astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学 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.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 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.NT - 数论 math.ST - 统计理论 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Automating Inference of Binary Microlensing Events with Neural Density Estimation
• [cond-mat.mtrl-sci]Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks
• [cs.AI]Bayesian Optimized Monte Carlo Planning
• [cs.AI]Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
• [cs.AI]Human-Level Performance in No-Press Diplomacy via Equilibrium Search
• [cs.AI]RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
• [cs.AI]Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
• [cs.CL]A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
• [cs.CL]A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
• [cs.CL]A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
• [cs.CL]ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
• [cs.CL]Adaptive Self-training for Few-shot Neural Sequence Labeling
• [cs.CL]An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
• [cs.CL]Assessing Phrasal Representation and Composition in Transformers
• [cs.CL]BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? — A Study on the RAMS Dataset
• [cs.CL]COMETA: A Corpus for Medical Entity Linking in the Social Media
• [cs.CL]Characterizing the Value of Information in Medical Notes
• [cs.CL]Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
• [cs.CL]Converting the Point of View of Messages Spoken to Virtual Assistants
• [cs.CL]Cross-Thought for Sentence Encoder Pre-training
• [cs.CL]DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
• [cs.CL]Detect All Abuse! Toward Universal Abusive Language Detection Models
• [cs.CL]Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
• [cs.CL]Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
• [cs.CL]Don’t Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding
• [cs.CL]Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
• [cs.CL]Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
• [cs.CL]GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
• [cs.CL]Generalizable and Explainable Dialogue Generation via Explicit Action Learning
• [cs.CL]Generating Instructions at Different Levels of Abstraction
• [cs.CL]Improving Attention Mechanism with Query-Value Interaction
• [cs.CL]Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
• [cs.CL]Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
• [cs.CL]Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
• [cs.CL]Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
• [cs.CL]Large Product Key Memory for Pretrained Language Models
• [cs.CL]Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
• [cs.CL]Learning to Fuse Sentences with Transformers for Summarization
• [cs.CL]Learning to Recombine and Resample Data for Compositional Generalization
• [cs.CL]Leveraging Discourse Rewards for Document-Level Neural Machine Translation
• [cs.CL]MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
• [cs.CL]MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching
• [cs.CL]Multi-hop Inference for Question-driven Summarization
• [cs.CL]Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
• [cs.CL]On the importance of pre-training data volume for compact language models
• [cs.CL]Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models
• [cs.CL]PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
• [cs.CL]Population Based Training for Data Augmentation and Regularization in Speech Recognition
• [cs.CL]Precise Task Formalization Matters in Winograd Schema Evaluations
• [cs.CL]Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task
• [cs.CL]SRLGRN: Semantic Role Labeling Graph Reasoning Network
• [cs.CL]Shallow-to-Deep Training for Neural Machine Translation
• [cs.CL]TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling
• [cs.CL]Towards Topic-Guided Conversational Recommender System
• [cs.CL]Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
• [cs.CL]Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
• [cs.CL]Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations
• [cs.CL]What Can We Do to Improve Peer Review in NLP?
• [cs.CL]Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
• [cs.CR]BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
• [cs.CR]Downscaling Attack and Defense: Turning What You See Back Into What You Get
• [cs.CR]Privacy and Data Balkanization: Circumventing the Barriers
• [cs.CV]3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
• [cs.CV]A Comparative Study on Effects of Original and Pseudo Labels for Weakly Supervised Learning for Car Localization Problem
• [cs.CV]A Human Ear Reconstruction Autoencoder
• [cs.CV]A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
• [cs.CV]Age and Gender Prediction From Face Images Using Attentional Convolutional Network
• [cs.CV]Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset
• [cs.CV]BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
• [cs.CV]Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
• [cs.CV]DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition
• [cs.CV]Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
• [cs.CV]Deep SVBRDF Estimation on Real Materials
• [cs.CV]Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery
• [cs.CV]Deformable DETR: Deformable Transformers for End-to-End Object Detection
• [cs.CV]Dense Relational Image Captioning via Multi-task Triple-Stream Networks
• [cs.CV]Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection
• [cs.CV]IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
• [cs.CV]Infant-ID: Fingerprints for Global Good
• [cs.CV]Revisiting Batch Normalization for Improving Corruption Robustness
• [cs.CV]Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
• [cs.CV]Semi-Supervised Learning of Multi-Object 3D Scene Representations
• [cs.CV]Shape, Illumination, and Reflectance from Shading
• [cs.CV]Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
• [cs.CV]UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric
• [cs.CV]Unconstrained Text Detection in Manga
• [cs.CV]VisualNews : A Large Multi-source News Image Dataset
• [cs.CV]Watch, read and lookup: learning to spot signs from multiple supervisors
• [cs.CY]Agent Based Computational Model Aided Approach to Improvise the Inequality-Adjusted Human Development Index (IHDI) for Greater Parity in Real Scenario Assessments
• [cs.CY]Flipping the Perspective in Contact Tracing
• [cs.CY]From Asking to Answering: Getting More Involved on Stack Overflow
• [cs.CY]Studying the UK Job Market During the COVID-19 Crisis with Online Job Ads
• [cs.DB]Anomaly Detection in Large Labeled Multi-Graph Databases
• [cs.DC]A Combinatorial Characterization of Self-Stabilizing Population Protocols
• [cs.DC]Deploying a Task-based Runtime System on Raspberry Pi Clusters
• [cs.DC]Diagnosing Distributed Systems through Log Data Analysis
• [cs.DC]Fast Stencil-Code Computation on a Wafer-Scale Processor
• [cs.IT]Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels
• [cs.IT]Low-Complexity ZF/MMSE Receivers for MIMO-OTFS Systems With Imperfect CSI
• [cs.IT]On Performance Characterization of Cascaded Multiwire-PLC/MIMO-RF Communication System
• [cs.LG]A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization
• [cs.LG]A Brief Review of Domain Adaptation
• [cs.LG]A Critique of Self-Expressive Deep Subspace Clustering
• [cs.LG]A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
• [cs.LG]A Transformer-based Framework for Multivariate Time Series Representation Learning
• [cs.LG]A Unified Approach to Interpreting and Boosting Adversarial Transferability
• [cs.LG]A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
• [cs.LG]AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
• [cs.LG]Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
• [cs.LG]Actor-Critic Algorithm for High-dimensional Partial Differential Equations
• [cs.LG]Adaptive Doubly Robust Estimator
• [cs.LG]Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
• [cs.LG]Assessing the Fairness of Classifiers with Collider Bias
• [cs.LG]Automatic generation of reviews of scientific papers
• [cs.LG]Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm
• [cs.LG]DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates
• [cs.LG]Differentially Private Deep Learning with Direct Feedback Alignment
• [cs.LG]Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization
• [cs.LG]Energy-based Out-of-distribution Detection
• [cs.LG]Hierarchical Relational Inference
• [cs.LG]Improve Adversarial Robustness via Weight Penalization on Classification Layer
• [cs.LG]Improved POMDP Tree Search Planning with Prioritized Action Branching
• [cs.LG]Improved Techniques for Model Inversion Attack
• [cs.LG]Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning
• [cs.LG]Interlocking Backpropagation: Improving depthwise model-parallelism
• [cs.LG]Invertible Manifold Learning for Dimension Reduction
• [cs.LG]Learning Intrinsic Symbolic Rewards in Reinforcement Learning
• [cs.LG]Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
• [cs.LG]Learning the Linear Quadratic Regulator from Nonlinear Observations
• [cs.LG]Learning the Pareto Front with Hypernetworks
• [cs.LG]MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
• [cs.LG]Maximum Reward Formulation In Reinforcement Learning
• [cs.LG]Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
• [cs.LG]Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences
• [cs.LG]Near-Optimal Comparison Based Clustering
• [cs.LG]Online Safety Assurance for Deep Reinforcement Learning
• [cs.LG]Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination
• [cs.LG]Prioritized Level Replay
• [cs.LG]Regularized Inverse Reinforcement Learning
• [cs.LG]Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
• [cs.LG]Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
• [cs.LG]Robust Multi-class Feature Selection via $l_{2,0}$-Norm Regularization Minimization
• [cs.LG]Robust Semi-Supervised Learning with Out of Distribution Data
• [cs.LG]SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
• [cs.LG]Set Prediction without Imposing Structure as Conditional Density Estimation
• [cs.LG]Simplicial Neural Networks
• [cs.LG]Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification
• [cs.LG]Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
• [cs.LG]Uncertainty in Neural Processes
• [cs.LG]Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
• [cs.MA]Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment
• [cs.NE]AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
• [cs.NE]Association rules over time
• [cs.NE]Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
• [cs.NE]Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ
• [cs.NI]Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare
• [cs.RO]Guided Curriculum Learning for Walking Over Complex Terrain
• [cs.RO]Rigid Body Dynamic Simulation with Line and Surface Contact
• [cs.SD]Domain Adversarial Neural Networks for Dysarthric Speech Recognition
• [cs.SD]Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training
• [cs.SD]Texture-based Presentation Attack Detection for Automatic Speaker Verification
• [cs.SI]EDNA-COVID: A Large-Scale Covid-19 Dataset Collected with the EDNA Streaming Toolkit
• [cs.SI]Spatial-temporal Analysis of COVID-19’s Impact on Human Mobility: the Case of the United States
• [econ.EM]Inference with a single treated cluster
• [eess.AS]Latent linguistic embedding for cross-lingual text-to-speech and voice conversion
• [eess.IV]3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT
• [eess.IV]Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise
• [eess.IV]Free annotated data for deep learning in microscopy? A hitchhiker’s guide
• [eess.IV]Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation
• [eess.IV]Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
• [eess.IV]Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding
• [eess.IV]Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation
• [eess.IV]Synthesising clinically realistic Chest X-rays using Generative Adversarial Networks
• [eess.IV]Tractography filtering using autoencoders
• [eess.IV]pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
• [eess.SP]A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel
• [math.NT]On functions with the maximal number of bent components
• [math.ST]Conditional Goodness-of-Fit Tests for Discrete Distributions
• [math.ST]Estmiation of the Spectral Measure from Convex Combinations of Regularly Varying Random Vectors
• [math.ST]Measuring Association on Topological Spaces Using Kernels and Geometric Graphs
• [physics.flu-dyn]A novel control mode of bionic morphing tail based on deep reinforcement learning
• [physics.flu-dyn]Emulator-based global sensitivity analysis for flow-like landslide run-out models
• [physics.geo-ph]Ensembling geophysical models with Bayesian Neural Networks
• [q-bio.QM]Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients
• [quant-ph]Quantum-enhanced barcode decoding and pattern recognition
• [quant-ph]Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving
• [stat.AP]HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
• [stat.AP]No increase in COVID-19 mortality after the 2020 primary elections in the USA
• [stat.ME]A multi-surrogate higher-order singular value decomposition tensor emulator for spatio-temporal simulators
• [stat.ME]A spatial functional count model for heterogeneity analysis in time
• [stat.ME]Mixture-based estimation of entropy
• [stat.ME]Multidimensional Adaptive Penalised Splines with Application to Neurons’ Activity Studies
• [stat.ME]Multivariate functional responses low rank regression with an application to brain imaging data
• [stat.ME]Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
• [stat.ML]A Neural Network MCMC sampler that maximizes Proposal Entropy
• [stat.ML]Information Theory Measures via Multidimensional Gaussianization
• [stat.ML]Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems
• [stat.ML]Neural Group Actions
• [stat.ML]Olympus: a benchmarking framework for noisy optimization and experiment planning
• [stat.ML]Prediction intervals for Deep Neural Networks
• [stat.ML]Real-time anomaly detection with superexperts
• [stat.ML]Topic Diffusion Discovery Based on Deep Non-negative Autoencoder
• [stat.ML]Training GANs with predictive projection centripetal acceleration
• [stat.ML]Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
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• [astro-ph.IM]Automating Inference of Binary Microlensing Events with Neural Density Estimation
Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, Francois Lanusse, Casey Lam, Jessica Lu
http://arxiv.org/abs/2010.04156v1
• [cond-mat.mtrl-sci]Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks
Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin
http://arxiv.org/abs/2010.03675v1
• [cs.AI]Bayesian Optimized Monte Carlo Planning
John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer
http://arxiv.org/abs/2010.03597v1
• [cs.AI]Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help
Mehak Maniktala, Christa Cody, Amy Isvik, Nicholas Lytle, Min Chi, Tiffany Barnes
http://arxiv.org/abs/2010.04124v1
• [cs.AI]Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
http://arxiv.org/abs/2010.02923v1
• [cs.AI]RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang
http://arxiv.org/abs/2010.04029v1
• [cs.AI]Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
http://arxiv.org/abs/2010.03790v1
• [cs.CL]A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu
http://arxiv.org/abs/2010.03722v1
• [cs.CL]A Co-Interactive Transformer for Joint Slot Filling and Intent Detection
Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu
http://arxiv.org/abs/2010.03880v1
• [cs.CL]A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Saunshi, Sadhika Malladi, Sanjeev Arora
http://arxiv.org/abs/2010.03648v1
• [cs.CL]ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
http://arxiv.org/abs/2010.03768v1
• [cs.CL]Adaptive Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
http://arxiv.org/abs/2010.03680v1
• [cs.CL]An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
http://arxiv.org/abs/2010.03777v1
• [cs.CL]Assessing Phrasal Representation and Composition in Transformers
Lang Yu, Allyson Ettinger
http://arxiv.org/abs/2010.03763v1
• [cs.CL]BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? — A Study on the RAMS Dataset
Varun Gangal, Eduard Hovy
http://arxiv.org/abs/2010.04098v1
• [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/2010.03295v2
• [cs.CL]Characterizing the Value of Information in Medical Notes
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
http://arxiv.org/abs/2010.03574v1
• [cs.CL]Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
Mihaela Gaman, Radu Tudor Ionescu
http://arxiv.org/abs/2010.03614v1
• [cs.CL]Converting the Point of View of Messages Spoken to Virtual Assistants
Isabelle G. Lee, Vera Zu, Sai Srujana Buddi, Dennis Liang, Jack G. M. Fitzgerald
http://arxiv.org/abs/2010.02600v2
• [cs.CL]Cross-Thought for Sentence Encoder Pre-training
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu
http://arxiv.org/abs/2010.03652v1
• [cs.CL]DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
Ernie Chang, Jeriah Caplinger, Alex Marin, Xiaoyu Shen, Vera Demberg
http://arxiv.org/abs/2010.04141v1
• [cs.CL]Detect All Abuse! Toward Universal Abusive Language Detection Models
Kunze Wang, Dong Lu, Soyeon Caren Han, Siqu Long, Josiah Poon
http://arxiv.org/abs/2010.03776v1
• [cs.CL]Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
Eleftheria Briakou, Marine Carpuat
http://arxiv.org/abs/2010.03662v1
• [cs.CL]Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
http://arxiv.org/abs/2010.03760v1
• [cs.CL]Don’t Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding
Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza
http://arxiv.org/abs/2010.03714v1
• [cs.CL]Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
Shachar Rosenman, Alon Jacovi, Yoav Goldberg
http://arxiv.org/abs/2010.03656v1
• [cs.CL]Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi
http://arxiv.org/abs/2010.03824v1
• [cs.CL]GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang
http://arxiv.org/abs/2010.03994v1
• [cs.CL]Generalizable and Explainable Dialogue Generation via Explicit Action Learning
Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
http://arxiv.org/abs/2010.03755v1
• [cs.CL]Generating Instructions at Different Levels of Abstraction
Arne Köhn, Julia Wichlacz, Álvaro Torralba, Daniel Höller, Jörg Hoffmann, Alexander Koller
http://arxiv.org/abs/2010.03982v1
• [cs.CL]Improving Attention Mechanism with Query-Value Interaction
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2010.03766v1
• [cs.CL]Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
http://arxiv.org/abs/2010.03773v1
• [cs.CL]Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
http://arxiv.org/abs/2010.03746v1
• [cs.CL]Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
Dechuang Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu
http://arxiv.org/abs/2010.03903v1
• [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/2010.03157v2
• [cs.CL]Large Product Key Memory for Pretrained Language Models
Gyuwan Kim, Tae-Hwan Jung
http://arxiv.org/abs/2010.03881v1
• [cs.CL]Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal
http://arxiv.org/abs/2010.04119v1
• [cs.CL]Learning to Fuse Sentences with Transformers for Summarization
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu
http://arxiv.org/abs/2010.03726v1
• [cs.CL]Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas
http://arxiv.org/abs/2010.03706v1
• [cs.CL]Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Inigo Jauregi Unanue, Nazanin Esmaili, Gholamreza Haffari, Massimo Piccardi
http://arxiv.org/abs/2010.03732v1
• [cs.CL]MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
http://arxiv.org/abs/2010.03636v1
• [cs.CL]MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching
Rahul Mishra, Piyush Yadav, Remi Calizzano, Markus Leippold
http://arxiv.org/abs/2010.03617v1
• [cs.CL]Multi-hop Inference for Question-driven Summarization
Yang Deng, Wenxuan Zhang, Wai Lam
http://arxiv.org/abs/2010.03738v1
• [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/2010.03158v2
• [cs.CL]On the importance of pre-training data volume for compact language models
Vincent Micheli, Martin D’Hoffschmidt, François Fleuret
http://arxiv.org/abs/2010.03813v1
• [cs.CL]Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
http://arxiv.org/abs/2010.03688v1
• [cs.CL]PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
http://arxiv.org/abs/2010.03725v1
• [cs.CL]Population Based Training for Data Augmentation and Regularization in Speech Recognition
Daniel Haziza, Jérémy Rapin, Gabriel Synnaeve
http://arxiv.org/abs/2010.03899v1
• [cs.CL]Precise Task Formalization Matters in Winograd Schema Evaluations
Haokun Liu, William Huang, Dhara A. Mungra, Samuel R. Bowman
http://arxiv.org/abs/2010.04043v1
• [cs.CL]Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task
Martin Vastl, Daniel Zeman, Rudolf Rosa
http://arxiv.org/abs/2010.03920v1
• [cs.CL]SRLGRN: Semantic Role Labeling Graph Reasoning Network
Chen Zheng, Parisa Kordjamshidi
http://arxiv.org/abs/2010.03604v1
• [cs.CL]Shallow-to-Deep Training for Neural Machine Translation
Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu
http://arxiv.org/abs/2010.03737v1
• [cs.CL]TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling
Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David Uthus, Zarana Parekh
http://arxiv.org/abs/2010.03802v1
• [cs.CL]Towards Topic-Guided Conversational Recommender System
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
http://arxiv.org/abs/2010.04125v1
• [cs.CL]Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
http://arxiv.org/abs/2010.03644v1
• [cs.CL]Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
Jue Wang, Wei Lu
http://arxiv.org/abs/2010.03851v1
• [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/2010.03550v2
• [cs.CL]What Can We Do to Improve Peer Review in NLP?
Anna Rogers, Isabelle Augenstein
http://arxiv.org/abs/2010.03863v1
• [cs.CL]Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Emily Allaway, Kathleen McKeown
http://arxiv.org/abs/2010.03640v1
• [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/2010.03007v2
• [cs.CR]Downscaling Attack and Defense: Turning What You See Back Into What You Get
Andrew J. Lohn
http://arxiv.org/abs/2010.02456v2
• [cs.CR]Privacy and Data Balkanization: Circumventing the Barriers
Bernardo A. Huberman, Tad Hogg
http://arxiv.org/abs/2010.03672v1
• [cs.CV]3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings
Giorgia Pitteri, Aurélie Bugeau, Slobodan Ilic, Vincent Lepetit
http://arxiv.org/abs/2010.04075v1
• [cs.CV]A Comparative Study on Effects of Original and Pseudo Labels for Weakly Supervised Learning for Car Localization Problem
Cenk Bircanoglu
http://arxiv.org/abs/2010.03815v1
• [cs.CV]A Human Ear Reconstruction Autoencoder
Hao Sun, Nick Pears, Hang Dai
http://arxiv.org/abs/2010.03972v1
• [cs.CV]A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
Zuheng Ming, Muriel Visani, Muhammad Muzzamil Luqman, Jean-Christophe Burie
http://arxiv.org/abs/2010.04145v1
• [cs.CV]Age and Gender Prediction From Face Images Using Attentional Convolutional Network
Amirali Abdolrashidi, Mehdi Minaei, Elham Azimi, Shervin Minaee
http://arxiv.org/abs/2010.03791v1
• [cs.CV]Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset
Giulia Orrù, Marco Micheletto, Julian Fierrez, Gian Luca Marcialis
http://arxiv.org/abs/2010.04072v1
• [cs.CV]BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
Beihao xia, Conghao Wong, Heng Li, Shiming Chen, Qinmu Peng, Xinge You
http://arxiv.org/abs/2010.03897v1
• [cs.CV]Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
Hina Raja, Taimur Hassan, Muhammad Usman Akram, Naoufel Werghi
http://arxiv.org/abs/2010.03872v1
• [cs.CV]DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition
Ha Le, Ioannis A. Kakadiaris
http://arxiv.org/abs/2010.03771v1
• [cs.CV]Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
Bedeuro Kim, Alsharif Abuadbba, Yansong Gao, Yifeng Zheng, Muhammad Ejaz Ahmed, Hyoungshick Kim, Surya Nepal
http://arxiv.org/abs/2010.03735v1
• [cs.CV]Deep SVBRDF Estimation on Real Materials
Louis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde
http://arxiv.org/abs/2010.04143v1
• [cs.CV]Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery
Yuchen Wang, Mingze Xu, John Paden, Lora Koenig, Geoffrey Fox, David Crandall
http://arxiv.org/abs/2010.03712v1
• [cs.CV]Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
http://arxiv.org/abs/2010.04159v1
• [cs.CV]Dense Relational Image Captioning via Multi-task Triple-Stream Networks
Dong-Jin Kim, Tae-Hyun oh, Jinsoo Choi, In So Kweon
http://arxiv.org/abs/2010.03855v1
• [cs.CV]Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection
Daniel Mas Montserrat, János Horváth, S. K. Yarlagadda, Fengqing Zhu, Edward J. Delp
http://arxiv.org/abs/2010.03758v1
• [cs.CV]IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
Mahesh Pal, Akshay, B. Charan Teja
http://arxiv.org/abs/2010.03902v1
• [cs.CV]Infant-ID: Fingerprints for Global Good
Joshua J. Engelsma, Debayan Deb, Kai Cao, Anjoo Bhatnagar, Prem S. Sudhish, Anil K. Jain
http://arxiv.org/abs/2010.03624v1
• [cs.CV]Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
http://arxiv.org/abs/2010.03630v1
• [cs.CV]Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
Seohyun Kim, Jaeyoo Park, Bohyung Han
http://arxiv.org/abs/2010.03318v2
• [cs.CV]Semi-Supervised Learning of Multi-Object 3D Scene Representations
Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Jörg Stückler
http://arxiv.org/abs/2010.04030v1
• [cs.CV]Shape, Illumination, and Reflectance from Shading
Jonathan T. Barron, Jitendra Malik
http://arxiv.org/abs/2010.03592v1
• [cs.CV]Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
Aashish Sharma, Robby T. Tan, Loong-Fah Cheong
http://arxiv.org/abs/2010.04009v1
• [cs.CV]UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
http://arxiv.org/abs/2010.03990v1
• [cs.CV]Unconstrained Text Detection in Manga
Julián Del Gobbo, Rosana Matuk Herrera
http://arxiv.org/abs/2010.03997v1
• [cs.CV]VisualNews : A Large Multi-source News Image Dataset
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
http://arxiv.org/abs/2010.03743v1
• [cs.CV]Watch, read and lookup: learning to spot signs from multiple supervisors
Liliane Momeni, Gül Varol, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman
http://arxiv.org/abs/2010.04002v1
• [cs.CY]Agent Based Computational Model Aided Approach to Improvise the Inequality-Adjusted Human Development Index (IHDI) for Greater Parity in Real Scenario Assessments
Pradipta Banerjee, Subhrabrata Choudhury
http://arxiv.org/abs/2010.03677v1
• [cs.CY]Flipping the Perspective in Contact Tracing
Po-Shen Loh
http://arxiv.org/abs/2010.03806v1
• [cs.CY]From Asking to Answering: Getting More Involved on Stack Overflow
Timur Bachschi, Aniko Hannak, Florian Lemmerich, Johannes Wachs
http://arxiv.org/abs/2010.04025v1
• [cs.CY]Studying the UK Job Market During the COVID-19 Crisis with Online Job Ads
Rudy Arthur
http://arxiv.org/abs/2010.03629v1
• [cs.DB]Anomaly Detection in Large Labeled Multi-Graph Databases
Hung T. Nguyen, Pierre J. Liang, Leman Akoglu
http://arxiv.org/abs/2010.03600v1
• [cs.DC]A Combinatorial Characterization of Self-Stabilizing Population Protocols
Shaan Mathur, Rafail Ostrovsky
http://arxiv.org/abs/2010.03869v1
• [cs.DC]Deploying a Task-based Runtime System on Raspberry Pi Clusters
Nikunj Gupta, Steve R. Brandt, Bibek Wagle, Nanmiao, Alireza Kheirkhahan, Patrick Diehl, Hartmut Kaiser, Felix W. Baumann
http://arxiv.org/abs/2010.04106v1
• [cs.DC]Diagnosing Distributed Systems through Log Data Analysis
K. R. Chowdhary, Rajendra Purohit
http://arxiv.org/abs/2010.03960v1
• [cs.DC]Fast Stencil-Code Computation on a Wafer-Scale Processor
Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean Francois Dietiker, Madhava Syamlal, Michael James
http://arxiv.org/abs/2010.03660v1
• [cs.IT]Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels
Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang
http://arxiv.org/abs/2010.04061v1
• [cs.IT]Low-Complexity ZF/MMSE Receivers for MIMO-OTFS Systems With Imperfect CSI
Prem Singh, Abhishek Gupta, Himanshu B. Mishra, Rohit Budhiraja
http://arxiv.org/abs/2010.04057v1
• [cs.IT]On Performance Characterization of Cascaded Multiwire-PLC/MIMO-RF Communication System
Yun Ai, Long Kong, Michael Cheffena, Symeon Chatzinotas, Bjorn Ottersten
http://arxiv.org/abs/2010.04099v1
• [cs.LG]A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization
André F. Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
http://arxiv.org/abs/2010.03665v1
• [cs.LG]A Brief Review of Domain Adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, Hamid R. Arabnia
http://arxiv.org/abs/2010.03978v1
• [cs.LG]A Critique of Self-Expressive Deep Subspace Clustering
Benjamin D. Haeffele, Chong You, René Vidal
http://arxiv.org/abs/2010.03697v1
• [cs.LG]A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
http://arxiv.org/abs/2010.04003v1
• [cs.LG]A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
http://arxiv.org/abs/2010.02803v2
• [cs.LG]A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
http://arxiv.org/abs/2010.04055v1
• [cs.LG]A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
http://arxiv.org/abs/2010.04050v1
• [cs.LG]AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, Saumyadipta Pyne
http://arxiv.org/abs/2010.03757v1
• [cs.LG]Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral Shah, Alan Edelman, Chris Rackauckas
http://arxiv.org/abs/2010.04004v1
• [cs.LG]Actor-Critic Algorithm for High-dimensional Partial Differential Equations
Xiaohan Zhang
http://arxiv.org/abs/2010.03647v1
• [cs.LG]Adaptive Doubly Robust Estimator
Masahiro Kato
http://arxiv.org/abs/2010.03792v1
• [cs.LG]Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
AKM Iqtidar Newaz, Nur Imtiazul Haque, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac
http://arxiv.org/abs/2010.03671v1
• [cs.LG]Assessing the Fairness of Classifiers with Collider Bias
Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang
http://arxiv.org/abs/2010.03933v1
• [cs.LG]Automatic generation of reviews of scientific papers
Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman
http://arxiv.org/abs/2010.04147v1
• [cs.LG]Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm
Xiaona Xia
http://arxiv.org/abs/2010.03821v1
• [cs.LG]DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates
Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin
http://arxiv.org/abs/2010.04017v1
• [cs.LG]Differentially Private Deep Learning with Direct Feedback Alignment
Jaewoo Lee, Daniel Kifer
http://arxiv.org/abs/2010.03701v1
• [cs.LG]Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization
Mack Sweeney, Matthew van Adelsberg, Kathryn Laskey, Carlotta Domeniconi
http://arxiv.org/abs/2010.04010v1
• [cs.LG]Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
http://arxiv.org/abs/2010.03759v1
• [cs.LG]Hierarchical Relational Inference
Aleksandar Stanić, Sjoerd van Steenkiste, Jürgen Schmidhuber
http://arxiv.org/abs/2010.03635v1
• [cs.LG]Improve Adversarial Robustness via Weight Penalization on Classification Layer
Cong Xu, Dan Li, Min Yang
http://arxiv.org/abs/2010.03844v1
• [cs.LG]Improved POMDP Tree Search Planning with Prioritized Action Branching
John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer
http://arxiv.org/abs/2010.03599v1
• [cs.LG]Improved Techniques for Model Inversion Attack
Si Chen, Ruoxi Jia, Guo-Jun Qi
http://arxiv.org/abs/2010.04092v1
• [cs.LG]Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
http://arxiv.org/abs/2010.04112v1
• [cs.LG]Interlocking Backpropagation: Improving depthwise model-parallelism
Aidan N. Gomez, Oscar Key, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal
http://arxiv.org/abs/2010.04116v1
• [cs.LG]Invertible Manifold Learning for Dimension Reduction
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
http://arxiv.org/abs/2010.04012v1
• [cs.LG]Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar
http://arxiv.org/abs/2010.03694v1
• [cs.LG]Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
Salar Fattahi
http://arxiv.org/abs/2010.04015v1
• [cs.LG]Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
http://arxiv.org/abs/2010.03799v1
• [cs.LG]Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya
http://arxiv.org/abs/2010.04104v1
• [cs.LG]MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni
http://arxiv.org/abs/2010.04062v1
• [cs.LG]Maximum Reward Formulation In Reinforcement Learning
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
http://arxiv.org/abs/2010.03744v1
• [cs.LG]Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
Gareth P. Jones, James M. Hickey, Pietro G. Di Stefano, Charanpal Dhanjal, Laura C. Stoddart, Vlasios Vasileiou
http://arxiv.org/abs/2010.03986v1
• [cs.LG]Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences
Jakob Aungiers
http://arxiv.org/abs/2010.03661v1
• [cs.LG]Near-Optimal Comparison Based Clustering
Michaël Perrot, Pascal Mattia Esser, Debarghya Ghoshdastidar
http://arxiv.org/abs/2010.03918v1
• [cs.LG]Online Safety Assurance for Deep Reinforcement Learning
Noga H. Rotman, Michael Schapira, Aviv Tamar
http://arxiv.org/abs/2010.03625v1
• [cs.LG]Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau
http://arxiv.org/abs/2010.04157v1
• [cs.LG]Prioritized Level Replay
Minqi Jiang, Ed Grefenstette, Tim Rocktäschel
http://arxiv.org/abs/2010.03934v1
• [cs.LG]Regularized Inverse Reinforcement Learning
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
http://arxiv.org/abs/2010.03691v1
• [cs.LG]Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Sheila A. McIlraith
http://arxiv.org/abs/2010.03950v1
• [cs.LG]Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
http://arxiv.org/abs/2010.04091v1
• [cs.LG]Robust Multi-class Feature Selection via $l_{2,0}$-Norm Regularization Minimization
Zhenzhen Sun, Yuanlong Yu
http://arxiv.org/abs/2010.03728v1
• [cs.LG]Robust Semi-Supervised Learning with Out of Distribution Data
Xujiang Zhao, Killamsetty Krishnateja, Rishabh Iyer, Feng Chen
http://arxiv.org/abs/2010.03658v1
• [cs.LG]SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
http://arxiv.org/abs/2010.04081v1
• [cs.LG]Set Prediction without Imposing Structure as Conditional Density Estimation
David W. Zhang, Gertjan J. Burghouts, Cees G. M. Snoek
http://arxiv.org/abs/2010.04109v1
• [cs.LG]Simplicial Neural Networks
Stefania Ebli, Michaël Defferrard, Gard Spreemann
http://arxiv.org/abs/2010.03633v1
• [cs.LG]Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification
Jiechieu Kameni Florentin Flambeau, Tsopze Norbert
http://arxiv.org/abs/2010.03724v1
• [cs.LG]Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma
http://arxiv.org/abs/2010.03622v1
• [cs.LG]Uncertainty in Neural Processes
Saeid Naderiparizi, Kenny Chiu, Benjamin Bloem-Reddy, Frank Wood
http://arxiv.org/abs/2010.03753v1
• [cs.LG]Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
Mona Fuhrländer, Sebastian Schöps
http://arxiv.org/abs/2010.04028v1
• [cs.MA]Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment
Ivan Stelmakh, Nihar B. Shah, Aarti Singh
http://arxiv.org/abs/2010.04041v1
• [cs.NE]AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera
http://arxiv.org/abs/2010.03917v1
• [cs.NE]Association rules over time
Iztok Fister Jr., Iztok Fister
http://arxiv.org/abs/2010.03834v1
• [cs.NE]Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer
http://arxiv.org/abs/2010.03585v1
• [cs.NE]Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ
Palak Sukharamwala, Manojkumar Parmar
http://arxiv.org/abs/2010.03795v1
• [cs.NI]Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare
Sergio Martiradonna, Giulia Cisotto, Gennaro Boggia, Giuseppe Piro, Lorenzo Vangelista, Stefano Tomasin
http://arxiv.org/abs/2010.03805v1
• [cs.RO]Guided Curriculum Learning for Walking Over Complex Terrain
Brendan Tidd, Nicolas Hudson, Akansel Cosgun
http://arxiv.org/abs/2010.03848v1
• [cs.RO]Rigid Body Dynamic Simulation with Line and Surface Contact
Jiayin Xie, Nilanjan Chakraborty
http://arxiv.org/abs/2010.02291v2
• [cs.SD]Domain Adversarial Neural Networks for Dysarthric Speech Recognition
Dominika Woszczyk, Stavros Petridis, David Millard
http://arxiv.org/abs/2010.03623v1
• [cs.SD]Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training
Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
http://arxiv.org/abs/2010.03749v1
• [cs.SD]Texture-based Presentation Attack Detection for Automatic Speaker Verification
Lazaro J. Gonzalez-Soler, Jose Patino, Marta Gomez-Barrero, Massimiliano Todisco, Christoph Busch, Nicholas Evans
http://arxiv.org/abs/2010.04038v1
• [cs.SI]EDNA-COVID: A Large-Scale Covid-19 Dataset Collected with the EDNA Streaming Toolkit
Abhijit Suprem, Calton Pu
http://arxiv.org/abs/2010.04084v1
• [cs.SI]Spatial-temporal Analysis of COVID-19’s Impact on Human Mobility: the Case of the United States
Songhe Wang, Kangda Wei, Lei Lin, Weizi Li
http://arxiv.org/abs/2010.03707v1
• [econ.EM]Inference with a single treated cluster
Andreas Hagemann
http://arxiv.org/abs/2010.04076v1
• [eess.AS]Latent linguistic embedding for cross-lingual text-to-speech and voice conversion
Hieu-Thi Luong, Junichi Yamagishi
http://arxiv.org/abs/2010.03717v1
• [eess.IV]3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT
David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar
http://arxiv.org/abs/2010.03739v1
• [eess.IV]Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise
Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Lee, Juan Lyu, Sai Ho Ling, Yong-Ping Zheng
http://arxiv.org/abs/2010.03740v1
• [eess.IV]Free annotated data for deep learning in microscopy? A hitchhiker’s guide
Adrian Shajkofci, Michael Liebling
http://arxiv.org/abs/2010.03988v1
• [eess.IV]Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation
Zanobya N. Khan
http://arxiv.org/abs/2010.04022v1
• [eess.IV]Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen
http://arxiv.org/abs/2010.04049v1
• [eess.IV]Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding
Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb
http://arxiv.org/abs/2010.04065v1
• [eess.IV]Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation
Adrian Shajkofci, Michael Liebling
http://arxiv.org/abs/2010.04011v1
• [eess.IV]Synthesising clinically realistic Chest X-rays using Generative Adversarial Networks
Bradley Segal, David M. Rubin, Grace Rubin, Adam Pantanowitz
http://arxiv.org/abs/2010.03975v1
• [eess.IV]Tractography filtering using autoencoders
Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin
http://arxiv.org/abs/2010.04007v1
• [eess.IV]pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger
http://arxiv.org/abs/2010.03639v1
• [eess.SP]A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel
Amir Hossein Estiri, Mohammad Reza Sabramooz, Ali Banaei, Amir Hossein Dehghan, Benyamin Jamialahmadi, Mahdi Jafari Siavoshani
http://arxiv.org/abs/2010.03967v1
• [math.NT]On functions with the maximal number of bent components
Nurdagül Anbar, Tekgül Kalaycı, Wilfried Meidl, László Mérai
http://arxiv.org/abs/2010.03801v1
• [math.ST]Conditional Goodness-of-Fit Tests for Discrete Distributions
Rasmus Erlemann, Bo Henry Lindqvist
http://arxiv.org/abs/2010.03891v1
• [math.ST]Estmiation of the Spectral Measure from Convex Combinations of Regularly Varying Random Vectors
Marco Oesting, Olivier Wintenberger
http://arxiv.org/abs/2010.03832v1
• [math.ST]Measuring Association on Topological Spaces Using Kernels and Geometric Graphs
Nabarun Deb, Promit Ghosal, Bodhisattva Sen
http://arxiv.org/abs/2010.01768v2
• [physics.flu-dyn]A novel control mode of bionic morphing tail based on deep reinforcement learning
Liming Zheng, Zhou Zhou, Pengbo Sun, Zhilin Zhang, Rui Wang
http://arxiv.org/abs/2010.03814v1
• [physics.flu-dyn]Emulator-based global sensitivity analysis for flow-like landslide run-out models
Hu Zhao, Florian Amann, Julia Kowalski
http://arxiv.org/abs/2010.04056v1
• [physics.geo-ph]Ensembling geophysical models with Bayesian Neural Networks
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul J. Young
http://arxiv.org/abs/2010.03561v1
• [q-bio.QM]Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients
Adam J. Starr, Manjula Julka, Arun Nethi, John D. Watkins, Ryan W. Fairchild, Michael W. Cripps, Dustin Rinehart, Hayden N. Box
http://arxiv.org/abs/2010.03642v1
• [quant-ph]Quantum-enhanced barcode decoding and pattern recognition
Leonardo Banchi, Quntao Zhuang, Stefano Pirandola
http://arxiv.org/abs/2010.03594v1
• [quant-ph]Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving
Jiahao Yao, Lin Lin, Marin Bukov
http://arxiv.org/abs/2010.03655v1
• [stat.AP]HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
Niccolò Dalmasso, Galen Vincent, Dorit Hammerling, Ann B. Lee
http://arxiv.org/abs/2010.04051v1
• [stat.AP]No increase in COVID-19 mortality after the 2020 primary elections in the USA
Eric M. Feltham, Laura Forastiere, Marcus Alexander, Nicholas A. Christakis
http://arxiv.org/abs/2010.02896v2
• [stat.ME]A multi-surrogate higher-order singular value decomposition tensor emulator for spatio-temporal simulators
Giri Gopalan, Christopher K. Wikle
http://arxiv.org/abs/2010.03985v1
• [stat.ME]A spatial functional count model for heterogeneity analysis in time
Torres-Signes, M. P. Frías, J. Mateu, M. D. Ruiz-Medina
http://arxiv.org/abs/2010.03827v1
• [stat.ME]Mixture-based estimation of entropy
Stéphane Robin, Luca Scrucca
http://arxiv.org/abs/2010.04058v1
• [stat.ME]Multidimensional Adaptive Penalised Splines with Application to Neurons’ Activity Studies
María Xosé Rodríguez-Álvarez, María Durbán, Paul H. C. Eilers, Dae-Jin Lee, Francisco Gonzalez
http://arxiv.org/abs/2010.03828v1
• [stat.ME]Multivariate functional responses low rank regression with an application to brain imaging data
Xiucai Ding, Dengdeng Yu, Zhengwu Zhang, Dehan Kong
http://arxiv.org/abs/2010.03700v1
• [stat.ME]Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
http://arxiv.org/abs/2010.03783v1
• [stat.ML]A Neural Network MCMC sampler that maximizes Proposal Entropy
Zengyi Li, Yubei Chen, Friedrich T. Sommer
http://arxiv.org/abs/2010.03587v1
• [stat.ML]Information Theory Measures via Multidimensional Gaussianization
Valero Laparra, J. Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesus Malo
http://arxiv.org/abs/2010.03807v1
• [stat.ML]Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems
Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni
http://arxiv.org/abs/2010.03729v1
• [stat.ML]Neural Group Actions
Span Spanbauer, Luke Sciarappa
http://arxiv.org/abs/2010.03733v1
• [stat.ML]Olympus: a benchmarking framework for noisy optimization and experiment planning
Florian Häse, Matteo Aldeghi, Riley J. Hickman, Loïc M. Roch, Melodie Christensen, Elena Liles, Jason E. Hein, Alán Aspuru-Guzik
http://arxiv.org/abs/2010.04153v1
• [stat.ML]Prediction intervals for Deep Neural Networks
Tullio Mancini, Hector Calvo-Pardo, Jose Olmo
http://arxiv.org/abs/2010.04044v1
• [stat.ML]Real-time anomaly detection with superexperts
Raisa Dzhamtyrova, Carsten Maple
http://arxiv.org/abs/2010.03857v1
• [stat.ML]Topic Diffusion Discovery Based on Deep Non-negative Autoencoder
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng
http://arxiv.org/abs/2010.03710v1
• [stat.ML]Training GANs with predictive projection centripetal acceleration
Li Keke, Zhang Ke, Liu Qiang, Yang Xinmin
http://arxiv.org/abs/2010.03322v2
• [stat.ML]Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy Mann, Pushmeet Kohli
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