briggs, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
An Abstraction-guided Approach to Scalable and Rigorous Floating-Point Error Analysis. - Shatian Wang, Shuoguang Yang, Zhen Xu, Van-Anh Truong:
Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization. - Hana' Al-Theiabat, Aisha Al-Sadi:
The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic. - Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding:
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. - Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos J. Storkey:
Defining Benchmarks for Continual Few-Shot Learning. - Edgar Avalos, Kazuto Akagi, Yasumasa Nishiura:
Eigenfeatures: Discrimination of X-ray images of epoxy resins using singular value decomposition of deep learning features. - Xin Li, Yijia He, Jinlong Lin, Xiao Liu:
Leveraging Planar Regularities for Point Line Visual-Inertial Odometry. - Alam Noor, Bilel Benjdira, Adel Ammar, Anis Koubaa:
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture. - Pradumn Kumar Pandey, Bibhas Adhikari:
Why lockdown : On the spread of SARS-CoV-2 in India, a network approach. - Alan Anwer Abdulla, Harin Sellahewa, Sabah A. Jassim:
Improving embedding efficiency for digital steganography by exploiting similarities between secret and cover images. - Alan Anwer Abdulla, Harin Sellahewa, Sabah A. Jassim:
Steganography Based on Pixel Intensity Value Decomposition. - Andréa Bellotti, Sergey Antopolskiy, Anna Marchenkova, Alessia Colucciello, Pietro Avanzini, Giovanni Vecchiato, Jonas Ambeck-Madsen, Luca Ascari:
Brain-based control of car infotainment. - Rishiraj Saha Roy, Avishek Anand:
Question Answering over Curated and Open Web Sources. - Alan Anwer Abdulla, Sabah A. Jassim, Harin Sellahewa:
Efficient High Capacity Steganography Technique. - Nina M. Varney, Vijayan K. Asari, Quinn Graehling:
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation. - Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao:
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN. - Vasileios Klimis, George Parisis, Bernhard Reus:
Towards Model Checking Real-World Software-Defined Networks. - Bram Wallace, Bharath Hariharan:
Extending and Analyzing Self-Supervised Learning Across Domains. - Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar:
Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning. - Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Explicit Domain Adaptation with Loosely Coupled Samples. - Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, Emily Pitler:
Collecting Entailment Data for Pretraining: New Protocols and Negative Results. - Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen:
Syntactic Data Augmentation Increases Robustness to Inference Heuristics. - Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky:
Neural Head Reenactment with Latent Pose Descriptors. - Jay Mardia, Hilal Asi, Kabir Aladin Chandrasekher:
Finding Planted Cliques in Sublinear Time. - Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova:
Contextualized Representations Using Textual Encyclopedic Knowledge. - SungJin Nam, Zoya Bylinskii, Christopher Tensmeyer, Curtis Wigington, Rajiv Jain, Tong Sun:
Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions. - Morgan F. Wofford, Bernadette M. Boscoe, Christine L. Borgman, Irene V. Pasquetto, Milena S. Golshan:
Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community. - Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Guera, Fengqing Zhu, Edward J. Delp:
Deepfakes Detection with Automatic Face Weighting. - Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald, Erik Marchi, Sachin Kajarekar, Devang Naik, Ahmed Hussen Abdelaziz:
Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement. - Sangrok Lee, Eunsoo Park, Hongsuk Yi, Sang Hun Lee:
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification. - Mohammed Maree, Aseel B. Kmail, Mohammed Belkhatir:
Analysis & Shortcomings of E-Recruitment Systems: Towards a Semantics-based Approach Addressing Knowledge Incompleteness and Limited Domain Coverage. - Mohammed Belkhatir:
Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations. - Heedong Do, Namyoon Lee, Angel Lozano:
Reconfigurable ULAs for Line-of-Sight MIMO Transmission. - Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study. - Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam:
Memory-efficient training with streaming dimensionality reduction. - Kenneth Joseph, Jonathan H. Morgan:
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? - Ragav Sachdeva, Frank Neumann, Markus Wagner:
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. - Jérôme Droniou, Beniamin Goldys, Kim-Ngan Le:
Design and convergence analysis of numerical methods for stochastic evolution equations with Leray-Lions operator. - Sicong Du, Hengkai Guo, Yao Chen, Yilun Lin, Xiangbing Meng, Linfu Wen, Fei-Yue Wang:
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization. - Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. - Mohamed H. Abdelpakey, Mohamed S. Shehata:
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function. - Di Zhuang, Nam Nguyen, Keyu Chen, J. Morris Chang:
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System. - Sebastian A. Nugroho, Ahmad F. Taha, Vu Hoang:
Nonlinear Dynamic Systems Parameterization Using Interval-Based Global Optimization: Computing Lipschitz Constants and Beyond. - Xiaoxi Guo, Sujoy Sikdar, Haibin Wang, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Probabilistic Serial Mechanism for Multi-Type Resource Allocation. - David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. - Di Zhuang, Keyu Chen, J. Morris Chang:
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification. - Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Deep Photon Mapping. - Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, Qi Tian:
Deep Multimodal Neural Architecture Search. - Sho Takase, Sosuke Kobayashi:
All Word Embeddings from One Embedding. - Zhe Sun, Zihao Huang, Feng Duan, Yu Liu:
A novel multimodal approach for hybrid brain-computer interface. - Qingle Meng, Huai-An Diao, Zheng-Jian Bai:
Condition numbers for the truncated total least squares problem and their estimations. - Stefano Dafarra, Sylvain Bertrand, Robert J. Griffin, Giorgio Metta, Daniele Pucci, Jerry E. Pratt:
Non-Linear Trajectory Optimization for Large Step-Ups: Application to the Humanoid Robot Atlas. - Luhong Diao, Jinying Gao, Manman Deng:
Clustering by Constructing Hyper-Planes. - Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe:
SplitFed: When Federated Learning Meets Split Learning. - Onur Günlü, Peter Trifonov, Muah Kim, Rafael F. Schaefer, Vladimir Sidorenko:
Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage. - Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman:
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. - Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng:
Urban Anomaly Analytics: Description, Detection, and Prediction. - Lin Zhang, Ying-Chang Liang:
Deep Reinforcement Learning for Multi-Agent Non-Cooperative Power Control in Heterogeneous Networks. - David Navarro-Alarcon, Jiaming Qi, Jihong Zhu, Andrea Cherubini:
A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control. - Suyash Shandilya, Waris Quamer:
How to read faces without looking at them. - Deniz Engin, Alperen Kantarci, Seçil Arslan, Hazim Kemal Ekenel:
Offline Signature Verification on Real-World Documents. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy Preserving Distributed Machine Learning with Federated Learning. - Hari Krishna Vydana, Martin Karafiát, Katerina Zmolíková, Lukás Burget, Honza Cernocký:
Jointly Trained Transformers models for Spoken Language Translation. - Samir Karaa:
Galerkin Type Methods for Semilinear Time-Fractional Diffusion Problems. - Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak:
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. - Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye:
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation. - Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? - Moritz Geist, Philipp Petersen, Mones Raslan, Reinhold Schneider, Gitta Kutyniok:
Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks. - Léo Exibard, Emmanuel Filiot, Ayrat Khalimov:
Register Games on Infinite Ordered Data Domains. - Yishu Wang, Arnaud Mary, Marie-France Sagot, Blerina Sinaimeri:
Lazy listing of equivalence classes - A paper on dynamic programming and tropical circuits. - Thomas Brocken, G. Wessel van der Heijden, Irina Kostitsyna, Lloyd E. Lo-Wong, Remco J. A. Surtel:
Multi-robot motion planning of k-colored discs is PSPACE-hard. - Daniel Plabst, Francisco Javier García Gómez, Thomas Wiegart, Norbert Hanik:
Wiener Filter for Short-Reach Fiber-Optic Links. - Briti Gangopadhyay, Somnath Hazra, Pallab Dasgupta:
Semi-Lexical Languages - A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision. - Cédric Join, Michel Fliess, Frédéric Chaxel:
Model-Free Control as a Service in the Industrial Internet of Things: Packet loss and latency issues via preliminary experiments. - Roger Guimerà, Ignasi Reichardt, Antoni Aguilar-Mogas, Francesco Alessandro Massucci, Manuel Miranda, Jordi Pallarés, Marta Sales-Pardo:
A Bayesian machine scientist to aid in the solution of challenging scientific problems. - Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, Maosong Sun:
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence. - Mike Thelwall, Amalia Más-Bleda:
A gender equality paradox in academic publishing: Countries with a higher proportion of female first-authored journal articles have larger first author gender disparities between fields. - Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He:
DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation. - Andras Palffy, Jiaao Dong, Julian F. P. Kooij, Dariu M. Gavrila:
CNN based Road User Detection using the 3D Radar Cube. - Édouard Bonnet, Stéphan Thomassé, Xuan Thang Tran, Rémi Watrigant:
An algorithmic weakening of the Erdős-Hajnal conjecture. - Dirk van der Linden:
Interspecies information systems. - Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Learning to Update Natural Language Comments Based on Code Changes. - Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. - Mani A, Sándor Radeleczki:
Algebraic Approach to Directed Rough Sets. - Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang:
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection. - Christopher Bellman, Paul C. van Oorschot:
Best Practices for IoT Security: What Does That Even Mean? - Tim Witschel, Christian Wressnegger:
Aim Low, Shoot High: Evading Aimbot Detectors by Mimicking User Behavior. - Nirav Diwan, Devansh Batra, Ganesh Bagler:
A Named Entity Based Approach to Model Recipes. - Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen:
EfficientPose: Scalable single-person pose estimation. - David Barozzini, Lorenzo Clemente, Thomas Colcombet, Pawel Parys:
Cost Automata, Safe Schemes, and Downward Closures. - Amiram Moshaiov, Michael Zadok:
On the Generalization Capability of Evolved Counter-propagation Neuro-controllers for Robot Navigation. - Georg Rehm, Karolina Zaczynska, Julián Moreno Schneider, Malte Ostendorff, Peter Bourgonje, Maria Berger, Jens Rauenbusch, André Schmidt, Mikka Wild:
Towards Discourse Parsing-inspired Semantic Storytelling. - Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu:
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. - Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine:
QURATOR: Innovative Technologies for Content and Data Curation. - Amine Kechaou, Manuel Martínez, Monica Haurilet, Rainer Stiefelhagen:
Detective: An Attentive Recurrent Model for Sparse Object Detection. - Mengjie Zhao, Philipp Dufter, Yadollah Yaghoobzadeh, Hinrich Schütze:
Quantifying the Contextualization of Word Representations with Semantic Class Probing. - Alexander Jung:
Local Graph Clustering with Network Lasso. - Menglong Xu, Xiao-Lei Zhang:
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting. - Eduardo Nigri, Nivio Ziviani, Fabio A. M. Cappabianco, Augusto Antunes, Adriano Veloso:
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. - Abigail Z. Jacobs, Michaelanne Dye:
Internet-human infrastructures: Lessons from Havana's StreetNet. - Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang:
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. - Lior Sidi, Hadar Klein:
Neural Network-Based Collaborative Filtering for Question Sequencing. - Yitong Li, Wenying Ji, Simaan M. AbouRizk:
Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling. - Ozan Sener, Vladlen Koltun:
Learning to Guide Random Search. - Shangyu Xie, Han Wang, Yuan Hong, My Thai:
Privacy Preserving Distributed Energy Trading. - Shubhankar Mohan, Aditi Chaudhary, Prachie Gupta, Ritu Tiwari:
Gesture controlled environment using sixth sense technology and its implementation in IoT. - Eduard Eiben, Robert Ganian, Thekla Hamm, Fabian Klute, Martin Nöllenburg:
Extending Partial 1-Planar Drawings. - Avah Banerjee, Guoli Ding:
Online Mincut: Advice, Randomization and More. - Yaron Fairstein, Ariel Kulik, Joseph Naor, Danny Raz, Hadas Shachnai:
A (1-e-1-ε)-Approximation for the Monotone Submodular Multiple Knapsack Problem. - Koosha Zarei, Reza Farahbakhsh, Noël Crespi, Gareth Tyson:
A First Instagram Dataset on COVID-19. - Yuanhao Xiong, Cho-Jui Hsieh:
Improved Adversarial Training via Learned Optimizer. - Aniket Pokale, Aditya Aggarwal, K. Madhava Krishna:
Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image. - Abhishek Kumar, Trisha Mittal, Dinesh Manocha:
MCQA: Multimodal Co-attention Based Network for Question Answering. - Jiaao Chen, Zichao Yang, Diyi Yang:
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification. - Halgurd Sarhang Maghdid, Kayhan Zrar Ghafoor:
A Smartphone enabled Approach to Manage COVID-19 Lockdown and Economic Crisis. - Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu:
Congestion-aware Evacuation Routing using Augmented Reality Devices. - Arda Akdemir, Tetsuo Shibuya, Tunga Güngör:
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology. - Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, Song-Chun Zhu:
Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. - Yashar Naeimi, Farzan Kooben, Mohamad Hanif Moallem:
Calculation of the Optimal Installation Angle for Seasonal Adjusting of PV Panels Based on Solar Radiation Prediction. - Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh:
Privacy in Deep Learning: A Survey. - Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou:
TPNet: Trajectory Proposal Network for Motion Prediction. - Uriel Feige, Vadim Grinberg:
How to hide a clique? - Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. - Iqtadar Hussain, Amir Anees, Temadher Alassiry Al-Maadeed, M. T. Mustafa:
A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group. - Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber:
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. - Mahadevan Ganesh, Frances Y. Kuo, Ian H. Sloan:
Quasi-Monte Carlo finite element analysis for wave propagation in heterogeneous random media. - Weiming Xiang, Hoang-Dung Tran, Xiaodong Yang, Taylor T. Johnson:
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach. - Baoyu Jing, Zeya Wang, Eric P. Xing:
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports. - Chao Min, Qingyu Chen, Erjia Yan, Yi Bu, Jianjun Sun:
Citation Cascade and the Evolution of Topic Relevance. - Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie:
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. - Sheng Shi, Yangzhou Du, Wei Fan:
An Extension of LIME with Improvement of Interpretability and Fidelity. - Rui Peng, David Navarro-Alarcon, Victor Wu, Wen Yang:
A Point Cloud-Based Method for Automatic Groove Detection and Trajectory Generation of Robotic Arc Welding Tasks. - Tong Zhou:
Causality and Impulse Mode Freeness of an NDS with Descriptor Form Subsystems. - Tript Sharma, Utkarsh Upadhyay, Jushaan Singh Kalra, Sakshi Arora, Saad Ahmad, Bhavay Aggarwal, Ganesh Bagler:
Hierarchical Clustering of World Cuisines. - Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki:
Stomach 3D Reconstruction Based on Virtual Chromoendoscopic Image Generation. - Dara Bahri, Heinrich Jiang, Maya R. Gupta:
Deep k-NN for Noisy Labels. - Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao:
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching. - Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. - Su Zhu, Ruisheng Cao, Kai Yu:
Dual Learning for Semi-Supervised Natural Language Understanding. - Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li:
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. - Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi:
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System. - Weijie Zheng, Huanhuan Chen, Xin Yao:
Analysis of Evolutionary Algorithms on Fitness Function with Time-linkage Property. - Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Methods for Computing Legal Document Similarity: A Comparative Study. - Xiang Xu, Yanxiang Zhao:
Maximum Principle Preserving Schemes for Binary Systems with Long-range Interactions. - Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun:
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation. - Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Peixiang Zhong, Yan Sun, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao:
Endowing Empathetic Dialogue Systems with Personas. - Èric Pairet, Juan David Hernández, Yvan R. Petillot, Morteza Lahijanian:
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments. - Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan:
Federated Transfer Learning for EEG Signal Classification. - Adrian Groza:
Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology. - Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu:
Neural Topic Modeling with Bidirectional Adversarial Training. - Kawin Ethayarajh:
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. - Leila Ismail, Huned Materwala:
Computing server power modeling in a data center: survey, taxonomy and performance evaluation. - Mateusz Zarski, Bartosz Wójcik, Jaroslaw Adam Miszczak:
Transfer learning for leveraging computer vision in infrastructure maintenance. - Ruchit Rawal, Prabhu Pradhan:
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data. - Gopikrishnan Chirappurathu Remesan:
Strong bounded variation estimates for the multi-dimensional finite volume approximation of scalar conservation laws. - Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can, Ryosuke Nakamura:
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition. - Ferdi Kara, Hakan Kaya:
Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC. - Hui Wang, Mike Preuss, Aske Plaat:
Warm-Start AlphaZero Self-Play Search Enhancements. - Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf:
Evaluation Metrics for Conditional Image Generation. - Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang:
Relational Graph Attention Network for Aspect-based Sentiment Analysis. - Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, Jianxing Yu:
Multi-Domain Dialogue Acts and Response Co-Generation. - Michael Ruderman:
Extended fractional-order Jeffreys model of viscoelastic hydraulic cylinder. - Matthew Hague, Anthony Widjaja Lin, Philipp Rümmer, Zhilin Wu:
Monadic Decomposition in Integer Linear Arithmetic (Technical Report). - Sameera Horawalavithana, John Skvoretz, Adriana Iamnitchi:
Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks. - Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, Monojit Choudhury:
GLUECoS : An Evaluation Benchmark for Code-Switched NLP. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry:
Signature-based Selection of IaaS Cloud Services. - Xiangdong Zhang, Tengjun Wang, Yun Yang:
Hyperspectral image classification based on multi-scale residual network with attention mechanism. - Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang:
Towards Feature Space Adversarial Attack. - Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha:
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias. - Keyu Yang, Yunjun Gao, Lei Liang, Song Bian, Lu Chen, Baihua Zheng:
CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification. - Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. - Jerry Zikun Chen:
Reinforcement Learning Generalization with Surprise Minimization. - Ferdi Kara, Hakan Kaya:
Error Probability Analysis of Non-Orthogonal Multiple Access with Channel Estimation Errors. - Ansgar Fehnker, Hubert Garavel:
Proceedings of the 4th Workshop on Models for Formal Analysis of Real Systems, MARS@ETAPS 2020, Dublin, Ireland, April 26, 2020. EPTCS 316, 2020 [contents] - Mengjie Zhao, Tao Lin, Martin Jaggi, Hinrich Schütze:
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. - Ferdi Kara, Hakan Kaya:
Error Analysis of Decode-Forward Cooperative Relaying NOMA Schemes over Nakagami-m Fading Channels. - Yazeed Alharbi, Peter Wonka:
Disentangled Image Generation Through Structured Noise Injection. - Ziyou Song, Fanny A. Pinto Delgado, Jun Hou, Heath F. Hofmann, Jing Sun:
Individual Cell Fault Detection for Parallel-Connected Battery Cells Based on the Statistical Model and Analysis. - Ahmet Emir, Ferdi Kara, Hakan Kaya:
Pilot Interval Reduction by Deep Learning Based Detectors in Uplink NOMA. - Yajun Yang, Hang Zhang, Hong Gao, Qinghua Hu, Xin Wang:
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks. - Qian Wang, Toby P. Breckon:
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation. - Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou:
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization. - Manolis C. Tsakiris:
An exposition to the finiteness of fibers in matrix completion via Plücker coordinates. - Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, Gaofeng Meng, Shiming Xiang, Jian Sun, Jiaya Jia:
Stitcher: Feedback-driven Data Provider for Object Detection. - Steven Platt, Miquel Oliver:
A Distributed Ledger-Enabled Interworking Model for the Wireless Air Interface. - Meng Cao, Yuexian Zou:
All you need is a second look: Towards Tighter Arbitrary shape text detection. - Steven Platt, Miquel Oliver:
Towards Blockchain for Decentralized Self-Organizing Wireless Networks. - Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jianguang Lou, Biqing Huang:
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language. - Sourav Das, Samuel Wedaj, Kolin Paul, Umesh Bellur, Vinay Joseph Ribeiro:
Airmed: Efficient Self-Healing Network of Low-End Devices. - Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. - Ling Qiu, Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh:
Resiliency Analysis and Improvement of Variational Quantum Factoring in Superconducting Qubit. - Piotr Rybak, Alina Wróblewska:
Semi-Supervised Neural System for Tagging, Parsing and Lematization. - Sitao Xiang, Yuming Gu, Pengda Xiang, Mingming He, Koki Nagano, Haiwei Chen, Hao Li:
One-Shot Identity-Preserving Portrait Reenactment. - Berna Bulut:
Experimental Analysis and Evaluation of RaptorQ Codes for Video Multicasting over Wi-Fi. - Muhammad Lawan Jibril, Usman Sani Sharif:
Power of Artificial Intelligence to Diagnose and Prevent Further COVID-19 Outbreak: A Short Communication. - Yuteng Zhu:
Designing a physically-feasible colour filter to make a camera more colorimetric. - Mingmou Liu, Yitong Yin, Huacheng Yu:
Succinct Filters for Sets of Unknown Sizes. - Alan Anwer Abdulla, Harin Sellahewa, Sabah A. Jassim:
Stego Quality Enhancement by Message Size Reduction and Fibonacci Bit-Plane Mapping. - Alan Anwer Abdulla, Sabah A. Jassim, Harin Sellahewa:
Secure Steganography Technique Based on Bitplane Indexes. - Ruixuan Yan, Agung Julius:
Distributed Monitoring of Robot Swarms with Swarm Signal Temporal Logic. - J. Edward Hu, Adith Swaminathan, Hadi Salman, Greg Yang:
Improved Image Wasserstein Attacks and Defenses. - Najma Mathema, Michael A. Goodrich, Jacob W. Crandall:
Predicting Plans and Actions in Two-Player Repeated Games. - Andrew Wood, Ali Sydney, Peter Chin, Bishal Thapa, Ryan Ross:
GymFG: A Framework with a Gym Interface for FlightGear. - Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen:
On the Limits to Multi-Modal Popularity Prediction on Instagram - A New Robust, Efficient and Explainable Baseline. - Xiu Ye, Shangyou Zhang:
Numerical investigation on weak Galerkin finite elements. - Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio:
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. - Delyan Z. Kalchev, Thomas A. Manteuffel, Steffen Münzenmaier:
Mixed (LL*)-1 and LL* least-squares finite element methods with application to linear hyperbolic problems. - Daniel Bakkelund:
Order preserving hierarchical agglomerative clustering of strict posets. - Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks. - Ilshat Gibadullin, Aidar Valeev:
Experiments with LVT and FRE for Transformer model. - Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
Learning and Testing Junta Distributions with Subcube Conditioning. - Haiyan Wang, Xuejian Rong, Liang Yang, Jinglun Feng, Jizhong Xiao, Yingli Tian:
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes. - Chandra Mouli Madhav Kotteti, Xishuang Dong, Lijun Qian:
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media. - Razieh L. Saremi, Mostaan Lotfalian Saremi, Prasad Desai, Robert Anzalone:
Is This the Right Time to Post My Task? An Empirical Analysis on a Task Similarity Arrival in TopCoder. - Paulo Almeida, Manuel Marques-Pita, Joana Gonçalves-Sá:
PTPARL-D: Annotated Corpus of 44 years of Portuguese Parliament debates. - Mostaan Lotfalian Saremi, Razieh L. Saremi, Denisse Martinez-Mejorado:
How Much Should I Pay? An Empirical Analysis on Monetary Prize in TopCoder. - Wei-Jen Ko, Junyi Jessy Li:
Assessing Discourse Relations in Language Generation from Pre-trained Language Models. - Kaibo Hu, Qian Zhang, Zhimin Zhang:
Simple curl-curl-conforming finite elements in two dimensions. - Mohammad Motamed:
Hierarchical Low-Rank Approximation of Regularized Wasserstein Distance. - Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. - Benjamin Shickel, Parisa Rashidi:
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. - Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio W. Mayol-Cuevas:
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays. - Andrew Feit, Bérénice Mettler:
Subgoal Planning Algorithm for Autonomous Vehicle Guidance. - Jerrod Parker, Jerry Zikun Chen:
Neural Machine Translation with Monte-Carlo Tree Search. - Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin:
Towards Accurate and Robust Domain Adaptation under Noisy Environments. - Yanzhao Cao, Somak Das, Luke Oeding, Hans-Werner van Wyk:
Analysis of the Stochastic Alternating Least Squares Method for the Decomposition of Random Tensors. - Kazuya Nishimura, Ryoma Bise:
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN. - William Kuszmaul, Alek Westover:
In-Place Parallel-Partition Algorithms using Exclusive-Read-and-Write Memory: An In-Place Algorithm With Provably Optimal Cache Behavior. - Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. - Sohee Cho, Ginkyeng Lee, Jaesik Choi:
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units. - Hao Zhang, Zhan Li, Zhixing Ren:
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection. - Taehun Jung, Hanju Yoo, Yuna Jin, Chae-Eun Rhee, Chan-Byoung Chae:
Wireless VR/Haptic Open Platform for Multimodal Teleoperation. - Soo-Min Kim, Han Cha, Seong-Lyun Kim, Chan-Byoung Chae:
Demo: A Reinforcement Learning-based Flexible Duplex System for B5G with Sub-6 GHz. - Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi:
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. - Tailin Niu, Kangquan Li, Longjiang Qu, Qiang Wang:
A general method for finding the compositional inverses of permutations from the AGW criterion. - Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo Silva, Miri Weiss-Cohen, Frederico Gadelha Guimarães:
Forecasting in Non-stationary Environments with Fuzzy Time Series. - Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han:
Automatic Textual Evidence Mining in COVID-19 Literature. - Shih-Hao Tseng, Jing Shuang Li:
SLSpy: Python-Based System-Level Controller Synthesis Framework. - Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han:
System Level Synthesis via Dynamic Programming. - Noshin Amiri, Iman Naderi:
DWT-GBT-SVD-based Robust Speech Steganography. - Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real-World Robotic Reinforcement Learning. - Xinjian Luo, Xiangqi Zhu:
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning. - Vahid Roostapour, Aneta Neumann, Frank Neumann:
Evolutionary Multi-Objective Optimization for the Dynamic Knapsack Problem. - Kazutaka Kanno, Makoto Naruse, Atsushi Uchida:
Adaptive model selection in photonic reservoir computing by reinforcement learning. - Ye Xia, Gwendolyn Lee:
How to Return to Normalcy: Fast and Comprehensive Contact Tracing of COVID-19 through Proximity Sensing Using Mobile Devices. - Kun Cheng, Yuebin Bai, Yuan Zhou, Chao Yu, Yang Liu:
Multi-IF : An Approach to Anomaly Detection in Self-Driving Systems. - Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Oliver Wu:
A Batch Normalized Inference Network Keeps the KL Vanishing Away. - Mingjie Shao, Wing-Kin Ma:
Binary MIMO Detection via Homotopy Optimization and Its Deep Adaptation. - Dominik Köppl, Daiki Hashimoto, Diptarama Hendrian, Ayumi Shinohara:
In-Place Bijective Burrows-Wheeler Transforms. - Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu:
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. - Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Koan-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, B. Y. Shen, Kloze Kao, Chia-Ming Cheng, Hung-Jen Chen:
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency. - Jiaming Mao, Zhesheng Zheng:
Structural Regularization. - Qiang Liu, Zhaocheng Liu, Haoli Zhang:
An Empirical Study on Feature Discretization. - Sang Hyun Park, Dongsoo Jun, Byoungnam Kim, Dong Ku Kim, Chan-Byoung Chae:
Demo: MmWave Lens MIMO. - Bjarne Großmann, Volker Krüger:
Continuous hand-eye calibration using 3D points. - Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. - Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. - Amelie Royer, Christoph H. Lampert:
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. - Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato:
Preliminary Forensics Analysis of DeepFake Images. - Jan Portisch, Sven Hertling, Heiko Paulheim:
Visual Analysis of Ontology Matching Results with the MELT Dashboard. - Devashish Prasad, Ayan Gadpal, Kshitij Kapadni, Manish Visave, Kavita Sultanpure:
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents. - Sayan Bandyapadhyay:
On Perturbation Resilience of Non-Uniform k-Center. - Jin Hyeok Yoo, Yecheol Kim, Ji Song Kim, Jun Won Choi:
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection. - Jan-Niklas Voigt-Antons, Tanja Kojic, Danish Ali, Sebastian Möller:
Influence of Hand Tracking as a way of Interaction in Virtual Reality on User Experience. - Valerio Bonometti, Charles Ringer, Mathieu J. Ruiz, Alex R. Wade, Anders Drachen:
From Theory to Behaviour: Towards a General Model of Engagement. - Yi Li, David P. Woodruff:
Input-Sparsity Low Rank Approximation in Schatten Norm. - Priyanka Antil:
Requirements engineering in global scaled agile software development environment: a multi-vocal literature review protocol. - Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu:
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. - Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall:
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos. - Toni Karvonen, Chris J. Oates, Mark Girolami:
Integration in reproducing kernel Hilbert spaces of Gaussian kernels. - Mark Burgess:
Information and Causality in Promise Theory. - Paritosh Garg, Sagar Kale, Lars Rohwedder, Ola Svensson:
Robust Algorithms under Adversarial Injections. - Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt:
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. - Christian Muench, Frans A. Oliehoek, Dariu M. Gavrila:
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control. - Lanyun Zhu, Shiping Zhu, Xuanyi Liu, Li Luo:
Distance Guided Channel Weighting for Semantic Segmentation. - Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan:
Lexically Constrained Neural Machine Translation with Levenshtein Transformer. - Martin Lück:
On the Complexity of Linear Temporal Logic with Team Semantics. - Eva-Maria C. Hols, Stefan Kratsch, Astrid Pieterse:
Approximate Turing Kernelization for Problems Parameterized by Treewidth. - Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. - Ignasi Sau, Giannos Stamoulis, Dimitrios M. Thilikos:
k-apices of minor-closed graph classes. II. Parameterized algorithms. - Yuriy Mironenko, Konstantin Kalinin, Mikhail Kopeliovich, Mikhail Petrushan:
Remote Photoplethysmography: Rarely Considered Factors. - Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou:
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. - Mikhail Y. R. Gadelha, Lucas C. Cordeiro, Denis A. Nicole:
An Efficient Floating-Point Bit-Blasting API for Verifying C Programs. - Ranjith Dinakaran, Li Zhang, Richard Jiang:
In-Vehicle Object Detection in the Wild for Driverless Vehicles. - Dipankar Chaki, Athman Bouguettaya, Sajib Mistry:
A Conflict Detection Framework for IoT Services in Multi-resident Smart Homes. - Mikhail Kopeliovich, Konstantin Kalinin, Yuriy Mironenko, Mikhail Petrushan:
On indirect assessment of heart rate in video. - Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. - Gianni Dal Maso, Luca Heltai:
A numerical study of the jerky crack growth in elastoplastic materials with localized plasticity. - Chunhua Jia, Lei Zhang, Hui Huang, Weiwei Cai, Hao Hu, Rohan Adivarekar:
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task. - Andrei Pavlov, Iman Shames, Chris Manzie:
Interior Point Differential Dynamic Programming. - Reynald Affeldt, Jacques Garrigue, Takafumi Saikawa:
Formal Adventures in Convex and Conical Spaces. - Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. - Yongjian Fu, Xintian Wu, Xi Li, Zhijie Pan, Daxin Luo:
Semantic Neighborhood-Aware Deep Facial Expression Recognition. - Kawin Ethayarajh, Dorsa Sadigh:
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. - Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata:
Screenplay Summarization Using Latent Narrative Structure. - Kilian Kleeberger, Marco F. Huber:
Single Shot 6D Object Pose Estimation. - Yanmin Wu, Yunzhou Zhang, Delong Zhu, Yonghui Feng, Sonya Coleman, Dermot Kerr:
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association. - Youcheng Huang, Tangchen Wei, Jundong Zhou, Chunxin Yang:
Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing Networks. - Noemi Mauro, Liliana Ardissono, Federica Cena:
Personalized Recommendation of PoIs to People with Autism. - Yusuke Kawamoto:
An Epistemic Approach to the Formal Specification of Statistical Machine Learning. - Trang Ngoc Cao, Vahid Jamali, Nikola Zlatanov, Phee Lep Yeoh, Jamie S. Evans, Robert Schober:
Fractionally-Spaced Equalization and Decision Feedback Sequence Detection for Diffusive MC. - Samir Datta, Pankaj Kumar, Anish Mukherjee, Anuj Tawari, Nils Vortmeier, Thomas Zeume:
Dynamic complexity of Reachability: How many changes can we handle? - Clemens Grabmayer, Wan J. Fokkink:
A Complete Proof System for 1-Free Regular Expressions Modulo Bisimilarity. - Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes:
Augmenting Transformers with KNN-Based Composite Memory for Dialogue. - Rui Ma, Amal A. Alahmadi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Software Matching in Distributed Vehicular Fog Based Architecture with Cloud and Fixed Fog Nodes. - Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen:
MATE: A Model-based Algorithm Tuning Engine. - Richard Csaky, Gábor Recski:
The Gutenberg Dialogue Dataset. - Yunxia Lin, Songcan Chen:
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. - Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner:
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. - Mattia Samory, Indira Sen, Julian Kohne, Fabian Flöck, Claudia Wagner:
"Unsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples. - Issa Annamoradnejad:
ColBERT: Using BERT Sentence Embedding for Humor Detection. - Maher Alharby, Roben Castagna Lunardi, Amjad Aldweesh, Aad van Moorsel:
Data-Driven Model-Based Analysis of the Ethereum Verifier's Dilemma. - Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition. - Cristóbal Eyzaguirre, Alvaro Soto:
Differentiable Adaptive Computation Time for Visual Reasoning. - Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu:
Adversarial Fooling Beyond "Flipping the Label". - Volodymyr Rospotniuk, Rupert Small:
Optimal Any-Angle Pathfinding on a Sphere. - Aditya Gopalan, Himanshu Tyagi:
How Reliable are Test Numbers for Revealing the COVID-19 Ground Truth and Applying Interventions? - Anshul Tanwar, Krishna Sundaresan, Parmesh Ashwath, Prasanna Ganesan, Sathish Kumar Chandrasekaran, Sriram Ravi:
Predicting Vulnerability In Large Codebases With Deep Code Representation. - Chao Li, Balaji Palanisamy:
EventWarden: A Decentralized Event-driven Proxy Service for Outsourcing Arbitrary Transactions in Ethereum-like Blockchains. - Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner:
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. - René Mellema, Maarten Jensen, Frank Dignum:
Social rules for agent systems. - Lyes Rahmouni, Francesco Paolo Andriulli:
A New Preconditioner for the EFIE Based on Primal and Dual Graph Laplacian Spectral Filters. - Takato Yasuno, Michihiro Nakajima, Kazuhiro Noda:
Per-pixel Classification Rebar Exposures in Bridge Eye-inspection. - Michael V. Basin:
Discussion of "Design of Controllers with Arbitrary Convergence Time" (Automatica 112 (2020) 108710). - Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Yui-Lam Chan:
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder. - Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Why should we add early exits to neural networks? - Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu:
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. - Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler:
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. - Sacha Brisset, Romain Rouvoy, Renaud Pawlak, Lionel Seinturier:
SFTM: Fast Comparison of Web Documents using Similarity-based Flexible Tree Matching. - Sylvain Gravier, Hippolyte Signargout, Souad Slimani:
Optimal Adjacent Vertex-Distinguishing Edge-Colorings of Circulant Graphs. - Liming Zhang, Andreas Züfle, Dieter Pfoser:
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization. - Omar Khattab, Matei Zaharia:
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. - Igor Samenko, Alexey Tikhonov, Ivan P. Yamshchikov:
Synonyms and Antonyms: Embedded Conflict. - Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio:
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems. - Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour:
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. - Masataro Asai, Christian Muise:
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS). - Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, Stergios Christodoulidis, Trieu-Nghi Hoang-Thi, Severine Dangeard, Eric Deutsch, Fabrice André, Enora Guillo, Nara Halm, Stefany El Hajj, Florian Bompard, Sophie Neveu, Chahinez Hani, Ines Saab, Alienor Campredon, Hasmik Koulakian, Souhail Bennani, Gael Freche, Aurelien Lombard, Laure Fournier, Hippolyte Monnier, Teodor Grand, Jules Gregory, Antoine Khalil, Elyas Mahdjoub, Pierre-Yves Brillet, Stephane Tran Ba, Valérie Bousson, Marie-Pierre Revel, Nikos Paragios:
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia. - Lei Liu, Xinglei Dou:
A New Qubits Mapping Mechanism for Multi-programming Quantum Computing. - Julia Gabet, Nobuko Yoshida:
Static Race Detection and Mutex Safety and Liveness for Go Programs (extended version). - Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan:
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. - Marin Bougeret, Bart M. P. Jansen, Ignasi Sau:
Bridge-Depth Characterizes which Structural Parameterizations of Vertex Cover Admit a Polynomial Kernel. - Lorenzo Clemente, Slawomir Lasota, Radoslaw Piórkowski:
Timed games and deterministic separability. - Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli:
Robustness of Nash Equilibria in Network Games. - Saurabh Arora, Bikramjit Banerjee, Prashant Doshi:
Maximum Entropy Multi-Task Inverse RL. - Firas Dhaouadi, Emilie Duval, Sergey Tkachenko, Jean-Paul Vila:
Stability theory for some scalar finite difference schemes : Validity of the modified equations approach. - Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge:
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN). - Shay Golan, Tomasz Kociumaka, Tsvi Kopelowitz, Ely Porat:
The Streaming k-Mismatch Problem: Tradeoffs between Space and Total Time. - Jean-Joseph Marty, Lucas Franceschino, Jean-Pierre Talpin, Niki Vazou:
LIO*: Low Level Information Flow Control in F. - Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques. - David Cohen, Kristian Debrabant, Andreas Rößler:
High order numerical integrators for single integrand SDEs. - Diptarka Chakraborty, Keerti Choudhary:
New Extremal bounds for Reachability and Strong-Connectivity Preservers under failures. - Gianluca Curzi, Michele Pagani:
The Benefit of Being Non-Lazy in Probabilistic λ-calculus. - Clément L. Canonne, Karl Wimmer:
Testing Data Binnings. - Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders. - Heng-Chien Liou, Hung-Yun Hsieh:
Modeling Friendship Networks among Agents with Personality Traits. - James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David A. Sontag:
Knowledge Base Completion for Constructing Problem-Oriented Medical Records. - Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe:
A general approach to progressive intelligence. - Hao Sun, Xinyu Pan, Bo Dai, Dahua Lin, Bolei Zhou:
Evolutionary Stochastic Policy Distillation. - Himaja Kesavareddigari, Atilla Eryilmaz:
Optimal Decisions of a Rational Agent in the Presence of Biased Information Providers. - Sariah Mghames, Marc Hanheide, Amir Ghalamzan E:
Planning Actions by Interactive Movement Primitives: pushing occluding pieces to pick a ripe fruit. - Emmanuel Filiot, Raffaella Gentilini, Jean-François Raskin:
The Adversarial Stackelberg Value in Quantitative Games. - Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return then explore. - Rumit Kumar, Aditya Milind Deshpande, James Z. Wells, Manish Kumar:
Flight Control of Sliding Arm Quadcopter with Dynamic Structural Parameters. - Roquia Mushtaq, Naveed Ahmad, Aimal Rextin, Muhammad Muddassir Malik:
Improving Usability of User Centric Decision Making of Multi-Attribute Products on E-commerce Websites. - Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh:
Rateless Codes for Private Distributed Matrix-Matrix Multiplication. - Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein:
A New Age of Computing and the Brain. - Alfredo Nazábal, Christopher K. I. Williams, Giovanni Colavizza, Camila Rangel Smith, Angus Williams:
Data Engineering for Data Analytics: A Classification of the Issues, and Case Studies. - Xiang Kong, Varun Gangal, Eduard H. Hovy:
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. - Costanza Conforti, Stephanie Hirmer, David Morgan, Marco Basaldella, Yau Ben Or:
Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling. - Marcela G. dos Santos, Darine Ameyed, Fábio Petrillo, Fehmi Jaafar, Mohamed Cheriet:
Internet of Things Architectures: A Comparative Study. - Ross T. Whitaker, William B. Thompson, James Berger, Baruch Fischhof, Michael F. Goodchild, Mary Hegarty, Christopher M. Jermaine, Kathryn S. McKinley, Alex Pang, Joanne Wendelberger:
Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science. - Ahmed S. Alahmed, Muhammed M. Almuhaini:
Hybrid Top-Down and Bottom-Up Approach for Investigating Residential Load Compositions and Load Percentages. - Cameron Calk, Anupam Das, Tim Waring:
Beyond formulas-as-cographs: an extension of Boolean logic to arbitrary graphs. - Pedro Morgado, Nuno Vasconcelos, Ishan Misra:
Audio-Visual Instance Discrimination with Cross-Modal Agreement. - Michael Günther, Andreas Bartel, Birgit Jacob, Timo Reis:
Dynamic iteration schemes and port-Hamiltonian formulation in coupled DAE circuit simulation. - Tengyu Xu, Zhe Wang, Yingbin Liang:
Improving Sample Complexity Bounds for Actor-Critic Algorithms. - Marzieh Najafi, Vahid Jamali, Robert Schober, H. Vincent Poor:
Physics-based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces. - Pascal Caron, Edwin Hamel-De le Court, Jean-Gabriel Luque:
The state complexity of a class of operations involving roots and boolean operations. - Changliu Liu:
A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning. - Roykrong Sukkerd, Reid G. Simmons, David Garlan:
Tradeoff-Focused Contrastive Explanation for MDP Planning. - Elizabeth D. Mynatt, Alice Borrelli, Sara J. Czaja, Erin Iturriaga, Jeff Kaye, Wendy Nilsen, Dan Siewiorek, John A. Stankovic:
Trans-NIH/Interagency Workshop on the Use and Development of Assistive Technology for the Aging Population and People with Chronic Disabilities. - Nikki Hurst, Caitlyn Clabaugh, Rachel Baynes, Jeffrey F. Cohn, Donna Mitroff, Stefan Scherer:
Social and Emotional Skills Training with Embodied Moxie. - Kha Van Huynh, Barbara Kaltenbacher:
Some application examples of minimization based formulations of inverse problems and their regularization. - Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu:
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. - Bahman Kalantari, Chun Lau, Yikai Zhang:
A Geometric Algorithm for Solving Linear Systems. - Ahmed Arafa, Karim Banawan, Karim G. Seddik, H. Vincent Poor:
Timely Estimation Using Coded Quantized Samples. - Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D scene reconstruction from a single RGB image. - Alfonso Cevallos, Alistair Stewart:
Validator election in nominated proof-of-stake. - Yang Zhou, Dingzeyu Li, Xintong Han, Evangelos Kalogerakis, Eli Shechtman, Jose Echevarria:
MakeItTalk: Speaker-Aware Talking Head Animation. - Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin:
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
A New QoS-Guarantee Strategy for NOMA Assisted Semi-Grant-Free Transmission. - Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das:
One Sparse Perturbation to Fool them All, almost Always! - Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy:
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. - Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
ML-driven Malware that Targets AV Safety. - Zhuolin Jiang, Amro El-Jaroudi, William Hartmann, Damianos G. Karakos, Lingjun Zhao:
Cross-lingual Information Retrieval with BERT. - Onur Barut, Yan Luo, Tong Zhang, Weigang Li, Peilong Li:
NetML: A Challenge for Network Traffic Analytics. - Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ana B. Gil González, María N. Moreno García:
A session-based song recommendation approach involving user characterization along the play power-law distribution. - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer For Ranked List Truncation. - Ali Borji:
Harnessing adversarial examples with a surprisingly simple defense. - Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel:
Scale-free Protocol Design for Output Synchronization of Heterogeneous Multi-agent subject to Unknown, Non-uniform and Arbitrarily Large Input Delays. - Rahul Goel, Rajesh Sharma:
Mobility Based SIR Model For Pandemics - With Case Study Of COVID-19. - Nima Anari, Thuy-Duong Vuong:
An Extension of Plücker Relations with Applications to Subdeterminant Maximization. - Xiu Ye, Shangyou Zhang:
A new weak gradient for the stabilizer free weak Galerkin method with polynomial reduction. - Mahdi Bohlouli, Frank Schulz, Lefteris Angelis, David Pahor, Ivona Brandic, David Atlan, Rosemary Tate:
Towards an Integrated Platform for Big Data Analysis. - Hufei Zhu:
Efficient Inverse-Free Incremental and Decremental Algorithms for Multiple Hidden Nodes in Extreme Learning Machine. - Sangkug Lym, Mattan Erez:
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training. - Kritik Soman:
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP. - Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. - Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
A Novel Attention-based Aggregation Function to Combine Vision and Language. - Phat Nguyen, Arnav Kansal, Abhishek Taur, Mohamed Zahran, Abdullah Muzahid:
FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency. - Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen:
A generic and efficient convolutional neural network accelerator using HLS for a system on chip design. - Julian Pegoraro, Roman P. Pflugfelder:
The Problem of Fragmented Occlusion in Object Detection. - Assem Sadek, Boris Chidlovskii:
Self-Supervised Attention Learning for Depth and Ego-motion Estimation. - Iyiola E. Olatunji, Xin Li, Wai Lam:
Context-aware Helpfulness Prediction for Online Product Reviews. - Matthew Leon:
The Dark Side of Unikernels for Machine Learning. - Mona Ghassemian, Max Smith-Creasey, Maziar M. Nekovee:
Secure Non-public Health Enterprise Networks. - Andrzej Lingas, Mia Persson:
Computing the Boolean product of two n\times n Boolean matrices using O(n^2) mechanical operation. - Dimitri Breda, Francesco Florian, Jordi Ripoll, Rossana Vermiglio:
Efficient numerical computation of the basic reproduction number for structured populations. - Tobias Kluth, Christine Bathke, Ming Jiang, Peter Maass:
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging. - Pratyush Kumar, Muktabh Mayank Srivastava:
Compact retail shelf segmentation for mobile deployment. - Thomas Jerkovits, Onur Günlü, Vladimir Sidorenko, Gerhard Kramer:
Nested Tailbiting Convolutional Codes for Secrecy, Privacy, and Storage. - Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. - Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella:
Learning to Rank in the Position Based Model with Bandit Feedback. - Andreea-Elena Panait, Ruxandra F. Olimid, Alin Stefanescu:
Identity Management on Blockchain - Privacy and Security Aspects. - Kaushlendra Pandey, Abhishek K. Gupta:
Coverage Improvement of Wireless Sensor Networks via Spatial Profile Information. - Peeyush Gupta, Yin Li, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Sumaya Almanee:
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data - Full Version. - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Conversational Question Answering over Passages by Leveraging Word Proximity Networks. - Amir Javadpour, Samira Rezaei, Kuan-Ching Li, Guojun Wang:
A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm. - Yous van Halder, Benjamin Sanderse, Barry Koren:
Multi-level neural networks for PDEs with uncertain parameters. - Ece Çigdem Mutlu, Ivan Garibay:
Effects of Assortativity on Consensus Formation with Heterogeneous Agents. - Wanlu Lei, Yu Ye, Ming Xiao:
Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks. - Ahmad Hussein Ababneh, Joan Lu, Qiang Xu:
The Effect of the Multi-Layer Text Summarization Model on the Efficiency and Relevancy of the Vector Space-based Information Retrieval. - Alexander Haberl, Dirk Praetorius, Stefan Schimanko, Martin Vohralík:
Convergence and quasi-optimal cost of adaptive algorithms for nonlinear operators including iterative linearization and algebraic solver. - Jinghui Lu, Brian MacNamee:
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets. - Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu:
A Generic Network Compression Framework for Sequential Recommender Systems. - Ece Çigdem Mutlu, Toktam A. Oghaz, Ege Tütüncüler, Jasser Jasser, Ivan Garibay:
Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. - Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen:
Machine Learning Based Mobile Network Throughput Classification. - Zhe Zhang, Chung-Wei Hang, Munindar P. Singh:
Would You Like Sashimi Even If It's Sliced Too Thin? Selective Neural Attention for Aspect Targeted Sentiment Analysis (SNAT). - Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso:
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. - Brandon Fain, William Fan, Kamesh Munagala:
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice. - Victor Reijgwart, Alexander Millane, Helen Oleynikova, Roland Siegwart, Cesar Cadena, Juan I. Nieto:
Voxgraph: Globally Consistent, Volumetric Mapping using Signed Distance Function Submaps. - Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. - Richard Klavans, Kevin W. Boyack, Dewey A. Murdick:
A Novel Approach to Predicting Exceptional Growth in Research. - Jie Yang, Chin-Teng Lin:
Clustering via torque balance with mass and distance. - Gözde Gül Sahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych:
PuzzLing Machines: A Challenge on Learning From Small Data. - Patrick Esser, Robin Rombach, Björn Ommer:
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. - Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives:
Energy-based models for atomic-resolution protein conformations. - Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang:
Simultaneous Translation Policies: From Fixed to Adaptive. - Noah Rhodes, David M. Fobes, Carleton Coffrin, Line Roald:
PowerModelsRestoration.jl: An Open-Source Framework for Exploring Power Network Restoration Algorithms. - Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan:
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks. - Daniel Collins, Rachid Guerraoui, Jovan Komatovic, Matteo Monti, Athanasios Xygkis, Matej Pavlovic, Petr Kuznetsov, Yvonne-Anne Pignolet, Dragos-Adrian Seredinschi, Andrei Tonkikh:
Online Payments by Merely Broadcasting Messages (Extended Version). - Jiangpeng He, Zeman Shao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation. - Nathan O. Lambert, Farhan Toddywala, Brian Liao, Eric Zhu, Lydia Lee, Kristofer S. J. Pister:
Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification. - Naomi Saphra, Adam Lopez:
Word Interdependence Exposes How LSTMs Compose Representations. - Michael A. Bender, Mayank Goswami, Dzejla Medjedovic, Pablo Montes, Kostas Tsichlas:
Batched Predecessor and Sorting with Size-Priced Information in External Memory. - Giannis Moutsinas, Mengbang Zou, Weisi Guo:
Uncertainty of Resilience in Complex Networks with Nonlinear Dynamics. - Chennakesava Kadapa, Mokarram Hossain:
A linearised consistent mixed displacement-pressure formulation for hyperelasticity. - Diego Ihara Centurion, Bohan Fan, Francesco Sgherzi, Anastasios Sidiropoulos:
Learning Lines with Ordinal Constraints. - Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud'hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah R. Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S. Sharma, Patrick Littell:
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization. - Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang, Hui Huang:
Graph2Plan: Learning Floorplan Generation from Layout Graphs. - Rafael-Michael Karampatsis, Charles Sutton:
SCELMo: Source Code Embeddings from Language Models. - Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, Stephen Gould:
Inferring Temporal Compositions of Actions Using Probabilistic Automata. - Duong Tung Nguyen, Hieu Trung Nguyen, Ni Trieu, Vijay K. Bhargava:
Two-Stage Robust Edge Service Placement and Sizing under Demand Uncertainty. - Elissa M. Redmiles:
User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing. - Kyubyong Park:
KoParadigm: A Korean Conjugation Paradigm Generator. - David Lee:
Petrov-Galerkin flux upwinding for mixed mimetic spectral elements, and its application to vorticity stabilisation in shallow water. - Zonghe Chua, Anthony M. Jarc, Sherry Wren, Ilana Nisky, Allison M. Okamura:
Task Dynamics of Prior Training Influence Visual Force Estimation Ability During Teleoperation of a Minimally Invasive Surgical Robot. - Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi:
Out-of-Sample Representation Learning for Multi-Relational Graphs. - Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes:
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. - Leopoldo E. Bertossi:
An ASP-Based Approach to Counterfactual Explanations for Classification. - Ralph Holz, Diego Perino, Matteo Varvello, Johanna Amann, Andrea Continella, Nate Evans, Ilias Leontiadis, Christopher Natoli, Quirin Scheitle:
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. - M. Saiful Bari, Muhammad Tasnim Mohiuddin, Shafiq R. Joty:
MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP. - Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. - Slimane Adjerid, Ivo Babuska, Ruchi Guo, Tao Lin:
An Enriched Immersed Finite Element Method for Interface Problems with Nonhomogeneous Jump Conditions. - Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen Hoang Tran, Lina Yao, Nguyen Lu Dang Khoa:
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. - Venkatesan Guruswami, Ray Li, Jonathan Mosheiff, Nicolas Resch, Shashwat Silas, Mary Wootters:
Bounds for list-decoding and list-recovery of random linear codes. - Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng:
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. - Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu:
Conversational Word Embedding for Retrieval-Based Dialog System. - Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha, Yehia Massoud:
A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting. - Martin Skrodzki:
How the deprecation of Java applets affected online visualization frameworks - a case study. - Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen:
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Parameter Estimation in a Noisy 1D Environment via Two Absorbing Receivers. - Matheesha Fernando, Nalin Asanka Gamagedara Arachchilage:
Why Johnny can't rely on anti-phishing educational interventions to protect himself against contemporary phishing attacks? - Alex Habeen Chang, Benjamin M. Case:
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks. - Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. - Zhaohe Liao:
Trainable Activation Function Supported CNN in Image Classification. - Prasanta Bhattacharya, Raj Kumar Gupta, Yinping Yang:
The Contextual Dynamics of Multimodal Emotion Recognition in Videos. - Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki, Emilio Ferrara:
Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach. - Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. - William G. La Cava, Jason H. Moore:
Genetic programming approaches to learning fair classifiers. - Marc Bouissou, Shahid Khan, Joost-Pieter Katoen, Pavel Krcál:
Various Ways to Quantify BDMPs. 1-14 - Hugues Evrard:
Modeling the Raft Distributed Consensus Protocol in LNT. 15-39 - Ryan Barry, Rob van Glabbeek, Peter Höfner:
Formalising the Optimised Link State Routing Protocol. 40-71 - Jack Drury, Peter Höfner, Weiyou Wang:
Formal Models of the OSPF Routing Protocol. 72-120 - Clemens Dubslaff, Andrey Morozov, Christel Baier, Klaus Janschek:
Iterative Variable Reordering: Taming Huge System Families. 121-133 - Max J. Friese, Dirk Nowotka:
Estimating End-to-End Latencies in Automotive Cyber-physical Systems. 134-148 - Radu Mateescu, Wendelin Serwe, Aymane Bouzafour, Marc Renaudin:
Modeling an Asynchronous Circuit Dedicated to the Protection Against Physical Attacks. 200-239 - Simon József Nagy, Bence Graics, Kristóf Marussy, András Vörös:
Simulation-based Safety Assessment of High-level Reliability Models. 240-260 - Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel:
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. - Antje Rogalla, Sascha Lehmann, Maximilian Neidhardt, Johanna Sprenger, Marcel Bengs, Alexander Schlaefer, Sibylle Schupp:
Synthesizing Strategies for Needle Steering in Gelatin Phantoms. 261-274 - Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. - Menglei Chai, Jian Ren, Sergey Tulyakov:
Neural Hair Rendering. - Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska:
Learned Garbage Collection. - Deepanshu Kush, Benjamin Rossman:
Tree-depth and the Formula Complexity of Subgraph Isomorphism. - Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong:
Heterogeneous Representation Learning: A Review. - Katharina Kann, Samuel R. Bowman, Kyunghyun Cho:
Learning to Learn Morphological Inflection for Resource-Poor Languages. - Katharina Kann, Ophélie Lacroix, Anders Søgaard:
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages. - Liang Ding, Longyue Wang, Dacheng Tao:
Self-Attention with Cross-Lingual Position Representation. - Kiran Gopinathan, Ilya Sergey:
Certifying Certainty and Uncertainty in Approximate Membership Query Structures - Extended Version. - Luyu Gao, Zhuyun Dai, Jamie Callan:
EARL: Speedup Transformer-based Rankers with Pre-computed Representation. - Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. - Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo:
Let's be Humorous: Knowledge Enhanced Humor Generation. - Jiangbin Lyu, Rui Zhang:
Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis. - Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management. - Ismail Bilgen, Goktug Guvercin, Islem Rekik:
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks. - Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely:
Learning Feature Descriptors using Camera Pose Supervision. - Manish Shukla, Rajan M. A, Sachin Lodha, Gautam Shroff, Ramesh Raskar:
Privacy Guidelines for Contact Tracing Applications. - Byungik Ahn:
Implementation of a 12-Million Hodgkin-Huxley Neuron Network on a Single Chip. - Alam Zaib, Tarig Ballal, Shahid Khattak, Tareq Y. Al-Naffouri:
A Doubly Regularized Linear Discriminant Analysis Classifier with Automatic Parameter Selection. - Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake A. Hechtman, Shibo Wang:
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training. - Shuailiang Zhang, Hai Zhao, Junru Zhou:
Semantics-Aware Inferential Network for Natural Language Understanding. - Fadi Philo:
On the stability of time-discrete dynamic multiple network poroelasticity systems arising from second-order implicit time-stepping schemes. - Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou:
Scheduled DropHead: A Regularization Method for Transformer Models. - Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He:
Robust Generative Adversarial Network. - Morgan Görtz, Gustav Kettil, Axel Målqvist, Andreas Mark, Fredrik Edelvik:
A numerical multiscale method for fiber networks. - Jinwoo Ahn, Seungjin Lee, Jinhoon Lee, Yungwoo Ko, Donghyun Min, Junghee Lee, Youngjae Kim:
SGX-SSD: A Policy-based Versioning SSD with Intel SGX. - Gaël Bringout, Wolfgang Erb, Jürgen Frikel:
A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction. - Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu:
Transferable Active Grasping and Real Embodied Dataset. - Cihan Emre Kement, Marija Ilic:
Real and Reactive Power Based Optimal Privacy Protection in Smart Grid Demand Response. - Martin Haug, Paavo Camps, Tobias Umland, Jan-Niklas Voigt-Antons:
Assessing differences in flow state induced by an adaptive music learning software. - Cihan Emre Kement, Bülent Tavli, Hakan Gultekin, Halim Yanikomeroglu:
Holistic Privacy for Electricity, Water, and Natural Gas Metering in Next Generation Smart Homes. - Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. - Yang Li, Xuanqin Mou:
SSIM-Based CTU-Level Joint Optimal Bit Allocation and Rate Distortion Optimization. - P. J. W. Koelewijn, G. Sales Mazzoccante, Roland Tóth, Siep Weiland:
Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems. - Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge:
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. - Maximilian Höb, Dieter Kranzlmüller:
Enabling EASEY deployment of containerized applications for future HPC systems. - Qingqing Zhang, Xiaojun Shi, Qingwen Liu, Jun Wu, Pengfei Xia, Yong Liao:
Adaptive Distributed Laser Charging for Efficient Wireless Power Transfer. - Niloofar Okati, Taneli Riihonen, Dani Korpi, Ilari Angervuori, Risto Wichman:
Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry. - Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Revisiting Multi-Task Learning in the Deep Learning Era. - Bogdan Bocse, Ioan Radu Jinga:
The Immersion of Directed Multi-graphs in Embedding Fields. Generalisations. - Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang:
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion. - Garance Gourdel, Tomasz Kociumaka, Jakub Radoszewski, Tatiana Starikovskaya:
Approximating longest common substring with $k$ mismatches: Theory and practice. - Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell:
Meta-Learning for Few-Shot Land Cover Classification. - Hadi Hosseini, Ayumi Igarashi, Andrew Searns:
Fair Division of Time: Multi-layered Cake Cutting. - Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei:
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. - Andreas Penzkofer, Bartosz Kusmierz, Angelo Capossele, William Sanders, Olivia Saa:
Parasite Chain Detection in the IOTA Protocol. - Vittorio Mazzia, Francesco Salvetti, Aleem Khaliq, Marcello Chiaberge:
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application. - Emirhan Gürpinar, Andrei E. Romashchenko:
Communication Complexity of the Secret Key Agreement in Algorithmic Information Theory. - Bhasker Sri Harsha Suri, Kalidas Yeturu:
Pseudo Rehearsal using non photo-realistic images. - Kerui Li, Siew-Chong Tan, Ron Shu-Yuen Hui:
On Beat Frequency Oscillation of Two-Stage Wireless Power Receivers. - Timo Betcke, Erik Burman, Matthew W. Scroggs:
Boundary element methods for Helmholtz problems with weakly imposed boundary conditions. - Emanuel Florentin Olariu, Cristian Frasinaru, Albert Abel Policiuc:
A Branch and Bound Algorithm for Coalition Structure Generation over Graphs. - Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun:
Angle-based Search Space Shrinking for Neural Architecture Search. - Wenliang Dai, Tiezheng Yu, Zihan Liu, Pascale Fung:
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection. - Maher Alharby, Aad van Moorsel:
BlockSim: An Extensible Simulation Tool for Blockchain Systems. - Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann:
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. - Andreas Galanis, Leslie Ann Goldberg, James Stewart:
Fast algorithms for general spin systems on bipartite expanders. - Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction. - Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
An Effective Transition-based Model for Discontinuous NER. - Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir:
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification. - Nicola Melluso, Silvia Fareri, Gualtiero Fantoni, Andrea Bonaccorsi, Filippo Chiarello, Elena Coli, Vito Giordano, Pietro Manfredi, Shahin Manafi:
Lights and shadows of COVID-19, Technology and Industry 4.0. - Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. - Erik Gengel, Arkady Pikovsky:
Phase reconstruction with iterated Hilbert transforms. - Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang:
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. - Dávid Csercsik:
Introduction of flexible production bids and combined package-price bids in a framework of integrated power-reserve market coupling. - Sergio Martín-Martínez, Antonio Vigueras-Rodríguez, Emilio Gómez-Lázaro, Ángel Molina-García, Eduard Muljadi, M. Milligan:
Wind Power Variability and Singular Events (Chapter 12. Wind Power). - Peng Fu, Kohei Kishida, Peter Selinger:
Linear Dependent Type Theory for Quantum Programming Languages. - Cristóbal A. Navarro, Felipe A. Quezada, Nancy Hitschfeld, Raimundo Vega, Benjamin Bustos:
Efficient GPU Thread Mapping on Embedded 2D Fractals. - Pavel Surynek:
Pushing the Envelope: From Discrete to Continuous Movements in Multi-Agent Path Finding via Lazy Encodings. - Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi, Anton A. Stoorvogel:
Scale-free Linear Observer-based Protocol Design for Global Regulated State Synchronization of Homogeneous Multi-agent Systems with Non-introspective Agents Subject to Input Saturation. - Bhawani Selvaretnam, Mohammed Belkhatir:
A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting. - Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado, Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Felipe Meneguzzi:
HAPRec: Hybrid Activity and Plan Recognizer. - Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. - Till Fluschnik, Hendrik Molter, Rolf Niedermeier, Malte Renken, Philipp Zschoche:
As Time Goes By: Reflections on Treewidth for Temporal Graphs. - Ana Nunes Alonso, João Abreu, David Nunes, André Vieira, Luiz Santos, Tércio Soares, José Pereira:
Towards a Polyglot Data Access Layer for a Low-Code Application Development Platform. - Tim Kuipers, Eugeni L. Doubrovski, Jun Wu, Charlie C. L. Wang:
A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling. - Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle:
Small-Task Incremental Learning. - Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler:
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics. - Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Identity Enhanced Residual Image Denoising. - Saeed Anwar, Nick Barnes, Lars Petersson:
Attention Prior for Real Image Restoration. - Leticia Decker, Daniel F. Leite, Luca Giommi, Daniele Bonacorsi:
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach. - Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo Coelho Barros:
Augmented Behavioral Cloning from Observation. - Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi:
Introducing a framework to assess newly created questions with Natural Language Processing. - Richard C. Gerum, Achim Schilling:
Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning. - Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Explicitly Modeling Adaptive Depths for Transformer. - Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff:
Multivariate Confidence Calibration for Object Detection. - (Withdrawn) A new effective and efficient measure for outlying aspect mining.
- Thomas Favale, Francesca Soro, Martino Trevisan, Idilio Drago, Marco Mellia:
Campus Traffic and e-Learning during COVID-19 Pandemic. - Ewan Fong, Sadik L. Omairey, Peter D. Dunning:
Design of multifunctional metamaterials using optimization. - Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao:
Unbiased Learning to Rank: Online or Offline? - Zhongyi Han, Benzheng Wei, Yilong Yin, Shuo Li:
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation. - Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu:
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. - Stéphan Tulkens, Andreas van Cranenburgh:
Embarrassingly Simple Unsupervised Aspect Extraction. - Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan:
Do We Need Fully Connected Output Layers in Convolutional Networks? - Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. - Shan Yang, Yuxuan Wang, Lei Xie:
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise. - Amit Chaulwar:
Private Dataset Generation Using Privacy Preserving Collaborative Learning. - Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová:
Recognizing Single-Peaked Preferences on an Arbitrary Graph: Complexity and Algorithms. - Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. - Namkyoung Lee, Michael H. Azarian, Michael G. Pecht:
An Explainable Deep Learning-based Prognostic Model for Rotating Machinery. - Jonathan P. Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil:
Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions. - Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. - Petros S. Bithas, Viktor Nikolaidis, Athanasios G. Kanatas, George K. Karagiannidis:
UAV-to-Ground Communications: Channel Modeling and UAV Selection. - Hengshuang Zhao, Jiaya Jia, Vladlen Koltun:
Exploring Self-attention for Image Recognition. - Xinya Du, Claire Cardie:
Event Extraction by Answering (Almost) Natural Questions. - Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen:
Data Augmentation Imbalance For Imbalanced Attribute Classification. - Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks. - Jie Zhou, Xin Lv, Cheng Yang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. - Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric Michael Smith, Y-Lan Boureau, Jason Weston:
Recipes for building an open-domain chatbot. - Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao:
Joint Keyphrase Chunking and Salience Ranking with BERT. - Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. - Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael J. Cafarella, Jacob Andreas:
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data. - Ilya Kostrikov, Denis Yarats, Rob Fergus:
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. - Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis:
Fast and Memory-Efficient Neural Code Completion. - Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang:
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset. - Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg:
Pitfalls of learning a reward function online. - Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling:
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task. - Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. - Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. - Leonardo Rossi, Akbar Karimi, Andrea Prati:
A novel Region of Interest Extraction Layer for Instance Segmentation. - Pierre Marcus, Ilkka Törmä:
Descriptional Complexity of Winning Sets of Regular Languages. - Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer:
Active Learning for Coreference Resolution using Discrete Annotation. - Shiri Chechik, Ofer Magen:
Near Optimal Algorithm for the Directed Single Source Replacement Paths Problem. - Leandro C. de Almeida, Paulo Ditarso Maciel Jr., Fábio L. Verdi:
Cloud Network Slicing: A systematic mapping study from scientific publications. - Sarah Spiekermann, Till Winkler:
Value-based Engineering for Ethics by Design. - Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper:
Style-transfer GANs for bridging the domain gap in synthetic pose estimator training. - Shaan Desai, Stephen Roberts:
VIGN: Variational Integrator Graph Networks. - Christof Löding, Anton Pirogov:
Ambiguity, Weakness, and Regularity in Probabilistic Büchi Automata. - Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek:
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. - Russa Biswas, Radina Sofronova, Mehwish Alam, Harald Sack:
Entity Type Prediction in Knowledge Graphs using Embeddings. - Adam Tsakalidis, Maria Liakata:
Autoencoding Word Representations through Time for Semantic Change Detection. - Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin:
Showing Your Work Doesn't Always Work. - Saurav Maji, Utsav Banerjee, Samuel H. Fuller, Mohamed R. Abdelhamid, Phillip M. Nadeau, Rabia Tugce Yazicigil, Anantha P. Chandrakasan:
A Low-Power Dual-Factor Authentication Unit for Secure Implantable Devices. - Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel:
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. - Min Zhu, David G. M. Mitchell, Michael Lentmaier, Daniel J. Costello Jr., Baoming Bai:
Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes. - Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena:
On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization. - Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi:
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. - Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
Informational Space of Meaning for Scientific Texts. - Sitan Chen, Raghu Meka:
Learning Polynomials of Few Relevant Dimensions. - Monica Babes-Vroman, Thu D. Nguyen:
Gender Diversity in Computer Science at a Large Research University. - Michela Paganini, Jessica Zosa Forde:
Streamlining Tensor and Network Pruning in PyTorch. - Muhammad Saad Saeed, Shah Nawaz, Pietro Morerio, Arif Mahmood, Ignazio Gallo, Muhammad Haroon Yousaf, Alessio Del Bue:
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective. - Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong:
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. - Shadi Shahsavari, Pavan Holur, Timothy R. Tangherlini, Vwani P. Roychowdhury:
Conspiracy in the Time of Corona: Automatic detection of Covid-19 Conspiracy Theories in Social Media and the News. - Shanchan Wu, Kai Fan:
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss. - Raphaël Berthon, Shibashis Guha, Jean-François Raskin:
Mixing Probabilistic and non-Probabilistic Objectives in Markov Decision Processes. - Daniele Cattaneo, Domenico Giorgio Sorrenti, Abhinav Valada:
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps. - Qingyang Wu, Lei Li, Zhou Yu:
TextGAIL: Generative Adversarial Imitation Learning for Text Generation. - Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner:
Minority Reports Defense: Defending Against Adversarial Patches. - Taeuk Kim, Sang-goo Lee:
Multilingual Zero-shot Constituency Parsing. - Shuai Feng, Hideaki Ishii:
Dynamic Quantized Consensus of General Linear Multi-agent Systems under Denial-of-Service Attacks. - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. - Chunmei Wang, Junping Wang, Xiu Ye, Shangyou Zhang:
De Rham Complexes for Weak Galerkin Finite Element Spaces. - Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu:
A Survey of Document Grounded Dialogue Systems (DGDS). - Himanshu Choudhary, Shivansh Rao, Rajesh Rohilla:
Neural Machine Translation for Low-Resourced Indian Languages. - Dhivya Chandrasekaran, Vijay Mago:
Evolution of Semantic Similarity - A Survey. - (Withdrawn) Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network.
- Simon Vandenhende, Thierry Deruyttere, Dusan Grujicic:
A Baseline for the Commands For Autonomous Vehicles Challenge. - Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud:
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting. - Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. - Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng:
Scalable Attack on Graph Data by Injecting Vicious Nodes. - Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang:
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. - Prabhakar Gupta, Anil Nelakanti:
DeepSubQE: Quality estimation for subtitle translations. - Makoto Nakatsuji, Sohei Okui:
Answer Generation through Unified Memories over Multiple Passages. - Aiqing Zhu, Pengzhan Jin, Yifa Tang:
Deep Hamiltonian networks based on symplectic integrators. - Vid Kocijan, Thomas Lukasiewicz, Ernest Davis, Gary Marcus, Leora Morgenstern:
A Review of Winograd Schema Challenge Datasets and Approaches. - Luca Manzoni, Domagoj Jakobovic, Luca Mariot, Stjepan Picek, Mauro Castelli:
Towards an evolutionary-based approach for natural language processing. - Jing Gu, Zhou Yu:
Data Annealing for Informal Language Understanding Tasks. - Jing Gu, Qingyang Wu, Chongruo Wu, Weiyan Shi, Zhou Yu:
A Tailored Pre-Training Model for Task-Oriented Dialog Generation. - Heerok Banerjee, V. Ganapathy, V. M. Shenbagaraman:
Uncertainty Modelling in Risk-averse Supply Chain Systems Using Multi-objective Pareto Optimization. - Pourya Vakilipourtakalou, Lili Mou:
How Chaotic Are Recurrent Neural Networks? - Louis Falissard, Claire Morgand, Sylvie Roussel, Claire Imbaud, Walid Ghosn, Karim Bounebache, Grégoire Rey:
Neural translation and automated recognition of ICD10 medical entities from natural language. - Alla Lo, Cheikh M. Bamba Dione, Elhadji Mamadou Nguer, Sileye O. Ba, Moussa Lo:
Using LSTM to Translate French to Senegalese Local Languages: Wolof as a Case Study. - Michael Franklin Mbouopda, Paulin Melatagia Yonta, Guy Stephane B. Fedim Lombo:
Neurals Networks for Projecting Named Entities from English to Ewondo. - Vukosi Marivate, Tshephisho Sefara, Vongani Chabalala, Keamogetswe Makhaya, Tumisho B. Mokgonyane, Rethabile Mokoena, Abiodun Modupe:
Low resource language dataset creation, curation and classification: Setswana and Sepedi - Extended Abstract. - Ram G. Athreya, Srividya Kona Bansal, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck:
Template-based Question Answering using Recursive Neural Networks. - Xin Liu, Qingcai Chen, Yan Liu, Baotian Hu, Joanna Siebert, Xiangping Wu, Buzhou Tang:
Decomposing Word Embedding with the Capsule Network. - Yannis Papanikolaou, Andrea Pierleoni:
DARE: Data Augmented Relation Extraction with GPT-2. - Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo:
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis. - Adly Templeton:
Inherently Interpretable Sparse Word Embeddings through Sparse Coding. - Honglei Liu, Yan Xu, Zhiqiang Zhang, Ni Wang, Yanqun Huang, Zhenghan Yang, Rui Jiang, Hui Chen:
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis. - Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Boosting Deep Open World Recognition by Clustering. - Lukas Stappen, Fabian Brunn, Björn W. Schuller:
Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL. - Siqi Liu:
Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and Models. - Giannis Karamanolakis, Jun Ma, Xin Luna Dong:
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. - I. Gede Mahendra Darmawiguna, Gede Aditra Pradnyana, I Gede Partha Sindu, I Putu Prayoga Susila Karimawan, Ni Kadek Risa Ariani Dwiasri:
Bali Temple VR: The Virtual Reality based Application for the Digitalization of Balinese Temples. - Vinícius Ribeiro, Sandra Avila, Eduardo Valle:
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation. - Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines. - Cagatay Basdogan, Frédéric Giraud, Vincent Lévesque, Seungmoon Choi:
A Review of Surface Haptics: Enabling Tactile Effects on Touch Surfaces. - (Withdrawn) Ethnic Diversity in Computer Science at a Large Public R1 Research University.
- Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali:
Deflating Dataset Bias Using Synthetic Data Augmentation. - Orestis Kaparounakis, Vasileios Tsoutsouras, Dimitrios Soudris, Phillip Stanley-Marbell:
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation. - Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, SaiDhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maëlick Claes, Teemu Karvonen, Mingzhe Chen, Maksym A. Girnyk, Hassan Malik:
6G White Paper on Machine Learning in Wireless Communication Networks. - Marcos V. Treviso, André F. T. Martins:
Towards Prediction Explainability through Sparse Communication. - Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Analyzing Political Parody in Social Media. - Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing. - Moulay A. Akhloufi, Nicolas A. Castro, Andy Couturier:
Unmanned Aerial Systems for Wildland and Forest Fires: Sensing, Perception, Cooperation and Assistance. - Bradley Hauer, Grzegorz Kondrak:
Synonymy = Translational Equivalence. - Roman Frolov, Peter D. Minev, Aziz Takhirov:
An efficient algorithm for weakly compressible flows in spherical geometries. - Andrew Vardy, Dalia S. Ibrahim:
A Swarm of Simple Robots Constructing Planar Shapes. - Tasnim Mohiuddin, M. Saiful Bari, Shafiq R. Joty:
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space. - Ajay Kumar Shrestha, Sandhya Joshi, Julita Vassileva:
Customer Data Sharing Platform: A Blockchain-Based Shopping Cart. - Janardhan Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye:
Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints. - Fabian Bolte, Stefan Bruckner:
Organic Narrative Charts. - Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. - Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte:
Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra. - Daniel Chin, Yian Zhang, Tianyu Zhang, Jake Zhao, Gus Xia:
Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System. - Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton:
Neural Additive Models: Interpretable Machine Learning with Neural Nets. - Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu:
Revisiting Pre-Trained Models for Chinese Natural Language Processing. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled B. Letaief:
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling. - Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. - Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Span-based Localizing Network for Natural Language Video Localization. - Md Yasin Kabir, Sanjay Madria:
CoronaVis: A Real-time COVID-19 Tweets Analyzer. - Chinmay Sonar, Palash Dey, Neeldhara Misra:
On the complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules. - Marcella Scoczynski Ribeiro Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Lüders:
Multi-layer local optima networks for the analysis of advanced local search-based algorithms. - Jihyung Moon, Hyunchang Cho, Eunjeong L. Park:
Revisiting Round-Trip Translation for Quality Estimation. - Oguz Yayla:
Families of sequences with good family complexity and cross-correlation measure. - Sophie Groenwold, Samhita Honnavalli, Lily Ou, Aesha Parekh, Sharon Levy, Diba Mirza, William Yang Wang:
Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification. - Parameswaran Raman, S. V. N. Vishwanathan:
DS-FACTO: Doubly Separable Factorization Machines. - Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh:
Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing. - Yian Li, Hai Zhao:
Learning Better Universal Representations from Pre-trained Contextualized Language Models. - Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Models. - Xiao Zhang, Dongrui Wu:
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs. - Oleg V. Vasilyev, Kathryn Evans, Anna Venancio-Marques, John Bohannon:
Zero-shot topic generation. - Mohammadhossein Toutiaee, Abbas Keshavarzi, Abolfazl Farahani, John A. Miller:
Video Contents Understanding using Deep Neural Networks. - Xuhao Diao, Jun Hu, Suna Ma:
Preconditioned Legendre spectral Galerkin methods for the non-separable elliptic equation. - Vikram Waradpande, Daniel Kudenko, Megha Khosla:
Deep Reinforcement Learning with Graph-based State Representations. - Luyu Gao, Zhuyun Dai, Zhen Fan, Jamie Callan:
Complementing Lexical Retrieval with Semantic Residual Embedding. - Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim:
Directed Graph Convolutional Network. - Jaspreet Singh, Megha Khosla, Avishek Anand:
Valid Explanations for Learning to Rank Models. - Enyu Cai, Sriram Baireddy, Changye Yang, Melba M. Crawford, Edward J. Delp:
Deep Transfer Learning For Plant Center Localization. - Lutz Bornmann, Robin Haunschild, Vanash M. Patel:
Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors. - Jinzhi Huang, Zhongxiao Jia:
A cross-product free Jacobi-Davidson type method for computing a partial generalized singular value decomposition (GSVD) of a large matrix pair. - Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Effective Human Activity Recognition Based on Small Datasets. - Yash Khanna, Anand Louis:
Planted Models for the Densest $k$-Subgraph Problem. - Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Skeleton Focused Human Activity Recognition in RGB Video. - Matthew Sims, David Bamman:
Measuring Information Propagation in Literary Social Networks. - André Schlichting, Christian Seis:
The Scharfetter-Gummel scheme for aggregation-diffusion equations. - Zhengyuan Liu, Ke Shi, Nancy F. Chen:
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization. - Jan Helmig, Fabian Key, Marek Behr, Stefanie Elgeti:
Combining Boundary-Conforming Finite Element Meshes on Moving Domains Using a Sliding Mesh Approach. - Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin:
Motion Guided 3D Pose Estimation from Videos. - Junlong Li, Zhuosheng Zhang, Hai Zhao:
Multi-choice Dialogue-Based Reading Comprehension with Knowledge and Key Turns. - Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian:
Retinal vessel segmentation by probing adaptive to lighting variations. - Jorge Peña Queralta, Li Qingqing, Tuan Nguyen Gia, Hong-Linh Truong, Tomi Westerlund:
End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms. - Peter Benner, Xin Liang:
Convergence Analysis of Extended LOBPCG for Computing Extreme Eigenvalues. - Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang:
Benchmarking Robustness of Machine Reading Comprehension Models. - Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Utterance Pair Scoring for Noisy Dialogue Data Filtering. - Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher:
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks. - Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud:
Versatile Black-Box Optimization. - Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Brighten Godfrey, Roy H. Campbell:
Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling. - Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo:
Multiscale Collaborative Deep Models for Neural Machine Translation. - Sungjin Park, Taesun Whang, Yeochan Yoon, Heuiseok Lim:
Multi-View Attention Networks for Visual Dialog. - Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick:
Extended Coopetitive Soft Gating Ensemble. - Ulrich Gallersdörfer, Florian Matthes:
AuthSC: Mind the Gap between Web and Smart Contracts. - Jens Schreiber, Bernhard Sick:
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. - Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen:
Single-Side Domain Generalization for Face Anti-Spoofing. - Wojciech Masarczyk, Ivona Tautkute:
Reducing catastrophic forgetting with learning on synthetic data. - Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. - Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. - Mika Hämäläinen, Linda Wiechetek:
Morphological Disambiguation of South Sámi with FSTs and Neural Networks. - Miroslaw Kowaluk, Andrzej Lingas:
Quantum and approximation algorithms for maximum witnesses of Boolean matrix products. - Hila Gonen, Kellie Webster:
Automatically Identifying Gender Issues in Machine Translation using Perturbations. - Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon, Chamath Palihawadana, Vanessa Mendham, Ehud Reiter, Kyle Martin:
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults. - Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. - Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing with Perceptual Constraints and STN Alignment. - Nitin Shivaraman, Saravanan Ramanathan, Shanker Shreejith, Arvind Easwaran, Sebastian Steinhorst:
DeCoRIC: Decentralized Connected Resilient IoT Clustering. - Alexandre Tamborrino, Nicola Pellicano, Baptiste Pannier, Pascal Voitot, Louise Naudin:
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning. - Kaouther Moussa, Mirko Fiacchini, Mazen Alamir:
Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo- and Immunotherapy. - Dan Jia, Alexander Hermans, Bastian Leibe:
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data. - Jun Quan, Deyi Xiong:
Modeling Long Context for Task-Oriented Dialogue State Generation. - Yuki Nishida, Atsushi Igarashi:
Compilation of Coordinated Choice. - Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. - David Lee:
An energetically balanced, quasi-Newton integrator for non-hydrostatic vertical atmospheric dynamics. - Aznam Yacoub:
Virtual Communication Stack: Towards Building Integrated Simulator of Mobile Ad Hoc Network-based Infrastructure for Disaster Response Scenarios. - Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre:
Do Neural Language Models Show Preferences for Syntactic Formalisms? - Saloua Bennani, Iliass Ait El Kouch, Mahmoud El Hamlaoui, Sophie Ebersold, Bernard Coulette, Mahmoud Nassar:
A Formalization of Group Decision Making in Multi-viewpoints Design. - José Pablo Lucero Lorca, Martin J. Gander:
Optimization of two-level methods for DG discretizations of reaction-diffusion equations. - Marek Karpinski, Mateusz Lewandowski, Syed Mohammad Meesum, Matthias Mnich:
Dense Steiner problems: Approximation algorithms and inapproximability. - Shah Fahad, Nasim Ullah, Ali Jafer Mahdi, Asier Ibeas, Arman Goudarzi:
An Advanced Two-Stage Grid Connected PV System: A Fractional-Order Controller. - Feixiang He, Yuanhang Xiang, Xi Zhao, He Wang:
Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance. - Jungsoo Park, Mujeen Sung, Jinhyuk Lee, Jaewoo Kang:
Adversarial Subword Regularization for Robust Neural Machine Translation. - Nathaniel Joseph Tye, James Timothy Meech, Bilgesu Arif Bilgin, Phillip Stanley-Marbell:
A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors. - Alessio La Bella, Pascal Klaus, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
Supervised MPC control of large-scale electricity networks via clustering methods. - Mario Giulianelli, Marco Del Tredici, Raquel Fernández:
Analysing Lexical Semantic Change with Contextualised Word Representations. - Zhuolin Jiang, Manaj Srivastava, Sanjay Krishna Gouda, David Akodes, Richard M. Schwartz:
Combining Word Embeddings and N-grams for Unsupervised Document Summarization. - António Góis, Kyunghyun Cho, André F. T. Martins:
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. - Evani Radiya-Dixit, Xin Wang:
How fine can fine-tuning be? Learning efficient language models. - Julián Moreno Schneider, Peter Bourgonje, Florian Kintzel, Georg Rehm:
A Workflow Manager for Complex NLP and Content Curation Pipelines. - Roshna Omer Abdulrahman, Hossein Hassani:
Using Punkt for Sentence Segmentation in non-Latin Scripts: Experiments on Kurdish (Sorani) Texts. - Khalid N. Elmadani, Mukhtar Elgezouli, Anas Showk:
BERT Fine-tuning For Arabic Text Summarization. - Mahdi Rezaei, Mahsa Shahidi:
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review. - Wendong He, Yizhen Shao, Pingjian Zhang:
Entity Candidate Network for Whole-Aware Named Entity Recognition. - Nurul Huda Mahmood, Stefan Böcker, Andrea Munari, Federico Clazzer, Ingrid Moerman, Konstantin Mikhaylov, Onel L. Alcaraz López, Ok-Sun Park, Eric Mercier, Hannes Bartz, Riku Jäntti, Ravikumar Pragada, Yihua Ma, Elina Annanperä, Christian Wietfeld, Martin Andraud, Gianluigi Liva, Yan Chen, Eduardo Garro, Frank Burkhardt, Hirley Alves, Chen-Feng Liu, Yalcin Sadi, Jean-Baptiste Dore, Eunah Kim, JaeSheung Shin, Gi Yoon Park, Seok-Ki Kim, Chanho Yoon, Khoirul Anwar, Pertti Seppänen:
White Paper on Critical and Massive Machine Type Communication Towards 6G. - Prerona Chatterjee, Mrinal Kumar, C. Ramya, Ramprasad Saptharishi, Anamay Tengse:
On the Existence of Algebraically Natural Proofs. - Mahfouth Alghamdi, Christoph Treude, Markus Wagner:
Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts. - Sehun Chun:
High-order covariant differentiation in applications to Helmholtz-Hodge decomposition on curved surfaces. - Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. - Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu:
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data. - Tript Sharma, Utkarsh Upadhyay, Ganesh Bagler:
Classification of Cuisines from Sequentially Structured Recipes. - Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi:
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. - Kuikui Li, Meixia Tao, Jingjing Zhang, Osvaldo Simeone:
Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication. - Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao:
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. - Sarath P, Soorya M, Shaik Abdul Rahman A, S. Suresh Kumar, K. Devaki:
Assessing Car Damage using Mask R-CNN. - John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. - Emeka Ogbuju, Moses Onyesolu:
Development of a General Purpose Sentiment Lexicon for Igbo Language. - Rahul U, Ragul M, Raja Vignesh K, Tejeswinee K:
Deepfake Video Forensics based on Transfer Learning. - Congliang Chen, Li Shen, Haozhi Huang, Wei Liu:
Quantized Adam with Error Feedback. - M. Ammar Ben Khadra, Dominik Stoffel, Wolfgang Kunz:
Efficient Binary-Level Coverage Analysis. - Valery Isaev:
Models of Homotopy Type Theory with an Interval Type. - Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Interpretable Multimodal Routing for Human Multimodal Language. - Sufeng Duan, Hai Zhao, Dongdong Zhang, Rui Wang:
Syntax-aware Data Augmentation for Neural Machine Translation. - Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. - Diego Klabjan, Xiaofeng Zhu:
Neural Network Retraining for Model Serving. - Lina Marsso:
Specifying a Cryptographical Protocol in Lustre and SCADE. 149-199 - Eyyüb Sari, Vahid Partovi Nia:
Batch Normalization in Quantized Networks. - Zihan Liu, Genta Indra Winata, Andrea Madotto, Pascale Fung:
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning. - Ali Javili, Soheil Firooz, Andrew T. McBride, Paul Steinmann:
The computational framework for continuum-kinematics-inspired peridynamics. - Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. - Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung:
Meta-Transfer Learning for Code-Switched Speech Recognition. - Günther Of, Raphael Watschinger:
Complexity Analysis of a Fast Directional Matrix-Vector Multiplication. - Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Fractional norms and quasinorms do not help to overcome the curse of dimensionality. - Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault:
Image Captioning through Image Transformer. - Lucia Donatelli, Jonas Groschwitz, Alexander Koller, Matthias Lindemann, Pia Weißenhorn:
Normalizing Compositional Structures Across Graphbanks. - Sascha Kurz:
Lifted codes and the multilevel construction for constant dimension codes. - Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran:
Towards Transparent and Explainable Attention Models. - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. - Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. - Lorenzo De Mattei, Michele Cafagna, Felice Dell'Orletta, Malvina Nissim, Marco Guerini:
GePpeTto Carves Italian into a Language Model. - Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang:
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. - Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. - Epaminondas Kapetanios, Vijayan Sugumaran, Anastassia Angelopoulou:
Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships. - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. - Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma:
Tensor train rank minimization with nonlocal self-similarity for tensor completion. - Gaurav Mittal, Ankik Kumar Giri:
A novel two-point gradient method for Regularization of inverse problems in Banach spaces. - Jindrich Libovický, Alexander Fraser:
Towards Character-Level Transformer NMT by Finetuning Subword Systems. - Nick Haber, Catalin Voss, Jena Daniels, Peter Washington, Azar Fazel, Aaron Kline, Titas De, Terry Winograd, Carl Feinstein, Dennis P. Wall:
A Wearable Social Interaction Aid for Children with Autism. - Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein:
SubjQA: A Dataset for Subjectivity and Review Comprehension. - Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov:
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. - Minghao Han, Lixian Zhang, Jun Wang, Wei Pan:
Actor-Critic Reinforcement Learning for Control with Stability Guarantee. - Shailesh Arya, Hrithik Mesariya, Vishal Parekh:
Smart Attendance System Usign CNN. - Jurek Leonhardt, Avishek Anand, Megha Khosla:
Boilerplate Removal using a Neural Sequence Labeling Model. - Shrey Desai, Cornelia Caragea, Junyi Jessy Li:
Detecting Perceived Emotions in Hurricane Disasters. - Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. - Chayma Fourati, Abir Messaoudi, Hatem Haddad:
TUNIZI: a Tunisian Arabizi sentiment analysis Dataset. - Allan Borodin, Calum MacRury, Akash Rakheja:
Bipartite Stochastic Matching: Online, Random Order, and I.I.D. Models. - Anu Jagannath, Jithin Jagannath, Andrew L. Drozd:
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. - Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. - Pierluca D'Oro, Wojciech Jaskowski:
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization. - Shabnam Behzad, Amir Zeldes:
A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging. - Gal Beniamini:
The Dual Polynomial of Bipartite Perfect Matching. - Feng Wang, Hong Xing, Jie Xu:
Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality. - Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control. - Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter:
Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports. - Daniel Loureiro, José Camacho-Collados:
Don't Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation. - Soo-Whan Chung, Hong-Goo Kang, Joon Son Chung:
Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision. - Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord:
UDapter: Language Adaptation for Truly Universal Dependency Parsing. - Alberto Martín-Martín, Mike Thelwall, Enrique Orduña-Malea, Emilio Delgado López-Cózar:
Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: a multidisciplinary comparison of coverage via citations. - João Pita Costa, Tihana Galinac Grbac:
A methodology to evaluate the evolution of networks using topological data analysis. - Peter Maynard, Kieran McLaughlin:
Towards Understanding Man-on-the-Side Attacks (MotS) in SCADA Networks. - Pravin Dangol, Alireza Ramezani, Nader Jalili:
Performance satisfaction in Harpy, a thruster-assisted bipedal robot. - Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut:
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. - Sidak Pal Singh, Dan Alistarh:
WoodFisher: Efficient second-order approximations for model compression. - Kaylee A. Bodner, Terry E. Goldberg, Davangere P. Devanand, P. Murali Doraiswamy:
Advancing computerized cognitive training for early Alzheimer's disease in a pandemic and post-pandemic world. - Weijia Xu, Batool Haider, Saab Mansour:
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU. - Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. - Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic:
AxCell: Automatic Extraction of Results from Machine Learning Papers. - Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. - Peter Maynard, Kieran McLaughlin:
Big Fish, Little Fish, Critical Infrastructure: An Analysis of Phineas Fisher and the 'Hacktivist' Threat to Critical Infrastructure. - Eugenio Alcalá, Olivier Sename, Vicenç Puig, Joseba Quevedo:
TS-MPC for Autonomous Vehicle using a Learning Approach. - Giulio Zhou, Gerasimos Lampouras:
Generating Safe Diversity in NLG via Imitation Learning. - James Thorne, Andreas Vlachos:
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation. - Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
VGGSound: A Large-scale Audio-Visual Dataset. - Mohammad Ghaljehei, Mojdeh Khorsand:
Representation of Uncertainty in Electric Energy Market Models: Pricing Implication and Formulation. - Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das:
ToTTo: A Controlled Table-To-Text Generation Dataset. - Zi Wang, Ben Liblit, Thomas W. Reps:
TOFU: Target-Orienter FUzzer. - Johannes Klaus Fichte, Norbert Manthey, Julian Stecklina, André Schidler:
Towards Faster Reasoners By Using Transparent Huge Pages. - Kairong Jiang, Matthew Berger, Joshua A. Levine:
Visualization of Unsteady Flow Using Heat Kernel Signatures. - Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Jun Zhai, Klaus David, Flora D. Salim:
Transfer Learning for Thermal Comfort Prediction in Multiple Cities. - Mohamed Abdelghany, Waqar Ahmad, Sofiène Tahar:
A Formally Verified HOL4 Algebra for Event Trees. - Adrian Iftene:
Exploiting Social Networks. Technological Trends (Habilitation Thesis). - Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow:
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks. - Boya Ouyang, Yuhai Li, Yu Song, Feishu Wu, Huizi Yu, Yongzhe Wang, Mathieu Bauchy, Gaurav Sant:
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning. - Christoph Hirche:
Rényi Bounds on Information Combining. - Ambarish Moharil, Nikhil Sonavane, Chirag Kedia, Mansimran Singh Anand:
To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy. - Frédéric Coquel, Claude Marmignon, Pratik Rai, Florent Renac:
An entropy stable high-order discontinuous Galerkin spectral element method for the Baer-Nunziato two-phase flow model. - Fatma Arslan, Naeemul Hassan, Chengkai Li, Mark Tremayne:
A Benchmark Dataset of Check-worthy Factual Claims. - Konstantin Avrachenkov, Vivek S. Borkar:
Whittle index based Q-learning for restless bandits with average reward. - Hikmet Yildiz, Netanel Raviv, Babak Hassibi:
Support Constrained Generator Matrices of Gabidulin Codes in Characteristic Zero. - Elvira Albert, Jesús Correas, Pablo Gordillo, Guillermo Román-Díez, Albert Rubio:
Analyzing Smart Contracts: From EVM to a sound Control-Flow Graph. - Saba Mahmood, Anwar Ghani, Ali Daud, Syed Muhammad Saqlain:
EER: Enterprise Expert Ranking using Employee Reputation. - Johny Moreira, Chaina Oliveira, David Macedo, Cleber Zanchettin, Luciano Barbosa:
Distantly-Supervised Neural Relation Extraction with Side Information using BERT. - John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. - Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? - Allen Nie, Reuben Cohn-Gordon, Christopher Potts:
Pragmatic Issue-Sensitive Image Captioning. - Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. - Florian Schäfer, Matthias Katzfuss, Houman Owhadi:
Sparse Cholesky factorization by Kullback-Leibler minimization. - Lingyu Meng, Zhijie Sasha Dong:
The Natural Hazards Twitter Dataset. - Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. - D. Schöllhammer, T. P. Fries:
A Higher-order Trace Finite Element Method for Shells. - Avi Steiner, Shlomo Shamai:
Broadcast Approach for the Information Bottleneck Channel. - Tianyu Li, Matthew Butrovich, Amadou Ngom, Wan Shen Lim, Wes McKinney, Andrew Pavlo:
Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats. - Thibaut Vidal, Rafael Martinelli, Tuan Anh Pham, Minh Hoàng Hà:
Arc Routing with Time-Dependent Travel Times and Paths. - Burkhard Hoppenstedt, Manfred Reichert, Ghada El-Khawaga, Klaus Kammerer, Karl-Michael Winter, Rüdiger Pryss:
Detecting Production Phases Based on Sensor Values using 1D-CNNs. - Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. - Eric L. Goodman, Chase Zimmerman, Corey Hudson:
Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data. - Congcong Ge, Yunjun Gao, Honghui Weng, Chong Zhang, Xiaoye Miao, Baihua Zheng:
KGClean: An Embedding Powered Knowledge Graph Cleaning Framework. - Jayaraman J. Thiagarajan, Prasanna Sattigeri, Deepta Rajan, Bindya Venkatesh:
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models. - Kai-Cheng Yang, Christopher Torres-Lugo, Filippo Menczer:
Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak. - Matthew Purri, Kristin J. Dana:
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images. - Ondrej Texler, David Futschik, Michal Kucera, Ondrej Jamriska, Sárka Sochorová, Menglei Chai, Sergey Tulyakov, Daniel Sýkora:
Interactive Video Stylization Using Few-Shot Patch-Based Training. - Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim:
Detecting Deep-Fake Videos from Appearance and Behavior. - Yuchen Liu, David Wentzlaff, Sun-Yuan Kung:
Rethinking Class-Discrimination Based CNN Channel Pruning. - Husheng Li:
Coordination and Communication of Autonomous Subsystems in Cyber Physical Systems: A Mechanism Learning Approach. - Na-Young Ahn, Jun Eun Park, Dong Hoon Lee, Paul C. Hong:
Balancing Personal Privacy and Public Safety in COVID-19: Case of Korea and France. - Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf:
Posterior Calibrated Training on Sentence Classification Tasks. - Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. - Ji Ma, Ivan Korotkov, Yinfei Yang, Keith B. Hall, Ryan T. McDonald:
Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation. - Ayshwarya Saktheeswaran, Arjun Srinivasan, John T. Stasko:
Touch? Speech? or Touch and Speech? Investigating Multimodal Interaction for Visual Network Exploration and Analysis. - Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. - Julian Michael, Jan A. Botha, Ian Tenney:
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. - Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui:
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. - Masaaki Nagata, Katsuki Chousa, Masaaki Nishino:
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT. - Katsuki Chousa, Masaaki Nagata, Masaaki Nishino:
Bilingual Text Extraction as Reading Comprehension. - Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter:
A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks. - Brian Thompson, Philipp Koehn:
Exploiting Sentence Order in Document Alignment. - Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn:
Simulated Multiple Reference Training Improves Low-Resource Machine Translation. - Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen:
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. - Alysson Bessani, Eduardo Alchieri, João Sousa, André Oliveira, Fernando Pedone:
From Byzantine Replication to Blockchain: Consensus is only the Beginning. - Peng Qi, Yuhao Zhang, Christopher D. Manning:
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. - Gayatri Bhat, Avneesh Saluja, Melody Dye, Jan Florjanczyk:
Hierarchical Encoders for Modeling and Interpreting Screenplays. - Michal Lukasik, Boris Dadachev, Gonçalo Simões, Kishore Papineni:
Text Segmentation by Cross Segment Attention. - Zihang Meng, Sathya N. Ravi, Vikas Singh:
Physarum Powered Differentiable Linear Programming Layers and Applications. - Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: A Single-Pass Learned Index. - Linyang Li, Xipeng Qiu:
TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation. - Ning Xie, Gabrielle Ras, Marcel van Gerven, Derek Doran:
Explainable Deep Learning: A Field Guide for the Uninitiated. - Sharan Narang, Colin Raffel, Katherine Lee, Adam Roberts, Noah Fiedel, Karishma Malkan:
WT5?! Training Text-to-Text Models to Explain their Predictions. - Xiaoteng Ma, Qiyuan Zhang, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao:
Distributional Soft Actor Critic for Risk Sensitive Learning. - Fabricio Pérez, Miguel Angel Moreles, Hector Morales:
Ocean surface radial velocity imaging in the AT-INSAR Velocity Bunching Model. A functional approach. - Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. - Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis, Tania Stathaki:
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network. - Bingxin Zhu, Haijun Wu:
Hybridizable Discontinuous Galerkin Methods for Helmholtz Equation with High Wave Number. Part I: Linear case. - Kristen C. Allen, Alex Davis, Tamar Krishnamurti:
Indirect Identification of Psychosocial Risks from Natural Language. - Peiran Li, Fang Guo, Jingbo Shang:
User-Guided Aspect Classification for Domain-Specific Texts. - Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan:
A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration. - Saravanan Ramanathan, Nitin Shivaraman, Seima Suryasekaran, Arvind Easwaran, Etienne Borde, Sebastian Steinhorst:
A Survey on Time-Sensitive Resource Allocation in the Cloud Continuum. - Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. - Yong Kiam Tan, André Platzer:
An Axiomatic Approach to Existence and Liveness for Differential Equations. - Xingwang Li, Mengle Zhao, Yuanwei Liu, Lihua Li, Zhiguo Ding, Arumugam Nallanathan:
Secrecy Analysis of Ambient Backscatter NOMA Systems under I/Q Imbalance. - Brian Thompson, Matt Post:
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing. - Chenguang Zhu:
Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training. - Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. - Max Pflueger, Gaurav S. Sukhatme:
Plan-Space State Embeddings for Improved Reinforcement Learning. - Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals. - Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang:
memeBot: Towards Automatic Image Meme Generation. - Gorka Kobeaga, María Merino, José Antonio Lozano:
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms. - Hayley Ross, Jonathon Cai, Bonan Min:
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing. - Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. - Eisuke Shibuya, Kazuhiro Hotta:
Feedback U-net for Cell Image Segmentation. - Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan:
Bilateral Attention Network for RGB-D Salient Object Detection. - Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou, Anna Luo:
Out-of-the-box channel pruned networks. - Daniel Kang, Tatsunori Hashimoto:
Improved Natural Language Generation via Loss Truncation. - Ying-Hao Zhang, Xiao Fan Liu:
Satellite Broadcasting Enabled Blockchain Protocol: A Preliminary Study. - Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan:
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation. - Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. - Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier:
EXACT: A collaboration toolset for algorithm-aided annotation of almost everything. - Isabel Papadimitriou, Dan Jurafsky:
Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models. - Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, Gangwoo Kim, Jaewoo Kang:
Look at the First Sentence: Position Bias in Question Answering. - Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. - Prathyusha Jwalapuram, Barbara Rychalska, Shafiq R. Joty, Dominika Basaj:
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation. - Yi-Lin Tuan, Wei Wei, William Yang Wang:
Unsupervised Injection of Knowledge into Dialogue Generation via Language Models. - Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. - Tomasz Limisiewicz, Rudolf Rosa, David Marecek:
Universal Dependencies according to BERT: both more specific and more general. - Atticus Geiger, Kyle Richardson, Christopher Potts:
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models. - Tim Jahn, Bangti Jin:
On the Discrepancy Principle for Stochastic Gradient Descent. - Tasnim Mohiuddin, Prathyusha Jwalapuram, Xiang Lin, Shafiq R. Joty:
CohEval: Benchmarking Coherence Models. - Benjamin Aram Berendsohn, László Kozma:
Geometric group testing. - Sinan Tan, Huaping Liu, Di Guo, Fuchun Sun:
Towards Embodied Scene Description. - Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman:
Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines. - Niclas Boehmer, Edith Elkind:
Stable Roommate Problem with Diversity Preferences. - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. - Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
DIABLO: Dictionary-based Attention Block for Deep Metric Learning. - Zhaohan Daniel Guo, Bernardo Ávila Pires, Bilal Piot, Jean-Bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar:
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. - Jifan Chen, Greg Durrett:
Robust Question Answering Through Sub-part Alignment. - Sufeng Duan, Juncheng Cao, Hai Zhao:
Capsule-Transformer for Neural Machine Translation. - Richard Santiago, Yuichi Yoshida:
Weakly Submodular Function Maximization Using Local Submodularity Ratio. - Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha:
Question Rewriting for Conversational Question Answering. - Jarkko Peltomäki, Aleksi Saarela:
Standard words and solutions of the word equation $X_1^2 \dotsm X_n^2 = (X_1 \dotsm X_n)^2$. - Qi Yu, Yuanlong Wang, Daoyi Dong, Ian R. Petersen, Guo-Yong Xiang:
Generation of accessible sets in the dynamical modelling of quantum network systems. - Teresa Scantamburlo, Atia Cortés, Pierre Dewitte, Daphné Van Der Eycken, Valentina Billa, Pieter Duysburgh, Willemien Laenens:
Covid-19 and contact tracing apps: A review under the European legal framework. - Hassan Kané, Muhammed Yusuf Kocyigit, Ali Abdalla, Pelkins Ajanoh, Mohamed Coulibali:
NUBIA: NeUral Based Interchangeability Assessor for Text Generation. - Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato, Raffaele Gaetano:
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. - Aniket Limaye, Manu Mathew, Soyeb Nagori, Pramod Kumar Swami, Debapriya Maji, Kumar Desappan:
SS3D: Single Shot 3D Object Detector. - Thomas Zenkel, Joern Wuebker, John DeNero:
End-to-End Neural Word Alignment Outperforms GIZA++. - Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. - Dylan J. Foster, Alexander Rakhlin, Tuhin Sarkar:
Learning nonlinear dynamical systems from a single trajectory. - Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat:
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation. - Harini M., Harini T., Roxanna Samuel:
Design and Implementation of Air Selection based Augmented Reality Serious Game for Learning Capability Analysis. - Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye:
AIBench: An Industry Standard AI Benchmark Suite from Internet Services. - Suat Mercan, Mumin Cebe, Ege Tekiner, Kemal Akkaya, Melissa Chang, A. Selcuk Uluagac:
A Cost-efficient IoT Forensics Framework with Blockchain. - Kuldeep S. Meel, S. Akshay:
Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice. - Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu:
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders. - Chuan Xu, Giovanni Neglia, Nicola Sebastianelli:
Dynamic backup workers for parallel machine learning. - Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi:
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning. - Yang Wei, Yuanbin Wu, Man Lan:
A Span-based Linearization for Constituent Trees. - Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. - Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. - Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. - Christoph Dürr, Shahin Kamali:
Randomized Two-Valued Bounded Delay Online Buffer Management. - Ylva Jansson, Maksim Maydanskiy, Lukas Finnveden, Tony Lindeberg:
Inability of spatial transformations of CNN feature maps to support invariant recognition. - Viacheslav Osaulenko:
Binary autoencoder with random binary weights. - Pierre Lison, Aliaksandr Hubin, Jeremy Barnes, Samia Touileb:
Named Entity Recognition without Labelled Data: A Weak Supervision Approach. - Niels Grüttemeier, Christian Komusiewicz:
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis. - Shaowen Peng, Tsunenori Mine:
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering. - Max S. New, Sam Lindley:
Proceedings Eighth Workshop on Mathematically Structured Functional Programming, MSFP@ETAPS 2020, Dublin, Ireland, 25th April 2020. EPTCS 317, 2020 [contents] - Rawad Bitar, Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi:
Criss-Cross Deletion Correcting Codes. - Ron Peretz, Amnon Schreiber:
The Lipschitz Constant of Perturbed Anonymous Games. - Ralf Raumanns, Elif K. Contar, Gerard Schouten, Veronika Cheplygina:
Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis. - Sarath Pathari:
Cloud+: A safe and restrained data access control program for cloud. - Raúl Quintero, Ignacio Parra, David Fernández Llorca, Miguel Ángel Sotelo:
Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition. - Sepehr Ghader, Jun Zhao, Minha Lee, Weiyi Zhou, Guangchen Zhao, Lei Zhang:
Observed mobility behavior data reveal social distancing inertia. - Bob Coecke, Matthew Leifer:
Proceedings 16th International Conference on Quantum Physics and Logic, QPL 2019, Chapman University, Orange, CA, USA, June 10-14, 2019. EPTCS 318, 2020 [contents] - Andrea Maggiordomo, Federico Ponchio, Paolo Cignoni, Marco Tarini:
Real-World Textured Things: a Repository of Textured Models Generated with Modern Photo-Reconstruction Tools. - Hady ElSahar, Maximin Coavoux, Matthias Gallé, Jos Rozen:
Self-Supervised and Controlled Multi-Document Opinion Summarization. - Matthew Mirman, Timon Gehr, Martin T. Vechev:
Robustness Certification of Generative Models. - Serhii Havrylov, Ivan Titov:
Preventing Posterior Collapse with Levenshtein Variational Autoencoder. - Katrine Tjell, Jaron Skovsted Gundersen, Rafael Wisniewski:
Privacy Preservation in Epidemic Data Collection. - Ignacio Tamarit, María Pereda, José A. Cuesta:
Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences. - Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto:
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. - Frederik Geth, Carleton Coffrin, David M. Fobes:
A Flexible Storage Model for Power Network Optimization. - Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song:
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. - Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Lambert T. Leong, Sean Wiere:
Digit Recognition From Wrist Movements and Security Concerns with Smart Wrist Wearable IOT Devices. - Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Semantic Triple Encoder for Fast Open-Set Link Prediction. - Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. - Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser:
Character-Level Translation with Self-attention. - Édouard Bonnet, Eun Jung Kim, Stéphan Thomassé, Rémi Watrigant:
Twin-width I: tractable FO model checking. - Gal Mendelson:
A Lower Bound on the stability region of Redundancy-d with FIFO service discipline. - Angela Bonifati, Stefania Dumbrava, Haridimos Kondylakis:
Graph Summarization. - Jingcai Guo, Song Guo:
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. - Yevgeni Berzak, Jonathan Malmaud, Roger Levy:
STARC: Structured Annotations for Reading Comprehension. - Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng:
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. - Nitin Shivaraman, Seima Saki, Zhiwei Liu, Saravanan Ramanathan, Arvind Easwaran, Sebastian Steinhorst:
Real-Time Energy Monitoring in IoT-enabled Mobile Devices. - Roberto Interdonato, Matteo Magnani, Diego Perna, Andrea Tagarelli, Davide Vega:
Multilayer network simplification: approaches, models and methods. - Jonathan Gorard:
Some Relativistic and Gravitational Properties of the Wolfram Model. - Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. - Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation. - Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kavé Salamatian, Masoud Nejad Sattary:
On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach. - Larry Bull:
On the Baldwin Effect under Coevolution. - Kevin Batz, Sebastian Junges, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Philipp Schröer:
PrIC3: Property Directed Reachability for MDPs. - Sven Knüfer, Matthias A. Müller:
Time-Discounted Incremental Input/Output-to-State Stability. - Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. - Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui:
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? - Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani:
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding. - Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini:
Knowledge Graph Embeddings and Explainable AI. - Elizabeth Nielsen, Mark Steedman, Sharon Goldwater:
The role of context in neural pitch accent detection in English. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. - Ella Peltonen, Mehdi Bennis, Michele Capobianco, Mérouane Debbah, Aaron Yi Ding, Felipe J. Gil-Castiñeira, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Adrian Kliks, Teemu Leppänen, Lauri Lovén, Tommi Mikkonen, Ashwin Rao, Sumudu Samarakoon, Kari Seppänen, Pawel Sroka, Sasu Tarkoma, Tingting Yang:
6G White Paper on Edge Intelligence. - Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task. - Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris:
MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. - Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
Flag Codes from Planar Spreads in Network Coding. - Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. - Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu:
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization. - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
Progressive Transformers for End-to-End Sign Language Production. - Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Segmentation by Frame Field Learning. - Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Analyzing the Surprising Variability in Word Embedding Stability Across Languages. - Zdenek Straka, Tomás Svoboda, Matej Hoffmann:
PreCNet: Next Frame Video Prediction Based on Predictive Coding. - Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Few-Shot Learning for Abstractive Multi-Document Opinion Summarization. - Monika Henzinger, Sagar Kale:
Fully-Dynamic Coresets. - Prashant K. Gupta, Pranab K. Muhuri:
An empirical study of computing with words approaches for multi-person and single-person systems. - Kalle Hjerppe, Jukka Ruohonen, Ville Leppänen:
Extracting Layered Privacy Language Purposes from Web Services. - Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng:
Polarization Human Shape and Pose Dataset. - Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
MLSUM: The Multilingual Summarization Corpus. - David Wilmot, Frank Keller:
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation. - Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
You are right. I am ALARMED - But by Climate Change Counter Movement. - Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad:
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. - Suzanna Sia, Ayush Dalmia, Sabrina J. Mielke:
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! - Arturo Oncevay, Barry Haddow, Alexandra Birch:
Bridging linguistic typology and multilingual machine translation with multi-view language representations. - R. Geetha Ramani, Suresh Kumar S:
Non-Volatile Kernel Root kit Detection and Prevention in Cloud Computing. - Dario Stojanovski, Alexander M. Fraser:
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation. - Christos Baziotis, Barry Haddow, Alexandra Birch:
Language Model Prior for Low-Resource Neural Machine Translation. - Umang Mathur, Andreas Pavlogiannis, Mahesh Viswanathan:
The Complexity of Dynamic Data Race Prediction. - Prashant K. Gupta, Pranab K. Muhuri:
Perceptual reasoning based solution methodology for linguistic optimization problems. - Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss:
Adaptive Robust Kernels for Non-Linear Least Squares Problems. - Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. - Ziv Goldfeld, Yury Polyanskiy:
The Information Bottleneck Problem and Its Applications in Machine Learning. - Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon:
Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing. - Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients. - Prashant K. Gupta, Pranab K. Muhuri:
Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology. - Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre:
A Call for More Rigor in Unsupervised Cross-lingual Learning. - Deborah Ferreira, André Freitas:
Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text. - Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Self-Training. - Maryam Aminian, Mohammad Sadegh Rasooli, Mona T. Diab:
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies. - Emrah Budur, Riza Özçelik, Tunga Güngör, Christopher Potts:
Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages. - Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. - Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. - Hao Zheng, Yingying Zhang, Chris J. Myers:
Local State Space Analysis to Assist Partial Order Reduction. - Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra:
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web. - David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi:
Fact or Fiction: Verifying Scientific Claims. - Alex Tamkin, Trisha Singh, Davide Giovanardi, Noah D. Goodman:
Investigating Transferability in Pretrained Language Models. - Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. - Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang:
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. - Hua Sun:
Compound Secure Groupcast: Key Assignment for Selected Broadcasting. - Rachel Bawden, Biao Zhang, Lisa Yankovskaya, Andre Tättar, Matt Post:
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation. - Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas:
Reinforcement Learning with Augmented Data. - Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov:
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. - Camilla Jacome, Michael A. F. Monteiro, Miguel R. B. Cabral, Pedro Carvalho, Leandro Almeida:
A more secure IPv6 neighborhood process. - Hao Zheng, Andrew Price, Chris J. Myers:
Using Decision Diagrams to Compactly Represent the State Space for Explicit Model Checking. - He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
SegaBERT: Pre-training of Segment-aware BERT for Language Understanding. - Ilia Kuznetsov, Iryna Gurevych:
A Matter of Framing: The Impact of Linguistic Formalism on Probing Results. - Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. - Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. - Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau:
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. - Ruchi Guo:
Solving Parabolic Moving Interface Problems with Dynamical Immersed Spaces on Unfitted Meshes: Fully Discrete Analysis. - Mihir Kale, Abhinav Rastogi:
Few-Shot Natural Language Generation by Rewriting Templates. - Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider:
Lexical Semantic Recognition. - Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld:
TLDR: Extreme Summarization of Scientific Documents. - Rohan Jha, Charles Lovering, Ellie Pavlick:
When does data augmentation help generalization in NLP? - Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy:
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. - Eric Wallace, Mitchell Stern, Dawn Song:
Imitation Attacks and Defenses for Black-box Machine Translation Systems. - Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, José Camacho-Collados:
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. - Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, Yinfei Yang:
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO. - Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf:
Consistent Video Depth Estimation. - Krishna Subramani, Preeti Rao, Alexandre D'Hooge:
VaPar Synth - A Variational Parametric Model for Audio Synthesis. - Randall W. Gladen, Varghese A. Chirayath, Alexander J. Fairchild, Michael T. Manry, Ali R. Koymen, Alex H. Weiss:
Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector. - Halgurd Sarhang Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor, Ali Safaa Sadiq, Muhammad Khurram Khan:
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms. - Larissa Albantakis, Francesco Massari, Maggie Beheler-Amass, Giulio Tononi:
A macro agent and its actions. - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. - Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini:
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. - Jack West, Tien VoNguyen, Isaac Ahlgren, Iryna Motyashok, George K. Thiruvathukal, Neil Klingensmith:
VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract). - Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe:
Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Wireless Collaborative-Computing. - Hartmut Maennel:
Exact marginal inference in Latent Dirichlet Allocation. - Yusuke Sakumoto, Masaki Aida:
The Wigner's Semicircle Law of Weighted Random Networks. - Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf:
Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem. - Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis. - Simon Foucart:
Instances of Computational Optimal Recovery: Refined Approximability Models. - Satya Prakash Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás:
3D Deep Learning on Medical Images: A Review. - Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni:
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs. - Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann:
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach. - Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos:
A generalised OMP algorithm for feature selection with application to gene expression data. - Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross:
EikoNet: Solving the Eikonal equation with Deep Neural Networks. - Keqiang Li, Jiawei Wang, Yang Zheng:
Optimal Formation of Autonomous Vehicles in Mixed Traffic Flow. - Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson:
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection. - Wenjie Zheng:
Total Variation Regularization for Compartmental Epidemic Models with Time-varying Dynamics. - Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. - Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina:
A General Large Neighborhood Search Framework for Solving Integer Programs. - Daniel G. Alfaro Vigo, A. C. Alvarez, Grigori Chapiro, G. Garcia-Mokina, Carlos Gustavo T. de A. Moreira:
Solving the inverse problem for an ordinary differential equation using conjugation. - Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn:
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. - Beate Sick, Torsten Hothorn, Oliver Dürr:
Deep transformation models: Tackling complex regression problems with neural network based transformation models. - Vivak Patel:
Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions. - Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, Tomas E. Ward:
Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications. - Rui Dong, Changyang She, Wibowo Hardjawana, Yonghui Li, Branka Vucetic:
Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G. - Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. - Maryam Zamani, Alejandro Tejedor, Malte Vogl, Florian Kräutli, Matteo Valleriani, Holger Kantz:
Evolution and Transformation of Scientific Knowledge over the Sphaera Corpus: A Network Study. - Jee-weon Jung, Seung-bin Kim, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu:
Improved RawNet with Filter-wise Rescaling for Text-independent Speaker Verification using Raw Waveforms. - Andrea López-Incera, Katja Ried, Thomas Müller, Hans J. Briegel:
Development of swarm behavior in artificial learning agents that adapt to different foraging environments. - Ivan De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. - Leon Bungert, Matthias J. Ehrhardt:
Robust Image Reconstruction with Misaligned Structural Information. - Pablo Gill Estevez, Pablo Marchi, Cecilia G. Galarza, Marcelo Elizondo:
Non-Stationary Power System Forced Oscillation Analysis using Synchrosqueezing Transform. - Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints. - Pamela E. Harris, Erik Insko, Alicia Prieto-Langarica, Rade Stoisavljevic, Shaun Sullivan:
Tipsy cop and drunken robber: a variant of the cop and robber game on graphs. - Bhaswar B. Bhattacharya, Sohom Bhattacharya, Shirshendu Ganguly:
Spectral Edge in Sparse Random Graphs: Upper and Lower Tail Large Deviations. - Gecheng Chen, Rui Tuo:
Projection Pursuit Gaussian Process Regression. - Monica Anna Giovanniello, Simone Tonin:
A Note on the Provision of a Public Service of Different Quality. - M. Cheng, Fangxin Fang, Christopher C. Pain, I. M. Navon:
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network. - Harbir Antil, Ratna Khatri, Rainald Löhner, Deepanshu Verma:
Fractional Deep Neural Network via Constrained Optimization. - Yanwei Zhao, Ping Yang, Qiu Guan, Jianwei Zheng, Wanliang Wang:
Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. - Damla Acar, Oguz Yayla:
Power Hadamard matrices and Plotkin-optimal pk-ary codes. - Jaber Valinejad, Lamine Mili:
Community Resilience Optimization Subject to Power Flow Constraints in Cyber-Physical-Social Systems in Power Engineering. - Zike Lei, Xi Chen, Xiang Chen, Li Chai:
Radial Coverage Strength for Optimization of Multi-Camera Deployment. - Ayumu Nakayama, Manabu Hagiwara:
Single Quantum Deletion Error-Correcting Codes. - Yoni Kasten, Daniel Doktofsky, Ilya Kovler:
End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones From Bi-Planar X-Ray Images. - Tim Hellemans, Benny Van Houdt:
Heavy Traffic Analysis of the Mean Response Time for Load Balancing Policies in the Mean Field Regime. - Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan:
Enhance the performance of navigation: A two-stage machine learning approach. - Mattes Mollenhauer, Stefan Klus, Christof Schütte, Péter Koltai:
Kernel autocovariance operators of stationary processes: Estimation and convergence. - Ali Aroudi, Tobias de Taillez, Simon Doclo:
Improving auditory attention decoding performance of linear and non-linear methods using state-space model. - Sascha Frölich, Dimitrije Markovic, Stefan J. Kiebel:
Neuronal Sequence Models for Bayesian Online Inference. - Haoyu Li, Szu-Wei Fu, Yu Tsao, Junichi Yamagishi:
iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric Learning. - Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad:
Neural network based country wise risk prediction of COVID-19. - Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment. - Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model. - Daniela di Serafino, Gerardo Toraldo, Marco Viola:
Using gradient directions to get global convergence of Newton-type methods. - Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer:
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. - Jie Liu, Xiaotian Wu, Kai Zhang, Bing Liu, Renyi Bao, Xiao Chen, Yiran Cai, Yiming Shen, Xinjun He, Jun Yan, Weixing Ji:
Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing. - Zhanhong Cheng, Martin Trépanier, Lijun Sun:
Incorporating travel behavior regularity into passenger flow forecasting. - Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili:
Energy-efficient Analog Sensing for Large-scale and High-density Persistent Wireless Monitoring. - Christos Fotis, Nikos Meimetis, Antonis Sardis, Leonidas G. Alexopoulos:
DeepSIBA: Chemical Structure-based Inference of Biological Alterations. - Titas De:
Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens. - Kunal Garg, Dimitra Panagou:
Distributed Robust Control Synthesis for Safety and Fixed-Time Stability in Multi-Agent Systems. - Giuseppe Di Molfetta, Vivien M. Kendon, Yutaka Shikano:
Proceedings 9th International Conference on Quantum Simulation and Quantum Walks, QSQW 2020, Marseille, France, 20-24/01/2020. EPTCS 315, 2020 [contents] - Marco Seminara, Tassadaq Nawaz, Stefano Caputo, Lorenzo Mucchi, Jacopo Catani:
Optical Characterization of Ultra-Low latency Visible Light Communication System for Intelligent Transportation Systems. - Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-view Discriminant Analysis. - Marcelo V. Flamarion, Roberto Ribeiro-Jr:
Trapped solitary-wave interaction for Euler equations with low pressure region. - Júlia Komjáthy, John Lapinskas, Johannes Lengler:
Stopping explosion by penalising transmission to hubs in scale-free spatial random graphs. - Jaron J. R. Lee, Ilya Shpitser:
Identification Methods With Arbitrary Interventional Distributions as Inputs. - Stefan Steinerberger:
A Spectral Approach to the Shortest Path Problem. - Mitchell Black, Kunal Garg, Dimitra Panagou:
A Quadratic Program based Control Synthesis under Spatiotemporal Constraints and Non-vanishing Disturbances. - Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. - Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien, Sally M. Elghamrawy:
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset. - Axel Wismüller, Titas De, Eva Lochmüller, Felix Eckstein, Mahesh B. Nagarajan:
Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging. - Gadi Naveh, Oded Ben-David, Haim Sompolinsky, Zohar Ringel:
Predicting the outputs of finite networks trained with noisy gradients. - Eli Sherman, David Arbour, Ilya Shpitser:
General Identification of Dynamic Treatment Regimes Under Interference. - Bharat Padi, Anand Mohan, Sriram Ganapathy:
Towards Relevance and Sequence Modeling in Language Recognition. - Fabio A. González, Vladimir Vargas-Calderón, Herbert Vinck-Posada:
Supervised Learning with Quantum Measurements. - Juan Carlos García-Altamirano, César Hernández-Cruz:
Minimal obstructions for a matrix partition problem in chordal graphs. - Sander Heinsalu:
Greater search cost reduces prices. - Chaman Kumar, Neelima:
On Explicit Milstein-type Scheme for Mckean-Vlasov Stochastic Differential Equations with Super-linear Drift Coefficient. - Ali Imran, Iryna Posokhova, Haneya Naeem Qureshi, Usama Masood, Sajid Riaz, Kamran Ali, Charles N. John, Muhammad Nabeel:
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App. - Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu:
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. - Xiaoyun Li, Chengxi Wu, Ping Li:
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation. - Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. - Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
STAN-CT: Standardizing CT Image using Generative Adversarial Network. - Nikolas Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams:
Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach. - Yutaka Shikano, Kentaro Tamura, Rudy Raymond:
Detecting Temporal Correlation via Quantum Random Number Generation. 18-25 - Haruna Katayama, Noriyuki Hatakenaka, Toshiyuki Fujii:
Theoretical Studies on Quantum Walks with a Time-varying Coin. 74-82 - Arnab Char, T. Karthick:
Wheel-free graphs with no induced five-vertex path. - Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. - Chenjie Zhou, Jianhua Ma, Xiaoping Xu, Lei Feng, Adilijiang Yimamu, Xianlong Wang, Zhiming Li, Jianhua Mo, Chengyan Huang, Dexia Kong, Yi Gao, Shulong Li:
Predicting the risk of pancreatic cancer with a CT-based ensemble AI algorithm. - Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. - Syed M. Hassaan, Mohammad Khajenejad, Spencer Jensen, Qiang Shen, Sze Zheng Yong:
Incremental Affine Abstraction of Nonlinear Systems. - Gerardo Iñiguez, Federico Battiston, Márton Karsai:
Bridging the gap between graphs and networks. - Pitoyo Hartono:
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder. - Giorgio Ottaviani, Philipp Reichenbach:
Tensor Rank and Complexity. - Charles Bales, Charles N. John, Hasan Farooq, Usama Masood, Muhammad Nabeel, Ali Imran:
Can Machine Learning Be Used to Recognize and Diagnose Coughs? - Sven Husmann, Antoniya Shivarova, Rick Steinert:
Company classification using machine learning. - Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, Amir Mosavi:
Deep learning for Stock Market Prediction. - Ye-Sheen Lim, Denise Gorse:
Deep Probabilistic Modelling of Price Movements for High-Frequency Trading. - Ye-Sheen Lim, Denise Gorse:
Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow. - Jonghyeon Min:
Financial Market Trend Forecasting and Performance Analysis Using LSTM. - Philip Ndikum:
Machine Learning Algorithms for Financial Asset Price Forecasting. - Amir Mosavi, Pedram Ghamisi, Yaser Faghan, Puhong Duan:
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. - Nao Tokui:
Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin. - Blaz Skrlj, Benjamin Renoust:
Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks. - Kunal Garg, Dimitra Panagou:
Characterization of Domain of Fixed-time Stability under Control Input Constraints. - Tharindu Fernando, Sridha Sridharan, Mitchell McLaren, Darshana Priyasad, Simon Denman, Clinton Fookes:
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection. - Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen:
Neural i-vectors. - Vincent Margot:
A rigorous method to compare interpretability of rule-based algorithms. - Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
TRAMP: Compositional Inference with TRee Approximate Message Passing. - James Anderson, Fengyu Zhou, Steven H. Low:
Worst-Case Sensitivity of DC Optimal Power Flow Problems. - Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu:
Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks. - Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos:
Faster Gaussian Processes via Deep Embeddings. - Peter Ström, Kimmo Kartasalo, Pekka Ruusuvuori, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Lars Egevad, Martin Eklund:
Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks. - David F. Nettleton, Dimitrios Katsantonis, Argyris Kalaitzidis, Natasa Sarafijanovic-Djukic, Pau Puigdollers, Roberto Confalonieri:
Predicting rice blast disease: machine learning versus process based models. - Filip Lux, Petr Matula:
Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning. - Srinath Jayachandran, Ashlin Ghosh:
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology. - Felix Brandt, Markus Brill, Hans Georg Seedig, Warut Suksompong:
On the Structure of Stable Tournament Solutions. - Eleni Kamilari, Dimitrios A. Anagnostopoulos, Photis Papademas, Andreas Kamilaris, Dimitris Tsaltas:
Characterizing Halloumi cheese bacterial communities through metagenomic analysis. - Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala:
Complex-Valued Convolutional Neural Networks for MRI Reconstruction. - Péter Hajnal, Zhihao Liu, György Turán:
Nearest neighbor representations of Boolean functions. - Michael Bell, Yuval Kochman:
On Universality and Training in Binary Hypothesis Testing. - Rifat Zahan, Ian McQuillan, Nathaniel D. Osgood:
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach. - Himanshu Thapliyal, Edgard Muñoz-Coreas, Vladislav Khalus:
T-count and Qubit Optimized Quantum Circuit Designs of Carry Lookahead Adder. - Renan Cipriano Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad, Amin Hekmatmanesh, Pedro E. Gória Silva, Arthur Sousa de Sena, Merim Dzaferagic, Harun Siljak, Werner Van Leekwijck, Dick Carrillo, Steven Latré:
Neurosciences and 6G: Lessons from and Needs of Communicative Brains. - Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. - Onur Günlü, Rafael F. Schaefer:
Low-complexity and Reliable Transforms for Physical Unclonable Functions. - Neeraj Dhanraj Bokde, Gorm Bruun Andersen:
ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison. - Mamadou Diagne, Iasson Karafyllis:
Event-Triggered Control of a Continuum Model of Highly Re-Entrant Manufacturing System. - Shuhang Zhang, Hongliang Zhang, Lingyang Song:
Beyond D2D: Full Dimension UAV-to-Everything Communications in 6G. - Sharad Joshi, Pawel Korus, Nitin Khanna, Nasir D. Memon:
Empirical Evaluation of PRNU Fingerprint Variation for Mismatched Imaging Pipelines. - Stefan Vlaski, Elsa Rizk, Ali H. Sayed:
Tracking Performance of Online Stochastic Learners. - Zvika Brakerski, Omri Shmueli:
Scalable Pseudorandom Quantum States. - Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos:
Volumetric Attention for 3D Medical Image Segmentation and Detection. - Mehrdad Noori, Ali Bahri, Karim Mohammadi:
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation. - Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. - Rubén Aylwin, Gerardo Silva-Oelker, Carlos Jerez-Hanckes, Patrick Fay:
Optimization methods for achieving high diffraction efficiency with perfect electric conducting gratings. - Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof:
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. - Chuan Tan, Jin Zhu, Pietro Lio':
Arbitrary Scale Super-Resolution for Brain MRI Images. - Jian Wang, Miaomiao Zhang:
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration. - Friedrich Kruber, Jonas Wurst, Michael Botsch:
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization. - Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch:
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. - Nicoló Savioli:
One-shot screening of potential peptide ligands on HR1 domain in COVID-19 glycosylated spike (S) protein with deep siamese network. - Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik:
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems. - Suddhasattwa Das, Dimitrios Giannakis, Eniko Szekely:
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems. - Steffen Goebbels:
On Sharpness of Error Bounds for Multivariate Neural Network Approximation. - Xiaopeng Luo, Xin Xu:
Regularized asymptotic descents for a class of nonconvex optimization problems. - Francesco Lazzarotto, Ettore Del Monte:
SADAS: an integrated software system for the data of the SuperAGILE experiment. - Aymen Khaleel, Ertugrul Basar:
Reconfigurable Intelligent Surface-Empowered MIMO Systems. - S. M. Kamrul Hasan, Cristian A. Linte:
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation. - Amirreza Zaman, Behrouz Safarinejadian:
Security Analysis and Fault Detection Against Stealthy Replay Attacks. - Mingrui Yang, Yun Jiang, Dan Ma, Bhairav B. Mehta, Mark A. Griswold:
Game of Learning Bloch Equation Simulations for MR Fingerprinting. - Xiaolan Liu, Jiadong Yu, Yue Gao:
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing. - Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin:
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. - Carlos E. M. Relvas, André Fujita:
Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates. - Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto:
Adaptive Explainable Neural Networks (AxNNs). - Moyan Li, Raed Kontar:
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes. - Song Cheng, Chenfeng Cao, Chao Zhang, Yongxiang Liu, Shi-Yao Hou, Pengxiang Xu, Bei Zeng:
Simulating Noisy Quantum Circuits with Matrix Product Density Operators. - Cunhang Fan, Jianhua Tao, Bin Liu, Jiangyan Yi, Zhengqi Wen:
Simultaneous Denoising and Dereverberation Using Deep Embedding Features. - Camille Pouchol, Olivier Verdier:
ML-EM algorithm with known continuous movement model. - Jan Krajícek:
A limitation on the KPT interpolation. - Wenqi Cao, Anders Lindquist, Giorgio Picci:
Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. - Haoyang Deng, Toshiyuki Ohtsuka:
A Double-Layer Jacobi Method for PDE-Constrained Nonlinear Model Predictive Control. - Julien Esnay, Etienne Moutot:
Weakly and Strongly Aperiodic Subshifts of Finite Type on Baumslag-Solitar Groups. - Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen:
Vocoder-Based Speech Synthesis from Silent Videos. - Adil Salim, Laurent Condat, Konstantin Mishchenko, Peter Richtárik:
Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms. - Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan:
Coronavirus Detection and Analysis on Chest CT with Deep Learning. - Devendra Singh Gurjar, Ha H. Nguyen, Prabina Pattanayak:
Performance of Wireless Powered Cognitive Radio Sensor Networks With Nonlinear Energy Harvester. - Vander L. S. Freitas, Jeferson Feitosa, Catia S. N. Sepetauskas, Leonardo B. L. Santos:
Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks. - Dan Reznik, Ronaldo Garcia:
Circum- and Inconic Invariants of 3-Periodics in the Elliptic Billiard. - Junan Zhu, Kristina Rivera, Dror Baron:
Noisy Pooled PCR for Virus Testing. - Sohail Bahmani, Kiryung Lee:
Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization. - Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. - Calvin Hawkins, Matthew T. Hale:
Differentially Private Formation Control. - Qinkai Zheng, Han Qiu, Gérard Memmi, Isabelle Bloch:
Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques. - Haomiao Meng, Ying-Qi Zhao, Haoda Fu, Xingye Qiao:
Near-optimal Individualized Treatment Recommendations. - Nathan Kallus:
Comment: Entropy Learning for Dynamic Treatment Regimes. - Thomas R. Hurd:
COVID-19: Analytics Of Contagion On Inhomogeneous Random Social Networks. - Rui Nie, Huan Yang, Hejuan Peng, Wenbin Luo, Weiya Fan, Jie Zhang, Jing Liao, Fang Huang, Yufeng Xiao:
Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images. - Marco Berghoff, Martin Frank, Benjamin Seibold:
Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations. - Jason M. Altschuler, Pablo A. Parrilo:
Random Osborne: a simple, practical algorithm for Matrix Balancing in near-linear time. - Alexander Shen:
Complexity of majorants. - Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim:
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs. - Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl:
Lossless Image Compression through Super-Resolution. - Luciano Melodia, Richard Lenz:
Parametrization of Neural Networks with Connected Abelian Lie Groups as Data Manifold. - Imène Trigui, Wessam Ajib, Wei-Ping Zhu:
A Comprehensive Study of Reconfigurable Intelligent Surfaces in Generalized Fading. - Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih Shih Lee, Cuntai Guan:
TSception: A Deep Learning Framework for Emotion Detection Using EEG. - Ding Zhou, Yuanjun Gao, Liam Paninski:
Disentangled sticky hierarchical Dirichlet process hidden Markov model. - Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott:
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. - Tammy Drezner, Zvi Drezner, Pawel Jan Kalczynski:
Directional approach to gradual cover: the continuous case. - Simon Graham, David B. A. Epstein, Nasir M. Rajpoot:
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. - Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. - Theresa Kuchler, Dominic Russel, Johannes Stroebel:
The geographic spread of COVID-19 correlates with structure of social networks as measured by Facebook. - Yizhuo Song, Muhammad R. A. Khandaker, Faisal Tariq, Kai-Kit Wong:
Truly Intelligent Reflecting Surface-Aided Secure Communication Using Deep Learning. - Polina Alexeenko, Eilyan Bitar:
Nonparametric Estimation of Uncertainty Sets for Robust Optimization. - Li You, Jiayuan Xiong, Alessio Zappone, Wenjin Wang, Xiqi Gao:
Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission with Statistical CSIT. - Bin Lyu, Parisa Ramezani, Dinh Thai Hoang, Shimin Gong, Zhen Yang, Abbas Jamalipour:
Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN. - Ruturaj G. Gavaskar, Kunal N. Chaudhury:
Plug-and-play ISTA converges with kernel denoisers. - Sourish Das:
Prediction of COVID-19 Disease Progression in India : Under the Effect of National Lockdown. - Yang Zhang, Changhui Hu, Xiaobo Lu:
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization. - Yanjun Han, Kirankumar Shiragur:
The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. - Quoc-Hoan Tran, Mark Chen, Yoshihiko Hasegawa:
Topological Persistence Machine of Phase Transitions. - V. M. Danilevskiy, V. V. Yanovsky:
Statistical properties of telephone communication network. - Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch:
Multilingual enrichment of disease biomedical ontologies. - Youngmoon Jung, Seong Min Kye, Yeunju Choi, Myunghun Jung, Hoirin Kim:
Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification. - Laurent Vanni, Marco Corneli, Damon Mayaffre, Frédéric Precioso:
From text saliency to linguistic objects: learning linguistic interpretable markers with a multi-channels convolutional architecture. - Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang:
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation. - Sudhir R. Ghorpade, Christophe Ritzenthaler, François Rodier, Michael A. Tsfasman:
Arithmetic, Geometry, and Coding Theory: Homage to Gilles Lachaud. - Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study. - Pawel Dlotko, Simon Rudkin:
Visualising the Evolution of English Covid-19 Cases with Topological Data Analysis Ball Mapper. - Fatih Gulec, Baris Atakan:
A Fluid Dynamics Approach to Channel Modeling in Macroscale Molecular Communication. - Jianhai Bao, Christoph Reisinger, Panpan Ren, Wolfgang Stockinger:
First order convergence of Milstein schemes for McKean equations and interacting particle systems. - Andrea Bacigalupo, Luigi Gambarotta:
Identification of non-local continua for lattice-like materials. - Sandor Konya, Sai Natarajan T. R, Hassan Allouch, Kais Abu Nahleh, Omneya Yakout Dogheim, Heinrich Boehm:
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray. - Re'em Harel, Matan Rusanovsky, Yehonatan Fridman, Assaf Shimony, Gal Oren:
Complete CVDL Methodology for Investigating Hydrodynamic Instabilities. - Fatima-Zahra Siyouri, Fatima El Azzouzi:
Comparison of Perfect and Quasi Werner States. 112-120 - Jarek Duda:
Exploiting context dependence for image compression with upsampling. - Tsuyoshi Miezaki, Hiroyuki Nakasora:
Strengthening of the Assmus-Mattson theorem for some dual codes. - Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras, Dominique Collard, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. - Misgina Tsighe Hagos, Shri Kant, Surayya Ado Bala:
Automated Smartphone based System for Diagnosis of Diabetic Retinopathy. - Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao:
Universal Adversarial Perturbations Generative Network for Speaker Recognition. - V. Rajinikanth, Nilanjan Dey, Alex Noel Joseph Raj, Aboul Ella Hassanien, KC Santosh, Nadaradjane Sri Madhava Raja:
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images. - Jiguo Li, Xinfeng Zhang, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao:
Learning to fool the speaker recognition. - Yi Zheng, Xianjie Yang, Xuyong Dang:
Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition. - Supriyo Dutta, Partha Guha:
A System of Billiard and Its Application to Information-Theoretic Entropy. - Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Fahed Al Hassanat, Elnaz Jahani Heravi, Robert Laganière, Julien Rebut, Waqas Malik:
Deep Open Space Segmentation using Automotive Radar. - Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian:
Efficient Task Mapping for Manycore Systems. - Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir:
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation. - Shahram Dehdashti, Lauren Fell, Abdul Karim Obeid, Catarina Moreira, Peter Bruza:
Bistable Probabilities: A Unified Framework for Studying Rationality and Irrationality in Classical and Quantum Games. - Muhammad Amjad, Leila Musavian, Sonia Aïssa:
Link-Layer Rate of NOMA with Finite Blocklength for Low-Latency Communications. - Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. - Robert Rehr, Timo Gerkmann:
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. - David Rushing Dewhurst, Thayer Alshaabi, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth, Peter Sheridan Dodds:
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance. - Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura:
Pooling in Graph Convolutional Neural Networks. - Oscar F. Bandtlow, Julia Slipantschuk:
Lagrange approximation of transfer operators associated with holomorphic data. - Chao Fan, Xiangqi Jiang, Ali Mostafavi:
A Network Percolation-based Contagion Model of Flood Propagation and Recession in Urban Road Networks. - Nadiia Derevianko, Tino Ullrich:
Adaptive sampling recovery of functions with higher mixed regularity. - Sudeep Kundu, Karl Kunisch:
Policy iteration for Hamilton-Jacobi-Bellman equations with control constraints. - Jean-Pierre Briot:
From Artificial Neural Networks to Deep Learning for Music Generation - History, Concepts and Trends. - Ajna Ram, Constantino Carlos Reyes-Aldasoro:
The relationship between Fully Connected Layers and number of classes for the analysis of retinal images. - Shubin Fu, Zhidong Zhang:
Recovery of the time-dependent source term in the stochastic fractional diffusion equation with heterogeneous medium. - Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu:
Orthant Based Proximal Stochastic Gradient Method for 𝓁1-Regularized Optimization. - Behrooz Amini, Robert R. Bitmead:
LQG Control Performance with Low Bitrate Periodic Coding. - Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab:
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. - Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan:
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. - Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li:
Dense Residual Network for Retinal Vessel Segmentation. - Umut Ozkaya, Saban Öztürk, Mücahid Barstugan:
Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique. - Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou:
Channel Attention Residual U-Net for Retinal Vessel Segmentation. - Tharindu Fernando, Houman Ghaemmaghami, Simon Denman, Sridha Sridharan, Nayyar Hussain, Clinton Fookes:
Heart Sound Segmentation using Bidirectional LSTMs with Attention. - Matthew M. Dunlop, Yunan Yang:
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. - Md. Zahangir Alom, M. M. Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari:
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches. - Michael Gabbay:
Opinion Network Modeling and Experiment. - Udari Madhushani, Naomi Ehrich Leonard:
A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem. - Yuya Sugie, Yuki Yoshida, Normann Mertig, Takashi Takemoto, Hiroshi Teramoto, Atsuyoshi Nakamura, Ichigaku Takigawa, Shin-ichi Minato, Masanao Yamaoka, Tamiki Komatsuzaki:
Minor-embedding heuristics for large-scale annealing processors with sparse hardware graphs of up to 102, 400 nodes. - Camille Champion, Mélanie Blazère, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser:
Robust spectral clustering using LASSO regularization. - Kolja Them:
Molecular Quantum Electrodynamics at Finite Temperatures: Applications to Nuclear Magnetic Resonance. - Victor Delafontaine, Fabrizio Schiano, Giuseppe Cocco, Alexandru Rusu, Dario Floreano:
Drone-aided Localization in LoRa IoT Networks. - Mihaela Curmei, Georgina Hall:
Shape-Constrained Regression using Sum of Squares Polynomials. - Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight:
Manipulation-Proof Machine Learning. - Litu Rout, Indranil Misra, S. Manthira Moorthi, Debajyoti Dhar:
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis. - Zhiyuan Dong, Wei Cui, Guofeng Zhang:
On the dynamics of a quantum coherent feedback network of cavity-mediated double quantum dot qubits. - Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong, Jiawen Kang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao:
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach. - Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang:
Deep Adaptive Inference Networks for Single Image Super-Resolution. - Robin Scheibler, Nobutaka Ono:
MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction. - Jiawen Lyn, Sen Yan:
Image super-resolution reconstruction based on attention mechanism and feature fusion. - Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel:
The Loss Surfaces of Neural Networks with General Activation Functions. - Riccardo Gallotti, Francesco Valle, Nicola Castaldo, Pierluigi Sacco, Manlio De Domenico:
Assessing the risks of "infodemics" in response to COVID-19 epidemics. - Xu Li, Jinghua Zhong, Jianwei Yu, Shoukang Hu, Xixin Wu, Xunying Liu, Helen Meng:
Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification. - Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis, Alessandro Vespignani, Mauricio Santillana:
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. - Sabuzima Nayak, Ripon Patgiri:
6G Communications: Envisioning the Key Issues and Challenges. - Xulong Zhang, Yi Yu, Xi Chen, Wei Li:
Comparison for Improvements of Singing Voice Detection System Based on Vocal Separation. - Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Thomas R. Niesler:
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition. - Lam Pham:
Predicting Respiratory Anomalies and Diseases Using Deep Learning Models. - Meenu Ajith, Aswathy Rajendra Kurup, Manel Martínez-Ramón:
Time accelerated image super-resolution using shallow residual feature representative network. - Yunqi Cai, Lantian Li, Dong Wang, Andrew Abel:
Deep Normalization for Speaker Vectors. - Anna Silnova, Niko Brümmer, Johan Rohdin, Themos Stafylakis, Lukás Burget:
Probabilistic embeddings for speaker diarization. - Tsun-An Hsieh, Hsin-Min Wang, Xugang Lu, Yu Tsao:
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement. - Rachit Shukla:
Keywords Extraction and Sentiment Analysis using Automatic Speech Recognition. - Jeremy D. Turiel, Tomaso Aste:
Wisdom of the crowds in forecasting COVID-19 spreading severity. - Francesco Lazzarotto, Marco Feroci, Maria Teresa Pazienza:
A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments. - Nikhil Kumar Rajput, Piyush Badola, Harshit Arora, Bhavya Ahuja Grover:
Complex Network Analysis of Indian Railway Zones. - Qingfeng Wang, Ming Li, Christopher R. Monroe, Yun Seong Nam:
Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry. - Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn:
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. - Alireza Vafaei Sadr, Farida Farsian:
Inpainting via Generative Adversarial Networks for CMB data analysis. - Leopoldo Eduardo Cárdenas-Barrón, Rafael A. Melo:
A fast and effective MIP-based heuristic for a selective and periodic inventory routing problem in reverse logistics. - Ali Chouria, Vlad-Florin Dragoi, Jean-Gabriel Luque:
On recursively defined combinatorial classes and labelled trees. - Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets:
A single image deep learning approach to restoration of corrupted remote sensing products. - Aishwarya Jadhav:
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework. - Mason Youngblood:
Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017. - (Withdrawn) Ensemble Kalman Filter with perturbed observations in weather forecasting and data assimilation.
- Guofei Pang, Marta D'Elia, Michael L. Parks, George E. Karniadakis:
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications. - Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-enhanced machine learning for virtual fluorescence microscopy. - Marcus Volz, Marcus Brazil, Charl J. Ras, Doreen A. Thomas:
Computing skeletons for rectilinearly-convex obstacles in the rectilinear plane. - Xulong Zhang, Yongwei Gao, Yi Yu, Wei Li:
Music Artist Classification with WaveNet Classifier for Raw Waveform Audio Data. - Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman:
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications. - Mizuho Nishio, Sho Koyasu, Shunjiro Noguchi, Takao Kiguchi, Kanako Nakatsu, Thai Akasaka, Hiroki Yamada, Kyo Itoh:
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model. - Toshinari Morimoto, Su-Yun Huang:
TensorProjection Layer: A Tensor-Based Dimensionality Reduction Method in CNN. - Woo-Seok Lee, Hyunjae Kim, Andrew N. Cleland, Kang-Hun Ahn:
Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network. - Fernando A. Morales, Jorge M. Ramírez, Edgar A. Ramos:
A Mathematical Assessment of the Isolation Tree Method for Data Anomaly Detection in Big Data. - Mario Román:
Open Diagrams via Coend Calculus. 65-78 - Pranav Kairon, Kishore Thapliyal, R. Srikanth, Anirban Pathak:
Noisy three-player dilemma game: Robustness of the quantum advantage. - Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse:
Mapping county-level mobility pattern changes in the United States in response to COVID-19. - Lexing Ying:
Mirror Descent Algorithms for Minimizing Interacting Free Energy. - Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan:
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. - Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao:
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. - Ivan Vishniakou, Johannes D. Seelig:
Adaptive optics with reflected light and deep neural networks. - Jieyu Cheng, Adrian V. Dalca, Bruce Fischl, Lilla Zöllei:
Cortical surface registration using unsupervised learning. - Neerav Karani, Krishna Chaitanya, Ender Konukoglu:
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. - Alex Bocharov, Michael H. Freedman, Eshan Kemp, Martin Roetteler, Krysta M. Svore:
Predicting human-generated bitstreams using classical and quantum models. - Shripad Gade, Ji Liu, Nitin H. Vaidya:
A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations. - Justin Khim, Ziyu Xu, Shashank Singh:
Multiclass Classification via Class-Weighted Nearest Neighbors. - Matthew F. Dixon:
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks. - Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan:
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Advancing Speech Synthesis using EEG. - Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci:
Capsules for Biomedical Image Segmentation. - Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, Dong-Ling Deng:
Topological Quantum Compiling with Reinforcement Learning. - Tengyuan Liang, Hai Tran-Bach:
Mehler's Formula, Branching Process, and Compositional Kernels of Deep Neural Networks. - Jianyuan Deng, Zhibo Yang, Yao Li, Dimitris Samaras, Fusheng Wang:
Towards Better Opioid Antagonists Using Deep Reinforcement Learning. - Ling-Wei Kong, Ying-Cheng Lai:
Scaling law of transient lifetime of chimera states under dimension-augmenting perturbations. - Bernhard Reinke, Dierk Schleicher, Michael Stoll:
The Weierstrass root finder is not generally convergent. - Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen S. Baek:
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. - Hidekazu Yoshioka, Yuta Yaegashi, Motoh Tsujimura:
A random observation-based management model of population dynamics and its ecological application. - Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath:
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. - Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser:
Full Law Identification In Graphical Models Of Missing Data: Completeness Results. - Jacob Levy Abitbol, Márton Karsai:
Socioeconomic correlations of urban patterns inferred from aerial images: interpreting activation maps of Convolutional Neural Networks. - Jakub Konieczny, Mariusz Lemanczyk, Clemens Müllner:
Multiplicative automatic sequences. - Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier:
Tensor Decompositions for temporal knowledge base completion. - Asif Iqbal Khan, Junaid Latief Shah, Mudasir Bhat:
CoroNet: A Deep Neural Network for Detection and Diagnosis of Covid-19 from Chest X-ray Images. - Rogers Mathew, Tapas Kumar Mishra, Ritabrata Ray, Shashank Srivastava:
Modular and fractional L-intersecting families of vector spaces. - Xing Shi Cai, Guillem Perarnau:
The giant component of the directed configuration model revisited. - Yo Joong Choe, Jiyeon Ham, Kyubyong Park:
An Empirical Study of Invariant Risk Minimization. - Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios:
Weakly supervised multiple instance learning histopathological tumor segmentation. - Aritra Sarkar, Zaid Al-Ars, Koen Bertels:
QuASeR - Quantum Accelerated De Novo DNA Sequence Reconstruction. - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchronous Decentralized Learning of a Neural Network. - Dalia Ezzat, Aboul Ella Hassanien, Hassan Aboul Ella:
GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm. - Arian Houshmand, Christos G. Cassandras, Nan Zhou, Nasser Hashemi, Boqi Li, Huei Peng:
Combined Eco-Routing and Power-Train Control of Plug-In Hybrid Electric Vehicles in Transportation Networks. - Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli:
Output-Lifted Learning Model Predictive Control for Flat Systems. - Markus Kühbach, Priyanshu Bajaj, Murat Han Celik, Eric Aimo Jägle, Baptiste Gault:
On Strong Scaling and Open Source Tools for Analyzing Atom Probe Tomography Data. - Austin Talbot, David B. Dunson, Kafui Dzirasa, David E. Carlson:
Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity. - Martin Fränzl, Frank Cichos:
Convolutional Neural Networks for Real-Time Localization and Classification in Feedback Digital Microscopy. - Yu-An Chung, James R. Glass:
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding. - Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam:
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. - Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell:
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds. - Masaaki Harada:
On the existence of s-extremal singly even self-dual codes. - Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. - Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto:
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. - Alex Cameron, Gregory J. Puleo:
A lower bound on the saturation number, and graphs for which it is sharp. - Arash Ashtari:
The Role of Stem Noise in Visual Perception and Image Quality Measurement. - Filipe Rodrigues:
Scaling Bayesian inference of mixed multinomial logit models to very large datasets. - Sen Lin, Kaichen Chi:
Underwater Image Enhancement Based on Structure-Texture Reconstruction. - Muhammad Ilyas, Hina Rehman, Amine Naït-Ali:
Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review. - Giovanni Bonaccorsi, Francesco Pierri, Matteo Cinelli, Francesco Porcelli, Alessandro Galeazzi, Andrea Flori, Ana Lucía Schmidt, Carlo Michele Valensise, Antonio Scala, Walter Quattrociocchi, Fabio Pammolli:
Evidence of economic segregation from mobility lockdown during COVID-19 epidemic. - Han Lin Aung, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon:
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks. - Alper T. Erdogan, Cengiz Pehlevan:
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules. - Chiara Sorgentone, Petia M. Vlahovska:
Electrohydrodynamic interactions of drop pairs. - Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment. - Christian Caamaño-Carrillo, Manuel González-Navarrete:
The Monty Hall problem revisited. - Oliver Werner, Kimberlin M. H. van Wijnen, Wiro J. Niessen, Marius de Groot, Meike W. Vernooij, Florian Dubost, Marleen de Bruijne:
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans. - Aleksandr Cariow, Galina Cariowa:
Minimal Filtering Algorithms for Convolutional Neural Networks. - Hannes Wallimann, David Imhof, Martin Huber:
A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels. - Tai-Danae Bradley:
At the Interface of Algebra and Statistics. - Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers. - Xiaocong Chen, Lina Yao, Yu Zhang:
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. - Jianyuan Yu, William W. Howard, Daniel Tait, R. Michael Buehrer:
Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks. - Sharmin Pathan, Anant Tripathi:
Y-net: Biomedical Image Segmentation and Clustering. - Wenyang Lyu, Shibabrat Naik, Stephen Wiggins:
Elementary exposition of realizing phase space structures relevant to chemical reaction dynamics. - Eduardo José da S. Luz, Pedro Henrique Lopes Silva, Rodrigo Silva, Ludmila Silva, Gladston Moreira, David Menotti:
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images. - Kumar Vijay Mishra, Satish Mulleti, Yonina C. Eldar:
RaSSteR: Random Sparse Step-Frequency Radar. - Lavanya Umapathy, Mahesh Bharath Keerthivasan, Jean-Philippe Galons, Wyatt Unger, Diego R. Martín, Maria I. Altbach, Ali Bilgin:
A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images. - Yujin Oh, Sangjoon Park, Jong Chul Ye:
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets. - Jirong Yi, Raghu Mudumbai, Weiyu Xu:
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments. - Ahmad Ghasemi, Foad Ghasemi:
Multi-Objective Channel Allocation in Cognitive Radio Networks. - Kun Wang, Jun He, Lei Zhang:
Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. - Albert Fannjiang, Thomas Strohmer:
The Numerics of Phase Retrieval. - Haoran Li, Weihong Quan, Meijun Yan, Jin Zhang, Xiaoli Gong, Jin Zhou:
Multi-modal Datasets for Super-resolution. - Gokul H, Prithvi Suresh, Hari Vignesh Baskar, Pravin Kumaar R, Vineeth Vijayaraghavan:
Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms. - Lotta Meijerink, Giovanni Ciná, Michele Tonutti:
Uncertainty estimation for classification and risk prediction in medical settings. - Hyeong-Seok Choi, Changdae Park, Kyogu Lee:
From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech. - Justin Salez:
A sharp log-Sobolev inequality for the multislice. - Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen:
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface. - Sabira El Khalfaoui, Gábor Péter Nagy:
Estimating The Dimension Of The Subfield Subcodes of Hermitian Codes. - Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Adversarial robustness guarantees for random deep neural networks. - Antoine Mottet, Michael Pinsker:
Cores over Ramsey structures. - Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse:
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. - Min Ye:
Exact recovery and sharp thresholds of Stochastic Ising Block Model. - Madson Luiz Dantas Dias, César Lincoln C. Mattos, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington C. P. Silva:
Anomaly Detection in Trajectory Data with Normalizing Flows. - Bahman Mirheidari, Yilin Pan, Daniel Blackburn, Ronan O'Malley, Traci Walker, Annalena Venneri, Markus Reuber, Heidi Christensen:
Data augmentation using generative networks to identify dementia. - Takeyuki Sasai, Hironori Fujisawa:
Robust estimation with Lasso when outputs are adversarially contaminated. - Pallav Kumar Bera, Can Isik, Vajendra Kumar:
Discrimination of Internal Faults and Other Transients in an Interconnected System with Power Transformers and Phase Angle Regulators. - Paulin Jacquot:
DLMP-based Coordination Procedure for Decentralized Demand Response under Distribution Network Constraints. - Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones:
K-spin Hamiltonian for quantum-resolvable Markov decision processes. - Afiya Ayman, Michael Wilbur, Amutheezan Sivagnanam, Philip Pugliese, Abhishek Dubey, Aron Laszka:
Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets. - Mohamadreza Jafaryani, Saeed Khorram, Vahid Pourahmadi, Minoo Shahbazi:
Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features. - Hamad Ahmed, Ronnie B. Wilbur, Hari M. Bharadwaj, Jeffrey Mark Siskind:
Object classification from randomized EEG trials. - Kerui Li, Albert Ting Leung Lee, Siew-Chong Tan, Ron Shu-Yuen Hui:
Highly-Efficient Single-Switch-Regulated Resonant Wireless Power Receiver with Hybrid Modulation. - Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis:
Emergent spaces for coupled oscillators. - Hussein Hazimeh, Rahul Mazumder, Ali Saab:
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization. - Wei Zhou, Qiuping Jiang, Yuwang Wang, Zhibo Chen, Weiping Li:
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks. - Rebecca E. Morrison, Americo Cunha Jr.:
Embedded model discrepancy: A case study of Zika modeling. - Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara:
Classifying CMB time-ordered data through deep neural networks. - Geoffrey J. McLachlan, Daniel Ahfock:
Estimation of Classification Rules from Partially Classified Data. - Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen:
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. - Devendra Singh Gurjar, Ha H. Nguyen, Hoang Duong Tuan:
Wireless Information and Power Transfer for IoT Applications in Overlay Cognitive Radio Networks. - Sricharan Vijayarangan, Prithvi Suresh, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Robust Modelling of Reflectance Pulse Oximetry for SpO2 Estimation. - Victorita Dolean, Pierre Jolivet, Stéphane Operto, Pierre-Henri Tournier:
Iterative frequency-domain seismic wave solvers based on multi-level domain-decomposition preconditioners. - Yivan Zhang, Nontawat Charoenphakdee, Zhenguo Wu, Masashi Sugiyama:
Learning from Aggregate Observations. - (Withdrawn) Two-stage model and optimal SI-SNR for monaural multi-speaker speech separation in noisy environment.
- Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe, Prakash S. Prasad:
Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network. - Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth:
Transformer based Grapheme-to-Phoneme Conversion. - Dulce I. Valdivia, Manuela Geiß, Maribel Hernández-Rosales, Peter F. Stadler, Marc Hellmuth:
Hierarchical and Modularly-Minimal Vertex Colorings. - Mo Deng, Shuai Li, Iksung Kang, Nicholas X. Fang, George Barbastathis:
On the interplay between physical and content priors in deep learning for computational imaging. - Onur Tasar, Yuliya Tarabalka, Alain Giros, Pierre Alliez, Sébastien Clerc:
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization. - Hemlata Tak, Jose Patino, Andreas Nautsch, Nicholas W. D. Evans, Massimiliano Todisco:
An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification. - Aleksandrs Belovs, Troy Lee:
The quantum query complexity of composition with a relation. - Yiwei Wang, Jiuhai Chen, Lulu Kang, Chun Liu:
Particle-based Energetic Variational Inference. - Maryam Rahbaralam, Amir Abdollahi, Daniel Fernàndez-Garcia, Xavier Sanchez-Vila:
Stochastic modeling of non-linear adsorption with Gaussian kernel density estimators. - Huimin Peng:
Measurement Error in Nutritional Epidemiology: A Survey. - Nick Wilkinson, Astik Biswas, Emre Yilmaz, Febe de Wet, Ewald van der Westhuizen, Thomas R. Niesler:
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech. - Tomoko Nagai:
The covariance matrix of Green's functions and its application to machine learning. - Lynda Bouzid Khiri, Ibrahima Gueye, Hubert Naacke, Idrissa Sarr, Stéphane Gançarski:
A Malaria Control Model Using Mobility Data: An Early Explanation of Kedougou's Case in Senegal. - J. C. S. Kadupitiya, Geoffrey C. Fox, Vikram Jadhao:
Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks. - Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis:
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. - Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan:
Learning a low dimensional manifold of real cancer tissue with PathologyGAN. - Cezar-Mihail Alexandru, Ella Bridgett-Tomkinson, Noah Linden, Joseph MacManus, Ashley Montanaro, Hannah Morris:
Quantum speedups of some general-purpose numerical optimisation algorithms. - Matthew Bold, Marc Goerigk:
A compact reformulation of the two-stage robust resource-constrained project scheduling problem. - Vincent Schellekens, Laurent Jacques:
Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines. - Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Latent Bayesian Inference for Robust Earnings Estimates. - Abhik Ghosh, Rita SahaRay, Sayan Chakrabarty, Sayan Bhadra:
Robust Generalised Quadratic Discriminant Analysis. - Benedikt Ahrens, Paige Randall North, Michael Shulman, Dimitris Tsementzis:
A Higher Structure Identity Principle. - Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khandakar Reajul Islam, Khandaker F. Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem:
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. - Florian Denk, Birger Kollmeier:
The Hearpiece database of individual transfer functions of an openly available in-the-ear earpiece for hearing device research. - Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli:
On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems. - Yuan Zhang, Dong Xia:
Edgeworth expansions for network moments. - Thibaut Théate, Damien Ernst:
An Application of Deep Reinforcement Learning to Algorithmic Trading. - Chaitanya Poolla, Abraham K. Ishihara, Dan Liddell, Rodney Martin, Steven Rosenberg:
Occupant Plugload Management for Demand Response in Commercial Buildings: Field Experimentation and Statistical Characterization. - Tongxue Zhou, Stéphane Canu, Su Ruan:
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. - Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson:
End-to-End Variational Networks for Accelerated MRI Reconstruction. - Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang:
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images. - Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi:
Quantization Analysis and Robust Design for Distributed Graph Filters. - Roman Krzanowski:
Does purely physical information have meaning? A comment on Carlo Rovelli's paper: Meaning = information + evolution [arXiv: 1611.02420]. - Tae Jin Park, Kyu Jeong Han, Jing Huang, Xiaodong He, Bowen Zhou, Panayiotis G. Georgiou, Shrikanth Narayanan:
Speaker Diarization with Lexical Information. - Gideon Billings, Eduardo Iscar, Matthew Johnson-Roberson:
Parametric Design of Underwater Optical Systems. - Sara Gunnarsson, José Flordelis, Liesbet Van der Perre, Fredrik Tufvesson:
Channel Hardening in Massive MIMO: Model Parameters and Experimental Assessment. - Dan Reznik, Ronaldo Garcia:
The Circumbilliard: Any Triangle can be a 3-Periodic. - Lee J. O'Riordan, Myles Doyle, Fabio Baruffa, Venkatesh Kannan:
A hybrid classical-quantum workflow for natural language processing. - Hasib Zunair, A. Ben Hamza:
Melanoma Detection using Adversarial Training and Deep Transfer Learning. - Saturnino Luz, Fasih Haider, Sofia de la Fuente, Davida Fromm, Brian MacWhinney:
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge. - Narayanan Rengaswamy:
Classical Coding Approaches to Quantum Applications. - Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson:
Mosaic Super-resolution via Sequential Feature Pyramid Networks. - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael Kai Tsun To, Zhen Qian, Demetri Terzopoulos:
Analysis of Scoliosis From Spinal X-Ray Images. - Luís Tarrataca, Clauda M. Dias, Diego Barreto Haddad, Edilson F. Arruda:
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi. - D. Sabari Nathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images. - Hakima Bessaih, Annie Millet:
Space-time Euler discretization schemes for the stochastic 2D Navier-Stokes equations. - Lorenzo Rimella, Nick Whiteley:
Dynamic Bayesian Neural Networks. - Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai:
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations. - Clément Luneau, Nicolas Macris, Jean Barbier:
High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case. - Benjamin Sanderse, J. F. H. Buist, R. A. W. M. Henkes:
A novel pressure-free two-fluid model for one-dimensional incompressible multiphase flow. - Wiem Abderrahim, Osama Amin, Mohamed-Slim Alouini, Basem Shihada:
Latency-Aware Offloading in Integrated Satellite Terrestrial Networks. - Atmadeep Banerjee, Akash Palrecha:
MXR-U-Nets for Real Time Hyperspectral Reconstruction. - Edward Ferdian, Avan Suinesiaputra, David J. Dubowitz, Debbie Zhao, Alan Wang, Brett R. Cowan, Alistair A. Young:
4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid Dynamics. - Michelle Feng, Abigail Hickok, Yacoub H. Kureh, Mason A. Porter, Chad M. Topaz:
Connecting the Dots: Discovering the "Shape" of Data. - David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi:
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. - Hristos Tyralis, Georgia Papacharalampous:
Boosting algorithms in energy research: A systematic review. - Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. - Keita Ishizuka:
Classification of optimal quaternary Hermitian LCD codes of dimension 2. - Edward Ferdian, Avan Suinesiaputra, Kenneth Fung, Nay Aung, Elena Lukaschuk, Ahmet Barutcu, Edd Maclean, José Miguel Paiva, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alistair A. Young:
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank. - Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy:
Image Segmentation Using Hybrid Representations. - Tom Hartmann, Max Bannach, Martin Middendorf, Peter F. Stadler, Nicolas Wieseke, Marc Hellmuth:
Complete Edge-Colored Permutation Graphs. - Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu:
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder. - Michail Matthaiou, Okan Yurduseven, Hien Quoc Ngo, David Morales-Jiménez, Simon L. Cotton, Vincent F. Fusco:
The Road to 6G: Ten Physical Layer Challenges for Communications Engineers. - Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou:
Residual-driven Fuzzy C-Means Clustering for Image Segmentation. - Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
On Linear Optimization over Wasserstein Balls. - Jonas Latz:
Analysis of Stochastic Gradient Descent in Continuous Time. - Erik Tillberg, Peter Marbach, Ravi Mazumdar:
Optimal Bidding Strategies for Online Ad Auctions with Overlapping Targeting Criteria. - Abbas Cheddad:
On Box-Cox Transformation for Image Normality and Pattern Classification. - Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Martin Costabel, Monique Dauge, Jun-Qi Hu:
Characterization of Sobolev spaces by their Fourier coefficients in axisymmetric domains. - Deisy Morselli Gysi, Ítalo Do Valle, Marinka Zitnik, Asher Ameli, Xiao Gan, Onur Varol, Helia Sanchez, Rebecca Marlene Baron, Dina Ghiassian, Joseph Loscalzo, Albert-László Barabási:
Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19. - Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara, Mehdi Soleimanifar:
Sample-efficient learning of quantum many-body systems. - Lorenzo Lucchini, Laura Alessandretti, Bruno Lepri, Angela Gallo, Andrea Baronchelli:
From code to market: Network of developers and correlated returns of cryptocurrencies. - Martin Hughes, Marc Goerigk, Trivikram Dokka:
Automatic Generation of Algorithms for Black-Box Robust Optimisation Problems. - Michael Habeck, Daniel Rudolf, Björn Sprungk:
Stability of doubly-intractable distributions. - Alaa Awad Abdellatif, Amr Mohamed, Carla-Fabiana Chiasserini, Mounira Tlili, Aiman Erbad:
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges. - Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring:
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. - Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe:
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. - Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore:
F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder. - Brian Lucena:
Exploiting Categorical Structure Using Tree-Based Methods. - Mi Zhang, Ali Siahkoohi, Felix J. Herrmann:
Transfer learning in large-scale ocean bottom seismic wavefield reconstruction. - Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann:
Extended source imaging, a unifying framework for seismic & medical imaging. - Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh:
Representation Learning of Histopathology Images using Graph Neural Networks. - Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare, Pengyu Yuan, Mohammadsajad Abavisani, Carol C. Wu, Jitesh Ahuja, Patricia M. de Groot, Hien Van Nguyen:
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks. - Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken:
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. - Akram Shafie, Nan Yang, Zhuo Sun, Salman Durrani:
Coverage Analysis for 3D Terahertz Communication Systems with Blockage and Directional Antennas. - Akram Shafie, Nan Yang, Chong Han:
Multi-Connectivity for Indoor Terahertz Communication with Self and Dynamic Blockage. - Avik Sarkar, Dean Lee:
Convergence of Eigenvector Continuation. - Xiao Liang, Dan Nguyen, Steve B. Jiang:
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion. - Christian Arnold, Marcel Neunhoeffer:
Really Useful Synthetic Data - A Framework to Evaluate the Quality of Differentially Private Synthetic Data. - Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider:
Blur Aware Calibration of Multi-Focus Plenoptic Camera. - Mostafa Karimi, Arman Hasanzadeh, Yang Shen:
Network-principled deep generative models for designing drug combinations as graph sets. - Yang Ai, Zhen-Hua Ling:
Knowledge-and-Data-Driven Amplitude Spectrum Prediction for Hierarchical Neural Vocoders. - Sébastien Bubeck, Sitan Chen, Jerry Li:
Entanglement is Necessary for Optimal Quantum Property Testing. - Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, Felix J. Herrmann:
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization. - Néstor García-Chan, Lino J. Alvarez-Vázquez, Aurea Martínez, Miguel E. Vázquez-Méndez:
Optimal control of atmospheric pollution because of urban traffic flow by means of Stackelberg strategies. - Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza, Alessandro Vezzani:
Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks. - Kyle A. Hilburn, Imme Ebert-Uphoff, Steven D. Miller:
Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations. - Ramin Jafari, Pascal Spincemaille, Jinwei Zhang, Thanh D. Nguyen, Martin R. Prince, Xianfu Luo, Junghun Cho, Daniel Margolis, Yi Wang:
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training. - Shai Evra, Tali Kaufman, Gilles Zémor:
Decodable quantum LDPC codes beyond the √n distance barrier using high dimensional expanders. - Syed Muhammad Usman, Shahzad Latif, Arshad Beg:
Principle components analysis for seizures prediction using wavelet transform. - Simone Raponi, Isra Mohamed Ali, Gabriele Oligeri:
Sound of Guns: Digital Forensics of Gun Audio Samples meets Artificial Intelligence. - Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya:
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS. - Tifani Warnita, Mariana Rodrigues Makiuchi, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto:
Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. - Daisuke Inoue, Hiroaki Yoshida:
Optimal Coverage Control for Swarm Robot Systems using a Mean Field Game. - Daniel Sanz-Alonso, Ruiyi Yang:
The SPDE Approach to Matérn Fields: Graph Representations. - Takashi Minoshima, Keiichi Kitamura, Takahiro Miyoshi:
A Multistate Low-dissipation Advection Upstream Splitting Method for Ideal Magnetohydrodynamics. - Yang Liu, Kai Sun:
Differential Transformation of Nonlinear Power Flow Equations. - Mohammad Rahimzadeh, Abolfazl Attar:
A New Modified Deep Convolutional Neural Network for Detecting COVID-19 from X-ray Images. - Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. - Ruxin Wang, Shuyuan Chen, Jianping Fan, Ye Li:
Cascaded Context Enhancement for Automated Skin Lesion Segmentation. - Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta, Tomi Westerlund:
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation. - (Withdrawn) LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification.
- Laura Aquilanti, Simone Cacace, Fabio Camilli, Raul De Maio:
A Mean Field Games model for finite mixtures of Bernoulli distributions. - Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring:
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy. - Nathanaël Perraudin, Sandro Marcon, Aurélien Lucchi, Tomasz Kacprzak:
Emulation of cosmological mass maps with conditional generative adversarial networks. - Carsten Schneider, Wadim Zudilin:
A case study for ζ(4). - Wang Shule, Carmen Martínez Almansa, Jorge Peña Queralta, Zhuo Zou, Tomi Westerlund:
UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey. - Shahar Somin, Goren Gordon, Alex Pentland, Erez Shmueli, Yaniv Altshuler:
ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions. - Tam Tran-The:
Modeling Institutional Credit Risk with Financial News. - Marco Paggi:
Simulation of Covid-19 epidemic evolution: are compartmental models really predictive? - Nikolay Markov, Evgeny Ivanko:
"Perchance to dream?": Assessing effect of dispersal strategies on the fitness of expanding populations. - Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants. - Xu Cao, Yanghao Lin:
CAggNet: Crossing Aggregation Network for Medical Image Segmentation. - Mathew J. Cherukara, Tao Zhou, Youssef S. G. Nashed, Pablo Enfedaque, Alex Hexemer, Ross J. Harder, Martin V. Holt:
Real-time sparse-sampled Ptychographic imaging through deep neural networks. - Chirayata Bhattacharya, Sourya Sengupta, Sayan Nag, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
From Speech to Recital - A case of phase transition? A non-linear study. - George Sterpu, Christian Saam, Naomi Harte:
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition. - Alberto Natali, Elvin Isufi, Geert Leus:
Forecasting Multi-Dimensional Processes over Graphs. - Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Mathieu Brévilliers, Lhassane Idoumghar:
Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem. - Shaocheng Huang, Yu Ye, Ming Xiao:
Learning Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems. - Lama Alfaseeh, Ran Tu, Bilal Farooq, Marianne Hatzopoulou:
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning. - Jyotibdha Acharya, Arindam Basu:
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning. - Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. - Anastasia Bugaenko:
Empirical Study of Market Impact Conditional on Order-Flow Imbalance. - Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. - Emre Arslan, Ali Tugberk Dogukan, Ertugrul Basar:
Index Modulation-Based Flexible Non-Orthogonal Multiple Access. - Chenglin Xu, Wei Rao, Eng Siong Chng, Haizhou Li:
SpEx: Multi-Scale Time Domain Speaker Extraction Network. - Emre Arslan, Ali Tugberk Dogukan, Ertugrul Basar:
Sparse-Encoded Codebook Index Modulation. - Alexey A. Koloydenko, Kristi Kuljus, Jüri Lember:
MAP segmentation in Bayesian hidden Markov models: a case study. - Sergio Vitale, Giampaolo Ferraioli, Vito Pascazio:
Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm. - Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani:
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. - Lukas Burgholzer, Robert Wille:
Advanced Equivalence Checking for Quantum Circuits. - Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Hervé Poilvé, Guillaume Rieu, Jean-Yves Tourneret:
Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops. - Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya:
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. - Igor Carvalho, Tiago Andrade, Joaquim Dias Garcia, Maria de Lujan Latorre:
Application of Progressive Hedging to Var Expansion Planning Under Uncertainty. - Michael Shulman:
*-autonomous envelopes. 175-194 - Maryam Shabanighazikelayeh, Erdem Koyuncu:
Optimal UAV Deployment for Rate Maximization in IoT Networks. - Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep:
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig. - Laigang Guo, Chun-Ming Yuan, Xiao-Shan Gao:
Prove Costa's Entropy Power Inequality and High Order Inequality for Differential Entropy with Semidefinite Programming. - Ahmed Guecioueur, Franz J. Király:
Kernels for time series with irregularly-spaced multivariate observations. - Yang Zhao:
A Survey of 6G Wireless Communications: Emerging Technologies. - Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Baocai Yin:
A Comprehensive Survey on Traffic Prediction. - Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A New Smoothing Algorithm for Jump Markov Linear Systems. - Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
A Variational Expectation-Maximisation Algorithm for Learning Jump Markov Linear Systems. - Mark P. Balenzuela, Adrian G. Wills, Christopher Renton, Brett Ninness:
Bayesian Parameter Identification for Jump Markov Linear Systems. - Sudeep Kondal, Viraj Kulkarni, Ashrika Gaikwad, Amit Kharat, Aniruddha Pant:
Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks. - Denise D. Tönissen, Loe Schlicher:
Using 3D-printing in disaster response: The two-stage stochastic 3D-printing knapsack problem. - Ananya Uppal, Shashank Singh, Barnabás Póczos:
Robust Density Estimation under Besov IPM Losses. - Koorosh Shomalzadeh, Jacquelien M. A. Scherpen, M. Kanat Camlibel:
A Convex Formulation of a Bilevel Optimization Problem for Energy Markets. - Yat Tin Chow, Ali Pakzad:
On the zeroth law of turbulence for the stochastically forced Navier-Stokes equations. - Kwangjun Ahn, Suvrit Sra:
On Tight Convergence Rates of Without-replacement SGD. - Yue Sun:
A short note on solving box inequality and linear equality constrained optimization problem. - Jacob Bringewatt, Michael Jarret:
Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians. - Hamed Sadeghi, Shahram Shirani, David W. Capson:
A fast semi-automatic method for classification and counting the number and types of blood cells in an image. - Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri:
Protecting Classifiers From Attacks. A Bayesian Approach. - Antony Pearson, Manuel E. Lladser:
Hidden independence in unstructured probabilistic models. - Peter Frankl, Andrey Kupavskii:
Almost intersecting families. - Peter Frankl, Andrey Kupavskii:
Maximal degrees in subgraphs of Kneser graphs. - Peter Frankl, Andrey Kupavskii:
Intersection theorems for (-1, 0, 1)-vectors. - Jian Ma:
Predicting MMSE Score from Finger-Tapping Measurement. - Joshua Bassey, Xiangfang Li, Lijun Qian:
Device Authentication Codes based on RF Fingerprinting using Deep Learning. - Alper Atamtürk, Andrés Gómez:
Safe Screening Rules for 𝓁0-Regression. - Ali Hariri, Kamran Alipour, Yash Mantri, Jürgen P. Schulze, Jesse V. Jokerst:
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging. - Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. - Thi Altenschmidt:
Verteilung der Primzahlen und Asymptotik bezüglich der Kongruenzen der rationalen Punkte auf elliptischen Kurven über einem endlichen Körper. - Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey. - Mateus Dias Ribeiro, Abdul Rehman, Sheraz Ahmed, Andreas Dengel:
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks. - Michael J. Heyns, C. T. Gaunt, S. I. Lotz, Pierre J. Cilliers:
Data Driven Transfer Functions and Transmission Network Parameters for GIC Modelling. - Rohan Kumar Das, Xiaohai Tian, Tomi Kinnunen, Haizhou Li:
The Attacker's Perspective on Automatic Speaker Verification: An Overview. - Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski:
Superkernel Neural Architecture Search for Image Denoising. - Johannes Ruf, Weiguan Wang:
Hedging with Neural Networks. - Brian Jabarian:
The Moral Burden of Ambiguity Aversion. - Abd AlRahman R. AlMomani, Erik M. Bollt:
Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19. - Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab:
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification. - Stephan Leitner:
On the dynamics emerging from pandemics and infodemics. - Jonas Kornprobst, Josef Knapp, Raimund A. M. Mauermayer, Ole Neitz, Alexander Paulus, Thomas F. Eibert:
Accuracy and Conditioning of Surface-Source Based Near-Field to Far-Field Transformations. - Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Mechanism Design with Bandit Feedback. - Sebastián Salazar-Colores, Hugo Alberto-Moreno, César Javier Ortiz Echeverri, Gerardo Flores:
Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channel. - Min Gao, Yukun Guo, Tristan T. Hormel, Jiande Sun, Thomas S. Hwang, Yali Jia:
Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning. - Prajval Koul:
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images. - Daniil Merkulov, Ivan V. Oseledets:
Stochastic gradient algorithms from ODE splitting perspective. - Edward Farhi, David Gamarnik, Sam Gutmann:
The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case. - Arshia Rehman, Saeeda Naz, Imran Razzak:
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities. - Ammar Hakim, James Juno:
Alias-free, matrix-free, and quadrature-free discontinuous Galerkin algorithms for (plasma) kinetic equations. - Peter C. Jentsch, Chrystopher L. Nehaniv:
Exploring Tetris as a Transformation Semigroup. - Rajnish Kumar, Kriti Manocha, Josue Ortega:
On the integration of Shapley-Scarf housing markets. - Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Matheus de Almeida, Pedro H. J. Nardelli, Dick Carrillo, Jean Michel de Souza Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas:
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning. - Florenc Demrozi, Graziano Pravadelli, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. - Fredrik Bagge Carlson, Mandar A. Chitre:
New Metrics Between Rational Spectra and their Connection to Optimal Transport. - Daesung Yu, Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai:
Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems. - Renato Vizuete, Federica Garin, Paolo Frasca:
The Laplacian Spectrum of Large Graphs Sampled from Graphons. - Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies:
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. - Sebastian M. Cioaba:
Eigenvalues of graphs and spectral Moore theorems. - (Withdrawn) A power APN function CCZ-equivalent to Kasami function in even dimension.
- Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Predictability of Power Grid Frequency. - Hamed Taghavian:
A fast algorithm for computing Bell polynomials based on index break-downs using prime factorization. - L. G. S. Duarte, L. A. C. P. da Mota:
An Efficient Method for Computing Liouvillian First Integrals of Planar Polynomial Vector Fields. - Nicolás García Trillos, Ryan Murray, Matthew Thorpe:
From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds. - Jordan Snyder, Weiran Cai, Raissa M. D'Souza:
Degree-targeted cascades in modular, degree-heterogeneous networks. - Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. - Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros:
Estimating Ising Models from One Sample. - Liming Zhang:
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. - Jack D. Betteridge, Thomas H. Gibson, Ivan G. Graham, Eike Hermann Müller:
Multigrid preconditioners for the hybridized Discontinuous Galerkin discretisation of the shallow water equations. - Kun Wang, WaiChing Sun, Qiang Du:
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks. - Anwaar Ulhaq, Asim Khan, Douglas P. S. Gomes, Manoranjan Paul:
Computer Vision for COVID-19 Control: A Survey. - Sartaj Ul Hasan, Mohit Pal:
Quasi-planar monomials over finite fields. - Vijay Veerabadran, Reza Pourreza, AmirHossein Habibian, Taco Cohen:
Adversarial Distortion for Learned Video Compression. - Asad Khan, Eliu A. Huerta, Arnav Das:
Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers. - Arindrima Datta, Bhuvana Ramabhadran, Jesse Emond, Anjuli Kannan, Brian Roark:
Language-agnostic Multilingual Modeling. - Xingyu Zhou, Ness B. Shroff:
A Note on Load Balancing in Many-Server Heavy-Traffic Regime. - Shan Huang, William Klein, Harvey Gould:
Predicting nucleation near the spinodal in the Ising model using machine learning. - Michael Chinen, Felicia S. C. Lim, Jan Skoglund, Nikita Gureev, Feargus O'Gorman, Andrew Hines:
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric. - Soham R. Phade, Venkat Anantharam:
Black-Box Strategies and Equilibrium for Games with Cumulative Prospect Theoretic Players. - Harbir Antil, Thomas S. Brown, Deepanshu Verma, Mahamadi Warma:
Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case. - Matteo Cinelli, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, Michele Starnini:
Echo Chambers on Social Media: A comparative analysis. - Viet Lam Phung, Phan Huy Kinh, Anh Tuan Dinh, Quoc Bao Nguyen:
Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System. - Valeriy Vishnevskiy, Jonas Walheim, Sebastian Kozerke:
Deep variational network for rapid 4D flow MRI reconstruction. - Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain:
Self-Supervised Feature Extraction for 3D Axon Segmentation. - Bingling Wang, Qing Zhou:
Causal network learning with non-invertible functional relationships. - Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood:
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. - John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. - Henrique Buglia, Renato Rocha Lopes:
Shaping for Construction D Lattices. - Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo:
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification. - Lei Cheng, Liang Liu, Shuguang Cui:
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design. - Abd AlRahman R. AlMomani, Erik M. Bollt:
An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point. - Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. - Shaofeng Deng, Shuyang Ling, Thomas Strohmer:
Strong Consistency, Graph Laplacians, and the Stochastic Block Model. - Jinyoung Kim, Rémi Patriat, Jordan Kaplan, Oren Solomon, Noam Harel:
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI. - Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay P. Namboodiri, Subhashis Banerjee, Chetan Arora:
CovidAID: COVID-19 Detection Using Chest X-Ray. - Long Chen, Dorit Merhof:
MixNet: Multi-modality Mix Network for Brain Segmentation. - Gaetano Scebba, Giulia Da Poian, Walter Karlen:
Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea. - Haide Wang, Ji Zhou, Dong Guo, Yuanhua Feng, Weiping Liu, Changyuan Yu, Zhaohui Li:
Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link. - Dimitrios Kosmanos, Savvas Chatzisavvas, Antonios Argyriou, Leandros Maglaras:
Cooperative Speed Estimation of an RF Jammer in Wireless Vehicular Networks. - Georg A. Gottwald, Ian Melbourne:
Simulation of non-Lipschitz stochastic differential equations driven by α-stable noise: a method based on deterministic homogenisation. - Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn, Filippo Radicchi:
Defining and identifying the optimal embedding dimension of networks. - Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Algorithms for slate bandits with non-separable reward functions. - Samira Jaber, Wen Chen, Kunlun Wang, Jun Li:
Subcarrier Assignment and Power Allocation for SCMA Energy Efficiency. - Gilad Francis, Nick James, Max Menzies, Arjun Prakash:
Clustering volatility regimes for dynamic trading strategies. - Rémy Tuyéras:
A category theoretical argument for causal inference. - Nassim Dehouche:
Devolutionary genetic algorithms with application to the minimum labeling Steiner tree problem. - Zhonghao Zhang, Yipeng Liu, Jiani Liu, Fei Wen, Ce Zhu:
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing. - Seyma Yucer, Furkan Tektas, Mesih Veysi Kilinc, Ilyas Kandemir, Hasari Celebi, Yakup Genc, Yusuf Sinan Akgul:
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle. - Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. - Gaëtan Hadjeres, Léopold Crestel:
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation. - Marcel Bengs, Nils Gessert, Alexander Schlaefer:
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. - Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer:
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. - Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. - Maxime Cauchois, Suyash Gupta, John C. Duchi:
Knowing what you know: valid confidence sets in multiclass and multilabel prediction. - Tongyang Xu:
Non-Orthogonal Waveforms in Secure Communications. - Shakeel Raja:
Music Generation with Temporal Structure Augmentation. - Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Normalizing Flow Regression. - Manuel Baltieri:
A Bayesian perspective on classical control. - Jianping Lin, Dong Liu, Houqiang Li, Feng Wu:
M-LVC: Multiple Frames Prediction for Learned Video Compression. - Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath:
Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics. - T. J. Tsai:
Towards Linking the Lakh and IMSLP Datasets. - Hiroshi Hirai, Yuni Iwamasa:
A combinatorial algorithm for computing the rank of a generic partitioned matrix with 2×2 submatrices. - Nicolas Boullé, Efstathios G. Charalampidis, Patrick E. Farrell, Panayotis G. Kevrekidis:
Deflation-based Identification of Nonlinear Excitations of the 3D Gross-Pitaevskii equation. - Qingxu Fu, Xiaoguang Di, Yu Zhang:
Learning an Adaptive Model for Extreme Low-light Raw Image Processing. - Raúl Arias-Carrasco, Jeevan Giddaluru, Lucas E. Cardozo, Felipe Martins, Vinicius Maracaja-Coutinho, Helder I. Nakaya:
OUTBREAK: A user-friendly georeferencing online tool for disease surveillance. - Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. - Sanhita Basu, Sushmita Mitra, Nilanjan Saha:
Deep Learning for Screening COVID-19 using Chest X-Ray Images. - Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Jan Thorbecke, Felix J. Herrmann, Gerard Gorman:
Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito. - Ezequiel Smucler, Facundo Sapienza, Andrea Rotnitzky:
Efficient adjustment sets in causal graphical models with hidden variables. - Mengheng Xue, Samantha Kappagoda, David K. A. Mordecai:
Energy Disaggregation with Semi-supervised Sparse Coding. - Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. - Kartikay Gupta, Niladri Chatterjee:
Examining Lead-Lag Relationships In-Depth, With Focus On FX Market As Covid-19 Crises Unfolds. - Sam Coveney, Cesare Corrado, Caroline H. Roney, Daniel O'Hare, Steven E. Williams, Mark D. O'Neill, Steven A. Niederer, Richard H. Clayton, Jeremy E. Oakley, Richard D. Wilkinson:
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity. - Christopher Perry, Péter Vrana, Albert H. Werner:
The semiring of dichotomies and asymptotic relative submajorization. - Mohammad Shirvani, Georges Kesserwani, Paul Richmond:
Agent-based modelling of pedestrian responses during flood emergency: mobility behavioural rules and implications for flood risk analysis. - Werner Zellinger:
Moment-Based Domain Adaptation: Learning Bounds and Algorithms. - Stefan T. Radev, Marco D'Alessandro, Paul-Christian Bürkner, Ulf K. Mertens, Andreas Voss, Ullrich Köthe:
Amortized Bayesian model comparison with evidential deep learning. - Yi Cao:
The new methods for equity fund selection and optimal portfolio construction. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach. - Olga Polverino, Giovanni Zini, Ferdinando Zullo:
On certain linearized polynomials with high degree and kernel of small dimension. - Tongxue Zhou, Su Ruan, Stéphane Canu:
A review: Deep learning for medical image segmentation using multi-modality fusion. - Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista:
Spectrally Consistent UNet for High Fidelity Image Transformations. - Vishal Katariya, Mark M. Wilde:
Geometric distinguishability measures limit quantum channel estimation and discrimination. - Michaël Rakotobe, Delphine Ramalingom, Pierre-Henri Cocquet, Alain Bastide:
Modelling of flow through spatially varying porous media with application to topology optimization. - (Withdrawn) Eigendecomposition of Q in Equally Constrained Quadratic Programming.
- Ahmad Bin Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze:
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. - Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi:
Fast Quantum Algorithm for Learning with Optimized Random Features. - Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
Automatic Polyp Segmentation Using Convolutional Neural Networks. - Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov:
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription. - Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl:
A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. - Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth:
Tracing locally Pareto optimal points by numerical integration. - Tomoki Koriyama, Hiroshi Saruwatari:
Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit. - Martin Chatton:
Microscopy Image Restoration using Deep Learning on W2S. - Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets:
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. - Avishek Ghosh, Kannan Ramchandran:
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. - Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi:
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage. - Saman Atapattu, Hazer Inaltekin, Jamie S. Evans:
Location-Based Optimum Cooperative Relay Selection in Spatial Wireless Networks. - Shaobo Xia, Jingwei Song, Dong Chen, Jun Wang:
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation. - Isarun Chamveha, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon:
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study. - Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo:
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing. - Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. - Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess:
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. - Yu Gu, Xiang Yin, Yonghui Rao, Yuan Wan, Benlai Tang, Yang Zhang, Jitong Chen, Yuxuan Wang, Zejun Ma:
ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders. - Shrey Dabhi, Kartavya Soni, Utkarsh Patel, Priyanka Sharma, Manojkumar Parmar:
Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms. - Wadim Zudilin:
Diophantine problems related to the Omega constant. - María Santamaría, Saverio G. Blasi, Ebroul Izquierdo, Marta Mrak:
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression. - Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat:
Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck. - Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe:
A Kernel Two-sample Test for Dynamical Systems. - Takahiro Yabe, Yunchang Zhang, Satish V. Ukkusuri:
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach. - Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond. - Sarah O. M. Saeed, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Mohammed T. Alresheedi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Beam Blockage in Optical Wireless Systems. - Ondrej Mokrý, Pavel Rajmic, Pavel Záviska:
Flexible framework for audio restoration. - Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl:
Multi-Objective Counterfactual Explanations. - Victor A. Campos, Guilherme de C. M. Gomes, Allen Ibiapina, Raul Lopes, Ignasi Sau, Ana Silva:
Coloring Problems on Bipartite Graphs of Small Diameter. - Peter A. Streufert:
The Category of Node-and-Choice Extensive-Form Games. - Antoine Grospellier, Lucien Grouès, Anirudh Krishna, Anthony Leverrier:
Combining hard and soft decoders for hypergraph product codes. - Pranav Gokhale, Ali Javadi-Abhari, Nathan Earnest, Yunong Shi, Frederic T. Chong:
Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse. - Nicholas Chimitt, Stanley H. Chan:
Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients. - Mylene Pischella, Arsenia Chorti, Inbar Fijalkow:
Performance Analysis of Uplink NOMA-Relevant Strategy Under Statistical Delay QoS Constraints. - Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge:
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition. - Khaoula el Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski:
Variance reduction for distributed stochastic gradient MCMC. - Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Memory and forecasting capacities of nonlinear recurrent networks. - Jingwei Hu, Kunlun Qi:
A fast Fourier spectral method for the homogeneous Boltzmann equation with non-cutoff collision kernels. - Liqun Qi, Xinzhen Zhang, Yannan Chen:
A Tensor Rank Theory, Full Rank Tensors and The Sub-Full-Rank Property. - Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty:
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification. - S. M. Kamrul Hasan, Cristian A. Linte:
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI. - Carlo Marcati, Christoph Schwab:
Analytic regularity for the incompressible Navier-Stokes equations in polygons. - Kaizhi Qian, Yang Zhang, Shiyu Chang, David D. Cox, Mark Hasegawa-Johnson:
Unsupervised Speech Decomposition via Triple Information Bottleneck. - S. Anand, K. Nagajothi, K. Nithya:
Edge Detection using Stationary Wavelet Transform, HMM, and EM algorithm. - Ajitesh Srivastava, Viktor K. Prasanna:
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic. - Ying Liu:
Preliminary Study of Connectivity for Quantum Key Distribution Network. - Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. - Guru Swaroop Bennabhaktula, Enrique Alegre, Dimka Karastoyanova, George Azzopardi:
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise. - Amruthlal M, Devika S, Ameer Suhail P. A, Aravind K. Menon, Vignesh Krishnan, Alan Thomas, Manu Thomas, Sanjay G, Lakshmi Kanth L. R, Jimmy Jose, Harikrishnan S:
Development of a Machine Learning Model and Mobile Application to Aid in Predicting Dosage of Vitamin K Antagonists Among Indian Patients. - Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
A Causal Modeling Framework with Stochastic Confounders. - Konstantin Pieper, Armenak Petrosyan:
Nonconvex penalization for sparse neural networks. - Carlos Fernandez, Foster J. Provost, Jesse Anderton, Benjamin A. Carterette, Praveen Chandar:
Methods for Individual Treatment Assignment: An Application and Comparison for Playlist Generation. - Yingying Shi, Yongchao Zeng, Jean Engo, Botang Han, Yang Li, Ralph T. Muehleisen:
Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An agent-based model. - Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel:
A Review of an Old Dilemma: Demosaicking First, or Denoising First? - Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Kok Keong Chai, Arumugam Nallanathan:
Robust Transmission Design for Intelligent Reflecting Surface Aided Secure Communication Systems with Imperfect Cascaded CSI. - Jan Krajícek:
Small circuits and dual weak PHP in the universal theory of p-time algorithms. - Yu-Chin Lu, Chia-Wei Tsai, Tzonelih Hwang:
Quantum Key Recycling with optimal key recycling rate based on a noise level. - Marco Guerra, Alessandro De Gregorio, Ulderico Fugacci, Giovanni Petri, Francesco Vaccarino:
Homological Scaffold via Minimal Homology Bases. - Ahmet M. Elbir, Kumar Vijay Mishra:
Sparse Array Selection Across Arbitrary Sensor Geometries with Deep Transfer Learning. - Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang:
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. - Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, Peyman Mostaghimi:
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media. - Narinder Singh Punn, Sonali Agarwal:
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. - Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini:
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. - Peter Robert Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan Duncan Fleming, Jano I. van Hemert, Ik Siong Heng:
Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities. - Sidra Mehtab, Jaydip Sen:
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models. - Aradhya Neeraj Mathur, Apoorv Khattar, Ojaswa Sharma:
Multimodal Medical Volume Colorization from 2D Style. - Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization. - Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal:
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. - Jules Depersin:
Robust subgaussian estimation with VC-dimension. - Hussein Abulkasim, Atefeh Mashatan, Shohini Ghose:
Multiparty Quantum Key Agreement That is Secure Against Collusive Attacks. - Sebastian Gottwald, Daniel A. Braun:
The Two Kinds of Free Energy and the Bayesian Revolution. - Yiye Jiang, Jérémie Bigot, Sofian Maabout:
Sensor selection on graphs via data-driven node sub-sampling in network time series. - Pawel Pelka, Grzegorz Dudek:
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. - Karush Suri, Rinki Gupta:
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs. - Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar:
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network. - Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand:
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. - Yihe Liu, Aaqif Afzaal Abbasi, Atefeh Aghaei, Almas Abbasi, Amir Mosavi, Shahab Shamshirband, Mohammed Abdulaziz Aide Al-qaness:
A Mobile Cloud-Based eHealth Scheme. - Christian Kaspers, Yue Zhou:
The number of almost perfect nonlinear functions grows exponentially. - Gang Liu, Jing Wang:
Muscle Synergy and Coupling for Hand. - Leila Ben Saad, Baltasar Beferull-Lozano:
Accurate Graph Filtering in Wireless Sensor Networks. - Grigor Aslanyan, Richard Easther, Nathan Musoke, Layne C. Price:
Robust posterior inference when statistically emulating forward simulations. - Anirudh Goyal, Yoshua Bengio, Matthew M. Botvinick, Sergey Levine:
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. - Ryan M. Corey, Andrew C. Singer:
Binaural Audio Source Remixing with Microphone Array Listening Devices. - Alexey Ovchinnikov, Isabel Cristina Pérez-Verona, Gleb Pogudin, Mirco Tribastone:
CLUE: Exact maximal reduction of kinetic models by constrained lumping of differential equations. - Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek:
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. - Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images. - Niladri S. Chatterji, Philip M. Long:
Finite-sample analysis of interpolating linear classifiers in the overparameterized regime. - Jixiong Wang, Ashish Patel, James M. S. Wason, Paul J. Newcombe:
Two-Stage Sparse Regression Screening to Detect Biomarker-Treatment Interactions in Randomized Clinical Trials. - Keisuke Imoto, Seisuke Kyochi:
Sound Event Detection Utilizing Graph Laplacian Regularization with Event Co-occurrence. - Zhong Meng, M. Umair Bin Altaf, Biing-Hwang Juang:
Active Voice Authentication. - Lucas Lamata:
Quantum machine learning and quantum biomimetics: A perspective. - Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann:
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS). - Chung-Han Hsieh:
Necessary and Sufficient Conditions for Frequency-Based Kelly Optimal Portfolio. - Abel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthavee:
Assessing the impact of the coronavirus lockdown on unhappiness, loneliness, and boredom using Google Trends. - Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo:
An Epidemiological Modelling Approach for Covid19 via Data Assimilation. - Feyi Olalotiti-Lawal, Shusei Tanaka, Akhil Datta-Gupta:
Streamline-Based Simulation of Carbon Dioxide Sequestration in Saline Aquifers. - Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang:
A Survey on Domain Knowledge Powered Deep Learning for Medical Image Analysis. - Sergio Cobo-López, Antonia Godoy-Lorite, Jordi Duch, Marta Sales-Pardo, Roger Guimerà:
Optimal prediction of decisions and model selection in social dilemmas using block models. - Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized spectral co-clustering for large-scale directed networks. - Félix del Teso, David Gómez-Castro, Juan Luis Vázquez:
Estimates on translations and Taylor expansions in fractional Sobolev spaces. - Kamran Javid, Will Handley, Mike Hobson, Anthony N. Lasenby:
Compromise-free Bayesian neural networks. - Huayu Li, Xiwen Chen, Haiyu Wu, Zaoyi Chi, Christopher Mann, Abolfazl Razi:
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning. - Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan:
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model. - James Allworth, Lloyd Windrim, Jeffrey Wardman, Daniel Kucharski, James Bennett, Mitch Bryson:
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning. - Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Low-Complexity Switch Scheduling Algorithms: Delay Optimality in Heavy Traffic. - Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief:
Blind Data Detection in Massive MIMO via ℓ3-norm Maximization over the Stiefel Manifold. - Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert:
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images. - Xinwei Chai, Xian Guo, Jihua Xiao, Jie Jiang:
Spatiotemporal Analysis of Share Bike Usage during the COVID-19 Pandemic: a Case Study of Beijing. - T. Chacón Rebollo, Daniel Franco Coronil:
Predictive data assimilation through Reduced Order Modeling for epidemics with data uncertainty. - Michal Heker, Hayit Greenspan:
Joint Liver Lesion Segmentation and Classification via Transfer Learning. - Giuseppe Maria Coclite, Helge Holden, Nils Henrik Risebro:
Singular Diffusion with Neumann boundary conditions. - Bing Liu:
A Model Checking-based Analysis Framework for Systems Biology Models. - Dan Reznik, Ronaldo Garcia, Jair Koiller:
Forty New Invariants of N-Periodics in the Elliptic Billiard. - Marco Cuturi, Olivier Teboul, Jean-Philippe Vert:
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. - Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang:
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. - Frederic Koehler, Elchanan Mossel:
A Phase Transition in Arrow's Theorem. - Tianyang Li, Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Yanfei Hong, Jinyu Cong:
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning. - Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl:
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities. - Jiayu Zhang:
Succinct Blind Quantum Computation Using a Random Oracle. - Fabian Isensee, Klaus H. Maier-Hein:
OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images. - Andrei Yu. Khrennikov:
Social laser model for the Bandwagon effect: generation of coherent information waves. - Mohammad Hatami, Mojtaba Jahandideh, Markus Leinonen, Marian Codreanu:
Age-Aware Status Update Control for Energy Harvesting IoT Sensors via Reinforcement Learning. - Junhua Sun, Zhou Zhang, Jie Zhang:
Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision. - Hongjia H. Chen, Tristram J. Alexander, Diego F. M. Oliveira, Eduardo G. Altmann:
Scaling laws and dynamics of hashtags on Twitter. - Costas Yiallourides, Patrick A. Naylor:
Time-Frequency Analysis and Parameterisation of Knee Sounds for Non-invasive Detection of Osteoarthritis. - Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen:
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network. - Chun-Fu Yeh, Hsien-Tzu Cheng, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Po-Chen Kuo, Ray-Jade Chen, Po-Chang Lee, Jen-Hsiang Chuang, Chi-Mai Chen, Nai-Kuan Chou, Yeun-Chung Chang, Kuan-Hua Chao, Yi-Chin Tu, Tyng-Luh Liu:
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening. - Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Veta:
Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. - Frank Dignum, Virginia Dignum, Paul Davidsson, Amineh Ghorbani, Mijke van der Hurk, Maarten Jensen, Christian Kammler, Fabian Lorig, Luis Gustavo Ludescher, Alexander Melchior, René Mellema, Cezara Pastrav, Loïs Vanhée, Harko Verhagen:
Analysing the combined health, social and economic impacts of the corovanvirus pandemic using agent-based social simulation. - Dane Taylor:
Multiplex Markov Chains. - Gianluca Maguolo, Loris Nanni:
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images. - Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi:
A Light CNN for detecting COVID-19 from CT scans of the chest. - Chung-Han Hsieh:
Generalization of Affine Feedback Stock Trading Results to Include Stop-Loss Orders. - Hadyn Tang:
On the NP-Completeness of Satisfying Certain Path and Loop Puzzles. - David Yevick, Roger G. Melko:
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems. - Julius von Kügelgen, Ivan Ustyuzhaninov, Peter V. Gehler, Matthias Bethge, Bernhard Schölkopf:
Towards causal generative scene models via competition of experts. - Shaocheng Huang, Yu Ye, Ming Xiao:
Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems. - Ämin Baumeler, Eleftherios Tselentis:
Equivalence of grandfather and information antinomy under intervention. 1-12 - Marco D'Orazio, Gabriele Bernardini, Enrico Quagliarini:
How to restart? An agent-based simulation model towards the definition of strategies for COVID-19 "second phase" in public buildings. - Chandra Sekhar Mukherjee, Subhamoy Maitra:
Classical-Quantum Separations in Minimal Query Complexity of Boolean Functions. - Janik Frenzel, Stefan H. Müller-Weinfurtner, Johannes B. Huber, Ralf R. Müller:
Comparison of Windowed-Decoder Configurations for Spatially Coupled LDPC Codes Under Equal-Complexity Constraints. - Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite:
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms. - Keith Burghardt, Kristina Lerman:
Systematic Biases in Aggregated COVID-19 Growth Rates. - Jun Zhang, Yao-Kun Lei, Zhen Zhang, Junhan Chang, Maodong Li, Xu Han, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao:
A Perspective on Deep Learning for Molecular Modeling and Simulations. - Isaac M. Ross:
Enhancements to the DIDO Optimal Control Toolbox. - Seifedine Nimer Kadry, Venkatesan Rajinikanth, Seungmin Rho, Nadaradjane Sri Madhava Raja, Vaddi Seshagiri Rao, Krishnan Palani Thanaraj:
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class. - Calypso Herrera, Florian Krach, Josef Teichmann:
Estimating Full Lipschitz Constants of Deep Neural Networks. - Xin Qian, Diego Klabjan:
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent. - Amir Shakouri, Seid H. Pourtakdoust, Mohammad Sayanjali:
Multiple-impulse orbital maneuver with limited observation window. - Joseph T. Colonel, Christopher Curro, Sam Keene:
Autoencoding Neural Networks as Musical Audio Synthesizers. - Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson:
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. - Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol:
A scoping review of transfer learning research on medical image analysis using ImageNet. - Scott Aaronson, Shalev Ben-David, Robin Kothari, Avishay Tal:
Quantum Implications of Huang's Sensitivity Theorem. - Shixiang Chen, Alfredo García, Shahin Shahrampour:
Distributed Projected Subgradient Method for Weakly Convex Optimization. - Anjali Balagopal, Dan Nguyen, Howard E. Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad-Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve B. Jiang:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. - Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar:
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index. - Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher:
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. - Kai Yang, Yong Zhou, Zhanpeng Yang, Yuanming Shi:
Communication-Efficient Edge AI Inference Over Wireless Networks. - Manuel Morante:
A lite parametric model for the Hemodynamic Response Function. - Abhilash Nandy, Rachana Sathish, Debdoot Sheet:
Identification of Cervical Pathology using Adversarial Neural Networks. - Bryan Lim, Stefan Zohren:
Time Series Forecasting With Deep Learning: A Survey. - Fredrik Schalling, Sebastian Ljungberg, Naveen Mohan:
Benchmarking LiDAR Sensors for Development and Evaluation of Automotive Perception. - Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. - Mina Jafari, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen:
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation. - Charles Hudin, Vincent Hayward:
When Hearing Defers to Touch. - Menghan Sun, Jichang Zhao:
How do online consumers review negatively? - Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen:
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net. - Zhong Meng, Hu Hu, Jinyu Li, Changliang Liu, Yan Huang, Yifan Gong, Chin-Hui Lee:
L-Vector: Neural Label Embedding for Domain Adaptation. - Ronaldo Garcia, Dan Reznik:
Related by Similiarity: Poristic Triangles and 3-Periodics in the Elliptic Billiard. - Sourav Sen:
Detect Language of Transliterated Texts. - Li Fu, Xiaoxiao Li, Libo Zi:
Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition. - Miklós Z. Rácz, Anirudh Sridhar:
Correlated randomly growing graphs. - Anna Velyka, Marco Guerzoni:
The more you ask, the less you get: the negative impact of collaborative overload on performance. - Michael F. Herbst, Antoine Levitt, Eric Cancès:
A posteriori error estimation for the non-self-consistent Kohn-Sham equations. - De Kai, Guy-Philippe Goldstein, Alexey Morgunov, Vishal Nangalia, Anna Rotkirch:
Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations. - Shunbo Lei, David Hong, Johanna L. Mathieu, Ian A. Hiskens:
Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion. - Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah:
A Graph-constrained Changepoint Detection Approach for ECG Segmentation. - Ammar Alammari, Ammar Ahmed Alkahtani, Mohd Riduan Ahmad, Fuad Noman, Mona Riza Mohd Esa, Muhammad Haziq Mohamad Sabri, Sulaiman Ali Mohammad, Ahmed Salih Al-Khaleefa, Zen Kawasaki, Vassilios G. Agelidis:
Kalman Filter and Wavelet Cross-correlation for VHF Broadband Interferometer Lightning Mapping. - Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. - Yuntian Chen, Dongxiao Zhang:
Ensemble long short-term memory (EnLSTM) network. - Yong Xiao, Guangming Shi, Marwan Krunz:
Towards Ubiquitous AI in 6G with Federated Learning. - Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes. - Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella:
A Linear Bandit for Seasonal Environments. - Farhad Gh. Khodaei:
Method for Estimation of Nonlinear $λ$-I Relation of Single Phase Power Transformer Core by Using On-line Measurable Parameters. - Calypso Herrera, Florian Krach, Josef Teichmann:
Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices. - Daniel Haehn, Loraine Franke, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren O'Donnell, Yogesh Rathi:
TRAKO: Efficient Transmission of Tractography Data for Visualization. - Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu:
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries. - Ayaka Sakata:
Bayesian inference of infected patients in group testing with prevalence estimation. - Dongmei Wang, Zhuo Chen, Takuya Yoshioka:
Neural Speech Separation Using Spatially Distributed Microphones. - Jie Cai, Zibo Meng, Chiu Man Ho:
Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction. - Marco Trenti, Lorenzo Sestini, Alessio Gianelle, Davide Zuliani, Timo Felser, Donatella Lucchesi, Simone Montangero:
Quantum-inspired Machine Learning on high-energy physics data. - Kasperi Palkama, Lauri Juvela, Alexander Ilin:
Conditional Spoken Digit Generation with StyleGAN. - Daniele Bartoli, Matteo Bonini, Marco Timpanella:
On the weight distribution of some minimal codes. - Dilip Kumar Verma, Ahmadreza Baghaie:
Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation. - Aneta Polewko-Klim, Witold R. Rudnicki:
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data. - Pierre Gillibert, Thomas Lachmann, Clemens Müllner:
The VC-Dimension of Axis-Parallel Boxes on the Torus. - Ronald Wilson, Navid Asadizanjani, Domenic Forte, Damon L. Woodard:
Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images. - Catalina Gómez Caballero, Mauricio Neira, Marcela Hernández Hoyos, Pablo Arbeláez, Jaime Forero-Romero:
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks. - Erick Schmidt, Nikolaos Gatsis, David Akopian:
A GPS spoofing detection and classification correlator-based technique using the LASSO. - Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu:
An Auto-Encoder Strategy for Adaptive Image Segmentation. - Rosemary A. Renaut, Jarom D. Hogue, Saeed Vatankhah:
A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2D$ fast Fourier transform. - Yiyan Yao, Xin-Long Luo:
Improving Vertical Positioning Accuracy with the Weighted Multinomial Logistic Regression Classifier. - Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition. - Anuraag Singh, Giorgio Triulzi, Christopher L. Magee:
Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description. - Wen Yu Kon, Charles Ci Wen Lim:
Provably-secure symmetric private information retrieval with quantum cryptography. - Jeisson Prieto, Jonatan Gómez:
Hybrid Adaptive Evolutionary Algorithm for Multi-objective Optimization. - Kaikai Pan, Peter Palensky, Peyman Mohajerin Esfahani:
Data-Assisted Model-Based Anomaly Detection for High-Fidelity Simulators of Power Systems. - David Gómez-Gutiérrez:
On the design of non-autonomous fixed-time controllers with a predefined upper bound of the settling time. - Lingbo Li, Ying Fan, An Zeng, Zengru Di:
Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election. - Youssef Hammadi, David Ryckelynck, Amin El-Bakkali:
Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems. - Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. - Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi:
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. - Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets. - Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien:
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. - Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien:
Insights on Training Neural Networks for QUBO Tasks. - Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan:
Continual Deep Learning by Functional Regularisation of Memorable Past. - Kohei Yatabe, Daichi Kitamura:
Determined BSS based on time-frequency masking and its application to harmonic vector analysis. - Stefan Ivic, Bojan Crnkovic, Hassan Arbabi, Sophie Loire, Patrick Clary, Igor Mezic:
Search strategy in a complex and dynamic environment: the MH370 case. - Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. - Muhammad Ahmad:
A Fast 3D CNN for Hyperspectral Image Classification. - José Garres-Díaz, Enrique Domingo Fernández-Nieto, Anne Mangeney, Tomás Morales de Luna:
A weakly non-hydrostatic shallow model for dry granular flows. - Sanyou Wu, Xingdong Feng, Fan Zhou:
Metric learning by Similarity Network for Deep Semi-Supervised Learning. - Magnus Bakke Botnan, Justin Curry, Elizabeth Munch:
A Relative Theory of Interleavings. - Yuntian Chen, Dongxiao Zhang:
Physics-constrained indirect supervised learning. - Julien Horwood, Emmanuel Noutahi:
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning. - Shaoxiong Sun, Amos Folarin, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Nicholas Cummins, Faith Matcham, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Mathias Buron, Ana Isabel Guerrero, Ana Zabalza, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Maria Haro, Inez Myin-Germeys, Aki Rintala, Vaibhav A. Narayan, Giancarlo Comi, Matthew Hotopf, Richard J. B. Dobson:
Using smartphones and wearable devices to monitor behavioural changes during COVID-19. - Konstantin Yu. Gorbunov, Vassily A. Lyubetsky:
An Almost Exact Linear Complexity Algorithm of the Shortest Transformation of Chain-Cycle Graphs. - Philippe Monmousseau, Aude Marzuoli, Eric Feron, Daniel Delahaye:
Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data. - Olena Burkovska, Max D. Gunzburger:
On a nonlocal Cahn-Hilliard model permitting sharp interfaces. - Yu. Kvasiuk, Evgeny E. Zabrodin, Larissa V. Bravina, I. Didur, M. Frolov:
Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning. - Ke Liu, Nicolas Sadoune, Nihal Rao, Jonas Greitemann, Lode Pollet:
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids. - Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, Paolo Gay:
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. - Marco Henrique de Almeida Inácio:
Simulation studies on Python using sstudy package with SQL databases as storage. - Jugurta Montalvão, Jânio Coutinho Canuto, Luiz Miranda:
Bias-corrected estimator for intrinsic dimension and differential entropy-a visual multiscale approach. - André C. R. Martins:
Extremism definitions in opinion dynamics models. - Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. - Xi-Lin Li:
A Triangular Network For Density Estimation. - Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Saez-Trigueros, Thomas Drugman:
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. - Carlos D'Andrea, Gabriela Jeronimo, Martín Sombra:
The Canny-Emiris conjecture for the sparse resultant. - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Generalization Error for Linear Regression under Distributed Learning. - Marja Matinmikko-Blue, Sirpa Aalto, Muhammad Imran Asghar, Hendrik Berndt, Yan Chen, Sudhir Dixit, Risto Jurva, Pasi Karppinen, Markku Kekkonen, Marianne Kinnula, Panagiotis Kostakos, Johanna Lindberg, Edward Mutafungwa, Kirsi Ojutkangas, Elina Rossi, Seppo Yrjölä, Anssi Öörni, Petri Ahokangas, Muhammad Zeeshan Asghar, Fan Chen, Netta Iivari, Marcos Katz, Atte Kinnula, Josef Noll, Harri Oinas-Kukkonen, Ian J. Oppermann, Ella Peltonen, Hanna Saarela, Harri Saarnisaari, Anna Suorsa, Gustav Wikström, Volker Ziegler:
White Paper on 6G Drivers and the UN SDGs. - Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini, Abdelaali Chaoub, Marco Giordani, Adrian Kliks, Marja Matinmikko-Blue, Nan Zhang, Anuj Agrawal, Mats Andersson, Vimal Bhatia, Wei Cao, Yunfei Chen, Wei Feng, Marjo Heikkilä, Josep Miquel Jornet, Luciano Leonel Mendes, Heikki Karvonen, Brejesh Lall, Matti Latva-aho, Xiangling Li, Kalle Lähetkangas, Moshe T. Masonta, Alok Pandey, Pekka Pirinen, Khaled M. Rabie, Tlou M. Ramoroka, Hanna Saarela, Amit Singhal, Kaibo Tian, Justin Wang, Chenchen Zhang, Yang Zhen, Haibo Zhou:
A 6G White Paper on Connectivity for Remote Areas. - Erik Scharwächter, Emmanuel Müller:
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series. - Chenglin Xu, Wei Rao, Eng Siong Chng, Haizhou Li:
Time-domain speaker extraction network. - Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Quantum circuit representation of Bayesian networks. - Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst:
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications. - Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram:
Multiresolution and Multimodal Speech Recognition with Transformers. - Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet:
Interpretable Random Forests via Rule Extraction. - Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Robust Phonetic Segmentation Using Spectral Transition measure for Non-Standard Recording Environments. - Oriol Artime, Valeria d'Andrea, Riccardo Gallotti, Pierluigi Sacco, Manlio De Domenico:
Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms. - Paolo Di Lorenzo, Simone Scardapane:
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. - Sarah O. M. Saeed, Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Mohammed T. Alresheedi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Resilience in Optical Wireless Systems. - Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. - Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun:
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. - Ruiqi Liu, Zuofeng Shang, Guang Cheng:
On Deep Instrumental Variables Estimate. - Teague Tomesh, Pranav Gokhale, Eric R. Anschütz, Frederic T. Chong:
Coreset Clustering on Small Quantum Computers. - Anurag Anshu, Aram W. Harrow, Mehdi Soleimanifar:
From communication complexity to an entanglement spread area law in the ground state of gapped local Hamiltonians. - Juste Raimbault:
A model of urban evolution based on innovation diffusion. - Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Optimal Power Flow for Distribution Grids. - Alexandru Topirceanu, Mihai Udrescu, Radu Marculescu:
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics. - Xinhua Wang, Xiaodong Wang, Alexei Ashikhmin:
Long-term scheduling and power control for wirelessly powered cell-free IoT. - Hossein Noorazar:
Recent advances in opinion propagation dynamics: A 2020 Survey. - Angelos Aveklouris, Maria Vlasiou, Bert Zwart:
A Fluid Model of an Electric Vehicle Charging Network. - Margarida Romero:
Computers in Secondary Schools: Educational Games. - Jacob Turner:
Mapping Matchings to Minimum Vertex Covers: Kőnig's Theorem Revisited. - Florian Hoersch, Zoltán Szigeti:
The (2, k)-connectivity augmentation problem: Algorithmic aspects. - Oluwafemi Kolade, Mulundumina Shimaponda-Nawa, Daniel J. J. Versfeld, Ling Cheng:
Optimization Algorithms for Improving the Performance of Permutation Trellis Codes. - Yang Li, Xiaofang Zhang, Yong Li, Bingjie Xu, Li Ma, Jie Yang, Wei Huang:
High-throughput GPU layered decoder of multi-edge type low density parity check codes in continuous-variable quantum key distribution systems. - Oluwafemi Kolade, Ling Cheng:
Concatenated Permutation Codes for Indoor MIMO Visible Light Communication. - I. S. Buhai, Marco van der Leij:
A Social Network Analysis of Occupational Segregation. - Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry:
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation. - Simon Van Eyndhoven, Patrick Dupont, Simon Tousseyn, Nico Vervliet, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi:
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. - Enrique G. Alvarado, Bala Krishnamoorthy, Kevin R. Vixie:
The Maximum Distance Problem and Minimal Spanning Trees. - Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Extending machine learning classification capabilities with histogram reweighting. - Michal Narajewski, Florian Ziel:
Changes in electricity demand pattern in Europe due to COVID-19 shutdowns. - Biao Wu, Hanbo Chen, Zhikang Luo:
Board Games for Quantum Computers. - Ariah Klages-Mundt, Andreea Minca:
While Stability Lasts: A Stochastic Model of Stablecoins. - Dusko Pavlovic, Dominic J. D. Hughes:
The nucleus of an adjunction and the Street monad on monads. - Zahra Derakhshandeh, Babak Esmaeili:
Active-Learning in the Online Environment.
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