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ORCIDCoRR, June 2021
- Vikrant Singhal, Thomas Steinke:
Privately Learning Subspaces. - Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Analysis and classification of main risk factors causing stroke in Shanxi Province. - Firas Hamze:
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices. - Manuel Ntumba
, Saurabh Gore, Jean-Baptiste Awanyo:
DikpolaSat Mission: Improvement of Space Flight Performance and Optimal Control Using Trained Deep Neural Network - Trajectory Controller for Space Objects Collision Avoidance. - Hao Xu, Dongxiao Zhang:
Robust discovery of partial differential equations in complex situations. - Lu Ma, Song Yang, Yaguang Gong, Zhongqin Wu:
Multi-Scale Attention Neural Network for Acoustic Echo Cancellation. - Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. - Asier Gutiérrez-Fandiño, David Pérez Fernández, Jordi Armengol-Estapé, Marta Villegas:
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set. - M. Andrecut:
Diffusion Self-Organizing Map on the Hypersphere. - Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. - Qian Lou, Lei Jiang:
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture. - Milliam Maxime Zekeng Ndadji:
A Grammatical Approach for Distributed Business Process Management using Structured and Cooperatively Edited Mobile Artifacts. - Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath:
A study on the plasticity of neural networks. - Abhishek Panigrahi, Navin Goyal:
Learning and Generalization in RNNs. - Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. - Thomas Bott, Dominik Schlechtweg, Sabine Schulte im Walde:
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods. - Bahareh Tolooshams, Demba E. Ba:
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. - Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. - Andrew Adamatzky, Antoni Gandia:
Living mycelium composites discern weights. - Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel:
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. - Jacob Brown, Tanujay Saha, Niraj K. Jha:
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. - Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. - Nicolas Steven Holliman:
Automating Visualization Quality Assessment: a Case Study in Higher Education. - Daniel Engel, Maurice Herlihy:
Composing Networks of Automated Market Makers. - Clara Meister, Ryan Cotterell:
Language Model Evaluation Beyond Perplexity. - Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi:
Node-Variant Graph Filters in Graph Neural Networks. - Zhikun Liu, Yuanpeng Liu, Yuan Hong, Jinwen Meng, Jianguo Wang, Shusen Zheng, Xiao Xu:
Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study. - Kamesh Munagala, Zeyu Shen, Kangning Wang:
Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule. - Kushal Chakrabarti, Nikhil Chopra:
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective. - Gilad Chase, Yuval Filmus, Dor Minzer, Elchanan Mossel, Nitin Saurabh:
Approximate polymorphisms. - Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche:
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. - Juraj Visnovsky, Ondrej Kassák, Michal Kompan, Mária Bieliková:
The Cold-start Problem: Minimal Users' Activity Estimation. - Yumo Xu, Mirella Lapata:
Text Summarization with Latent Queries. - Terence Lines, Ana Basiri:
3D map creation using crowdsourced GNSS data. - Jong Gwang Kim:
Equilibrium Computation of Generalized Nash Games: A New Lagrangian-Based Approach. - Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh:
Towards Explainable Convolutional Features for Music Audio Modeling. - Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft:
Fine-grained Generalization Analysis of Structured Output Prediction. - Mehdi Cherti, Jenia Jitsev:
Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images. - Daniel T. Chang:
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. - Yuan Wang, Sebin Gracy, Hideaki Ishii, Karl Henrik Johansson:
Suppressing the endemic equilibrium in SIS epidemics: A state dependent approach. - Tidor-Vlad Pricope:
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review. - Helen Xu, Sean Fraser, Charles E. Leiserson:
Multidimensional Included and Excluded Sums. - Qingyu Guo, Yuan Wang, Xiaoxin Cui:
Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization. - Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He:
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. - Yaling Tao, Kentaro Takagi, Kouta Nakata:
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation. - Zhifeng Kong, Wei Ping:
On Fast Sampling of Diffusion Probabilistic Models. - Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith:
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. - Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. - Mohannad Alkhraijah, Carlos Menendez, Daniel K. Molzahn:
Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communication. - Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. - Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. - Shamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow:
Proactive Provenance Policies for Automatic Cryptographic Data Centric Security. - Ujun Jeong, Kaize Ding, Huan Liu:
FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements. - Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers. - Robert Mieth, Yury Dvorkin, Miguel A. Ortega-Vazquez:
Risk-Aware Dimensioning and Procurement of Contingency Reserve. - Tedo Vrbanec, Ana Mestrovic:
Corpus-Based Paraphrase Detection Experiments and Review. - Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang:
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Single-query Path Planning Using Sample-efficient Probability Informed Trees. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods. - João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explanations for Monotonic Classifiers. - Artur Polanski, Eryk Lipka:
Detecting a single fault in a deterministic finite automaton. - Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang:
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. - David Paulius, Alejandro Agostini, Yu Sun, Dongheui Lee:
A Road-map to Robot Task Execution with the Functional Object-Oriented Network. - Travis J. E. Munyer, Daniel Brinkman, Chenyu Huang, Xin Zhong:
Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection. - Weixin Liang, Kaihui Liang, Zhou Yu:
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations. - Emma Pieroni, Peter Jachim, Nathaniel Jachim, Filipo Sharevski:
Parlermonium: A Data-Driven UX Design Evaluation of the Parler Platform. - Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. - Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. - Brandon Victor, Aiden Nibali, Zhen He, David L. Carey:
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports. - Kumail Abbas, Sajjad Haider:
Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach. - Tsu-Jui Fu, Xin Eric Wang, William Yang Wang:
Language-Driven Image Style Transfer. - Tokuhiro Nishikawa, Daiki Shimada, Jerry Jun Yokono:
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization. - Meichun Jiao, Ziyang Luo:
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives. - Levente J. Klein, Wang Zhou, Conrad M. Albrecht:
Quantification of Carbon Sequestration in Urban Forests. - Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. - Tzu-Chi Yen:
Construction of Simplicial Complexes with Prescribed Degree-Size Sequences. - Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Real-time and Light-weight Line Segment Detection. - Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. - Assem Zhunis, Tung-Duong Mai, Sundong Kim:
Responses to COVID-19 with Probabilistic Programming. - Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Misun Min:
All-Hex Meshing Strategies For Densely Packed Spheres. - Xingshan Zeng, Liangyou Li, Qun Liu:
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021. - Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. - Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents. - Yosuke Sunayama, Masato Kimura, Julius Fergy T. Rabago:
Comoving mesh method for certain classes of moving boundary problems. - Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan:
Hybrid Generative Models for Two-Dimensional Datasets. - Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. - Zonghai Yao, Hong Yu:
Improving Formality Style Transfer with Context-Aware Rule Injection. - Yunhan Huang, Quanyan Zhu:
Game-Theoretic Frameworks for Epidemic Spreading and Human Decision Making: A Review. - Yongjian Deng, Hao Chen, Huiying Chen, Youfu Li:
EV-VGCNN: A Voxel Graph CNN for Event-based Object Classification. - Chinmay Garg, Aravind Machiry, Andrea Continella, Christopher Kruegel, Giovanni Vigna:
Toward a Secure Crowdsourced Location Tracking System. - Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun:
Discontinuous Named Entity Recognition as Maximal Clique Discovery. - Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman:
Question-aware Transformer Models for Consumer Health Question Summarization. - Mark Gillespie, Nicholas Sharp, Keenan Crane:
Integer Coordinates for Intrinsic Geometry Processing. - Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. - Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. - Grégory Etangsale, Marwan Fahs, Vincent Fontaine, Ali Raeisi Isa-Abadi:
Families of hybridizable interior penalty discontinuous Galerkin methods for degenerate advection-diffusion-reaction problems. - Haotian Hu, Fanyi Wang, Huixiao Le:
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds. - Qian-Ping Gu, Jiajian Leo Liang:
Multimodal Transportation with Ridesharing of Personal Vehicles. - Sunny Consolvo, Patrick Gage Kelley, Tara Matthews, Kurt Thomas, Lee Dunn, Elie Bursztein:
"Why wouldn't someone think of democracy as a target?": Security practices & challenges of people involved with U.S. political campaigns. - Nicolas Zampieri, Irina Illina, Dominique Fohr:
Improving Automatic Hate Speech Detection with Multiword Expression Features. - Sergio Armando Gutierrez, John Willian Branch, Luciano Paschoal Gaspary, Juan Felipe Botero:
Watching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence. - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble. - Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. - Aashrith Vishwanath, Hamza Anwar, Apurva Chunodkar, Qadeer Ahmed:
Comprehensive Energy Footprint Benchmarking of Strong Parallel Electrified Powertrain. - Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. - Marc Zeller, Francesco Montrone:
Combination of component fault trees and Markov chains to analyze complex, software-controlled systems. - Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning. - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
ViTA: Visual-Linguistic Translation by Aligning Object Tags. - Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone:
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. - Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker:
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks. - Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification. - Yu Wang, Hongxia Jin:
A Coarse to Fine Question Answering System based on Reinforcement Learning. - Qianyu Feng, Bang Zhang, Yi Yang:
Divide and Rule: Recurrent Partitioned Network for Dynamic Processes. - Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. - Mengfan Liu, Pengyang Shao, Kun Zhang:
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction. - Bo Liu, Qiulei Dong, Zhanyi Hu:
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning. - Sharu Theresa Jose, Osvaldo Simeone:
A unified PAC-Bayesian framework for machine unlearning via information risk minimization. - Oriol Corcoll, Raul Vicente:
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. - Sabah Al-Fedaghi:
Classes in Object-Oriented Modeling (UML): Further Understanding and Abstraction. - Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-yi Lee:
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning. - Alex Díaz, Damian Steele:
Analysis of classifiers robust to noisy labels. - He Yang:
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. - Ruxandra Marinescu-Ghemeci, Camelia Obreja, Alexandru Popa:
Approximate and exact results for the harmonious chromatic number. - Quentin F. Stout:
L0 Isotonic Regression With Secondary Objectives. - Martin Genzel, Jan MacDonald, Maximilian März:
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry. - Chao Zhang, Igor Menshov, Lifeng Wang, Zhijun Shen:
Diffuse interface relaxation model for two-phase compressible flows with diffusion processes. - Kensuke Aihara, Akira Imakura, Keiichi Morikuni:
Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. - Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. - Vishnu Iyer, Avishay Tal, Michael Whitmeyer:
Junta Distance Approximation with Sub-Exponential Queries. - Pranay Mathur, Nikhil Khedekar, Kostas Alexis:
Resource-aware Online Parameter Adaptation for Computationally-constrained Visual-Inertial Navigation Systems. - Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. - Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu:
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring. - Ming-Chun Lee, Andreas F. Molisch, Mingyue Ji:
Throughput-Outage Scaling Behaviors for Wireless Single-Hop D2D Caching Networks with Physical Model - Analysis and Derivations. - Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras:
Harvesting the Public MeSH Note field. - Frank Ruis, Gertjan J. Burghouts, Doina Bucur:
Independent Prototype Propagation for Zero-Shot Compositionality. - Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo:
Understanding peacefulness through the world news. - Eric Price, Jonathan Scarlett, Nelvin Tan:
Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing. - Rasmus Ulfsnes, Viktoria Stray, Nils Brede Moe, Darja Smite:
Innovation in Large-scale agile - Benefits and Challenges of Hackathons when Hacking from Home. - Julien Dular, Mané Harutyunyan, Lorenzo Bortot, Sebastian Schöps, Benoit Vanderheyden, Christophe Geuzaine:
On the Stability of Mixed Finite-Element Formulations for High-Temperature Superconductors. - Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He:
Dual Graph enhanced Embedding Neural Network for CTR Prediction. - Giovanna D'Agostino, Davide Martincigh, Alberto Policriti:
Ordering regular languages: a danger zone. - Zhongyi Yu, Zhenghao Wu, Hao Zheng, Zhe Xuanyuan, Jefferson Fong, Weifeng Su:
LenAtten: An Effective Length Controlling Unit For Text Summarization. - Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann:
Data-Driven Shadowgraph Simulation of a 3D Object. - Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox:
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Bayesian Agency: Linear versus Tractable Contracts. - Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. - Felix J. Thiel, Anthony Steed:
A Way to a Universal VR Accessibility Toolkit. - Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. - Chongnan Ye, Chundong Wang:
Boosting the Search Performance of B+-tree for Non-volatile Memory with Sentinels. - Kimon Kieslich, Birte Keller, Christopher Starke:
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI. - Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. - Tatsuro Mukai, Yuichi Ikeda:
Optimizing travel routes using temporal networks constructed from GPS data. - Zihao Yan, Zimu Yi, Ruizhen Hu, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Consistent Two-Flow Network for Tele-Registration of Point Clouds. - Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
An In-depth Study on Internal Structure of Chinese Words. - Zhenhao Li, Tse-Hsun Chen, Jinqiu Yang, Weiyi Shang:
Studying Duplicate Logging Statements and Their Relationships with Code Clones. - Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding. - Manuel Bravo, Alexey Gotsman, Borja de Régil, Hengfeng Wei:
UniStore: A fault-tolerant marriage of causal and strong consistency (extended version). - Mark Anderson, Anders Søgaard, Carlos Gómez-Rodríguez:
Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance. - Justin Jacob, Sreya Das, Navin Khaneja:
Refined Transformation Approach for Stabilization of MIMO System by Pole Placement. - Elisabeth Gaar, Markus Sinnl:
Experiments with graph convolutional networks for solving the vertex p-center problem. - Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. - Adrià Arbués Sangüesa, Adrián Martín, Paulino Granero, Coloma Ballester, Gloria Haro:
Learning Football Body-Orientation as a Matter of Classification. - Verity Allan, Caitriona Leedham:
Scientific Computing in the Cavendish Laboratory and the pioneering women Computors. - Michael Rotman, Lior Wolf:
Natural Statistics of Network Activations and Implications for Knowledge Distillation. - Robert-Jeron Reifert, Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin, Bruno Clerckx:
Rate-Splitting Multiple Access in Cache-Aided Cloud-Radio Access Networks. - Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden:
Markov Localisation using Heatmap Regression and Deep Convolutional Odometry. - Michal Dory, Merav Parter:
Fault-Tolerant Labeling and Compact Routing Schemes. - Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang:
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds. - Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn:
Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints. - Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. - Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani, Agnes Koschmider, Felix Mannhardt, Saskia Nuñez von Voigt, Majid Rafiei, Leopold von Waldthausen:
Privacy and Confidentiality in Process Mining - Threats and Research Challenges. - Annika Wong, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Attakorn Palasuwan, David Bull:
Analysis of Vision-based Abnormal Red Blood Cell Classification. - Laura Giordano:
On the KLM properties of a fuzzy DL with Typicality. - Jonathan Kelly, Christopher Grebe, Matthew Giamou:
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems. - Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini:
Learning Representations for Sub-Symbolic Reasoning. - Shai Feldman, Stephen Bates, Yaniv Romano:
Improving Conditional Coverage via Orthogonal Quantile Regression. - Ilker Demirel, Sinan Gezici:
Distance and Position Estimation in Visible Light Systems with RGB LEDs. - Matthias Naaf:
Computing Least and Greatest Fixed Points in Absorptive Semirings. - Chenglei Si, Zhengyan Zhang, Yingfa Chen, Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun:
SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining. - Nikolaos Fryganiotis, Symeon Papavassiliou, Christos Pelekis:
A note on the network coloring game. - Karen Aplin, Zihao Xiong:
Electric field measurements made on a robotic platform. - Genta Indra Winata, Holy Lovenia, Etsuko Ishii, Farhad Bin Siddique, Yongsheng Yang, Pascale Fung:
Nora: The Well-Being Coach. - Dávid Lupták, Vít Novotný, Michal Stefánik, Petr Sojka:
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code. - Vashti Galpin, James Cheney:
Curating Covid-19 data in Links. - Pedro Maia de Sant Ana, Nikolaj Marchenko, Petar Popovski, Beatriz Soret:
Age of Loop for Wireless Networked Control Systems Optimization. - Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, Lei Zhang:
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners. - Yi Xu, Hai Zhao:
Dialogue-oriented Pre-training. - Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. - Issei Sera, Natsuki Yamanobe, Ixchel Georgina Ramirez-Alpizar, Zhenting Wang, Weiwei Wan, Kensuke Harada:
Assembly Planning by Recognizing a Graphical Instruction Manual. - Sungyeal Park, Yunseong Cho, Songnam Hong:
Low-Complexity Symbol-Level Precoding for MU-MISO Downlink Systems with QAM Signals. - Hugh L. Kennedy:
Noise will be noise: Or phase optimized recursive filters for interference suppression, signal differentiation and state estimation (extended version). - Tor Lattimore:
Minimax Regret for Bandit Convex Optimisation of Ridge Functions. - Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama:
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. - Vasileios Gkitsas, Vladimiros Sterzentsenko, Nikolaos Zioulis, Georgios Albanis, Dimitrios Zarpalas:
PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes. - Fan Huang:
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis. - Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama:
Instance Correction for Learning with Open-set Noisy Labels. - Abhishek Nadgeri, Anson Bastos, Kuldeep Singh, Isaiah Onando Mulang', Johannes Hoffart, Saeedeh Shekarpour, Vijay Saraswat:
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction. - Elvio G. Amparore, Alan Perotti, Paolo Bajardi:
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. - Ziyue Huang, Yuting Liang, Ke Yi:
Instance-optimal Mean Estimation Under Differential Privacy. - Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli:
The zoo of Fairness metrics in Machine Learning. - Jiali Wang, Martin Neil:
A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples. - Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo:
Detecting Anomalies in Semantic Segmentation with Prototypes. - Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri:
SemEval-2021 Task 1: Lexical Complexity Prediction. - Antti Honkela:
Gaussian Processes with Differential Privacy. - Antti Koskela, Mikko A. Heikkilä, Antti Honkela:
Tight Accounting in the Shuffle Model of Differential Privacy. - Syrine Krichene, Thomas Müller, Julian Martin Eisenschlos:
DoT: An efficient Double Transformer for NLP tasks with tables. - Xianzhang Wu:
New Placement Delivery Array Construction for Coded Caching with Flexible Memory Size. - Natasha Sharma:
Robust a-posteriori error estimates for weak Galerkin method for the convection-diffusion problem. - Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo:
Dense Nested Attention Network for Infrared Small Target Detection. - Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh:
Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. - Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Deniz Gündüz:
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints. - Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su:
Omnizart: A General Toolbox for Automatic Music Transcription. - K. R. Arun, M. Krishnan, Saurav Samantaray:
A Unified Asymptotic Preserving and Well-balanced Scheme for the Euler System with Multiscale Relaxation. - Qihui Wu, Tianchen Ruan, Fuhui Zhou, Yang Huang, Fan Xu, Shijin Zhao, Ya Liu, Xuyang Huang:
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks. - Jason Bernard, Ranil Sonnadara, Anthony N. Saraco, Josh P. Mitchell, Alex B. Bak, Ilana Bayer, Bruce C. Wainman:
Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees. - Gencer Sumbul, Begüm Demir:
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval. - Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. - Alireza Farhadi, MohammadTaghi Hajiaghayi, Elaine Shi:
Differentially Private Densest Subgraph. - Peng Sun, Liantao Wu, Zhi Wang:
Towards Efficient Compressive Data Collection in the Internet of Things. - Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning. - Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski:
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. - Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. - Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis:
Student Performance Prediction Using Dynamic Neural Models. - Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. - Yuxiao Liu, Ning Zhang, Qingchun Hou, Audun Botterud, Chongqing Kang:
Topology and Admittance Estimation: Precision Limits and Algorithms. - Diego Rodriguez, Sven Behnke:
DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning. - Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian:
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task. - Laurens Arp:
A Markov Reward Process-Based Approach to Spatial Interpolation. - Michal Piskozub, Fabio De Gaspari, Frederick Barr-Smith, Luigi V. Mancini, Ivan Martinovic:
MalPhase: Fine-Grained Malware Detection Using Network Flow Data. - Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein:
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests. - Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
Efficient Explanations With Relevant Sets. - Haikun Dang, Yifan Wang, Hehu Xie, Chenguang Zhou:
Enhanced Error Estimates for Augmented Subspace Method. - Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau:
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models. - Vegard Antun:
Recovering wavelet coefficients from binary samples using fast transforms. - Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal:
Towards Interpretable Attention Networks for Cervical Cancer Analysis. - Álvaro Quintanar, David Fernández Llorca, Ignacio Parra, Rubén Izquierdo, Miguel Ángel Sotelo:
Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information. - Liangliang Shi, Yang Li, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. - Amir Sonee, Stefano Rini, Yu-Chih Huang:
Wireless Federated Learning with Limited Communication and Differential Privacy. - Kris Nikov, Marcos Martínez, Simon Wegener, José L. Núñez-Yáñez, Zbigniew Chamski, Kyriakos Georgiou, Kerstin Eder:
Robust and accurate fine-grain power models for embedded systems with no on-chip PMU. - Jie Ou, Mingjian Chen, Hong Wu:
Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation. - Sandip Das, Marco Ruffini:
Optimal virtual PON slicing to support ultra-low latency mesh traffic pattern in MEC-based Cloud-RAN. - Yongxing Wang, Hazim A. Hamad, Jochen Voss, Harvey M. Thompson:
Robust design optimisation of continuous flow polymerase chain reaction thermal flow systems. - Ivan Fumagalli:
A reduced 3D-0D FSI model of the aortic valve including leaflets curvature. - Jian-Wei Zhang, Lei Lv, Yawei Luo, Hao-Zhe Feng, Yi Yang, Wei Chen:
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes. - Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Minkyu Kim, Young-Jin Park, Jisu Jeong, Seungjae Jung:
One4all User Representation for Recommender Systems in E-commerce. - Isaac Dunn, Hadrien Pouget, Daniel Kroening, Tom Melham:
Exposing Previously Undetectable Faults in Deep Neural Networks. - Aitor Arjona, Pedro García López, Josep Sampé, Aleksander Slominski, Lionel Villard:
Triggerflow: Trigger-based Orchestration of Serverless Workflows. - Jianbiao Mei, Mengmeng Wang, Yeneng Lin, Yong Liu:
TransVOS: Video Object Segmentation with Transformers. - Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan:
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL. - Jialu Liu, Tianqi Liu, Cong Yu:
NewsEmbed: Modeling News through Pre-trained Document Representations. - Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez:
Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance. - Kaiyang Zhou, Chen Change Loy, Ziwei Liu:
Semi-Supervised Domain Generalization with Stochastic StyleMatch. - Fang Wang, Weiguo Li, Wendi Bao, Zhonglu Lv:
Gauss-Seidel Method with Oblique Direction. - Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. - Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Sara Wells, Xujiong Ye, James M. Brown:
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. - Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit:
ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. - Anshuman Chhabra, Adish Singla, Prasant Mohapatra:
Fair Clustering Using Antidote Data. - Jon M. Kleinberg, Robert Kleinberg, Sigal Oren:
Optimal Stopping with Behaviorally Biased Agents: The Role of Loss Aversion and Changing Reference Points. - María Barbero-Liñán, David Martín de Diego:
Extended retraction maps: a seed of geometric integrators. - Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen:
Robust Mutual Learning for Semi-supervised Semantic Segmentation. - Dong Quan Vu, Patrick Loiseau:
Colonel Blotto Games with Favoritism: Competitions with Pre-allocations and Asymmetric Effectiveness. - Mohd Khizir Siddiqui, Amreen Ahmad, Om Pal, Tanvir Ahmad:
CoRank: A clustering cum graph ranking approach for extractive summarization. - Waldo Gálvez, Arindam Khan, Mathieu Mari, Tobias Mömke, Madhusudhan Reddy Pittu, Andreas Wiese:
A 4-Approximation Algorithm for Maximum Independent Set of Rectangles. - Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. - Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. - Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan:
Asymptotics of representation learning in finite Bayesian neural networks. - Da Ma, Vincent Chow, Karteek Popuri, Mirza Faisal Beg:
Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition. - Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic:
A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT. - Michael Crosscombe, Jonathan Lawry:
The Impact of Network Connectivity on Collective Learning. - Madison Cooley, Casey S. Greene, Davis Issac, Milton Pividori, Blair D. Sullivan:
Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. - David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson:
Markpainting: Adversarial Machine Learning meets Inpainting. - Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder Singh:
Reward is enough for convex MDPs. - Engel Lefaucheux, Joël Ouaknine, David Purser, James Worrell:
Porous Invariants. - Arie Gurfinkel, Sharon Shoham, Yakir Vizel:
Quantifiers on Demand. - Joshua J. Myszewski, Emily Klossowski, Patrick Meyer, Kristin Bevil, Lisa Klesius, Kristopher M. Schroeder:
Validating GAN-BioBERT: A Methodology For Assessing Reporting Trends In Clinical Trials. - Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu:
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection. - Shayan Eskandari, Mehdi Salehi, Wanyun Catherine Gu, Jeremy Clark:
SoK: Oracles from the Ground Truth to Market Manipulation. - Tom Zahavy, Brendan O'Donoghue, André Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh:
Discovering Diverse Nearly Optimal Policies withSuccessor Features. - Alexander Khazatsky, Ashvin Nair, Daniel Jing, Sergey Levine:
What Can I Do Here? Learning New Skills by Imagining Visual Affordances. - Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz:
What Matters for Adversarial Imitation Learning? - Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine Süsstrunk:
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks. - Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
Incorporating Visual Layout Structures for Scientific Text Classification. - Mohamed El Banani, Justin Johnson:
Bootstrap Your Own Correspondences. - Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri:
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks. - Anindita Maiti, Keegan Stoner, James Halverson:
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators. - Jeremy E. Kozdon, Brittany A. Erickson, Tobias Harvey:
A Non-stiff Summation-By-Parts Finite Difference Method for the Wave Equation in Second Order Form: Characteristic Boundary Conditions and Nonlinear Interfaces. - Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng:
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning. - Samir Datta, Kishlaya Jaiswal:
Parallel Polynomial Permanent Mod Powers of 2 and Shortest Disjoint Cycles. - Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud:
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks. - Christos H. Papadimitriou, Binghui Peng:
Public Good Games in Directed Networks. - Rui Meng, Herbie Lee, Kristofer E. Bouchard:
Collaborative Nonstationary Multivariate Gaussian Process Model. - Arghya Datta, S. Joshua Swamidass:
Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations. - Vladimir M. Ivanov, Anton Krivtsov, Sergey Strelkov, Dmitry Gulyaev, Denis Godanyuk, Nikolay Kalakutsky, Artyom Pavlov, Marina Petropavloskaya, Alexander Smirnov, Andrew Yaremenko:
Surgical navigation systems based on augmented reality technologies. - Md Sadman Sakib, Hailey Baez, David Paulius, Yu Sun:
Evaluating Recipes Generated from Functional Object-Oriented Network. - Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon:
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. - Dan Rasin, Orna Grumberg, Sharon Shoham:
Modular Verification of Concurrent Programs via Sequential Model Checking. - Charles H. Martin, Michael W. Mahoney:
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics. - Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. - Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Implicit Representations of Meaning in Neural Language Models. - Ruben Tolosana, Rubén Vera-Rodríguez, Carlos Gonzalez-Garcia, Julian Fiérrez, Santiago Rengifo, Aythami Morales, Javier Ortega-Garcia, Juan-Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moisés Díaz, Miguel A. Ferrer, Marta Gomez-Barrero, Ilya A. Hodashinsky, Konstantin S. Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szücs, Bence Kovári, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin:
ICDAR 2021 Competition on On-Line Signature Verification. - Fangwei Ye, Salim El Rouayheb:
Intermittent Private Information Retrieval with Application to Location Privacy. - Md Saroar Jahan, Mourad Oussalah:
A systematic review of Hate Speech automatic detection using Natural Language Processing. - Ofek Rafaeli, Omri Abend, Leshem Choshen, Dmitry Nikolaev:
Part of Speech and Universal Dependency effects on English Arabic Machine Translation. - Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Higher-order Derivatives of Weighted Finite-state Machines. - Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. - Suraj Mahawar, Ajay Pratap:
Covid-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model. - Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler:
Motif Prediction with Graph Neural Networks. - Preetam Nandy, Divya Venugopalan, Chun Lo, Shaunak Chatterjee:
A/B Testing for Recommender Systems in a Two-sided Marketplace. - Dongyun Han, Gorakh Parsad, Hwiyeon Kim, Jaekyom Shim, Oh-Sang Kwon, Kyung A. Son, Jooyoung Lee, Isaac Cho, Sungahn Ko:
HisVA: A Visual Analytics System for Studying History. - Mohammad Arani, Saeed Abdolmaleki, Maryam Maleki, Mohsen Momenitabar, Xian Liu:
A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port. - Mike Wu, Noah D. Goodman, Stefano Ermon:
Improving Compositionality of Neural Networks by Decoding Representations to Inputs. - Constantinos Psomas, Ioannis Krikidis:
SWIPT with Intelligent Reflecting Surfaces under Spatial Correlation. - Sajad Khodadadian, Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash:
Information Theoretic Measures for Fairness-aware Feature Selection. - Margaret P. Chapman, Michael Fauss, H. Vincent Poor, Kevin M. Smith:
Risk-sensitive safety analysis via state-space augmentation. - Ran Zmigrod, Tim Vieira, Ryan Cotterell:
On Finding the K-best Non-projective Dependency Trees. - Haitham H. Esmat, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim:
Resource allocation for D2D-Based AMI Communications Underlaying LTE Cellular Networks. - Peter Hase, Harry Xie, Mohit Bansal:
Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals. - Piyush K. Sharma, Adrienne Raglin:
Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment. - Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. - Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong:
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. - Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman:
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? - Wing Chau Ng, Chuandong Li:
Classification of MIMO Equalizers. - Jeffrey S. Ovall, Samuel E. Reynolds:
Quadrature for Implicitly-defined Finite Element Functions on Curvilinear Polygons. - Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines:
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning. - Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa, Cláudia Maria de Almeida, Marcos Benedito Schimalski, Dário Augusto Borges Oliveira:
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data. - Yulin Zhang, Dylan A. Shell:
Lattices of sensors reconsidered when less information is preferred. - Octavio Alberto Agustín-Aquino, Jeffery Liu, Guerino Mazzola:
Exploring Exotic Counterpoint Compositions. - Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister:
Invariant Policy Learning: A Causal Perspective. - Alessio Russo:
Some Ethical Issues in the Review Process of Machine Learning Conferences. - Vivien Nguyen, Sunnie S. Y. Kim:
Cleaning and Structuring the Label Space of the iMet Collection 2020. - Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. - Eric Bunch, Jeffery Kline, Daniel Dickinson, Suhaas Bhat, Glenn Fung:
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection. - Emre Can Kaya, Sebastian Schwarz, Ioan Tabus:
Refining the bounding volumes for lossless compression of voxelized point clouds geometry. - Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. - Zaghloul Saad Zaghloul, Nelly Elsayed, Chengcheng Li, Magdy A. Bayoumi:
Green IoT System Architecture for Applied Autonomous Network Cybersecurity Monitoring. - Mohammad Mahdi Dehshibi, Alessandro Chiolerio, Anna Nikolaidou, Richard Mayne, Antoni Gandia, Mona Ashtari, Andrew Adamatzky:
On stimulating fungi Pleurotus ostreatus with Cortisol. - Dimitris Bertsimas, Agni Orfanoudaki:
Pricing Algorithmic Insurance. - Clara Vania, Phu Mon Htut, William Huang, Dhara A. Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman:
Comparing Test Sets with Item Response Theory. - Vishnu V. Narayan, Mashbat Suzuki, Adrian Vetta:
Two Birds With One Stone: Fairness and Welfare via Transfers. - M. Ali Vosoughi, Axel Wismüller:
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. - Babatunji Omoniwa, Boris Galkin, Ivana Dusparic:
Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning. - Babatunji Omoniwa, Riaz Hussain, Muhammad Adil, Atif Shakeel, Ahmed Kamal Tahir, Qadeer Ul Hasan, Shahzad Ali Malik:
An Optimal Relay Scheme for Outage Minimization in Fog-based Internet-of-Things (IoT) Networks. - Louis Castricato, Stephen Fitz, Won Young Shin:
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations. - Ashkan Kazemi, Kiran Garimella, Devin Gaffney, Scott Hale:
Claim Matching Beyond English to Scale Global Fact-Checking. - Yongsheng Cao, Hao Wang, Demin Li, Guanglin Zhang:
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning. - Sheng Tan, Jie Yang:
Fine-grained Finger Gesture Recognition Using WiFi Signals. - Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri:
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. - Linghan Zhang, Jie Yang:
A Continuous Liveness Detection for Voice Authentication on Smart Devices. - Sheng Tan, Jie Yang:
Object Sensing for Fruit Ripeness Detection Using WiFi Signals. - Anthony Gómez-Fonseca, Roxana Smarandache, David G. M. Mitchell:
Necessary and Sufficient Girth Conditions for LDPC Tanner Graphs with Denser Protographs. - Sheng Tan, Jie Yang:
Multi-User Activity Recognition and Tracking Using Commodity WiFi. - Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih:
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. - Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li:
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing. - Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang:
Conversational Question Answering: A Survey. - Oliver Korten:
The Hardest Explicit Construction. - Sílvia Casacuberta, Karina Halevy, Damián E. Blasi:
Evaluating Word Embeddings with Categorical Modularity. - Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang:
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery. - Antonello Rosato, Massimo Panella, Denis Kleyko:
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. - Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi:
Efficient Passage Retrieval with Hashing for Open-domain Question Answering. - Andrew Adamatzky:
Towards proteinoid computers. - Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang:
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. - Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. - Zanbo Wang, Wei Wei, Xianling Mao, Shanshan Feng, Pan Zhou, Zhiyong He, Sheng Jiang:
Exploiting Global Contextual Information for Document-level Named Entity Recognition. - Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang:
High-Quality Diversification for Task-Oriented Dialogue Systems. - Kaden Griffith, Jugal Kalita:
Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text. - Tongjia Zheng, Hai Lin:
Field Estimation using Robotic Swarms through Bayesian Regression and Mean-Field Feedback. - Jiachun Pan, Yonglong Li, Vincent Y. F. Tan:
Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints. - Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo:
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. - Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka:
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. - Tongjia Zheng, Qing Han, Hai Lin:
Feedback Interconnected Mean-Field Estimation and Control. - Hiroshi Kajino:
A Differentiable Point Process with Its Application to Spiking Neural Networks. - Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. - Rakhmatulin Ildar, Eugene Pomazov:
Low-cost Stereovision system (disparity map) for few dollars. - Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin:
Learn to Predict Equilibria via Fixed Point Networks. - Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication. - Nate Veldt, Austin R. Benson, Jon M. Kleinberg:
The Generalized Mean Densest Subgraph Problem. - Vedant Bhandari, Erkan Kayacan:
Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process. - Hantang Liu, Wentong Li, Jianke Zhu:
Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction. - Jari Korhonen, Yicheng Su, Junyong You:
Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling. - Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. - Sina Ghiassian, Richard S. Sutton:
An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task. - Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu:
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. - (Withdrawn) A systematic mapping on quantum software development in the context of software engineering.
- Victor Chen, Xuhai Xu, Richard Li, Yuanchun Shi, Shwetak N. Patel, Yuntao Wang:
Understanding the Design Space of Mouth Microgestures. - Khushi Shah, Aryan Shah, Charmi Shah, Devansh Shah, Mustafa Africawala, Rushabh Shah, Nishant Doshi:
Proposed DBMS for OTT platforms in line with new age requirements. - Yilun Zhu, Sameer Pradhan, Amir Zeldes:
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres. - Nada AlMarwani, Mona T. Diab:
Discrete Cosine Transform as Universal Sentence Encoder. - Salar Asayesh, Mo Chen, Mehran Mehrandezh, Kamal Gupta:
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control. - Oren Ish-Shalom, Shachar Itzhaky, Noam Rinetzky, Sharon Shoham:
Putting the Squeeze on Array Programs: Loop Verification via Inductive Rank Reduction. - Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. - Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover:
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data. - Xinyi Zhang, Keisuke Koyama, Yukiyasu Domae, Weiwei Wan, Kensuke Harada:
A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking. - Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. - Canasai Kruengkrai, Junichi Yamagishi, Xin Wang:
A Multi-Level Attention Model for Evidence-Based Fact Checking. - Tuan Anh Nguyen Dang, Dat Thanh Nguyen:
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net. - Zhongjian Wang, Jack Xin, Zhiwen Zhang:
Convergence analysis of a Lagrangian numerical scheme in computing effective diffusivity of 3D time-dependent flows. - Zhe Liu, Yufan Guo, Jalal Mahmud:
When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis. - Chao-Chun Hsu, Eric Lind, Luca Soldaini, Alessandro Moschitti:
Answer Generation for Retrieval-based Question Answering Systems. - Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He:
RevCore: Review-augmented Conversational Recommendation. - Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba:
A Generalizable Approach to Learning Optimizers. - Hojin Lee, Cheolhyeon Kwon:
Distributed Control-Estimation Synthesis for Stochastic Multi-Agent Systems via Virtual Interaction between Non-neighboring Agents. - Michael Ruderman:
Convergent dynamics of optimal nonlinear damping control. - Kai Höfig, Marc Zeller, Reiner Heilmann:
ALFRED: a methodology to enable component fault trees for layered architectures. - Oded Padon, Jochen Hoenicke, Kenneth L. McMillan, Andreas Podelski, Mooly Sagiv, Sharon Shoham:
Temporal Prophecy for Proving Temporal Properties of Infinite-State Systems. - Truong Son-Hy, Risi Kondor:
Multiresolution Graph Variational Autoencoder. - Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng:
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. - Jef Stegen, Stefan Dutré, Joe Zhensheng Guo, Marc Zeller, Stefan Rothbauer:
Meta model application for consistency management of models for avionic systems design. - Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
Exploring Discourse Structures for Argument Impact Classification. - Tuan-Anh D. Nguyen, Hieu M. Vu, Nguyen Hong Son, Minh-Tien Nguyen:
A Span Extraction Approach for Information Extraction on Visually-Rich Documents. - Tuan Anh Nguyen Dang, Duc Thanh Hoang, Quang Bach Tran, Chih-Wei Pan, Thanh-Dat Nguyen:
End-to-End Hierarchical Relation Extraction for Generic Form Understanding. - Yongxing Wang:
A monolithic one-velocity-field optimal control formulation for fluid-structure interaction problems with large solid deformation. - Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. - Qinyan Dai, Juncheng Li, Qiaosi Yi, Faming Fang, Guixu Zhang:
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation. - Bogdan Trasnea, Cosmin Ginerica, Mihai V. Zaha, Gigel Macesanu, Claudiu Pozna, Sorin Mihai Grigorescu:
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots. - Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su:
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving. - Bac Nguyen Cong, Fabien Cardinaux:
NVC-Net: End-to-End Adversarial Voice Conversion. - Jiawei Huang, Nan Jiang:
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction. - Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels. - Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation. - Hanne Hardering, Simon Praetorius:
Tangential Errors of Tensor Surface Finite Elements. - Nicolas Vecoven, Damien Ernst, Guillaume Drion:
Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning. - Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu:
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. - Xiaoying Dai, Yan Pan, Bin Yang, Aihui Zhou:
Convergence and Optimal Complexity of the Adaptive Planewave Method for Eigenvalue Computations. - Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin:
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare. - Martino Trevisan, Luca Vassio, Danilo Giordano:
Debate on Online Social Networks at the Time of COVID-19: An Italian Case Study. - Myoung-Hoon Lee, Jun Moon:
Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach. - Amir Ban, Avi Cohen, Shahar Dobzinski, Itai Ashlagi:
Simple Economies are Almost Optimal. - Chao Zhang, Samson Lasaulce, Martin Hennebel, Lucas Saludjian, Patrick Panciatici, H. Vincent Poor:
Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling. - Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. - Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao:
Why Machine Reading Comprehension Models Learn Shortcuts? - Fangying Chen, Junyoung Park, Jinkyoo Park:
A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group. - Kalev Alpernas, Aurojit Panda, Alexander Rabinovich, Mooly Sagiv, Scott Shenker, Sharon Shoham, Yaron Velner:
Some Complexity Results for Stateful Network Verification. - Kunwoo Park, Zhufeng Pan, Jungseock Joo:
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text. - Seyed Mohammadhossein Tabatabaee, Jean-Yves Le Boudec:
Deficit Round-Robin: A Second Network Calculus Analysis. - Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Towards Unified Surgical Skill Assessment. - Michael Elkin, Shaked Matar:
Ultra-Sparse Near-Additive Emulators. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. - Rohan Giriraj, Sinnu Susan Thomas:
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions. - Jennifer C. White, Ryan Cotterell:
Examining the Inductive Bias of Neural Language Models with Artificial Languages. - Luisa Bentivogli, Mauro Cettolo, Marco Gaido, Alina Karakanta, Alberto Martinelli, Matteo Negri, Marco Turchi:
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? - Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making. - Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard:
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. - Anastasiya Gorodilova, Natalia N. Tokareva, Sergey Agievich, Claude Carlet, Valeria Idrisova, Konstantin Kalgin, D. Kolegov, Alexandr Kutsenko, Nicky Mouha, Marina Pudovkina, Aleksei Udovenko:
The Seventh International Olympiad in Cryptography NSUCRYPTO: problems and solutions. - Ciprian Orhei, Silviu Vert, Radu Vasiu:
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications. - Johannes Gerster, Marcel Sarstedt, Eric M. S. P. Veith, Sebastian Lehnhoff, Lutz Hofmann:
Comparison of Random Sampling and Heuristic Optimization-Based Methods for Determining the Flexibility Potential at Vertical System Interconnections. - Yova Kementchedjhieva, Mark Anderson, Anders Søgaard:
John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs. - Chen Liang, Yu Wu, Tianfei Zhou, Wenguan Wang, Zongxin Yang, Yunchao Wei, Yi Yang:
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation. - Jeffrey O. Shallit:
Hilbert's spacefilling curve described by automatic, regular, and synchronized sequences. - Nils Weidmann, Suganya Kannan, Anthony Anjorin:
Tolerance in Model-Driven Engineering: A Systematic Literature Review with Model-Driven Tool Support. - Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast:
Generating Informative Conclusions for Argumentative Texts. - Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang:
Towards Robustness of Text-to-SQL Models against Synonym Substitution. - Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He:
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. - (Withdrawn) Evidence-based Factual Error Correction.
- James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy:
Database Reasoning Over Text. - Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics. - Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. - Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu:
Using Predicted Weights for Ad Delivery. - Marcel Sarstedt, Thomas Leveringhaus, Leonard Kluß, Lutz Hofmann:
Comparison of Convexificated SQCQP and PSO for the Optimal Transmission System Operation based on Incremental In-Phase and Quadrature Voltage Controlled Transformers. - Kai Li, Chenyue Jiao:
The data paper as a socio-linguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstracts. - Ayed M. Alrashdi:
Asymptotic Characterisation of Regularised Zero-Forcing Receiver for Imperfect and Correlated Massive MIMO Systems with Optimal Power Allocation. - Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. - Junyoung Park, Jaehyeong Chun, Sang-Hun Kim, Youngkook Kim, Jinkyoo Park:
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning. - Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? - Haisheng Su, Jinyuan Feng, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao:
TSI: Temporal Saliency Integration for Video Action Recognition. - Rob Stevenson, Jan Westerdiep:
Minimal residual space-time discretizations of parabolic equations: Asymmetric spatial operators. - Joppe Wouts, Janna de Boer, Alban Voppel, Sanne Brederoo, Sander van Splunter, Iris Sommer:
belabBERT: a Dutch RoBERTa-based language model applied to psychiatric classification. - Henry W. J. Reeve, Ata Kabán:
Statistical optimality conditions for compressive ensembles. - Ruisheng Cao, Lu Chen, Zhi Chen, Yanbin Zhao, Su Zhu, Kai Yu:
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations. - Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. - Sarojadevi Palani, Prabhu Rajagopal, Sidharth Pancholi:
T-BERT - Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT. - Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt:
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions. - Gal Vardi, Gilad Yehudai, Ohad Shamir:
Learning a Single Neuron with Bias Using Gradient Descent. - Sebastin Santy, Anku Rani, Monojit Choudhury:
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices. - Fabien Dufoulon, Shay Kutten, William K. Moses Jr.:
Efficient Deterministic Leader Election for Programmable Matter. - Pritam Anand, Reshma Rastogi, Suresh Chandra:
Improvement over Pinball Loss Support Vector Machine. - Efi Psomopoulou, Nicholas Pestell, Fotios Papadopoulos, John Lloyd, Zoe Doulgeri, Nathan F. Lepora:
A Robust Controller for Stable 3D Pinching using Tactile Sensing. - Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li:
DynaEval: Unifying Turn and Dialogue Level Evaluation. - Yohann Rioual, Yannick Le Moullec, Johann Laurent, Muhidul Islam Khan, Jean-Philippe Diguet:
Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes. - Chukri Soueidi, Marius Monnier, Ali Kassem, Yliès Falcone:
Efficient and Expressive Bytecode-Level Instrumentation for Java Programs. - Nael Rahman, Vladimir Shpilrain:
MOBS (Matrices Over Bit Strings) public key exchange. - Xin-Long Luo, Hang Xiao:
Tikhonov regularization continuation methods and the trust-region updating strategy for linearly equality-constrained optimization problems. - Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. - Meyer Scetbon, Gabriel Peyré, Marco Cuturi:
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs. - Lee Livsey, Helen Petrie, Siamak F. Shahandashti, Aidan Fray:
Performance and Usability of Visual and Verbal Verification of Word-based Key Fingerprints. - Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay:
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. - Wei Liao, Xiaohui Wei, Jizhou Lai:
Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity. - Abdellah Aznag, Vineet Goyal, Noémie Périvier:
MNL-Bandit with Knapsacks. - Shihua Huang, Luc Waeijen, Henk Corporaal:
How Flexible is Your Computing System. - Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez:
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime. - Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang:
Towards Emotional Support Dialog Systems. - Ajitabh Kumar:
Multi-stage, multi-swarm PSO for joint optimization of well placement and control. - Nishit Narang, Manoj Kumar Ganji, Amit Anil Nanavati:
Your Tribe Decides Your Vibe: Analyzing Local Popularity in the US Patent Citation Network. - Ho-Hsiang Wu, Magdalena Fuentes, Juan Pablo Bello:
Exploring modality-agnostic representations for music classification. - Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger:
Towards Deeper Deep Reinforcement Learning. - Oliver Urbann, Oliver Bredtmann, Maximilian Otten, Jan-Philip Richter, Thilo Bauer, Dávid Zibriczky:
Online and Real-Time Tracking in a Surveillance Scenario. - Stjepan Gros, Ivan Kovacevic, Ivan Dujmic, Matej Petrinovic:
Controlled Update of Software Components using Concurrent Exection of Patched and Unpatched Versions. - Zuoguang Wang, Hongsong Zhu, Peipei Liu, Limin Sun:
Social Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examples. - Manuel M. T. Chakravarty, Nikos Karayannidis, Aggelos Kiayias, Michael Peyton Jones, Polina Vinogradova:
Babel Fees via Limited Liabilities. - Ishani Mondal, Yufang Hou, Charles Jochim:
End-to-End NLP Knowledge Graph Construction. - Paras Bhatt, Anthony Rios:
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. - Takumi Ideue, Takuya Mieno, Mitsuru Funakoshi, Yuto Nakashima, Shunsuke Inenaga, Masayuki Takeda:
On the approximation ratio of LZ-End to LZ77. - Peter Hansbo, Mats G. Larson:
Nitsche's Finite Element Method for Model Coupling in Elasticity. - Maliheh Roknizadeh, Hossein Monshizadeh Naeen:
Hybrid Ensemble optimized algorithm based on Genetic Programming for imbalanced data classification. - Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang:
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck. - Danila Rukhovich, Anna Vorontsova, Anton Konushin:
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection. - Matthias Groß, Dietlind Zühlke, Boris Naujoks:
Automating Speedrun Routing: Overview and Vision. - Sara Rajaee, Mohammad Taher Pilehvar:
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space. - Matthew L. Daggitt, Timothy G. Griffin:
Formally Verified Convergence of Policy-Rich DBF Routing Protocols. - Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein:
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. - Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He:
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. - Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan:
Figurative Language in Recognizing Textual Entailment. - Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian:
IrEne: Interpretable Energy Prediction for Transformers. - Karel J. in 't Hout, Jacob Snoeijer:
Numerical valuation of American basket options via partial differential complementarity problems. - Forrest Davis, Marten van Schijndel:
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning. - Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. - Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Alexei I. Abrikosov, Vijay Natarajan, Ingrid Hotz:
Visual Analysis of Electronic Densities and Transitions in Molecules. - Melih Kandemir, Abdullah Akgül, Manuel Haußmann, Gozde Unal:
Evidential Turing Processes. - Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang:
DFGC 2021: A DeepFake Game Competition. - Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. - Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu:
A Unified Generative Framework for Various NER Subtasks. - Xiaokang Chen, Yuhui Yuan, Gang Zeng, Jingdong Wang:
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision. - Jayadev Billa:
Improving low-resource ASR performance with untranscribed out-of-domain data. - Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. - Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui:
Lower Perplexity is Not Always Human-Like. - Parul Khurana, Geetha Ganesan, Gulshan Kumar, Kiran Sharma:
A weighted unified informetrics based on Scopus and WoS. - Prosenjit Bose, Darryl Hill, Aurélien Ooms:
Improved Spanning on Theta-5. - Uri Kirstein, Shelly Grossman, Michael Mirkin, James Wilcox, Ittay Eyal, Mooly Sagiv:
Phoenix: A Formally Verified Regenerating Vault. - Anudit Nagar, Cuong Tran, Ferdinando Fioretto:
A Privacy-Preserving and Trustable Multi-agent Learning Framework. - Dmitry Kosarev, Dmitry Boulytchev:
Generic Programming with Combinators and Objects. - Vishal Vinod, Susmit Agrawal, Vipul Gaurav, Pallavi R, Savita Choudhary:
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access. - Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger:
Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. - Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang:
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles. - Chiyu Song, Hongliang He, Huachuan Qiu, Haofei Yu, Zhenzhong Lan:
Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection. - Leonardo A. Fanzeres, Climent Nadeu:
Sound-to-Imagination: Unsupervised Crossmodal Translation Using Deep Dense Network Architecture. - Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard H. Hovy:
More Identifiable yet Equally Performant Transformers for Text Classification. - Jonathan Dumas, Colin Cointe, Xavier Fettweis, Bertrand Cornélusse:
Deep learning-based multi-output quantile forecasting of PV generation. - Tao Wang, Frank Kirchner:
Grasp stability prediction with time series data based on STFT and LSTM. - Xuming Ye, Xiaoye Xue, Wenlong Tian, Zhiyong Xu, Weijun Xiao, Ruixuan Li:
Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression. - Pierre Gutierrez, Antoine Cordier, Thaïs Caldeira, Théophile Sautory:
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection. - Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár:
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai, Jean-Marie Gorce:
Cooperative Encoding and Decoding of Mixed Delay Traffic under Random-User Activity. - Charlotte Frenkel, David Bol, Giacomo Indiveri:
Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence. - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. - Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li:
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. - Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. - David Lindner, Hoda Heidari, Andreas Krause:
Addressing the Long-term Impact of ML Decisions via Policy Regret. - Joseph Chen, Ko-Wei Tai, Wen-Chin Chen, Ming Ouhyoung:
Robust Voxelization and Visualization by Improved Tetrahedral Mesh Generation. - Giacomo Indiveri:
Introducing "Neuromorphic Computing and Engineering". - Tao Chen, Miqing Li:
Multi-Objectivizing Software Configuration Tuning (for a single performance concern). - Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian:
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. - Gautam Kamath, Xingtu Liu, Huanyu Zhang:
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data. - Tim Roughgarden:
Transaction Fee Mechanism Design. - Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild, C. Bayan Bruss, Tom Goldstein:
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training. - Stefano Sinisi, Vadim Alimguzhin, Toni Mancini, Enrico Tronci:
Reconciling interoperability with efficient Verification and Validation within open source simulation environments. - Yuan Gao, Jian-Guo Liu:
Random walk approximation for irreversible drift-diffusion process on manifold: ergodicity, unconditional stability and convergence. - Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch:
Decision Transformer: Reinforcement Learning via Sequence Modeling. - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. - Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox:
NeRP: Neural Rearrangement Planning for Unknown Objects. - Swarnadeep Saha, Prateek Yadav, Mohit Bansal:
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. - Jong-Chyi Su, Subhransu Maji:
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. - David Coimbra, Sofia Reis, Rui Abreu, Corina S. Pasareanu, Hakan Erdogmus:
On using distributed representations of source code for the detection of C security vulnerabilities. - Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique, Imran Naseem, Roberto Togneri, Mohammed Bennamoun:
q-RBFNN: A Quantum Calculus-based RBF Neural Network. - Matthias C. Caro:
Undecidability of Learnability. - J. Walker Orr, Nathaniel Russell:
Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback. - Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi:
Container: Context Aggregation Network. - Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu:
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning. - Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang:
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. - Daniel Gratzer:
Normalization for multimodal type theory. - Wen-Chin Huang, Kazuhiro Kobayashi, Yu-Huai Peng, Ching-Feng Liu, Yu Tsao, Hsin-Min Wang, Tomoki Toda:
A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion. - Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. - Amin Karbasi, Vahab S. Mirrokni, Mohammad Shadravan:
Parallelizing Thompson Sampling. - Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas:
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations. - Marco Cagrandi, Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara:
Learning to Select: A Fully Attentive Approach for Novel Object Captioning. - Enmao Diao, Jie Ding, Vahid Tarokh:
Gradient Assisted Learning. - Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek:
Unsharp Mask Guided Filtering. - Enmao Diao, Jie Ding, Vahid Tarokh:
SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients. - Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield:
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour. - Sohini Roy, Arunabha Sen:
A Leader-Follower Game Theoretic Approach to Arrest Cascading Failure in Smart Grid. - Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. - Biagio La Rosa, Roberto Capobianco, Daniele Nardi:
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. - Suejb Memeti, Sabri Pllana:
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach. - Joshua Feinglass, Yezhou Yang:
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. - Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi:
Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem. - Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, Andreas Stolcke, Ankur Gandhe:
Attention-based Contextual Language Model Adaptation for Speech Recognition. - Yannik Keller, Jan Mackensen, Steffen Eger:
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. - Hamza Anwar, Aashrith Vishwanath, Apurva Chunodkar, Qadeer Ahmed:
Comprehensive Energy Footprint Benchmarking Algorithm for Electrified Powertrains. - Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Lightweight Adapter Tuning for Multilingual Speech Translation. - Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? - Kamil Akhmetov:
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Evaluating the Efficacy of Summarization Evaluation across Languages. - Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou:
Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs. - Mazin Hnewa, Hayder Radha:
Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection. - Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi:
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. - Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff:
Minimax Optimization with Smooth Algorithmic Adversaries. - Ziyun Li, Xinshao Wang, Haojin Yang, Di Hu, Neil Martin Robertson, David A. Clifton, Christoph Meinel:
Not All Knowledge Is Created Equal. - Yuan Tian, Ke Zhou, Dan Pelleg:
What and How long: Prediction of Mobile App Engagement. - Christine Herlihy, Rachel Rudinger:
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. - Isaac Grosof, Kunhe Yang, Ziv Scully, Mor Harchol-Balter:
Nudge: Stochastically Improving upon FCFS. - Shujian Zhang, Chengyue Gong, Eunsol Choi:
Knowing More About Questions Can Help: Improving Calibration in Question Answering. - Robin Weishaupt, Jörg Rothe:
Stability of Special Graph Classes. - Mina Khan, P. Srivatsa, Advait Rane, Shriram Chenniappa, Asadali Hazariwala, Pattie Maes:
Personalizing Pre-trained Models. - Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas:
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. - Garrick Cabour, Andrés Morales, Élise Ledoux, Samuel Bassetto:
Towards an Explanation Space to Align Humans and Explainable-AI Teamwork. - Ryan Killea, Yun Li, Saeed Bastani, Paul McLachlan:
DeepCompress: Efficient Point Cloud Geometry Compression. - Peihao Zhu, Rameen Abdal, John Femiani, Peter Wonka:
Barbershop: GAN-based Image Compositing using Segmentation Masks. - Matthew A. Wright, Joseph E. Gonzalez:
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines. - Salman Ahmadi, Girish N. Nair, Erik Weyer:
Granger Causality from Quantized Measurements. - Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar:
Question Answering Over Temporal Knowledge Graphs. - Taisuke Kobayashi:
Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework. - Jiacheng Xu, Greg Durrett:
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. - George Boateng, Peter Hilpert, Guy Bodenmann, Mona Neysari, Tobias Kowatsch:
"You made me feel this way": Investigating Partners' Influence in Predicting Emotions in Couples' Conflict Interactions using Speech Data. - Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. - Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. - Jacopo Biggiogera, George Boateng, Peter Hilpert, Matthew J. Vowels, Guy Bodenmann, Mona Neysari, Fridtjof Nussbeck, Tobias Kowatsch:
BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions. - Alexander Matyasko, Lap-Pui Chau:
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. - Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer:
Luna: Linear Unified Nested Attention. - Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. - Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez:
Niffler: A Reference Architecture and System Implementation for View Discovery over Pathless Table Collections by Example. - Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu:
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation. - Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. - Ya Zhou, Guopeng Zhang, Kezhi Wang, Kun Yang:
Matching-Theory-Based Multi-User Cooperative Computing Framework. - Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. - Aparna Balagopalan, Jekaterina Novikova:
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection. - Fubang Zhao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu:
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning. - Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. - Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? - Wang Xu, Kehai Chen, Tiejun Zhao:
Discriminative Reasoning for Document-level Relation Extraction. - Jason Li, Thatchaphol Saranurak:
Deterministic Weighted Expander Decomposition in Almost-linear Time. - Xingzhi Guo, Baojian Zhou, Steven Skiena:
Subset Node Representation Learning over Large Dynamic Graphs. - Wencong Li, Lei Liu, Brian M. Kurkoski:
Irregularly Clipped Sparse Regression Codes. - Honghao Wei, Xin Liu, Lei Ying:
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes. - Yuchen Li, Andrej Risteski:
The Limitations of Limited Context for Constituency Parsing. - Matt Wilber, William Timkey, Marten van Schijndel:
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text. - Meng Jiang:
Cross-Network Learning with Partially Aligned Graph Convolutional Networks. - Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, Yu Su:
A Systematic Investigation of KB-Text Embedding Alignment at Scale. - Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan:
An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems. - Vasilis Gkatzelis, Emmanouil Pountourakis, Alkmini Sgouritsa:
Resource-Aware Cost-Sharing Mechanisms with Priors. - Hongyuan Diao, Fuzhong Nian, Xuelong Yu, Xirui Liu, Xinhao Liu:
The Emotion coding and Propagation based on improved Genetic algorithm. - Roberto Vega, Leonardo Flores, Russell Greiner:
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. - Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo:
Data-Driven Design-by-Analogy: State of the Art and Future Directions. - Weisong Wen, Li-Ta Hsu:
Towards Robust GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization. - Akio Nishimoto, Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga:
Position Heaps for Cartesian-tree Matching on Strings and Tries. - Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. - Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano, Kumari Deepshikha:
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation. - Hanh Hong-Phuc Vo, Hieu Trung Tran, Son T. Luu:
Automatically Detecting Cyberbullying Comments on Online Game Forums. - Jiao Sun, Nanyun Peng:
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia. - Kunchang Li, Xianhang Li, Yali Wang, Jun Wang, Yu Qiao:
CT-Net: Channel Tensorization Network for Video Classification. - Hyun-Jin Park, Pai Zhu, Ignacio López-Moreno, Niranjan Subrahmanya:
Noisy student-teacher training for robust keyword spotting. - Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu:
Exploring Memorization in Adversarial Training. - Michiel de Jong, Satyapriya Krishna, Anuva Agarwal:
Grounding Complex Navigational Instructions Using Scene Graphs. - Dai Shi, Andi Han, Yi Guo, Junbin Gao:
A Discussion On the Validity of Manifold Learning. - Piji Li, Shuming Shi:
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction. - Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. - Quanyu Liao, Yuezun Li, Xin Wang, Bin Kong, Bin Zhu, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu:
Imperceptible Adversarial Examples for Fake Image Detection. - Pengfei Xie, Linyuan Wang, Ruoxi Qin, Kai Qiao, Shuhao Shi, Guoen Hu, Bin Yan:
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout. - Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Bin Zhu, Youbing Yin, Qi Song, Xi Wu:
Transferable Adversarial Examples for Anchor Free Object Detection. - Sergey Verbitskiy, Viacheslav Vyshegorodtsev:
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition. - Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. - Kumar Abhishek, Ganesh Ghalme, Sujit Gujar, Yadati Narahari:
Sleeping Combinatorial Bandits. - Wanzheng Zhu, Suma Bhat:
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech. - Jan Wolff:
Piercing the Veil: Designs to Support Information Literacy on Social Platforms. - Guram Bezhanishvili, Nick Bezhanishvili, Jim de Groot:
A Coalgebraic Approach to Dualities for Neighborhood Frames. - Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord:
Semantic Palette: Guiding Scene Generation with Class Proportions. - Farhan Sadique, Ignacio Astaburuaga, Raghav Kaul, Shamik Sengupta, Shahriar Badsha, James Schnebly, Adam Cassell, Jeff Springer, Nancy Latourrette, Sergiu M. Dascalu:
Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE - A Cyberthreat Language. - Venelin Kovatchev, Phillip Smith, Mark G. Lee, Rory T. Devine:
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. - Chathura Nagoda Gamage, Matthew Stephenson, Vimukthini Pinto, Jochen Renz:
Deceptive Level Generation for Angry Birds. - Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai:
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment. - M. A. Barchiesi, Andrea Fronzetti Colladon:
Corporate core values and social responsibility: What really matters to whom. - Cheng-Der Fuh, Su-Chi Fuh, Yuan-Chen Liu, Chuan-Ju Wang:
Rényi Divergence in General Hidden Markov Models. - Olaf Steinbach, Carolina Urzúa-Torres, Marco Zank:
Towards coercive boundary element methods for the wave equation. - Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. - Gavin Suddrey, Ben Talbot, Frédéric Maire:
Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction. - Patricia Mellodge, Ada Diaconescu, Louisa Jane Di Felice:
Timing Configurations Affect the Macro-Properties of Multi-Scale Feedback Systems. - Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. - Lorenzo Steccanella, Simone Totaro, Anders Jonsson:
Hierarchical Representation Learning for Markov Decision Processes. - Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata:
Generalized Domain Adaptation. - Kaihui Liang, Weiyan Shi, Yoojung Oh, Jingwen Zhang, Zhou Yu:
Discovering Chatbot's Self-Disclosure's Impact on User Trust, Affinity, and Recommendation Effectiveness. - Juan Leon Alcazar, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbeláez, Bernard Ghanem, Fabian Caba Heilbron:
APES: Audiovisual Person Search in Untrimmed Video. - Siyuan Niu, Aida Todri-Sanial:
Analyzing crosstalk error in the NISQ era. - Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. - Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang:
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism. - Junyoung Park, Jinhyun Choo, Jinkyoo Park:
Convergent Graph Solvers. - Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression.