astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Automatic Catalog of RRLyrae from $\sim$ 14 million VVV Light Curves: How far can we go with traditional machine-learning?
• [cs.AI]Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
• [cs.AI]HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do
• [cs.AI]TransOMCS: From Linguistic Graphs to Commonsense Knowledge
• [cs.CL]ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
• [cs.CL]AdapterFusion: Non-Destructive Task Composition for Transfer Learning
• [cs.CL]Attribution Analysis of Grammatical Dependencies in LSTMs
• [cs.CL]Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
• [cs.CL]Biomedical Entity Representations with Synonym Marginalization
• [cs.CL]CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
• [cs.CL]Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi
• [cs.CL]Cross-Linguistic Syntactic Evaluation of Word Prediction Models
• [cs.CL]Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text
• [cs.CL]Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage
• [cs.CL]Defense of Word-level Adversarial Attacks via Random Substitution Encoding
• [cs.CL]Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks
• [cs.CL]Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
• [cs.CL]Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
• [cs.CL]HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
• [cs.CL]Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing
• [cs.CL]Identifying Necessary Elements for BERT’s Multilinguality
• [cs.CL]KPQA: A Metric for Generative Question Answering Using Word Weights
• [cs.CL]Knowledge Base Inference for Regular Expression Queries
• [cs.CL]Language (Re)modelling: Towards Embodied Language Understanding
• [cs.CL]Learning to Faithfully Rationalize by Construction
• [cs.CL]Low Resource Multi-Task Sequence Tagging — Revisiting Dynamic Conditional Random Fields
• [cs.CL]MedType: Improving Medical Entity Linking with Semantic Type Prediction
• [cs.CL]Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
• [cs.CL]Multi-head Monotonic Chunkwise Attention For Online Speech Recognition
• [cs.CL]Multilingual Unsupervised Sentence Simplification
• [cs.CL]Neural Entity Summarization with Joint Encoding and Weak Supervision
• [cs.CL]On the Spontaneous Emergence of Discrete and Compositional Signals
• [cs.CL]SciREX: A Challenge Dataset for Document-Level Information Extraction
• [cs.CL]Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
• [cs.CL]Selecting Informative Contexts Improves Language Model Finetuning
• [cs.CL]Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering
• [cs.CL]Sparse, Dense, and Attentional Representations for Text Retrieval
• [cs.CL]Structured Tuning for Semantic Role Labeling
• [cs.CL]Style Variation as a Vantage Point for Code-Switching
• [cs.CL]TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
• [cs.CL]Topological Sort for Sentence Ordering
• [cs.CL]Towards Controllable Biases in Language Generation
• [cs.CL]USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
• [cs.CL]Universal Adversarial Attacks with Natural Triggers for Text Classification
• [cs.CL]Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain
• [cs.CL]Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
• [cs.CL]Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter
• [cs.CL]XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
• [cs.CR]Studying Ransomware Attacks Using Web Search Logs
• [cs.CV]A Comprehensive Study on Visual Explanations for Spatio-temporal Networks
• [cs.CV]ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
• [cs.CV]Adversarial Synthesis of Human Pose from Text
• [cs.CV]Aggregation and Finetuning for Clothes Landmark Detection
• [cs.CV]An Efficient Integration of Disentangled Attended Expression and Identity FeaturesFor Facial Expression Transfer andSynthesis
• [cs.CV]CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
• [cs.CV]Computing the Testing Error without a Testing Set
• [cs.CV]Deepfake Forensics Using Recurrent Neural Networks
• [cs.CV]Deeply Cascaded U-Net for Multi-Task Image Processing
• [cs.CV]Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge
• [cs.CV]Domain Siamese CNNs for Sparse Multispectral Disparity Estimation
• [cs.CV]HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
• [cs.CV]Importance Driven Continual Learning for Segmentation Across Domains
• [cs.CV]Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
• [cs.CV]Investigating Class-level Difficulty Factors in Multi-label Classification Problems
• [cs.CV]MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
• [cs.CV]Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras
• [cs.CV]Occlusion resistant learning of intuitive physics from videos
• [cs.CV]PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution
• [cs.CV]Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos
• [cs.CV]Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
• [cs.CV]The AVA-Kinetics Localized Human Actions Video Dataset
• [cs.DC]Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging
• [cs.DC]Decentralized Edge-to-Cloud Load-balancing:Service Placement for the Internet of Things
• [cs.DC]How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI
• [cs.DC]Performance of Generalized Hypercubes in Dynamic Peer-to-Peer Networks
• [cs.DC]Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach
• [cs.DL]Getting Insights from a Large Corpus of Scientific Papers on Specialisted Comprehensive Topics — the Case of COVID-19
• [cs.HC]CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
• [cs.HC]Conceptual Design of Human-Drone Communication in Collaborative Environments
• [cs.HC]Review of Consumer Wearables in Emotion, Stress, Meditation, Sleep, and Activity Detection and Analysis
• [cs.HC]Workgroup Mapping: Visual Analysis of Collaboration Culture
• [cs.IR]Automatic Discourse Segmentation: Review and Perspectives
• [cs.IR]Bipartite Flat-Graph Network for Nested Named Entity Recognition
• [cs.IR]Do Neural Ranking Models Intensify Gender Bias?
• [cs.IR]Method for Customizable Automated Tagging: Addressing the Problem of Over-tagging and Under-tagging Text Documents
• [cs.IT]A Holistic Investigation on Terahertz Propagation and Channel Modeling toward Vertical HetNets
• [cs.IT]Achievable Rates of Concatenated Codes in DNA Storage under Substitution Errors
• [cs.IT]Generating Randomness from a Computable, Non-random Sequence of Qubits
• [cs.IT]Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO
• [cs.IT]Quantum arithmetic operations based on quantum Fourier transform on signed integers
• [cs.LG]Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
• [cs.LG]Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
• [cs.LG]Can a powerful neural network be a teacher for a weaker neural network?
• [cs.LG]DriveML: An R Package for Driverless Machine Learning
• [cs.LG]Exploring Private Federated Learning with Laplacian Smoothing
• [cs.LG]Generalization Error of Generalized Linear Models in High Dimensions
• [cs.LG]Hide-and-Seek: A Template for Explainable AI
• [cs.LG]Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?
• [cs.LG]Learning to Rank Intents in Voice Assistants
• [cs.LG]Multi-View Self-Attention for Interpretable Drug-Target Interaction Prediction
• [cs.LG]On the Benefits of Invariance in Neural Networks
• [cs.LG]Partially-Typed NER Datasets Integration: Connecting Practice to Theory
• [cs.LG]Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction
• [cs.LG]The Grammar of Interactive Explanatory Model Analysis
• [cs.NE]Angle-based Search Space Shrinking for Neural Architecture Search
• [cs.NE]Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
• [cs.RO]Fast Recovery of Robot Behaviors
• [cs.RO]Information-Collection in Robotic Process Monitoring: An Active Perception Approach
• [cs.RO]Learning Compliance Adaptation in Contact-Rich Manipulation
• [cs.RO]Lie Algebraic Unscented Kalman Filter for Pose Estimation
• [cs.RO]Towards thruster-assisted bipedal locomotion for enhanced efficiency and robustness
• [cs.SI]Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US
• [cs.SI]Secure Network Release with Link Privacy
• [econ.EM]Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?
• [econ.GN]How average is average? Temporal patterns in human behaviour as measured by mobile phone data — or why chose Thursdays
• [eess.IV]A Naturalness Evaluation Database for Video Prediction Models
• [eess.IV]Defocus Deblurring Using Dual-Pixel Data
• [eess.IV]Unsupervised Lesion Detection via Image Restoration with a Normative Prior
• [eess.SP]Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces
• [math.OC]Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
• [math.PR]Reduction principle for functionals of strong-weak dependent vector random fields
• [math.ST]Bayesian Characterizations of Properties of Stochastic Processes with Applications
• [math.ST]High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
• [math.ST]How to reduce dimension with PCA and random projections?
• [math.ST]Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions
• [math.ST]Posterior Convergence of Nonparametric Binary and Poisson Regression Under Possible Misspecifications
• [math.ST]Wavelet-based estimation in a semiparametric regression model
• [physics.soc-ph]Finding the Resistance Distance and Eigenvector Centrality from the Network’s Eigenvalues
• [physics.soc-ph]Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US
• [q-bio.NC]Manifold learning for brain connectivity
• [q-bio.QM]A continuous-time state-space model for rapid quality-control of Argos locations from animal-borne tags
• [stat.AP]Group Decisions based on Confidence Weighted Majority Voting
• [stat.ME]A Formal Causal Interpretation of the Case-Crossover Design
• [stat.ME]Multivariate Log-Skewed Distributions with normal kernel and their Applications
• [stat.ME]Parallel subgroup analysis of high-dimensional data via M-regression
• [stat.ME]Scaled Vecchia approximation for fast computer-model emulation
• [stat.ML]A Primer on Private Statistics
• [stat.ML]Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
• [stat.ML]Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
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• [astro-ph.IM]Automatic Catalog of RRLyrae from $\sim$ 14 million VVV Light Curves: How far can we go with traditional machine-learning?
Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo Granitto
http://arxiv.org/abs/2005.00220v1
• [cs.AI]Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna
http://arxiv.org/abs/2005.00153v1
• [cs.AI]HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do
Keith Curtis, George Awad, Shahzad Rajput, Ian Soboroff
http://arxiv.org/abs/2005.00463v1
• [cs.AI]TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
http://arxiv.org/abs/2005.00206v1
• [cs.CL]ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, Lucia Specia
http://arxiv.org/abs/2005.00481v1
• [cs.CL]AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych
http://arxiv.org/abs/2005.00247v1
• [cs.CL]Attribution Analysis of Grammatical Dependencies in LSTMs
Yiding Hao
http://arxiv.org/abs/2005.00062v1
• [cs.CL]Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
http://arxiv.org/abs/2005.00357v1
• [cs.CL]Biomedical Entity Representations with Synonym Marginalization
Mujeen Sung, Hwisang Jeon, Jinhyuk Lee, Jaewoo Kang
http://arxiv.org/abs/2005.00239v1
• [cs.CL]CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
Lei Shen, Yang Feng
http://arxiv.org/abs/2005.00329v1
• [cs.CL]Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi
Benjamin Muller, Benoit Sagot, Djamé Seddah
http://arxiv.org/abs/2005.00318v1
• [cs.CL]Cross-Linguistic Syntactic Evaluation of Word Prediction Models
Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
http://arxiv.org/abs/2005.00187v1
• [cs.CL]Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text
Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth
http://arxiv.org/abs/2005.00171v1
• [cs.CL]Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage
Ashish V. Thapliyal, Radu Soricut
http://arxiv.org/abs/2005.00246v1
• [cs.CL]Defense of Word-level Adversarial Attacks via Random Substitution Encoding
Zhaoyang Wang, Hongtao Wang
http://arxiv.org/abs/2005.00446v1
• [cs.CL]Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks
Winston Wu, Dustin Arendt, Svitlana Volkova
http://arxiv.org/abs/2005.00190v1
• [cs.CL]Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas
http://arxiv.org/abs/2005.00283v1
• [cs.CL]Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov
http://arxiv.org/abs/2005.00033v1
• [cs.CL]HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
Yue Dong, Andrei Romascanu, Jackie C. K. Cheung
http://arxiv.org/abs/2005.00513v1
• [cs.CL]Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing
Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, Sakata Masayuki
http://arxiv.org/abs/2005.00295v1
• [cs.CL]Identifying Necessary Elements for BERT’s Multilinguality
Philipp Dufter, Hinrich Schütze
http://arxiv.org/abs/2005.00396v1
• [cs.CL]KPQA: A Metric for Generative Question Answering Using Word Weights
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung
http://arxiv.org/abs/2005.00192v1
• [cs.CL]Knowledge Base Inference for Regular Expression Queries
Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam
http://arxiv.org/abs/2005.00480v1
• [cs.CL]Language (Re)modelling: Towards Embodied Language Understanding
Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf
http://arxiv.org/abs/2005.00311v1
• [cs.CL]Learning to Faithfully Rationalize by Construction
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace
http://arxiv.org/abs/2005.00115v1
• [cs.CL]Low Resource Multi-Task Sequence Tagging — Revisiting Dynamic Conditional Random Fields
Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych
http://arxiv.org/abs/2005.00250v1
• [cs.CL]MedType: Improving Medical Entity Linking with Semantic Type Prediction
Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn Rose
http://arxiv.org/abs/2005.00460v1
• [cs.CL]Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych
http://arxiv.org/abs/2005.00315v1
• [cs.CL]Multi-head Monotonic Chunkwise Attention For Online Speech Recognition
Baiji Liu, Songjun Cao, Sining Sun, Weibin Zhang, Long Ma
http://arxiv.org/abs/2005.00205v1
• [cs.CL]Multilingual Unsupervised Sentence Simplification
Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, Benoît Sagot
http://arxiv.org/abs/2005.00352v1
• [cs.CL]Neural Entity Summarization with Joint Encoding and Weak Supervision
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen
http://arxiv.org/abs/2005.00152v1
• [cs.CL]On the Spontaneous Emergence of Discrete and Compositional Signals
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
http://arxiv.org/abs/2005.00110v1
• [cs.CL]SciREX: A Challenge Dataset for Document-Level Information Extraction
Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy
http://arxiv.org/abs/2005.00512v1
• [cs.CL]Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Xabier Soto, Dimitar Shterionov, Alberto Poncelas, Andy Way
http://arxiv.org/abs/2005.00308v1
• [cs.CL]Selecting Informative Contexts Improves Language Model Finetuning
Richard Antonello, Javier Turek, Alexander Huth
http://arxiv.org/abs/2005.00175v1
• [cs.CL]Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering
Pratyay Banerjee, Chitta Baral
http://arxiv.org/abs/2005.00316v1
• [cs.CL]Sparse, Dense, and Attentional Representations for Text Retrieval
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins
http://arxiv.org/abs/2005.00181v1
• [cs.CL]Structured Tuning for Semantic Role Labeling
Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar
http://arxiv.org/abs/2005.00496v1
• [cs.CL]Style Variation as a Vantage Point for Code-Switching
Khyathi Raghavi Chandu, Alan W Black
http://arxiv.org/abs/2005.00458v1
• [cs.CL]TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth
http://arxiv.org/abs/2005.00242v1
• [cs.CL]Topological Sort for Sentence Ordering
Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W Black
http://arxiv.org/abs/2005.00432v1
• [cs.CL]Towards Controllable Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
http://arxiv.org/abs/2005.00268v1
• [cs.CL]USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
Shikib Mehri, Maxine Eskenazi
http://arxiv.org/abs/2005.00456v1
• [cs.CL]Universal Adversarial Attacks with Natural Triggers for Text Classification
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan
http://arxiv.org/abs/2005.00174v1
• [cs.CL]Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain
Yanpeng Zhao, Ivan Titov
http://arxiv.org/abs/2005.00278v1
• [cs.CL]Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan Boyd-Graber
http://arxiv.org/abs/2005.00524v1
• [cs.CL]Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
http://arxiv.org/abs/2005.00388v1
• [cs.CL]XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić, Anna Korhonen
http://arxiv.org/abs/2005.00333v1
• [cs.CR]Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao
http://arxiv.org/abs/2005.00517v1
• [cs.CV]A Comprehensive Study on Visual Explanations for Spatio-temporal Networks
Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato
http://arxiv.org/abs/2005.00375v1
• [cs.CV]ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li
http://arxiv.org/abs/2005.00328v1
• [cs.CV]Adversarial Synthesis of Human Pose from Text
Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall
http://arxiv.org/abs/2005.00340v1
• [cs.CV]Aggregation and Finetuning for Clothes Landmark Detection
Tzu-Heng Lin
http://arxiv.org/abs/2005.00419v1
• [cs.CV]An Efficient Integration of Disentangled Attended Expression and Identity FeaturesFor Facial Expression Transfer andSynthesis
Kamran Ali, Charles E. Hughes
http://arxiv.org/abs/2005.00499v1
• [cs.CV]CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
Li’an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
http://arxiv.org/abs/2005.00057v1
• [cs.CV]Computing the Testing Error without a Testing Set
Ciprian Corneanu, Meysam Madadi, Sergio Escalera, Aleix Martinez
http://arxiv.org/abs/2005.00450v1
• [cs.CV]Deepfake Forensics Using Recurrent Neural Networks
Rahul U, Ragul M, Raja Vignesh K, Tejeswinee K
http://arxiv.org/abs/2005.00229v1
• [cs.CV]Deeply Cascaded U-Net for Multi-Task Image Processing
Ilja Gubins, Remco C. Veltkamp
http://arxiv.org/abs/2005.00225v1
• [cs.CV]Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge
Shailaja Sampat, Yezhou Yang, Chitta Baral
http://arxiv.org/abs/2005.00330v1
• [cs.CV]Domain Siamese CNNs for Sparse Multispectral Disparity Estimation
David-Alexandre Beaupre, Guillaume-Alexandre Bilodeau
http://arxiv.org/abs/2005.00088v1
• [cs.CV]HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
http://arxiv.org/abs/2005.00200v1
• [cs.CV]Importance Driven Continual Learning for Segmentation Across Domains
Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
http://arxiv.org/abs/2005.00079v1
• [cs.CV]Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra
http://arxiv.org/abs/2004.14973v2
• [cs.CV]Investigating Class-level Difficulty Factors in Multi-label Classification Problems
Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan Redzic, Jian Tang, Zhilan Hu, Alan Smeaton, Noel E O’Connor
http://arxiv.org/abs/2005.00430v1
• [cs.CV]MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
Yue Qian, Junhui Hou, Yiming Zeng, Qijian Zhang, Sam Kwong, Ying He
http://arxiv.org/abs/2005.00383v1
• [cs.CV]Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras
Olly Styles, Tanaya Guha, Victor Sanchez, Alex Kot
http://arxiv.org/abs/2005.00282v1
• [cs.CV]Occlusion resistant learning of intuitive physics from videos
Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux
http://arxiv.org/abs/2005.00069v1
• [cs.CV]PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution
Hao Dou, Chen Chen, Xiyuan Hu, Zhisen Hu, Silong Peng
http://arxiv.org/abs/2005.00306v1
• [cs.CV]Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos
Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth
http://arxiv.org/abs/2005.00253v1
• [cs.CV]Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
http://arxiv.org/abs/2005.00116v1
• [cs.CV]The AVA-Kinetics Localized Human Actions Video Dataset
Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman
http://arxiv.org/abs/2005.00214v1
• [cs.DC]Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging
Shigang Li, Tal Ben-Nun, Dan Alistarh, Salvatore Di Girolamo, Nikoli Dryden, Torsten Hoefler
http://arxiv.org/abs/2005.00124v1
• [cs.DC]Decentralized Edge-to-Cloud Load-balancing:Service Placement for the Internet of Things
Zeinab Nezami, Kamran Zamanifar, Karim Djemame, Evangelos Pournaras
http://arxiv.org/abs/2005.00270v1
• [cs.DC]How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI
Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
http://arxiv.org/abs/2005.00263v1
• [cs.DC]Performance of Generalized Hypercubes in Dynamic Peer-to-Peer Networks
Reem Abdel-Rahman Osman, Omar H. Karam
http://arxiv.org/abs/2005.00338v1
• [cs.DC]Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang
http://arxiv.org/abs/2005.00081v1
• [cs.DL]Getting Insights from a Large Corpus of Scientific Papers on Specialisted Comprehensive Topics — the Case of COVID-19
Bernard Dousset, Josiane Mothe
http://arxiv.org/abs/2005.00485v1
• [cs.HC]CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
http://arxiv.org/abs/2004.15004v2
• [cs.HC]Conceptual Design of Human-Drone Communication in Collaborative Environments
Hans Dermot Doran, Monika Reif, Marco Oehler, Curdin Stoehr, Pierluigi Capone
http://arxiv.org/abs/2005.00127v1
• [cs.HC]Review of Consumer Wearables in Emotion, Stress, Meditation, Sleep, and Activity Detection and Analysis
Stanisław Saganowski, Przemysław Kazienko, Maciej Dzieżyc, Patrycja Jakimów, Joanna Komoszyńska, Weronika Michalska, Anna Dutkowiak, Adam Polak, Adam Dziadek, Michał Ujma
http://arxiv.org/abs/2005.00093v1
• [cs.HC]Workgroup Mapping: Visual Analysis of Collaboration Culture
Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Christopher M. White
http://arxiv.org/abs/2005.00402v1
• [cs.IR]Automatic Discourse Segmentation: Review and Perspectives
Iria da Cunha, Juan-Manuel Torres-Moreno
http://arxiv.org/abs/2005.00468v1
• [cs.IR]Bipartite Flat-Graph Network for Nested Named Entity Recognition
Ying Luo, Hai Zhao
http://arxiv.org/abs/2005.00436v1
• [cs.IR]Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz, Markus Schedl
http://arxiv.org/abs/2005.00372v1
• [cs.IR]Method for Customizable Automated Tagging: Addressing the Problem of Over-tagging and Under-tagging Text Documents
Maharshi R. Pandya, Jessica Reyes, Bob Vanderheyden
http://arxiv.org/abs/2005.00042v1
• [cs.IT]A Holistic Investigation on Terahertz Propagation and Channel Modeling toward Vertical HetNets
Kürşat Tekbıyık, Ali Rıza Ekti, Güneş Karabulut Kurt, Ali Görçin, Halim Yanıkömeroğlu
http://arxiv.org/abs/2005.00509v1
• [cs.IT]Achievable Rates of Concatenated Codes in DNA Storage under Substitution Errors
Andreas Lenz, Lorenz Welter, Sven Puchinger
http://arxiv.org/abs/2005.00051v1
• [cs.IT]Generating Randomness from a Computable, Non-random Sequence of Qubits
Tejas Bhojraj
http://arxiv.org/abs/2005.00207v1
• [cs.IT]Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO
Zheng Cao, Wan-Ting Shih, Jiajia Guo, Chao-Kai Wen, Shi Jin
http://arxiv.org/abs/2005.00438v1
• [cs.IT]Quantum arithmetic operations based on quantum Fourier transform on signed integers
Engin Şahin
http://arxiv.org/abs/2005.00443v1
• [cs.LG]Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
http://arxiv.org/abs/2005.00060v1
• [cs.LG]Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, Giovanni Vigna
http://arxiv.org/abs/2005.00191v1
• [cs.LG]Can a powerful neural network be a teacher for a weaker neural network?
Nicola Landro, Ignazio Gallo, Riccardo La Grassa
http://arxiv.org/abs/2005.00393v1
• [cs.LG]DriveML: An R Package for Driverless Machine Learning
Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Kondapalli
http://arxiv.org/abs/2005.00478v1
• [cs.LG]Exploring Private Federated Learning with Laplacian Smoothing
Zhicong Liang, Bao Wang, Quanquan Gu, Stanley Osher, Yuan Yao
http://arxiv.org/abs/2005.00218v1
• [cs.LG]Generalization Error of Generalized Linear Models in High Dimensions
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
http://arxiv.org/abs/2005.00180v1
• [cs.LG]Hide-and-Seek: A Template for Explainable AI
Thanos Tagaris, Andreas Stafylopatis
http://arxiv.org/abs/2005.00130v1
• [cs.LG]Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?
Ruosong Wang, Simon S. Du, Lin F. Yang, Sham M. Kakade
http://arxiv.org/abs/2005.00527v1
• [cs.LG]Learning to Rank Intents in Voice Assistants
Raviteja Anantha, Srinivas Chappidi, William Dawoodi
http://arxiv.org/abs/2005.00119v1
• [cs.LG]Multi-View Self-Attention for Interpretable Drug-Target Interaction Prediction
Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen
http://arxiv.org/abs/2005.00397v1
• [cs.LG]On the Benefits of Invariance in Neural Networks
Clare Lyle, Mark van der Wilk, Marta Kwiatkowska, Yarin Gal, Benjamin Bloem-Reddy
http://arxiv.org/abs/2005.00178v1
• [cs.LG]Partially-Typed NER Datasets Integration: Connecting Practice to Theory
Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han
http://arxiv.org/abs/2005.00502v1
• [cs.LG]Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction
Shuchu Han, Alexandru Niculescu-Mizil
http://arxiv.org/abs/2005.00259v1
• [cs.LG]The Grammar of Interactive Explanatory Model Analysis
Hubert Baniecki, Przemyslaw Biecek
http://arxiv.org/abs/2005.00497v1
• [cs.NE]Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun
http://arxiv.org/abs/2004.13431v2
• [cs.NE]Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan
http://arxiv.org/abs/2005.00288v1
• [cs.RO]Fast Recovery of Robot Behaviors
George Council, Shai Revzen
http://arxiv.org/abs/2005.00506v1
• [cs.RO]Information-Collection in Robotic Process Monitoring: An Active Perception Approach
Martin A. Sehr, Wei Xi Xia, Prithvi Akella, Juan Aparicio Ojea, Eugen Solowjow
http://arxiv.org/abs/2005.00167v1
• [cs.RO]Learning Compliance Adaptation in Contact-Rich Manipulation
Jianfeng Gao, You Zhou, Tamim Asfour
http://arxiv.org/abs/2005.00227v1
• [cs.RO]Lie Algebraic Unscented Kalman Filter for Pose Estimation
Alexander Meyer Sjøberg, Olav Egeland
http://arxiv.org/abs/2005.00385v1
• [cs.RO]Towards thruster-assisted bipedal locomotion for enhanced efficiency and robustness
Pravin Dangol, Alireza Ramezani
http://arxiv.org/abs/2005.00347v1
• [cs.SI]Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US
Erfaneh Gharavi, Neda Nazemi, Faraz Dadgostari
http://arxiv.org/abs/2005.00475v1
• [cs.SI]Secure Network Release with Link Privacy
Carl Yang, Haonan Wang, Lichao Sun, Bo Li
http://arxiv.org/abs/2005.00455v1
• [econ.EM]Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?
Anish Agarwal, Abdullah Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang
http://arxiv.org/abs/2005.00072v1
• [econ.GN]How average is average? Temporal patterns in human behaviour as measured by mobile phone data — or why chose Thursdays
Marina Toger, Ian Shuttleworth, John Östh
http://arxiv.org/abs/2005.00137v1
• [eess.IV]A Naturalness Evaluation Database for Video Prediction Models
Nagabhushan Somraj, Manoj Surya Kashi, S. P. Arun, Rajiv Soundararajan
http://arxiv.org/abs/2005.00356v1
• [eess.IV]Defocus Deblurring Using Dual-Pixel Data
Abdullah Abuolaim, Michael S. Brown
http://arxiv.org/abs/2005.00305v1
• [eess.IV]Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu
http://arxiv.org/abs/2005.00031v1
• [eess.SP]Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces
Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
http://arxiv.org/abs/2005.00269v1
• [math.OC]Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
http://arxiv.org/abs/2005.00224v1
• [math.PR]Reduction principle for functionals of strong-weak dependent vector random fields
Andriy Olenko, Dareen Omari
http://arxiv.org/abs/2005.00188v1
• [math.ST]Bayesian Characterizations of Properties of Stochastic Processes with Applications
Sucharita Roy, Sourabh Bhattacharya
http://arxiv.org/abs/2005.00035v1
• [math.ST]High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
Noirrit Kiran Chandra, Sourabh Bhattacharya
http://arxiv.org/abs/2005.00066v1
• [math.ST]How to reduce dimension with PCA and random projections?
Fan Yang, Sifan Liu, Edgar Dobriban, David P. Woodruff
http://arxiv.org/abs/2005.00511v1
• [math.ST]Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions
Debashis Chatterjee, Sourabh Bhattacharya
http://arxiv.org/abs/2005.00236v1
• [math.ST]Posterior Convergence of Nonparametric Binary and Poisson Regression Under Possible Misspecifications
Debashis Chatterjee, Sourabh Bhattacharya
http://arxiv.org/abs/2005.00234v1
• [math.ST]Wavelet-based estimation in a semiparametric regression model
Emmanuel de Dieu Nkou, Guy Martial Nkiet
http://arxiv.org/abs/2004.14502v2
• [physics.soc-ph]Finding the Resistance Distance and Eigenvector Centrality from the Network’s Eigenvalues
Caracé Gutiérrez, Juan Gancio, Cecilia Cabeza, Nicolás Rubido
http://arxiv.org/abs/2005.00452v1
• [physics.soc-ph]Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US
Chaoqi Yang, Ruijie Wang, Fangwei Gao, Dachun Sun, Jiawei Tang, Tarek Abdelzaher
http://arxiv.org/abs/2005.00112v1
• [q-bio.NC]Manifold learning for brain connectivity
Félix Renard, Christian Heinrich, Marine Bouthillon, Maleka Schenck, Francis Schneider, Stéphane Kremer, Sophie Achard
http://arxiv.org/abs/2005.00469v1
• [q-bio.QM]A continuous-time state-space model for rapid quality-control of Argos locations from animal-borne tags
Ian D. Jonsen, Toby A. Patterson, Daniel P. Costa, Philip D. Doherty, Brendan J. Godley, W. James Grecian, Christophe Guinet, Xavier Hoenner, Sarah S. Kienle, Patrick W. Robison, Stephen C. Votier, Matthew J. Witt, Mark A. Hindell, Robert G. Harcourt, Clive R. McMahon
http://arxiv.org/abs/2005.00401v1
• [stat.AP]Group Decisions based on Confidence Weighted Majority Voting
Sascha Meyen, Dorothee M. B. Sigg, Ulrike von Luxburg, Volker H. Franz
http://arxiv.org/abs/2005.00039v1
• [stat.ME]A Formal Causal Interpretation of the Case-Crossover Design
Zach Shahn, Miguel A. Hernan, James M. Robins
http://arxiv.org/abs/2005.00221v1
• [stat.ME]Multivariate Log-Skewed Distributions with normal kernel and their Applications
Marina M. de Queiroz, Rosangela H. Loschi, Roger W. C. Silva
http://arxiv.org/abs/2005.00501v1
• [stat.ME]Parallel subgroup analysis of high-dimensional data via M-regression
Chao Cheng, Xingdong Feng
http://arxiv.org/abs/2005.00248v1
• [stat.ME]Scaled Vecchia approximation for fast computer-model emulation
Matthias Katzfuss, Joseph Guinness, Earl Lawrence
http://arxiv.org/abs/2005.00386v1
• [stat.ML]A Primer on Private Statistics
Gautam Kamath, Jonathan Ullman
http://arxiv.org/abs/2005.00010v1
• [stat.ML]Image fusion using symmetric skip autoencodervia an Adversarial Regulariser
Snigdha Bhagat, S. D. Joshi, Brejesh Lall
http://arxiv.org/abs/2005.00447v1
• [stat.ML]Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
Mike Laszkiewicz, Asja Fischer, Johannes Lederer
http://arxiv.org/abs/2005.00466v1