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

    ·····································

    • [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