astro-ph.CO - 宇宙学和天体物理学
astro-ph.HE - 高能天体物理现象 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 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.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 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.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.ST - 统计理论 nlin.CD - 混沌动力学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning
• [astro-ph.HE]How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts
• [cond-mat.stat-mech]Data Driven Density Functional Theory: A case for Physics Informed Learning
• [cs.AI]Abductive Knowledge Induction From Raw Data
• [cs.AI]Program Enhanced Fact Verification with Verbalization and Graph Attention Network
• [cs.CE]Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins
• [cs.CL]”I’d rather just go to bed”: Understanding Indirect Answers
• [cs.CL]A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
• [cs.CL]A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
• [cs.CL]A Streaming Approach For Efficient Batched Beam Search
• [cs.CL]A Survey on Recognizing Textual Entailment as an NLP Evaluation
• [cs.CL]Analogies minus analogy test: measuring regularities in word embeddings
• [cs.CL]Anubhuti — An annotated dataset for emotional analysis of Bengali short stories
• [cs.CL]Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces
• [cs.CL]Beyond [CLS] through Ranking by Generation
• [cs.CL]COMETA: A Corpus for Medical Entity Linking in the Social Media
• [cs.CL]Compositional Demographic Word Embeddings
• [cs.CL]Cross-lingual Extended Named Entity Classification of Wikipedia Articles
• [cs.CL]DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
• [cs.CL]Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
• [cs.CL]ELMo and BERT in semantic change detection for Russian
• [cs.CL]Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming
• [cs.CL]Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
• [cs.CL]Exploring the Role of Argument Structure in Online Debate Persuasion
• [cs.CL]Fact Extraction and VERification — The FEVER case: An Overview
• [cs.CL]Fortifying Toxic Speech Detectors Against Veiled Toxicity
• [cs.CL]GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
• [cs.CL]Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification using Pre-trained Language Models
• [cs.CL]Improving Context Modeling in Neural Topic Segmentation
• [cs.CL]Improving QA Generalization by Concurrent Modeling of Multiple Biases
• [cs.CL]Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation
• [cs.CL]Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
• [cs.CL]Inductive Entity Representations from Text via Link Prediction
• [cs.CL]Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
• [cs.CL]Knowledge-aware Method for Confusing Charge Prediction
• [cs.CL]Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
• [cs.CL]Learning a Cost-Effective Annotation Policy for Question Answering
• [cs.CL]Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
• [cs.CL]Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
• [cs.CL]Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
• [cs.CL]Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
• [cs.CL]Narrative Text Generation with a Latent Discrete Plan
• [cs.CL]On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
• [cs.CL]OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
• [cs.CL]Plug and Play Autoencoders for Conditional Text Generation
• [cs.CL]Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
• [cs.CL]Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
• [cs.CL]Rank and run-time aware compression of NLP Applications
• [cs.CL]Resource-Enhanced Neural Model for Event Argument Extraction
• [cs.CL]RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
• [cs.CL]Supervised Seeded Iterated Learning for Interactive Language Learning
• [cs.CL]TeaForN: Teacher-Forcing with N-grams
• [cs.CL]Textual Supervision for Visually Grounded Spoken Language Understanding
• [cs.CL]Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: ASentiment Polarity Classifier for YouTube Commentswith Code-switching between Tamil, Malayalam andEnglish
• [cs.CL]Toward Stance-based Personas for Opinionated Dialogues
• [cs.CL]Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
• [cs.CL]Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
• [cs.CL]Understanding Clinical Trial Reports:Extracting Medical Entities and Their Relations
• [cs.CL]Unsupervised Evaluation for Question Answering with Transformers
• [cs.CL]Unsupervised Parsing via Constituency Tests
• [cs.CL]VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling
• [cs.CL]WER we are and WER we think we are
• [cs.CL]What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
• [cs.CL]Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
• [cs.CL]Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
• [cs.CL]WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
• [cs.CL]ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
• [cs.CR]BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
• [cs.CR]Don’t Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks
• [cs.CV]Adversarial Patch Attacks on Monocular Depth Estimation Networks
• [cs.CV]Attention Model Enhanced Network for Classification of Breast Cancer Image
• [cs.CV]CD-UAP: Class Discriminative Universal Adversarial Perturbation
• [cs.CV]Channel Recurrent Attention Networks for Video Pedestrian Retrieval
• [cs.CV]Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
• [cs.CV]DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
• [cs.CV]Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
• [cs.CV]Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
• [cs.CV]Global Self-Attention Networks for Image Recognition
• [cs.CV]High-Capacity Expert Binary Networks
• [cs.CV]IS-CAM: Integrated Score-CAM for axiomatic-based explanations
• [cs.CV]Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
• [cs.CV]Learning Clusterable Visual Features for Zero-Shot Recognition
• [cs.CV]Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
• [cs.CV]Learning to Represent Image and Text with Denotation Graph
• [cs.CV]Motion Prediction Using Temporal Inception Module
• [cs.CV]Multi-label classification of promotions in digital leaflets using textual and visual information
• [cs.CV]On the Evaluation of Generative Adversarial Networks By Discriminative Models
• [cs.CV]Online Action Detection in Streaming Videos with Time Buffers
• [cs.CV]RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition
• [cs.CV]Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning
• [cs.CV]Rotate to Attend: Convolutional Triplet Attention Module
• [cs.CV]Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
• [cs.CV]SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
• [cs.CV]Super-Human Performance in Online Low-latency Recognition of Conversational Speech
• [cs.CV]Universal Weighting Metric Learning for Cross-Modal Matching
• [cs.CV]Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning
• [cs.CV]VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks
• [cs.CV]Variational Transfer Learning for Fine-grained Few-shot Visual Recognition
• [cs.CV]Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features
• [cs.CV]Weakly-Supervised Feature Learning via Text and Image Matching
• [cs.CV]YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
• [cs.CY]’I Updated the ‘: The Evolution of References in the English Wikipedia and the Implications for Altmetrics
• [cs.CY]Decentralize the feedback infrastructure!
• [cs.CY]Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter
• [cs.CY]The Short Anthropological Guide to the Study of Ethical AI
• [cs.DC]Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
• [cs.DC]QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
• [cs.DC]Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
• [cs.DS]On Additive Approximate Submodularity
• [cs.DS]Structured Logconcave Sampling with a Restricted Gaussian Oracle
• [cs.HC]A Novel Face-tracking Mouth Controller and its Application to Interacting with Bioacoustic Models
• [cs.HC]Designing, Playing, and Performing with a Vision-based Mouth Interface
• [cs.HC]Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance
• [cs.HC]Sonification of Facial Actions for Musical Expression
• [cs.IR]A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic
• [cs.IR]Bias and Debias in Recommender System: A Survey and Future Directions
• [cs.IR]Slice-Aware Neural Ranking
• [cs.IR]Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
• [cs.IT]Design of Power-Imbalanced SCMA Codebook
• [cs.IT]Minimization of the $q$-ratio sparsity with $1 < q \leq \infty$ for signal recovery
• [cs.IT]Orthogonal Time-Frequency Space Modulation: A Full-Diversity Next Generation Waveform
• [cs.IT]Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar
• [cs.IT]The construction and weight distributions of all projective binary linear codes
• [cs.LG]A Simple and Efficient Tensor Calculus for Machine Learning
• [cs.LG]A Survey of Deep Meta-Learning
• [cs.LG]Accurate, Efficient and Scalable Training of Graph Neural Networks
• [cs.LG]Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network
• [cs.LG]Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features
• [cs.LG]Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
• [cs.LG]Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
• [cs.LG]Characterising Bias in Compressed Models
• [cs.LG]Conditional Generative Modeling via Learning the Latent Space
• [cs.LG]Correlated Differential Privacy: Feature Selection in Machine Learning
• [cs.LG]Deep Anomaly Detection by Residual Adaptation
• [cs.LG]Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
• [cs.LG]Double Targeted Universal Adversarial Perturbations
• [cs.LG]Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
• [cs.LG]Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
• [cs.LG]Equivariant Normalizing Flows for Point Processes and Sets
• [cs.LG]Exploiting non-i.i.d. data towards more robust machine learning algorithms
• [cs.LG]Flow-based anomaly detection
• [cs.LG]Global Optimization of Objective Functions Represented by ReLU Networks
• [cs.LG]Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
• [cs.LG]Gradient-based Causal Structure Learning with Normalizing Flow
• [cs.LG]Improving Sequential Latent Variable Models with Autoregressive Flows
• [cs.LG]Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
• [cs.LG]Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners
• [cs.LG]Learning Mesh-Based Simulation with Graph Networks
• [cs.LG]Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss
• [cs.LG]Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs
• [cs.LG]Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
• [cs.LG]Online Linear Optimization with Many Hints
• [cs.LG]Optimal Gradient Compression for Distributed and Federated Learning
• [cs.LG]Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows
• [cs.LG]Physical System for Non Time Sequence Data
• [cs.LG]Projection-Based Constrained Policy Optimization
• [cs.LG]Propagation Model Search for Graph Neural Networks
• [cs.LG]Provable Hierarchical Imitation Learning via EM
• [cs.LG]Proximal Policy Optimization with Relative Pearson Divergence
• [cs.LG]PyMT5: multi-mode translation of natural language and Python code with transformers
• [cs.LG]Reinforcement Learning with Random Delays
• [cs.LG]Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
• [cs.LG]Sequential Changepoint Detection in Neural Networks with Checkpoints
• [cs.LG]TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
• [cs.LG]UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
• [cs.LG]Variational Intrinsic Control Revisited
• [cs.LG]Variational Intrinsic Control Revisited
• [cs.NE]Evaluating the impact of different types of crossover and selection methods on the convergence of 0/1 Knapsack using Genetic Algorithm
• [cs.NE]Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning
• [cs.NI]PsPIN: A high-performance low-power architecture for flexible in-network compute
• [cs.PL]Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations
• [cs.RO]”Drunk Man” Saves Our Lives: Route Planning by a Biased Random Walk Mode
• [cs.RO]Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots
• [cs.RO]Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
• [cs.RO]Learning from demonstration using products of experts: applications to manipulation and task prioritization
• [cs.RO]Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning
• [cs.RO]Modeling and Prediction of Rigid Body Motion with Planar Non-Convex Contact
• [cs.RO]Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models
• [cs.SD]Adversarial attacks on audio source separation
• [cs.SD]Improving the efficiency of spectral features extraction by structuring the audio files
• [cs.SD]Less is more: Faster and better music version identification with embedding distillation
• [cs.SD]Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition
• [cs.SE]A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
• [cs.SI]Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
• [cs.SI]Differential Privacy and Its Applications in Social Network Analysis: A Survey
• [cs.SI]Fairness in Influence Maximization through Randomization
• [econ.EM]Further results on the estimation of dynamic panel logit models with fixed effects
• [eess.AS]Digital Voicing of Silent Speech
• [eess.IV]A Fast and Effective Method of Macula Automatic Detection for Retina Images
• [eess.IV]Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images
• [eess.IV]Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
• [eess.IV]M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
• [eess.IV]WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution
• [eess.SP]Cognitive Learning-Aided Multi-Antenna Communications
• [eess.SP]Index-Modulated Circularly-Shifted Chirps for Dual-Function Radar & Communication Systems
• [eess.SP]Interpreting Imagined Speech Waves with Machine Learning techniques
• [eess.SP]Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization
• [math.ST]A note on some extensions of the matrix angular central Gaussian distribution
• [math.ST]Bayesian Shrinkage Approaches to Unbalanced Problems of Estimation and Prediction on the Basis of Negative Multinomial Samples
• [math.ST]Change point detection based on method of moment estimators
• [math.ST]High dimensional asymptotics of likelihood ratio tests in Gaussian sequence model under convex constraint
• [math.ST]On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable
• [math.ST]Posterior contraction in group sparse logit models for categorical responses
• [nlin.CD]Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction
• [stat.AP]Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
• [stat.AP]HIV-prevalence mapping using Small Area Estimation in Kenya, Tanzania, and Mozambique at the first sub-national level
• [stat.AP]Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation
• [stat.CO]Automatic Backward Filtering Forward Guiding for Markov processes and graphical models
• [stat.ME]A consistent second-order discrete kernel smoother
• [stat.ME]Bayesian Distance Weighted Discrimination
• [stat.ME]Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model
• [stat.ME]Statistical monitoring of functional data using the notion of Fréchet mean combined with the framework of the deformation models
• [stat.ME]Stochastic parameterization with VARX processes
• [stat.ME]Testing the Equality of Proportions for Combined Unilateral and Bilateral Data
• [stat.ME]Using Experimental Data to Evaluate Methods for Observational Causal Inference
• [stat.ML]Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation
• [stat.ML]Approximate Message Passing with Spectral Initialization for Generalized Linear Models
• [stat.ML]Computational analysis of pathological image enables interpretable prediction for microsatellite instability
• [stat.ML]FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
• [stat.ML]Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
• [stat.ML]Learning disentangled representations with the Wasserstein Autoencoder
• [stat.ML]Training GANs with predictive projection centripetal acceleration
• [stat.ML]Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
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• [astro-ph.CO]Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning
Biwei Dai, Uros Seljak
http://arxiv.org/abs/2010.02926v1
• [astro-ph.HE]How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts
Christopher Bryant, Joshua Alexander Osborne, Amir Shahmoradi
http://arxiv.org/abs/2010.02935v1
• [cond-mat.stat-mech]Data Driven Density Functional Theory: A case for Physics Informed Learning
Peter Yatsyshin, Serafim Kalliadasis, Andrew B. Duncan
http://arxiv.org/abs/2010.03374v1
• [cs.AI]Abductive Knowledge Induction From Raw Data
Wang-Zhou Dai, Stephen H. Muggleton
http://arxiv.org/abs/2010.03514v1
• [cs.AI]Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu
http://arxiv.org/abs/2010.03084v1
• [cs.CE]Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins
David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo Navarrete, Álvaro Olivera-Nappa
http://arxiv.org/abs/2010.03516v1
• [cs.CL]“I’d rather just go to bed”: Understanding Indirect Answers
Annie Louis, Dan Roth, Filip Radlinski
http://arxiv.org/abs/2010.03450v1
• [cs.CL]A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Takuma Udagawa, Takato Yamazaki, Akiko Aizawa
http://arxiv.org/abs/2010.03127v1
• [cs.CL]A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui
http://arxiv.org/abs/2010.03155v1
• [cs.CL]A Streaming Approach For Efficient Batched Beam Search
Kevin Yang, Violet Yao, John DeNero, Dan Klein
http://arxiv.org/abs/2010.02164v2
• [cs.CL]A Survey on Recognizing Textual Entailment as an NLP Evaluation
Adam Poliak
http://arxiv.org/abs/2010.03061v1
• [cs.CL]Analogies minus analogy test: measuring regularities in word embeddings
Louis Fournier, Emmanuel Dupoux, Ewan Dunbar
http://arxiv.org/abs/2010.03446v1
• [cs.CL]Anubhuti — An annotated dataset for emotional analysis of Bengali short stories
Aditya Pal, Bhaskar Karn
http://arxiv.org/abs/2010.03065v1
• [cs.CL]Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces
Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick
http://arxiv.org/abs/2010.02976v1
• [cs.CL]Beyond [CLS] through Ranking by Generation**
Cicero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang
http://arxiv.org/abs/2010.03073v1
• [cs.CL]COMETA: A Corpus for Medical Entity Linking in the Social Media
Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier
http://arxiv.org/abs/2010.03295v1
• [cs.CL]Compositional Demographic Word Embeddings
Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea
http://arxiv.org/abs/2010.02986v1
• [cs.CL]Cross-lingual Extended Named Entity Classification of Wikipedia Articles
The Viet Bui, Phuong Le-Hong
http://arxiv.org/abs/2010.03424v1
• [cs.CL]DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
http://arxiv.org/abs/2010.03099v1
• [cs.CL]Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
Weijia Xu, Xing Niu, Marine Carpuat
http://arxiv.org/abs/2010.03412v1
• [cs.CL]ELMo and BERT in semantic change detection for Russian
Julia Rodina, Yuliya Trofimova, Andrey Kutuzov, Ekaterina Artemova
http://arxiv.org/abs/2010.03481v1
• [cs.CL]Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming
Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz
http://arxiv.org/abs/2010.03010v1
• [cs.CL]Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua
http://arxiv.org/abs/2010.03249v1
• [cs.CL]Exploring the Role of Argument Structure in Online Debate Persuasion
Jialu Li, Esin Durmus, Claire Cardie
http://arxiv.org/abs/2010.03538v1
• [cs.CL]Fact Extraction and VERification — The FEVER case: An Overview
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
http://arxiv.org/abs/2010.03001v1
• [cs.CL]Fortifying Toxic Speech Detectors Against Veiled Toxicity
Xiaochuang Han, Yulia Tsvetkov
http://arxiv.org/abs/2010.03154v1
• [cs.CL]GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
http://arxiv.org/abs/2010.03009v1
• [cs.CL]Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification using Pre-trained Language Models
Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun
http://arxiv.org/abs/2010.03542v1
• [cs.CL]Improving Context Modeling in Neural Topic Segmentation
Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi
http://arxiv.org/abs/2010.03138v1
• [cs.CL]Improving QA Generalization by Concurrent Modeling of Multiple Biases
Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych
http://arxiv.org/abs/2010.03338v1
• [cs.CL]Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation
Valentin Barriere, Alexandra Balahur
http://arxiv.org/abs/2010.03486v1
• [cs.CL]Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou
http://arxiv.org/abs/2010.03260v1
• [cs.CL]Inductive Entity Representations from Text via Link Prediction
Daniel Daza, Michael Cochez, Paul Groth
http://arxiv.org/abs/2010.03496v1
• [cs.CL]Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
Piotr Szymański, Kyle Gorman
http://arxiv.org/abs/2010.03088v1
• [cs.CL]Knowledge-aware Method for Confusing Charge Prediction
Xiya Cheng, Sheng Bi, Guilin Qi, Yongzhen Wang
http://arxiv.org/abs/2010.03096v1
• [cs.CL]Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
Sheng Bi, Xiya Cheng, Yuan-Fang Li, Yongzhen Wang, Guilin Qi
http://arxiv.org/abs/2010.03157v1
• [cs.CL]Learning a Cost-Effective Annotation Policy for Question Answering
Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun
http://arxiv.org/abs/2010.03476v1
• [cs.CL]Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
Harsh Jhamtani, Peter Clark
http://arxiv.org/abs/2010.03274v1
• [cs.CL]Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley
http://arxiv.org/abs/2010.03205v1
• [cs.CL]Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta
http://arxiv.org/abs/2010.03546v1
• [cs.CL]Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo
http://arxiv.org/abs/2010.03158v1
• [cs.CL]Narrative Text Generation with a Latent Discrete Plan
Harsh Jhamtani, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2010.03272v1
• [cs.CL]On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov
http://arxiv.org/abs/2010.03017v1
• [cs.CL]OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, Soumen Chakrabarti
http://arxiv.org/abs/2010.03147v1
• [cs.CL]Plug and Play Autoencoders for Conditional Text Generation
Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson
http://arxiv.org/abs/2010.02983v1
• [cs.CL]Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li
http://arxiv.org/abs/2010.03142v1
• [cs.CL]Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum
http://arxiv.org/abs/2010.03548v1
• [cs.CL]Rank and run-time aware compression of NLP Applications
Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
http://arxiv.org/abs/2010.03193v1
• [cs.CL]Resource-Enhanced Neural Model for Event Argument Extraction
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan
http://arxiv.org/abs/2010.03022v1
• [cs.CL]RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text
Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Chris Callison-Burch
http://arxiv.org/abs/2010.03070v1
• [cs.CL]Supervised Seeded Iterated Learning for Interactive Language Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville
http://arxiv.org/abs/2010.02975v1
• [cs.CL]TeaForN: Teacher-Forcing with N-grams
Sebastian Goodman, Nan Ding, Radu Soricut
http://arxiv.org/abs/2010.03494v1
• [cs.CL]Textual Supervision for Visually Grounded Spoken Language Understanding
Bertrand Higy, Desmond Elliott, Grzegorz Chrupała
http://arxiv.org/abs/2010.02806v2
• [cs.CL]Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: ASentiment Polarity Classifier for YouTube Commentswith Code-switching between Tamil, Malayalam andEnglish
BalaSundaraRaman Lakshmanan, Sanjeeth Kumar Ravindranath
http://arxiv.org/abs/2010.03189v1
• [cs.CL]Toward Stance-based Personas for Opinionated Dialogues
Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini
http://arxiv.org/abs/2010.03369v1
• [cs.CL]Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages
Michael A. Hedderich, David Adelani, Dawei Zhu, Jesujoba Alabi, Udia Markus, Dietrich Klakow
http://arxiv.org/abs/2010.03179v1
• [cs.CL]Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
http://arxiv.org/abs/2010.03224v1
• [cs.CL]Understanding Clinical Trial Reports:Extracting Medical Entities and Their Relations
Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain J. Marshall, Byron C. Wallace
http://arxiv.org/abs/2010.03550v1
• [cs.CL]Unsupervised Evaluation for Question Answering with Transformers
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
http://arxiv.org/abs/2010.03222v1
• [cs.CL]Unsupervised Parsing via Constituency Tests
Steven Cao, Nikita Kitaev, Dan Klein
http://arxiv.org/abs/2010.03146v1
• [cs.CL]VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
http://arxiv.org/abs/2010.03124v1
• [cs.CL]WER we are and WER we think we are
Piotr Szymański, Piotr Żelasko, Mikolaj Morzy, Adrian Szymczak, Marzena Żyła-Hoppe, Joanna Banaszczak, Lukasz Augustyniak, Jan Mizgajski, Yishay Carmiel
http://arxiv.org/abs/2010.03432v1
• [cs.CL]What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
http://arxiv.org/abs/2010.03532v1
• [cs.CL]Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers
Yimeng Wu, Peyman Passban, Mehdi Rezagholizade, Qun Liu
http://arxiv.org/abs/2010.03034v1
• [cs.CL]Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner, Ivan Habernal, Iryna Gurevych
http://arxiv.org/abs/2010.03384v1
• [cs.CL]WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen McKeown
http://arxiv.org/abs/2010.03093v1
• [cs.CL]ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty
http://arxiv.org/abs/2010.03276v1
• [cs.CR]BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang
http://arxiv.org/abs/2010.03007v1
• [cs.CR]Don’t Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks
Ahmed Salem, Michael Backes, Yang Zhang
http://arxiv.org/abs/2010.03282v1
• [cs.CV]Adversarial Patch Attacks on Monocular Depth Estimation Networks
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii
http://arxiv.org/abs/2010.03072v1
• [cs.CV]Attention Model Enhanced Network for Classification of Breast Cancer Image
Xiao Kang, Xingbo Liu, Xiushan Nie, Xiaoming Xi, Yilong Yin
http://arxiv.org/abs/2010.03271v1
• [cs.CV]CD-UAP: Class Discriminative Universal Adversarial Perturbation
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
http://arxiv.org/abs/2010.03300v1
• [cs.CV]Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi
http://arxiv.org/abs/2010.03108v1
• [cs.CV]Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement
Fangbo Qin, Jie Qin, Siyu Huang, De Xu
http://arxiv.org/abs/2010.03325v1
• [cs.CV]DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao, Yuebin Wang, Junhuan Peng, Liqiang Zhang, Linlin Xu, Kai Yan, Lihua Li
http://arxiv.org/abs/2010.03116v1
• [cs.CV]Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brungel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Ruckert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O’Shea, Eibe Frank
http://arxiv.org/abs/2010.03341v1
• [cs.CV]Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
Ashiq Imran, Vassilis Athitsos
http://arxiv.org/abs/2010.03071v1
• [cs.CV]Global Self-Attention Networks for Image Recognition
Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli, Xuhui Jia, Ching-Hui Chen
http://arxiv.org/abs/2010.03019v1
• [cs.CV]High-Capacity Expert Binary Networks
Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
http://arxiv.org/abs/2010.03558v1
• [cs.CV]IS-CAM: Integrated Score-CAM for axiomatic-based explanations
Rakshit Naidu, Ankita Ghosh, Yash Maurya, Shamanth R Nayak K, Soumya Snigdha Kundu
http://arxiv.org/abs/2010.03023v1
• [cs.CV]Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
Xiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin
http://arxiv.org/abs/2010.03266v1
• [cs.CV]Learning Clusterable Visual Features for Zero-Shot Recognition
Jingyi Xu, Zhixin Shu, Dimitris Samaras
http://arxiv.org/abs/2010.03245v1
• [cs.CV]Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
L. Koestler, N. Yang, R. Wang, D. Cremers
http://arxiv.org/abs/2010.03506v1
• [cs.CV]Learning to Represent Image and Text with Denotation Graph
Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha
http://arxiv.org/abs/2010.02949v1
• [cs.CV]Motion Prediction Using Temporal Inception Module
Tim Lebailly, Sena Kiciroglu, Mathieu Salzmann, Pascal Fua, Wei Wang
http://arxiv.org/abs/2010.03006v1
• [cs.CV]Multi-label classification of promotions in digital leaflets using textual and visual information
Roberto Arroyo, David Jiménez-Cabello, Javier Martínez-Cebrián
http://arxiv.org/abs/2010.03331v1
• [cs.CV]On the Evaluation of Generative Adversarial Networks By Discriminative Models
Amirsina Torfi, Mohammadreza Beyki, Edward A. Fox
http://arxiv.org/abs/2010.03549v1
• [cs.CV]Online Action Detection in Streaming Videos with Time Buffers
Bowen Zhang, Hao Chen, Meng Wang, Yuanjun Xiong
http://arxiv.org/abs/2010.03016v1
• [cs.CV]RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition
Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman
http://arxiv.org/abs/2010.03203v1
• [cs.CV]Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning
Daniel Deniz, Francisco Barranco, Juan Isern, Eduardo Ros
http://arxiv.org/abs/2010.03497v1
• [cs.CV]Rotate to Attend: Convolutional Triplet Attention Module
Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai, Qibin Hou
http://arxiv.org/abs/2010.03045v1
• [cs.CV]Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
Seohyun Kim, Jaeyoo Park, Bohyung Han
http://arxiv.org/abs/2010.03318v1
• [cs.CV]SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng
http://arxiv.org/abs/2010.03115v1
• [cs.CV]Super-Human Performance in Online Low-latency Recognition of Conversational Speech
Thai-Son Nguyen, Sebastian Stueker, Alex Waibel
http://arxiv.org/abs/2010.03449v1
• [cs.CV]Universal Weighting Metric Learning for Cross-Modal Matching
Jiwei Wei, Xing Xu, Yang Yang, Yanli Ji, Zheng Wang, Heng Tao Shen
http://arxiv.org/abs/2010.03403v1
• [cs.CV]Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
http://arxiv.org/abs/2010.02959v1
• [cs.CV]VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks
Caren Han, Siqu Long, Siwen Luo, Kunze Wang, Josiah Poon
http://arxiv.org/abs/2010.03182v1
• [cs.CV]Variational Transfer Learning for Fine-grained Few-shot Visual Recognition
Jingyi Xu, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras
http://arxiv.org/abs/2010.03255v1
• [cs.CV]Vision-Based Object Recognition in Indoor Environments Using Topologically Persistent Features
Ekta U. Samani, Xingjian Yang, Ashis G. Banerjee
http://arxiv.org/abs/2010.03196v1
• [cs.CV]Weakly-Supervised Feature Learning via Text and Image Matching
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
http://arxiv.org/abs/2010.03060v1
• [cs.CV]YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
http://arxiv.org/abs/2010.03320v1
• [cs.CY]‘I Updated the ‘: The Evolution of References in the English Wikipedia and the Implications for Altmetrics
Olga Zagovora, Roberto Ulloa, Katrin Weller, Fabian Flöck
http://arxiv.org/abs/2010.03083v1
• [cs.CY]Decentralize the feedback infrastructure!
Pedro Garcia Lopez
http://arxiv.org/abs/2010.03356v1
• [cs.CY]Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter
Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Amudha Ravi Shankar, Jose Luis Fernandez Marquez, Mark James Carman, Barbara Pernici
http://arxiv.org/abs/2010.03021v1
• [cs.CY]The Short Anthropological Guide to the Study of Ethical AI
Alexandrine Royer
http://arxiv.org/abs/2010.03362v1
• [cs.DC]Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
Le Xu, Shivaram Venkataraman, Indranil Gupta, Luo Mai, Rahul Potharaju
http://arxiv.org/abs/2010.03035v1
• [cs.DC]QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
Hao Chen, Ke Yang, Stefano Giovanni Rizzo, Giovanna Vantini, Phillip Taylor, Xiaosong Ma, Sanjay Chawla
http://arxiv.org/abs/2010.03289v1
• [cs.DC]Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser
http://arxiv.org/abs/2010.03012v1
• [cs.DS]On Additive Approximate Submodularity
Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar
http://arxiv.org/abs/2010.02912v2
• [cs.DS]Structured Logconcave Sampling with a Restricted Gaussian Oracle
Yin Tat Lee, Ruoqi Shen, Kevin Tian
http://arxiv.org/abs/2010.03106v1
• [cs.HC]A Novel Face-tracking Mouth Controller and its Application to Interacting with Bioacoustic Models
Gamhewage C. de Silva, Tamara Smyth, Michael J. Lyons
http://arxiv.org/abs/2010.03265v1
• [cs.HC]Designing, Playing, and Performing with a Vision-based Mouth Interface
Michael J. Lyons, Michael Haehnel, Nobuji Tetsutani
http://arxiv.org/abs/2010.03213v1
• [cs.HC]Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance
Zheng Wang, Rencheng Zheng, Edric John Cruz Nacpil, Kimihiko Nakano
http://arxiv.org/abs/2010.03216v1
• [cs.HC]Sonification of Facial Actions for Musical Expression
Mathias Funk, Kazuhiro Kuwabara, Michael J. Lyons
http://arxiv.org/abs/2010.03223v1
• [cs.IR]A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic
Nima Ebadi, Peyman Najafirad
http://arxiv.org/abs/2010.03544v1
• [cs.IR]Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
http://arxiv.org/abs/2010.03240v1
• [cs.IR]Slice-Aware Neural Ranking
Gustavo Penha, Claudia Hauff
http://arxiv.org/abs/2010.03343v1
• [cs.IR]Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Nguyen Vo, Kyumin Lee
http://arxiv.org/abs/2010.03159v1
• [cs.IT]Design of Power-Imbalanced SCMA Codebook
Xudong Li, Zhicheng Gao, Zilong Liu, Pei Xiao, Yiming Gui
http://arxiv.org/abs/2010.03329v1
• [cs.IT]Minimization of the $q$-ratio sparsity with $1 < q \leq \infty$ for signal recovery
Zhiyong Zhou, Jun Yu
http://arxiv.org/abs/2010.03402v1
• [cs.IT]Orthogonal Time-Frequency Space Modulation: A Full-Diversity Next Generation Waveform
Zhiqiang Wei, Weijie Yuan, Shuangyang Li, Jinhong Yuan, Ganesh Bharatula, Ronny Hadani, Lajos Hanzo
http://arxiv.org/abs/2010.03344v1
• [cs.IT]Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar
Feng Xu, Xiaopeng Yang, Tian Lan, Tapan K. Sarkar
http://arxiv.org/abs/2010.03296v1
• [cs.IT]The construction and weight distributions of all projective binary linear codes
Cunsheng Ding
http://arxiv.org/abs/2010.03184v1
• [cs.LG]A Simple and Efficient Tensor Calculus for Machine Learning
Sören Laue, Matthias Mitterreiter, Joachim Giesen
http://arxiv.org/abs/2010.03313v1
• [cs.LG]A Survey of Deep Meta-Learning
Mike Huisman, Jan N. van Rijn, Aske Plaat
http://arxiv.org/abs/2010.03522v1
• [cs.LG]Accurate, Efficient and Scalable Training of Graph Neural Networks
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna
http://arxiv.org/abs/2010.03166v1
• [cs.LG]Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network
Pankaj Khatiwada, Matrika Subedi, Ayan Chatterjee, Martin Wulf Gerdes
http://arxiv.org/abs/2010.03324v1
• [cs.LG]Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features
Philipp Benz, Chaoning Zhang, In So Kweon
http://arxiv.org/abs/2010.03316v1
• [cs.LG]Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario Mathieu Lemay
http://arxiv.org/abs/2010.03204v1
• [cs.LG]Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
http://arxiv.org/abs/2010.03110v1
• [cs.LG]Characterising Bias in Compressed Models
Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton
http://arxiv.org/abs/2010.03058v1
• [cs.LG]Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould
http://arxiv.org/abs/2010.03132v1
• [cs.LG]Correlated Differential Privacy: Feature Selection in Machine Learning
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
http://arxiv.org/abs/2010.03094v1
• [cs.LG]Deep Anomaly Detection by Residual Adaptation
Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen
http://arxiv.org/abs/rg/abs/2010.02310v1
• [cs.LG]Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
Oscar Serradilla, Ekhi Zugasti, Urko Zurutuza
http://arxiv.org/abs/2010.03207v1
• [cs.LG]Double Targeted Universal Adversarial Perturbations
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon
http://arxiv.org/abs/2010.03288v1
• [cs.LG]Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
Benjamin Kompa, Jasper Snoek, Andrew Beam
http://arxiv.org/abs/2010.03039v1
• [cs.LG]Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko
http://arxiv.org/abs/2010.03531v1
• [cs.LG]Equivariant Normalizing Flows for Point Processes and Sets
Marin Biloš, Stephan Günnemann
http://arxiv.org/abs/2010.03242v1
• [cs.LG]Exploiting non-i.i.d. data towards more robust machine learning algorithms
Wim Casteels, Peter Hellinckx
http://arxiv.org/abs/2010.03429v1
• [cs.LG]Flow-based anomaly detection
Łukasz Maziarka, Marek Śmieja, Marcin Sendera, Łukasz Struski, Jacek Tabor, Przemysław Spurek
http://arxiv.org/abs/2010.03002v1
• [cs.LG]Global Optimization of Objective Functions Represented by ReLU Networks
Christopher A. Strong, Haoze Wu, Aleksandar Zeljić, Kyle D. Julian, Guy Katz, Clark Barrett, Mykel J. Kochenderfer
http://arxiv.org/abs/2010.03258v1
• [cs.LG]Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci, Yani A. Ioannou, Cem Keskin, Yann Dauphin
http://arxiv.org/abs/2010.03533v1
• [cs.LG]Gradient-based Causal Structure Learning with Normalizing Flow
Xiongren Chen
http://arxiv.org/abs/2010.03095v1
• [cs.LG]Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino, Lei Chen, Jiawei He, Stephan Mandt
http://arxiv.org/abs/2010.03172v1
• [cs.LG]Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
Dylan J. Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu
http://arxiv.org/abs/2010.03104v1
• [cs.LG]Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners
Ardalan Khazraei, Timo Kötzing, Karen Seidel
http://arxiv.org/abs/2010.03227v1
• [cs.LG]Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
http://arxiv.org/abs/2010.03409v1
• [cs.LG]Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss
Davood Zabihzadeh, Ali Karami-Mollaee
http://arxiv.org/abs/2010.03268v1
• [cs.LG]Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Başar
http://arxiv.org/abs/2010.03161v1
• [cs.LG]Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Eden Levy, Yael Mathov, Ziv Katzir, Asaf Shabtai, Yuval Elovici
http://arxiv.org/abs/2010.03180v1
• [cs.LG]Online Linear Optimization with Many Hints
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit
http://arxiv.org/abs/2010.03082v1
• [cs.LG]Optimal Gradient Compression for Distributed and Federated Learning
Alyazeed Albasyoni, Mher Safaryan, Laurent Condat, Peter Richtárik
http://arxiv.org/abs/2010.03246v1
• [cs.LG]Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows
Mouhacine Benosman, Orlando Romero, Anoop Cherian
http://arxiv.org/abs/2010.02990v1
• [cs.LG]Physical System for Non Time Sequence Data
Xiongren Chen
http://arxiv.org/abs/2010.03206v1
• [cs.LG]Projection-Based Constrained Policy Optimization
Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge
http://arxiv.org/abs/2010.03152v1
• [cs.LG]Propagation Model Search for Graph Neural Networks
Yuhui Ding, Quanming Yao, Tong Zhang
http://arxiv.org/abs/2010.03250v1
• [cs.LG]Provable Hierarchical Imitation Learning via EM
Zhiyu Zhang, Ioannis Paschalidis
http://arxiv.org/abs/2010.03133v1
• [cs.LG]Proximal Policy Optimization with Relative Pearson Divergence
Taisuke Kobayashi
http://arxiv.org/abs/2010.03290v1
• [cs.LG]PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan
http://arxiv.org/abs/2010.03150v1
• [cs.LG]Reinforcement Learning with Random Delays
Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal, Jonathan Binas
http://arxiv.org/abs/2010.02966v1
• [cs.LG]Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
http://arxiv.org/abs/2010.03135v1
• [cs.LG]Sequential Changepoint Detection in Neural Networks with Checkpoints
Michalis K. Titsias, Jakub Sygnowski, Yutian Chen
http://arxiv.org/abs/2010.03053v1
• [cs.LG]TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton
http://arxiv.org/abs/2010.03526v1
• [cs.LG]UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
http://arxiv.org/abs/2010.02974v1
• [cs.LG]Variational Intrinsic Control Revisited
Taehwan Kwon
http://arxiv.org/abs/2010.03281
4000
v1
4000
v1)
• [cs.LG]Variational Intrinsic Control Revisited
Taehwan Kwon
http://arxiv.org/abs/2010.03281v1
• [cs.NE]Evaluating the impact of different types of crossover and selection methods on the convergence of 0/1 Knapsack using Genetic Algorithm
Waleed Bin Owais, Iyad W. J. Alkhazendar, Dr. Mohammad Saleh
http://arxiv.org/abs/2010.03483v1
• [cs.NE]Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning
Xiang Cheng, Tielin Zhang, Shuncheng Jia, Bo Xu
http://arxiv.org/abs/2010.03140v1
• [cs.NI]PsPIN: A high-performance low-power architecture for flexible in-network compute
Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler
http://arxiv.org/abs/2010.03536v1
• [cs.PL]Exact Symbolic Inference in Probabilistic Programs via Sum-Product Representations
Feras A. Saad, Martin C. Rinard, Vikash K. Mansinghka
http://arxiv.org/abs/2010.03485v1
• [cs.RO]“Drunk Man” Saves Our Lives: Route Planning by a Biased Random Walk Mode
Xinyi Hu, Quchen Miao, Zexuan Zhao
http://arxiv.org/abs/2010.03365v1
• [cs.RO]Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots
Jiayin Xie, Chenghao Bi, David J. Cappelleri, Nilanjan Chakraborty
http://arxiv.org/abs/2010.03174v1
• [cs.RO]Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee, Daniel Ward, Akansel Cosgun, Vibhavari Dasagi, Peter Corke, Jurgen Leitner
http://arxiv.org/abs/2010.03209v1
• [cs.RO]Learning from demonstration using products of experts: applications to manipulation and task prioritization
Emmanuel Pignat, João Silvério, Sylvain Calinon
http://arxiv.org/abs/2010.03505v1
• [cs.RO]Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning
Zhiyu Huang, Chen Lv, Jingda Wu
http://arxiv.org/abs/2010.03118v1
• [cs.RO]Modeling and Prediction of Rigid Body Motion with Planar Non-Convex Contact
Jiayin Xie, Nilanjan Chakraborty
http://arxiv.org/abs/2010.03170v1
• [cs.RO]Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models
Oliver Speidel, Maximilian Graf, Ankit Kaushik, Thanh Phan-Huu, Andreas Wedel, Klaus Dietmayer
http://arxiv.org/abs/2010.03345v1
• [cs.SD]Adversarial attacks on audio source separation
Naoya Takahashi, Shota Inoue, Yuki Mitsufuji
http://arxiv.org/abs/2010.03164v1
• [cs.SD]Improving the efficiency of spectral features extraction by structuring the audio files
Dishant Parikh, Saurabh Sachdev
http://arxiv.org/abs/2010.03136v1
• [cs.SD]Less is more: Faster and better music version identification with embedding distillation
Furkan Yesiler, Joan Serrà, Emilia Gómez
http://arxiv.org/abs/2010.03284v1
• [cs.SD]Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition
Anshuman Tripathi, Jaeyoung Kim, Qian Zhang, Han Lu, Hasim Sak
http://arxiv.org/abs/2010.03192v1
• [cs.SE]A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
Mehdi Golzadeh, Alexandre Decan, Damien Legay, Tom Mens
http://arxiv.org/abs/2010.03303v1
• [cs.SI]Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Abby Leung, Xiaoye Ding, Shenyang Huang, Reihaneh Rabbany
http://arxiv.org/abs/2010.03081v1
• [cs.SI]Differential Privacy and Its Applications in Social Network Analysis: A Survey
Honglu Jiang, Jian Pei, Dongxiao Yu, Jiguo Yu, Bei Gong, Xiuzhen Cheng
http://arxiv.org/abs/2010.02973v1
• [cs.SI]Fairness in Influence Maximization through Randomization
Ruben Becker, Gianlorenzo D’Angelo, Sajjad Ghobadi, Hugo Gilbert
http://arxiv.org/abs/2010.03438v1
• [econ.EM]Further results on the estimation of dynamic panel logit models with fixed effects
Hugo Kruiniger
http://arxiv.org/abs/2010.03382v1
• [eess.AS]Digital Voicing of Silent Speech
David Gaddy, Dan Klein
http://arxiv.org/abs/2010.02960v1
• [eess.IV]A Fast and Effective Method of Macula Automatic Detection for Retina Images
Yukang Jiang, Jianying Pan, Yanhe Shen, Jin Zhu, Jiamin Huang, Huirui Xie, Xueqin Wang, Yan Luo
http://arxiv.org/abs/2010.03122v1
• [eess.IV]Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images
Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta
http://arxiv.org/abs/2010.03244v1
• [eess.IV]Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
Yue Yang, Pengtao Xie
http://arxiv.org/abs/2010.03468v1
• [eess.IV]M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue
http://arxiv.org/abs/2010.03201v1
• [eess.IV]WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution
Vikram Singh, Anurag Mittal
http://arxiv.org/abs/2010.03199v1
• [eess.SP]Cognitive Learning-Aided Multi-Antenna Communications
Ahmet M. Elbir, Kumar Vijay Mishra
http://arxiv.org/abs/2010.03131v1
• [eess.SP]Index-Modulated Circularly-Shifted Chirps for Dual-Function Radar & Communication Systems
Safi Shams Muhtasimul Hoque, Alphan Sahin
http://arxiv.org/abs/2010.03231v1
• [eess.SP]Interpreting Imagined Speech Waves with Machine Learning techniques
Abhiram Singh, Ashwin Gumaste
http://arxiv.org/abs/2010.03360v1
• [eess.SP]Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization
Cam Ly Nguyen, Orestis Georgiou, Gabriele Gradoni
http://arxiv.org/abs/2010.03251v1
• [math.ST]A note on some extensions of the matrix angular central Gaussian distribution
Justyna Wróblewska
http://arxiv.org/abs/2010.03243v1
• [math.ST]Bayesian Shrinkage Approaches to Unbalanced Problems of Estimation and Prediction on the Basis of Negative Multinomial Samples
Yasuyuki Hamura
http://arxiv.org/abs/2010.03141v1
• [math.ST]Change point detection based on method of moment estimators
Ilia Negri, Yoichi Nishiyama
http://arxiv.org/abs/2010.03334v1
• [math.ST]High dimensional asymptotics of likelihood ratio tests in Gaussian sequence model under convex constraint
Qiyang Han, Bodhisattva Sen, Yandi Shen
http://arxiv.org/abs/2010.03145v1
• [math.ST]On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable
Yifan Cui, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2010.03390v1
• [math.ST]Posterior contraction in group sparse logit models for categorical responses
Seonghyun Jeong
http://arxiv.org/abs/2010.03513v1
• [nlin.CD]Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction
Tom Z. Jiahao, M. Ani Hsieh, Eric Forgoston
http://arxiv.org/abs/2010.03415v1
• [stat.AP]Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
Zhengfan Wang, Miranda J. Fix, Lucia Hug, Anu Mishra, Danzhen You, Hannah Blencowe, Jon Wakefield, Leontine Alkema
http://arxiv.org/abs/2010.03551v1
• [stat.AP]HIV-prevalence mapping using Small Area Estimation in Kenya, Tanzania, and Mozambique at the first sub-national level
Enrique M. Saldarriaga
http://arxiv.org/abs/2010.03114v1
• [stat.AP]Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation
Ivan Makhotin, Denis Orlov, Dmitry Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko
http://arxiv.org/abs/2010.03408v1
• [stat.CO]Automatic Backward Filtering Forward Guiding for Markov processes and graphical models
Frank van der Meulen, Moritz Schauer
http://arxiv.org/abs/2010.03509v1
• [stat.ME]A consistent second-order discrete kernel smoother
Alan Huang, Lucas Sippel, Thomas Fung
http://arxiv.org/abs/2010.03302v1
• [stat.ME]Bayesian Distance Weighted Discrimination
Eric F. Lock
http://arxiv.org/abs/2010.03111v1
• [stat.ME]Bayesian mitigation of spatial coarsening for a fairly flexible spatiotemporal Hawkes model
Andrew J. Holbrook, Xiang Ji, Marc A. Suchard
http://arxiv.org/abs/2010.02994v1
• [stat.ME]Statistical monitoring of functional data using the notion of Fréchet mean combined with the framework of the deformation models
Georgios I. Papayiannis, Stelios Psarakis, Athanasios N. Yannacopoulos
http://arxiv.org/abs/2010.02968v1
• [stat.ME]Stochastic parameterization with VARX processes
Nick Verheul, Daan Crommelin
http://arxiv.org/abs/2010.03293v1
• [stat.ME]Testing the Equality of Proportions for Combined Unilateral and Bilateral Data
Chang-Xing Ma, Kejia Wang
http://arxiv.org/abs/2010.03501v1
• [stat.ME]Using Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel, Justin Clarke, David Jensen
http://arxiv.org/abs/2010.03051v1
• [stat.ML]Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation
Xingchen Ma, Matthew B. Blaschko
http://arxiv.org/abs/2010.03171v1
• [stat.ML]Approximate Message Passing with Spectral Initialization for Generalized Linear Models
Marco Mondelli, Ramji Venkataramanan
http://arxiv.org/abs/2010.03460v1
• [stat.ML]Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Jin Zhu, Wangwei Wu, Yuting Zhang, Shiyun Lin, Yukang Jiang, Ruixian Liu, Xueqin Wang
http://arxiv.org/abs/2010.03130v1
• [stat.ML]FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta
http://arxiv.org/abs/2010.03228v1
• [stat.ML]Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
Benoit Gaujac, Ilya Feige, David Barber
http://arxiv.org/abs/2010.03467v1
• [stat.ML]Learning disentangled representations with the Wasserstein Autoencoder
Benoit Gaujac, Ilya Feige, David Barber
http://arxiv.org/abs/2010.03459v1
• [stat.ML]Training GANs with predictive projection centripetal acceleration
Li Keke, Zhang Ke, Liu Qiang, Yang Xinmin
http://arxiv.org/abs/2010.03322v1
• [stat.ML]Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
Paul Westermann, Ralph Evins
http://arxiv.org/abs/2010.03029v1
• [term]SDC Resilient Error-bounded Lossy Compressor
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
http://arxiv.org/abs/2010.03144v1
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