astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.PF - 计算性能 cs.RO - 机器人学 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.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.MG -公制几何 math.NA - 数值分析 math.NT - 数论 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 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]Advancing the Scientific Frontier with Increasingly Autonomous Systems
    • [astro-ph.IM]Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning
    • [cs.AI]An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets
    • [cs.AI]Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
    • [cs.AI]Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
    • [cs.AI]General DeepLCP model for disease prediction : Case of Lung Cancer
    • [cs.AI]Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
    • [cs.AI]One head is better than two: a polynomial restriction for propositional definite Horn forgetting
    • [cs.AI]Question Directed Graph Attention Network for Numerical Reasoning over Text
    • [cs.AI]RDF2Vec Light — A Lightweight Approachfor Knowledge Graph Embeddings
    • [cs.AI]Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
    • [cs.CL]An information theoretic view on selecting linguistic probes
    • [cs.CL]Arabic Opinion Mining Using a Hybrid Recommender System Approach
    • [cs.CL]Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability
    • [cs.CL]Asking Complex Questions with Multi-hop Answer-focused Reasoning
    • [cs.CL]Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
    • [cs.CL]Cascaded Models for Better Fine-Grained Named Entity Recognition
    • [cs.CL]CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
    • [cs.CL]Contextualized Perturbation for Textual Adversarial Attack
    • [cs.CL]DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering
    • [cs.CL]Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
    • [cs.CL]Fast semantic parsing with well-typedness guarantees
    • [cs.CL]GLUCOSE: GeneraLized and COntextualized Story Explanations
    • [cs.CL]Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes’ Rule
    • [cs.CL]Graph-to-Sequence Neural Machine Translation
    • [cs.CL]Grounded Adaptation for Zero-shot Executable Semantic Parsing
    • [cs.CL]Group-wise Contrastive Learning for Neural Dialogue Generation
    • [cs.CL]Knowledge Graphs for Multilingual Language Translation and Generation
    • [cs.CL]Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
    • [cs.CL]Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
    • [cs.CL]Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
    • [cs.CL]Multi-span Style Extraction for Generative Reading Comprehension
    • [cs.CL]Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
    • [cs.CL]NABU — Multilingual Graph-based Neural RDF Verbalizer
    • [cs.CL]Neural Dialogue State Tracking with Temporally Expressive Networks
    • [cs.CL]Parallel Interactive Networks for Multi-Domain Dialogue State Generation
    • [cs.CL]Pardon the Interruption: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments
    • [cs.CL]Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
    • [cs.CL]Retrofitting Structure-aware Transformer Language Model for End Tasks
    • [cs.CL]Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
    • [cs.CL]Simultaneous Machine Translation with Visual Context
    • [cs.CL]Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles
    • [cs.CL]Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
    • [cs.CL]Text Generation by Learning from Off-Policy Demonstrations
    • [cs.CL]UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
    • [cs.CL]Unsupervised Summarization by Jointly Extracting Sentences and Keywords
    • [cs.CR]AI-powered Covert Botnet Command and Control on OSNs
    • [cs.CR]Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model
    • [cs.CR]The Dark (and Bright) Side of IoT: Attacks and Countermeasures to Identification of Smart Home Devices and Services
    • [cs.CV]A Convolutional LSTM based Residual Network for Deepfake Video Detection
    • [cs.CV]A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition
    • [cs.CV]BOP Challenge 2020 on 6D Object Localization
    • [cs.CV]BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
    • [cs.CV]Calibrating Self-supervised Monocular Depth Estimation
    • [cs.CV]ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit
    • [cs.CV]CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
    • [cs.CV]Comparison of Spatiotemporal Networks for Learning Video Related Tasks
    • [cs.CV]Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
    • [cs.CV]Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development
    • [cs.CV]DAER to Reject Seeds with Dual-loss Additional Error Regression
    • [cs.CV]DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
    • [cs.CV]Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss
    • [cs.CV]Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization
    • [cs.CV]Dual Semantic Fusion Network for Video Object Detection
    • [cs.CV]Eating Habits Discovery in Egocentric Photo-streams
    • [cs.CV]EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search
    • [cs.CV]Evaluating Self-Supervised Pretraining Without Using Labels
    • [cs.CV]Exploring Font-independent Features for Scene Text Recognition
    • [cs.CV]FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
    • [cs.CV]GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
    • [cs.CV]HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
    • [cs.CV]Handwritten Script Identification from Text Lines
    • [cs.CV]Hierarchical brain parcellation with uncertainty
    • [cs.CV]Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification
    • [cs.CV]Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
    • [cs.CV]Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision
    • [cs.CV]Layered Neural Rendering for Retiming People in Video
    • [cs.CV]Multi-Label Activity Recognition using Activity-specific Features
    • [cs.CV]Multi-Stage CNN Architecture for Face Mask Detection
    • [cs.CV]Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
    • [cs.CV]Perceiving Traffic from Aerial Images
    • [cs.CV]Pooling Methods in Deep Neural Networks, a Review
    • [cs.CV]Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
    • [cs.CV]Robust Person Re-Identification through Contextual Mutual Boosting
    • [cs.CV]SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
    • [cs.CV]Semantically Sensible Video Captioning (SSVC)
    • [cs.CV]Similarity-based data mining for online domain adaptation of a sonar ATR system
    • [cs.CV]The 1st Tiny Object Detection Challenge:Methods and Results
    • [cs.CV]The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition
    • [cs.CV]TreeGAN: Incorporating Class Hierarchy into Image Generation
    • [cs.CV]UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
    • [cs.CV]Weakly-Supervised Online Hashing
    • [cs.DB]Semantic Property Graph for Scalable Knowledge Graph Analytics
    • [cs.DC]A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
    • [cs.DC]Accelerating Domain Propagation: an Efficient GPU-Parallel Algorithm over Sparse Matrices
    • [cs.DC]GPU Accelerated RIS-based Influence Maximization Algorithm
    • [cs.DC]Hierarchical Roofline Performance Analysis for Deep Learning Applications
    • [cs.DC]High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments
    • [cs.DC]PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems
    • [cs.DL]How to Measure the Performance of a Collaborative Research Center
    • [cs.IR]Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text
    • [cs.IR]Simplified TinyBERT: Knowledge Distillation for Document Retrieval
    • [cs.IT]A Fine-Grained Analysis of mmWave Heterogeneous Networks
    • [cs.IT]Cyclic codes and some new entanglement-assisted quantum MDS codes
    • [cs.IT]Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
    • [cs.IT]Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things
    • [cs.IT]Partial MDS Codes with Regeneration
    • [cs.IT]Radio Resource Management Techniques for Multibeam Satellite Systems
    • [cs.IT]Reconfigurable Intelligent Surface Aided Wireless Localization
    • [cs.IT]Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection
    • [cs.IT]Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems
    • [cs.IT]Twisted Reed-Solomon Codes With One-dimensional Hull
    • [cs.IT]Universality Laws for High-Dimensional Learning with Random Features
    • [cs.LG]A priori guarantees of finite-time convergence for Deep Neural Networks
    • [cs.LG]Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance
    • [cs.LG]An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
    • [cs.LG]Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling
    • [cs.LG]Collaborative Group Learning
    • [cs.LG]Constrained Labeling for Weakly Supervised Learning
    • [cs.LG]Efficient Transformers: A Survey
    • [cs.LG]Evaluating representations by the complexity of learning low-loss predictors
    • [cs.LG]Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
    • [cs.LG]FedSmart: An Auto Updating Federated Learning Optimization Mechanism
    • [cs.LG]Generative models with kernel distance in data space
    • [cs.LG]Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data
    • [cs.LG]Interpretable and Interactive Summaries of Actionable Recourses
    • [cs.LG]Kernel-based L_2-Boosting with Structure Constraints
    • [cs.LG]Landscape of Sparse Linear Network: A Brief Investigation
    • [cs.LG]Lower Bounds for Policy Iteration on Multi-action MDPs
    • [cs.LG]MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
    • [cs.LG]Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
    • [cs.LG]Measuring Information Transfer in Neural Networks
    • [cs.LG]Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
    • [cs.LG]Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
    • [cs.LG]On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
    • [cs.LG]Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users’ Feedback
    • [cs.LG]Path Planning using Neural A Search
    • [cs.LG]Quasi-Autoregressive Residual (QuAR) Flows
    • [cs.LG]Recurrent autoencoder with sequence-aware encoding
    • [cs.LG]Reinforcement Learning for Strategic Recommendations
    • [cs.LG]TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
    • [cs.LG]Thompson Sampling for Unsupervised Sequential Selection
    • [cs.LG]Too Much Information Kills Information: A Clustering Perspective
    • [cs.LG]Transformer Based Multi-Source Domain Adaptation
    • [cs.LG]m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn
    • [cs.MM]A Human-Computer Duet System for Music Performance
    • [cs.MM]Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs
    • [cs.PF]tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations
    • [cs.RO]Cell A     for Navigation of Unmanned Aerial Vehicles in Partially-known Environments
    • [cs.RO]MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
    • [cs.RO]PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line
    • [cs.SE]Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?
    • [cs.SE]Immutable Log Storage as a Service on Private and Public Blockchains
    • [cs.SI]Adoption of Twitter’s New Length Limit: Is 280 the New 140?
    • [cs.SI]Characterizing Attitudinal Network Graphs through Frustration Cloud
    • [cs.SI]Detectability of hierarchical communities in networks
    • [cs.SI]Human biases in body measurement estimation
    • [cs.SI]Scikit-network: Graph Analysis in Python
    • [econ.EM]Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary
    • [econ.EM]Manipulation-Robust Regression Discontinuity Design
    • [eess.IV]Brain tumour segmentation using cascaded 3D densely-connected U-net
    • [eess.IV]Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
    • [eess.IV]Deep Learning in Photoacoustic Tomography: Current approaches and future directions
    • [eess.IV]Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
    • [eess.IV]Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
    • [eess.IV]RCNN for Region of Interest Detection in Whole Slide Images
    • [eess.IV]Surgical Video Motion Magnification with Suppression of Instrument Artefacts
    • [eess.IV]U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image
    • [eess.IV]Video Compression with CNN-based Post Processing
    • [eess.SP]Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions
    • [eess.SP]Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
    • [eess.SY]Distributed formation maneuver control by manipulating the complex Laplacian
    • [eess.SY]Functional sets with typed symbols: Framework and mixed Polynotopes for hybrid nonlinear reachability and filtering
    • [hep-ph]Improved Neural Network Monte Carlo Simulation
    • [math.MG]Related by Similarity II: Poncelet 3-Periodics in the Homothetic Pair and the Brocard Porism
    • [math.NA]Interpolating the Trace of the Inverse of Matrix $\mathbf{A} + t \mathbf{B}$
    • [math.NA]Perturbation expansions and error bounds for the truncated singular value decomposition
    • [math.NT]Characters, Weil sums and $c$-differential uniformity with an application to the perturbed Gold function
    • [math.OC]A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group
    • [math.ST]A Portmanteau-type test for detecting serial correlation in locally stationary functional time series
    • [math.ST]A review on asymptotic inference in stochastic differential equations with mixed-effects
    • [math.ST]An Intrinsic Treatment of Stochastic Linear Regression
    • [physics.comp-ph]Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
    • [physics.soc-ph]Latent Dirichlet Allocation Models for World Trade Analysis
    • [q-bio.NC]Computational tool to study high dimensional dynamic in NMM
    • [q-bio.QM]Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks
    • [q-bio.QM]Scaffold-constrained molecular generation
    • [quant-ph]Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks
    • [stat.AP]Aligning Subjective Ratings in Clinical Decision Making
    • [stat.AP]High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
    • [stat.AP]Identifying latent classes with ordered categorical indicators
    • [stat.AP]Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
    • [stat.ME]Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
    • [stat.ME]Bayesian estimation of trend components within Markovian regime-switching models for wholesale electricity prices: an application to the South Australian wholesale electricity market
    • [stat.ME]Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models
    • [stat.ME]Confidence intervals in general regression models that utilize uncertain prior information
    • [stat.ME]Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
    • [stat.ME]Inference of dynamic systems via manifold-constrained Gaussian processes
    • [stat.ME]Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations
    • [stat.ME]The assessment of replication success based on relative effect size
    • [stat.ME]Time-varying auto-regressive models for count time-series
    • [stat.ML]Better Model Selection with a new Definition of Feature Importance
    • [stat.ML]Convex Calibrated Surrogates for the Multi-Label F-Measure
    • [stat.ML]Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models
    • [stat.ML]Kaggle forecasting competitions: An overlooked learning opportunity
    • [stat.ML]Online nonnegative tensor factorization and CP-dictionary learning for Markovian data
    • [stat.ML]PCA Reduced Gaussian Mixture Models with Applications in Superresolution

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

    • [astro-ph.IM]Advancing the Scientific Frontier with Increasingly Autonomous Systems
    Rashied Amini, Abigail Azari, Shyam Bhaskaran, Patricia Beauchamp, Julie Castillo-Rogez, Rebecca Castano, Seung Chung, John Day, Richard Doyle, Martin Feather, Lorraine Fesq, Jeremy Frank, P. Michael Furlong, Michel Ingham, Brian Kennedy, Ksenia Kolcio, Issa Nesnas, Robert Rasmussen, Glenn Reeves, Cristina Sorice, Bethany Theiling, Jay Wyatt
    http://arxiv.org/abs/2009.07363v1

    • [astro-ph.IM]Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning
    Matthew C. Edwards
    http://arxiv.org/abs/2009.07367v1

    • [cs.AI]An Imprecise Probability Approach for Abstract Argumentation based on Credal Sets
    Mariela Morveli-Espinoza, Juan Carlos Nieves, Cesar Augusto Tacla
    http://arxiv.org/abs/2009.07405v1

    • [cs.AI]Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News
    Reuben Tan, Kate Saenko, Bryan A. Plummer
    http://arxiv.org/abs/2009.07698v1

    • [cs.AI]Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
    Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
    http://arxiv.org/abs/2009.07756v1

    • [cs.AI]General DeepLCP model for disease prediction : Case of Lung Cancer
    Mayssa Ben Kahla, Dalel Kanzari, Ahmed Maalel
    http://arxiv.org/abs/2009.07362v1

    • [cs.AI]Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
    Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
    http://arxiv.org/abs/2009.07429v1

    • [cs.AI]One head is better than two: a polynomial restriction for propositional definite Horn forgetting
    Paolo Liberatore
    http://arxiv.org/abs/2009.07497v1

    • [cs.AI]Question Directed Graph Attention Network for Numerical Reasoning over Text
    Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
    http://arxiv.org/abs/2009.07448v1

    • [cs.AI]RDF2Vec Light — A Lightweight Approachfor Knowledge Graph Embeddings
    Jan Portisch, Michael Hladik, Heiko Paulheim
    http://arxiv.org/abs/2009.07659v1

    • [cs.AI]Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
    Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
    http://arxiv.org/abs/2009.07445v1

    • [cs.CL]An information theoretic view on selecting linguistic probes
    Zining Zhu, Frank Rudzicz
    http://arxiv.org/abs/2009.07364v1

    • [cs.CL]Arabic Opinion Mining Using a Hybrid Recommender System Approach
    Fouzi Harrag, Abdulmalik Salman Al-Salman, Alaa Alquahtani
    http://arxiv.org/abs/2009.07397v1

    • [cs.CL]Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability
    Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long
    http://arxiv.org/abs/2009.07494v1

    • [cs.CL]Asking Complex Questions with Multi-hop Answer-focused Reasoning
    Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu
    http://arxiv.org/abs/2009.07402v1

    • [cs.CL]Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
    Juan Cruz-Benito, Sanjay Vishwakarma, Francisco Martin-Fernandez, Ismael Faro
    http://arxiv.org/abs/2009.07740v1

    • [cs.CL]Cascaded Models for Better Fine-Grained Named Entity Recognition
    Parul Awasthy, Taesun Moon, Jian Ni, Radu Florian
    http://arxiv.org/abs/2009.07317v1

    • [cs.CL]CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
    Tara Safavi, Danai Koutra
    http://arxiv.org/abs/2009.07810v1

    • [cs.CL]Contextualized Perturbation for Textual Adversarial Attack
    Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
    http://arxiv.org/abs/2009.07502v1

    • [cs.CL]DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering
    Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song
    http://arxiv.org/abs/2009.07465v1

    • [cs.CL]Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
    Rujun Han, Yichao Zhou, Nanyun Peng
    http://arxiv.org/abs/2009.07373v1

    • [cs.CL]Fast semantic parsing with well-typedness guarantees
    Matthias Lindemann, Jonas Groschwitz, Alexander Koller
    http://arxiv.org/abs/2009.07365v1

    • [cs.CL]GLUCOSE: GeneraLized and COntextualized Story Explanations
    Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, Jennifer Chu-Carroll
    http://arxiv.org/abs/2009.07758v1

    • [cs.CL]Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes’ Rule
    Shuhei Kurita, Kyunghyun Cho
    http://arxiv.org/abs/2009.07783v1

    • [cs.CL]Graph-to-Sequence Neural Machine Translation
    Sufeng Duan, Hai Zhao, Rui Wang
    http://arxiv.org/abs/2009.07489v1

    • [cs.CL]Grounded Adaptation for Zero-shot Executable Semantic Parsing
    Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
    http://arxiv.org/abs/2009.07396v1

    • [cs.CL]Group-wise Contrastive Learning for Neural Dialogue Generation
    Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao
    http://arxiv.org/abs/2009.07543v1

    • [cs.CL]Knowledge Graphs for Multilingual Language Translation and Generation
    Diego Moussallem
    http://arxiv.org/abs/2009.07715v1

    • [cs.CL]Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
    Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander Gray
    http://arxiv.org/abs/2009.07726v1

    • [cs.CL]Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
    Hao Fei, Yafeng Ren, Donghong Ji
    http://arxiv.org/abs/2009.07411v1

    • [cs.CL]Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
    Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi
    http://arxiv.org/abs/2009.07503v1

    • [cs.CL]Multi-span Style Extraction for Generative Reading Comprehension
    Junjie Yang, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2009.07382v1

    • [cs.CL]Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
    Elena V. Epure, Guillaume Salha, Romain Hennequin
    http://arxiv.org/abs/2009.07755v1

    • [cs.CL]NABU — Multilingual Graph-based Neural RDF Verbalizer
    Diego Moussallem, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2009.07728v1

    • [cs.CL]Neural Dialogue State Tracking with Temporally Expressive Networks
    Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
    http://arxiv.org/abs/2009.07615v1

    • [cs.CL]Parallel Interactive Networks for Multi-Domain Dialogue State Generation
    Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu
    http://arxiv.org/abs/2009.07616v1

    • [cs.CL]Pardon the Interruption: An Analysis of Gender and Turn-Taking in U.S. Supreme Court Oral Arguments
    Haley Lepp, Gina-Anne Levow
    http://arxiv.org/abs/2009.07391v1

    • [cs.CL]Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
    Qing Lyu, Li Zhang, Chris Callison-Burch
    http://arxiv.org/abs/2009.07690v1

    • [cs.CL]Retrofitting Structure-aware Transformer Language Model for End Tasks
    Hao Fei, Yafeng Ren, Donghong Ji
    http://arxiv.org/abs/2009.07408v1

    • [cs.CL]Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
    Alexandra Chronopoulou, Dario Stojanovski, Alexander Fraser
    http://arxiv.org/abs/2009.07610v1

    • [cs.CL]Simultaneous Machine Translation with Visual Context
    Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia
    http://arxiv.org/abs/2009.07310v1

    • [cs.CL]Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles
    Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim
    http://arxiv.org/abs/2009.07473v1

    • [cs.CL]Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
    Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen
    http://arxiv.org/abs/2009.07406v1

    • [cs.CL]Text Generation by Learning from Off-Policy Demonstrations
    Richard Yuanzhe Pang, He He
    http://arxiv.org/abs/2009.07839v1

    • [cs.CL]UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
    Jian Guan, Minlie Huang
    http://arxiv.org/abs/2009.07602v1

    • [cs.CL]Unsupervised Summarization by Jointly Extracting Sentences and Keywords
    Zongyi Li, Xiaoqing Zheng
    http://arxiv.org/abs/2009.07481v1

    • [cs.CR]AI-powered Covert Botnet Command and Control on OSNs
    Zhi Wang, Chaoge Liu, Xiang Cui, Jialong Zhang, Di Wu, Jie Yin, Jiaxi Liu, Qixu Liu, Jinli Zhang
    http://arxiv.org/abs/2009.07707v1

    • [cs.CR]Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model
    Giulia Moschini, Régis Houssou, Jérôme Bovay, Stephan Robert-Nicoud
    http://arxiv.org/abs/2009.07578v1

    • [cs.CR]The Dark (and Bright) Side of IoT: Attacks and Countermeasures to Identification of Smart Home Devices and Services
    Ahmed Mohamed Hussain, Gabriele Oligeri, Thiemo Voigt
    http://arxiv.org/abs/2009.07672v1

    • [cs.CV]A Convolutional LSTM based Residual Network for Deepfake Video Detection
    Shahroz Tariq, Sangyup Lee, Simon S. Woo
    http://arxiv.org/abs/2009.07480v1

    • [cs.CV]A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition
    Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri
    http://arxiv.org/abs/2009.07435v1

    • [cs.CV]BOP Challenge 2020 on 6D Object Localization
    Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbe, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas
    http://arxiv.org/abs/2009.07378v1

    • [cs.CV]BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
    Haisheng Su, Weihao Gan, Wei Wu, Junjie Yan, Yu Qiao
    http://arxiv.org/abs/2009.07641v1

    • [cs.CV]Calibrating Self-supervised Monocular Depth Estimation
    Robert McCraith, Lukas Neumann, Andrea Vedaldi
    http://arxiv.org/abs/2009.07714v1

    • [cs.CV]ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit
    Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, Yanfeng Wang
    http://arxiv.org/abs/2009.07637v1

    • [cs.CV]CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
    Jing Yu, Yuan Chai, Yue Hu, Qi Wu
    http://arxiv.org/abs/2009.07526v1

    • [cs.CV]Comparison of Spatiotemporal Networks for Learning Video Related Tasks
    Logan Courtney, Ramavarapu Sreenivas
    http://arxiv.org/abs/2009.07338v1

    • [cs.CV]Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
    Bianjiang Yang, Zi Hui, Haoji Hu, Xinyi Hu, Lu Yu
    http://arxiv.org/abs/2009.07604v1

    • [cs.CV]Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development
    Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A Krupinski, Mehdi Moradi
    http://arxiv.org/abs/2009.07386v1

    • [cs.CV]DAER to Reject Seeds with Dual-loss Additional Error Regression
    Stephan J. Lemmer, Jason J. Corso
    http://arxiv.org/abs/2009.07414v1

    • [cs.CV]DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
    Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen, Alex Chichung Kot
    http://arxiv.org/abs/2009.07529v1

    • [cs.CV]Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss
    Simone Palazzo, Dario C. Guastella, Luciano Cantelli, Paolo Spadaro, Francesco Rundo, Giovanni Muscato, Daniela Giordano, Concetto Spampinato
    http://arxiv.org/abs/2009.07565v1

    • [cs.CV]Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization
    Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen
    http://arxiv.org/abs/2009.07719v1

    • [cs.CV]Dual Semantic Fusion Network for Video Object Detection
    Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, Hanzi Wang
    http://arxiv.org/abs/2009.07498v1

    • [cs.CV]Eating Habits Discovery in Egocentric Photo-streams
    Estefania Talavera, Andreea Glavan, Alina Matei, Petia Radeva
    http://arxiv.org/abs/2009.07646v1

    • [cs.CV]EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search
    Ching-Chen Wang, Ching-Te Chiu, Jheng-Yi Chang
    http://arxiv.org/abs/2009.07409v1

    • [cs.CV]Evaluating Self-Supervised Pretraining Without Using Labels
    Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer
    http://arxiv.org/abs/2009.07724v1

    • [cs.CV]Exploring Font-independent Features for Scene Text Recognition
    Yizhi Wang, Zhouhui Lian
    http://arxiv.org/abs/2009.07447v1

    • [cs.CV]FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
    Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona, Eduard Vazquez, Sergio Escalera
    http://arxiv.org/abs/2009.07838v1

    • [cs.CV]GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
    Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2009.07823v1

    • [cs.CV]HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
    Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, Bastian Leibe
    http://arxiv.org/abs/2009.07736v1

    • [cs.CV]Handwritten Script Identification from Text Lines
    Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri
    http://arxiv.org/abs/2009.07433v1

    • [cs.CV]Hierarchical brain parcellation with uncertainty
    Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
    http://arxiv.org/abs/2009.07573v1

    • [cs.CV]Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification
    Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Yi Wu, Shengyong Chen
    http://arxiv.org/abs/2009.07536v1

    • [cs.CV]Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
    Yang Liu, Lei Zhou, Xiao Bai, Lin Gu, Tatsuya Harada, Jun Zhou
    http://arxiv.org/abs/2009.07451v1

    • [cs.CV]Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision
    Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti
    http://arxiv.org/abs/2009.07470v1

    • [cs.CV]Layered Neural Rendering for Retiming People in Video
    Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
    http://arxiv.org/abs/2009.07833v1

    • [cs.CV]Multi-Label Activity Recognition using Activity-specific Features
    Yanyi Zhang, Xinyu Li, Ivan Marsic
    http://arxiv.org/abs/2009.07420v1

    • [cs.CV]Multi-Stage CNN Architecture for Face Mask Detection
    Amit Chavda, Jason Dsouza, Sumeet Badgujar, Ankit Damani
    http://arxiv.org/abs/2009.07627v1

    • [cs.CV]Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
    Kaili Wang, Jose Oramas, Tinne Tuytelaars
    http://arxiv.org/abs/2009.07827v1

    • [cs.CV]Perceiving Traffic from Aerial Images
    George Adaimi, Sven Kreiss, Alexandre Alahi
    http://arxiv.org/abs/2009.07611v1

    • [cs.CV]Pooling Methods in Deep Neural Networks, a Review
    Hossein Gholamalinezhad, Hossein Khosravi
    http://arxiv.org/abs/2009.07485v1

    • [cs.CV]Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
    Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis, Pinar Duygulu
    http://arxiv.org/abs/2009.07576v1

    • [cs.CV]Robust Person Re-Identification through Contextual Mutual Boosting
    Zhikang Wang, Lihuo He, Xinbo Gao, Jane Shen
    http://arxiv.org/abs/2009.07491v1

    • [cs.CV]SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
    Daichi Horita, Kiyoharu Aizawa
    http://arxiv.org/abs/2009.07557v1

    • [cs.CV]Semantically Sensible Video Captioning (SSVC)
    Md. Mushfiqur Rahman, Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Fazlul Hasan Siddiqui
    http://arxiv.org/abs/2009.07335v1

    • [cs.CV]Similarity-based data mining for online domain adaptation of a sonar ATR system
    Jean de Bodinat, Thomas Guerneve, Jose Vazquez, Marija Jegorova
    http://arxiv.org/abs/2009.07560v1

    • [cs.CV]The 1st Tiny Object Detection Challenge:Methods and Results
    Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
    http://arxiv.org/abs/2009.07506v1

    • [cs.CV]The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition
    Pablo Barros, Nikhil Churamani, Alessandra Sciutti
    http://arxiv.org/abs/2009.07635v1

    • [cs.CV]TreeGAN: Incorporating Class Hierarchy into Image Generation
    Ruisi Zhang, Luntian Mou, Pengtao Xie
    http://arxiv.org/abs/2009.07734v1

    • [cs.CV]UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
    Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo
    http://arxiv.org/abs/2009.07501v1

    • [cs.CV]Weakly-Supervised Online Hashing
    Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu
    http://arxiv.org/abs/2009.07436v1

    • [cs.DB]Semantic Property Graph for Scalable Knowledge Graph Analytics
    Sumit Purohit, Nhuy Van
    http://arxiv.org/abs/2009.07410v1

    • [cs.DC]A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal
    Chenglong Zhang
    http://arxiv.org/abs/2009.07463v1

    • [cs.DC]Accelerating Domain Propagation: an Efficient GPU-Parallel Algorithm over Sparse Matrices
    Boro Sofranac, Ambros Gleixner, Sebastian Pokutta
    http://arxiv.org/abs/2009.07785v1

    • [cs.DC]GPU Accelerated RIS-based Influence Maximization Algorithm
    Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
    http://arxiv.org/abs/2009.07325v1

    • [cs.DC]Hierarchical Roofline Performance Analysis for Deep Learning Applications
    Yunsong Wang, Charlene Yang, Steven Farrell, Thorsten Kurth, Samuel Williams
    http://arxiv.org/abs/2009.05257v2

    • [cs.DC]High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments
    Jie Zhao, Maria A. Rodriguez, Rajkumar Buyya
    http://arxiv.org/abs/2009.07399v1

    • [cs.DC]PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems
    Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey
    http://arxiv.org/abs/2009.07482v1

    • [cs.DL]How to Measure the Performance of a Collaborative Research Center
    Alona Zharova, Janine Tellinger-Rice, Wolfgang Karl Härdle
    http://arxiv.org/abs/2009.07568v1

    • [cs.IR]Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text
    Yadan Fan, Sicheng Zhou, Yifan Li, Rui Zhang
    http://arxiv.org/abs/2009.07780v1

    • [cs.IR]Simplified TinyBERT: Knowledge Distillation for Document Retrieval
    Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun
    http://arxiv.org/abs/2009.07531v1

    • [cs.IT]A Fine-Grained Analysis of mmWave Heterogeneous Networks
    Le Yang, Fu-Chun Zheng, Shi Jin
    http://arxiv.org/abs/2009.07537v1

    • [cs.IT]Cyclic codes and some new entanglement-assisted quantum MDS codes
    Wan Jiang, Shixin Zhu, Xiaojing Chen
    http://arxiv.org/abs/2009.07422v1

    • [cs.IT]Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
    Xuemeng Liu, Chang Liu, Yonghui Li, Branka Vucetic, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2009.07468v1

    • [cs.IT]Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things
    Qiao Qi, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
    http://arxiv.org/abs/2009.07545v1

    • [cs.IT]Partial MDS Codes with Regeneration
    Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh
    http://arxiv.org/abs/2009.07643v1

    • [cs.IT]Radio Resource Management Techniques for Multibeam Satellite Systems
    Steven Kisseleff, Eva Lagunas, Tedros Salih Abdu, Symeon Chatzinotas, Björn Ottersten
    http://arxiv.org/abs/2009.07534v1

    • [cs.IT]Reconfigurable Intelligent Surface Aided Wireless Localization
    Yiming Liu, Erwu Liu, Rui Wang
    http://arxiv.org/abs/2009.07459v1

    • [cs.IT]Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection
    Jinglian He, Kaiqiang Yu, Yuanming Shi, Yong Zhou, Wei Chen, Khaled B. Letaief
    http://arxiv.org/abs/2009.07546v1

    • [cs.IT]Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems
    Mustafa Emara, Hesham ElSawy, Miltiades C. Filippou, Gerhard Bauch
    http://arxiv.org/abs/2009.07786v1

    • [cs.IT]Twisted Reed-Solomon Codes With One-dimensional Hull
    Yansheng Wu
    http://arxiv.org/abs/2009.07743v1

    • [cs.IT]Universality Laws for High-Dimensional Learning with Random Features
    Hong Hu, Yue M. Lu
    http://arxiv.org/abs/2009.07669v1

    • [cs.LG]A priori guarantees of finite-time convergence for Deep Neural Networks
    Anushree Rankawat, Mansi Rankawat, Harshal B. Oza
    http://arxiv.org/abs/2009.07509v1

    • [cs.LG]Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance
    Himanshu Pradeep Aswani, Amit Sethi
    http://arxiv.org/abs/2009.07793v1

    • [cs.LG]An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
    Márcio P. Basgalupp, Rodrigo C. Barros, Alex G. C. de Sá, Gisele L. Pappa, Rafael G. Mantovani, André C. P. L. F. de Carvalho, Alex A. Freitas
    http://arxiv.org/abs/2009.07430v1

    • [cs.LG]Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling
    Abdelhak Lemkhenter, Paolo Favaro
    http://arxiv.org/abs/2009.07664v1

    • [cs.LG]Collaborative Group Learning
    Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun
    http://arxiv.org/abs/2009.07712v1

    • [cs.LG]Constrained Labeling for Weakly Supervised Learning
    Chidubem Arachie, Bert Huang
    http://arxiv.org/abs/2009.07360v1

    • [cs.LG]Efficient Transformers: A Survey
    Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
    http://arxiv.org/abs/2009.06732v2

    • [cs.LG]Evaluating representations by the complexity of learning low-loss predictors
    William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho
    http://arxiv.org/abs/2009.07368v1

    • [cs.LG]Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
    Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
    http://arxiv.org/abs/2009.07453v1

    • [cs.LG]FedSmart: An Auto Updating Federated Learning Optimization Mechanism
    Anxun He, Jianzong Wang, Zhangcheng Huang, Jing Xiao
    http://arxiv.org/abs/2009.07455v1

    • [cs.LG]Generative models with kernel distance in data space
    Szymon Knop, Marcin Mazur, Przemysław Spurek, Jacek Tabor, Igor Podolak
    http://arxiv.org/abs/2009.07327v1

    • [cs.LG]Grassmannian diffusion maps based dimension reduction and classification for high-dimensional data
    K. R. M. dos Santos, D. D. Giovanis, M. D. Shields
    http://arxiv.org/abs/2009.07547v1

    • [cs.LG]Interpretable and Interactive Summaries of Actionable Recourses
    Kaivalya Rawal, Himabindu Lakkaraju
    http://arxiv.org/abs/2009.07165v2

    • [cs.LG]Kernel-based L_2-Boosting with Structure Constraints
    Yao Wang, Xin Guo, Shao-Bo Lin
    http://arxiv.org/abs/2009.07558v1

    • [cs.LG]Landscape of Sparse Linear Network: A Brief Investigation
    Dachao Lin, Ruoyu Sun, Zhihua Zhang
    http://arxiv.org/abs/2009.07439v1

    • [cs.LG]Lower Bounds for Policy Iteration on Multi-action MDPs
    Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan
    http://arxiv.org/abs/2009.07842v1

    • [cs.LG]MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
    Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
    http://arxiv.org/abs/2009.07460v1

    • [cs.LG]Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
    Erick Galinkin
    http://arxiv.org/abs/2009.07753v1

    • [cs.LG]Measuring Information Transfer in Neural Networks
    Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu
    http://arxiv.org/abs/2009.07624v1

    • [cs.LG]Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
    Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
    http://arxiv.org/abs/2009.07415v1

    • [cs.LG]Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
    Alexander Lavin
    http://arxiv.org/abs/2009.07738v1

    • [cs.LG]On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
    Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
    http://arxiv.org/abs/2009.07799v1

    • [cs.LG]Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users’ Feedback
    Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski
    http://arxiv.org/abs/2009.07518v1

    • [cs.LG]**Path Planning using Neural A Search
    Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki
    http://arxiv.org/abs/2009.07476v1

    • [cs.LG]Quasi-Autoregressive Residual (QuAR) Flows
    Achintya Gopal
    http://arxiv.org/abs/2009.07419v1

    • [cs.LG]Recurrent autoencoder with sequence-aware encoding
    Robert Susik
    http://arxiv.org/abs/2009.07349v1

    • [cs.LG]Reinforcement Learning for Strategic Recommendations
    Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs
    http://arxiv.org/abs/2009.07346v1

    • [cs.LG]TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
    Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
    http://arxiv.org/abs/2009.07769v1

    • [cs.LG]Thompson Sampling for Unsupervised Sequential Selection
    Arun Verma, Manjesh K. Hanawal, Nandyala Hemachandra
    http://arxiv.org/abs/2009.07554v1

    • [cs.LG]Too Much Information Kills Information: A Clustering Perspective
    Yicheng Xu, Vincent Chau, Chenchen Wu, Yong Zhang, Vassilis Zissimopoulos, Yifei Zou
    http://arxiv.org/abs/2009.07417v1

    • [cs.LG]Transformer Based Multi-Source Domain Adaptation
    Dustin Wright, Isabelle Augenstein
    http://arxiv.org/abs/2009.07806v1

    • [cs.LG]m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn
    Luca Parisi
    http://arxiv.org/abs/2009.07530v1

    • [cs.MM]A Human-Computer Duet System for Music Performance
    Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, Li Su
    http://arxiv.org/abs/2009.07816v1

    • [cs.MM]Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs
    Kexin Feng, Preeti Zanwar, Amir H. Behzadan, Theodora Chaspari
    http://arxiv.org/abs/2009.07504v1

    • [cs.PF]tinyMD: A Portable and Scalable Implementation for Pairwise Interactions Simulations
    Rafael Ravedutti L. Machado, Jonas Schmitt, Sebastian Eibl, Jan Eitzinger, Roland Leißa, Sebastian Hack, Arsène Pérard-Gayot, Richard Membarth, Harald Köstler
    http://arxiv.org/abs/2009.07400v1

    • [cs.RO]**Cell A for Navigation of Unmanned Aerial Vehicles in Partially-known Environments
    Wenjian Hao, Rongyao Wang, Alexander Krolicki, Yiqiang Han
    http://arxiv.org/abs/2009.07404v1

    • [cs.RO]MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
    Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
    http://arxiv.org/abs/2009.07517v1

    • [cs.RO]PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line
    Qiang Fu, Jialong Wang, Hongshan Yu, Islam Ali, Feng Guo, Hong Zhang
    http://arxiv.org/abs/2009.07462v1

    • [cs.SE]Does Link Prediction Help Detect Feature Interactions in Software Product Lines (SPLs)?
    Seyedehzahra Khoshmanesh, Robyn Lutz
    http://arxiv.org/abs/2009.07392v1

    • [cs.SE]Immutable Log Storage as a Service on Private and Public Blockchains
    William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy Miranskyy
    http://arxiv.org/abs/2009.07834v1

    • [cs.SI]Adoption of Twitter’s New Length Limit: Is 280 the New 140?
    Kristina Gligorić, Ashton Anderson, Robert West
    http://arxiv.org/abs/2009.07661v1

    • [cs.SI]Characterizing Attitudinal Network Graphs through Frustration Cloud
    Lucas Rusnak, Jelena Tešić
    http://arxiv.org/abs/2009.07776v1

    • [cs.SI]Detectability of hierarchical communities in networks
    Leto Peel, Michael T. Schaub
    http://arxiv.org/abs/2009.07525v1

    • [cs.SI]Human biases in body measurement estimation
    Kirill Martynov, Kiran Garimella, Robert West
    http://arxiv.org/abs/2009.07828v1

    • [cs.SI]Scikit-network: Graph Analysis in Python
    Thomas Bonald, Nathan de Lara, Quentin Lutz, Bertrand Charpentier
    http://arxiv.org/abs/2009.07660v1

    • [econ.EM]Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary
    Timo Dimitriadis, Xiaochun Liu, Julie Schnaitmann
    http://arxiv.org/abs/2009.07341v1

    • [econ.EM]Manipulation-Robust Regression Discontinuity Design
    Takuya Ishihara, Masayuki Sawada
    http://arxiv.org/abs/2009.07551v1

    • [eess.IV]Brain tumour segmentation using cascaded 3D densely-connected U-net
    Mina Ghaffari, Arcot Sowmya, Ruth Oliver
    http://arxiv.org/abs/2009.07563v1

    • [eess.IV]Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
    Zhao Wang, Quande Liu, Qi Dou
    http://arxiv.org/abs/2009.07652v1

    • [eess.IV]Deep Learning in Photoacoustic Tomography: Current approaches and future directions
    Andreas Hauptmann, Ben Cox
    http://arxiv.org/abs/2009.07608v1

    • [eess.IV]Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
    Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
    http://arxiv.org/abs/2009.07469v1

    • [eess.IV]Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
    Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiaoxiang Zhu
    http://arxiv.org/abs/2009.07683v1

    • [eess.IV]RCNN for Region of Interest Detection in Whole Slide Images
    A Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster
    http://arxiv.org/abs/2009.07532v1

    • [eess.IV]Surgical Video Motion Magnification with Suppression of Instrument Artefacts
    Mirek Janatka, Hani J. Marcus, Neil L. Dorward, Danail Stoyanov
    http://arxiv.org/abs/2009.07432v1

    • [eess.IV]U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image
    Lukman Hakim, Novanto Yudistira, Muthusubash Kavitha, Takio Kurita
    http://arxiv.org/abs/2009.07567v1

    • [eess.IV]Video Compression with CNN-based Post Processing
    Fan Zhang, Di Ma, Chen Feng, David R. Bull
    http://arxiv.org/abs/2009.07583v1

    • [eess.SP]Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions
    Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
    http://arxiv.org/abs/2009.07774v1

    • [eess.SP]Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
    Chang Liu, Weijie Yuan, Zhiqiang Wei, Xuemeng Liu, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2009.07478v1

    • [eess.SY]Distributed formation maneuver control by manipulating the complex Laplacian
    Hector Garcia de Marina
    http://arxiv.org/abs/2009.07625v1

    • [eess.SY]Functional sets with typed symbols: Framework and mixed Polynotopes for hybrid nonlinear reachability and filtering
    Christophe Combastel
    http://arxiv.org/abs/2009.07387v1

    • [hep-ph]Improved Neural Network Monte Carlo Simulation
    I-Kai Chen, Matthew D. Klimek, Maxim Perelstein
    http://arxiv.org/abs/2009.07819v1

    • [math.MG]Related by Similarity II: Poncelet 3-Periodics in the Homothetic Pair and the Brocard Porism
    Dan Reznik, Ronaldo Garcia
    http://arxiv.org/abs/2009.07647v1

    • [math.NA]Interpolating the Trace of the Inverse of Matrix $\mathbf{A} + t \mathbf{B}$
    Siavash Ameli, Shawn C. Shadden
    http://arxiv.org/abs/2009.07385v1

    • [math.NA]Perturbation expansions and error bounds for the truncated singular value decomposition
    Trung Vu, Evgenia Chunikhina, Raviv Raich
    http://arxiv.org/abs/2009.07542v1

    • [math.NT]Characters, Weil sums and $c$-differential uniformity with an application to the perturbed Gold function
    Pantelimon Stanica, Constanza Riera, Anton Tkachenko
    http://arxiv.org/abs/2009.07779v1

    • [math.OC]A Unified Approach to Synchronization Problems over Subgroups of the Orthogonal Group
    Huikang Liu, Man-Chung Yue, Anthony Man-Cho So
    http://arxiv.org/abs/2009.07514v1

    • [math.ST]A Portmanteau-type test for detecting serial correlation in locally stationary functional time series
    Axel Bücher, Holger Dette, Florian Heinrichs
    http://arxiv.org/abs/2009.07312v1

    • [math.ST]A review on asymptotic inference in stochastic differential equations with mixed-effects
    Maud Delattre
    http://arxiv.org/abs/2009.07516v1

    • [math.ST]An Intrinsic Treatment of Stochastic Linear Regression
    Yu-Lin Chou
    http://arxiv.org/abs/2009.07805v1

    • [physics.comp-ph]Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
    Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd Munson, Choong-Seock Chang
    http://arxiv.org/abs/2009.07330v1

    • [physics.soc-ph]Latent Dirichlet Allocation Models for World Trade Analysis
    Diego Kozlowski, Viktoriya Semeshenko, Andrea Molinari
    http://arxiv.org/abs/2009.07727v1

    • [q-bio.NC]Computational tool to study high dimensional dynamic in NMM
    A. González-Mitjans, D. Paz-Linares, A. Areces-Gonzalez, ML. Bringas-Vega, P. A Valdés-Sosa
    http://arxiv.org/abs/2009.07479v1

    • [q-bio.QM]Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks
    Gabriel Maher, Casey Fleeter, Daniele Schiavazzi, Alison Marsden
    http://arxiv.org/abs/2009.07395v1

    • [q-bio.QM]Scaffold-constrained molecular generation
    Maxime Langevin, Herve Minoux, Maximilien Levesque, Marc Bianciotto
    http://arxiv.org/abs/2009.07778v1

    • [quant-ph]Efficient Approximate Quantum State Tomography with Basis Dependent Neural-Networks
    Alistair W. R. Smith, Johnnie Gray, M. S. Kim
    http://arxiv.org/abs/2009.07601v1

    • [stat.AP]Aligning Subjective Ratings in Clinical Decision Making
    Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm
    http://arxiv.org/abs/2009.06403v1

    • [stat.AP]High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
    Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
    http://arxiv.org/abs/2009.07356v1

    • [stat.AP]Identifying latent classes with ordered categorical indicators
    R. Noah Padgett, Rebecca J. Tipton
    http://arxiv.org/abs/2009.07345v1

    • [stat.AP]Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins
    Holly F. Fisher, Richard J. Boys, Colin S. Gillespie, Carole J. Proctor, Andrew Golightly
    http://arxiv.org/abs/2009.07594v1

    • [stat.ME]Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
    Cheng-Han Yu, Meng Li, Colin Noe, Simon Fischer-Baum, Marina Vannucci
    http://arxiv.org/abs/2009.07745v1

    • [stat.ME]Bayesian estimation of trend components within Markovian regime-switching models for wholesale electricity prices: an application to the South Australian wholesale electricity market
    Angus Lewis, Nigel Bean, Giang Nguyen
    http://arxiv.org/abs/2009.07471v1

    • [stat.ME]Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models
    Marie Du Roy de Chaumaray, Matthieu Marbac
    http://arxiv.org/abs/2009.07662v1

    • [stat.ME]Confidence intervals in general regression models that utilize uncertain prior information
    Paul Kabaila, Nishika Ranathunga
    http://arxiv.org/abs/2009.07464v1

    • [stat.ME]Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
    Xiaohong Chen, Ying Liu, Shujie Ma, Zheng Zhang
    http://arxiv.org/abs/2009.07055v2

    • [stat.ME]Inference of dynamic systems via manifold-constrained Gaussian processes
    Shihao Yang, Samuel W. K. Wong, S. C. Kou
    http://arxiv.org/abs/2009.07444v1

    • [stat.ME]Intrinsic Riemannian Functional Data Analysis for Sparse Longitudinal Observations
    Zhenhua Lin, Lingxuan Shao, Fang Yao
    http://arxiv.org/abs/2009.07427v1

    • [stat.ME]The assessment of replication success based on relative effect size
    Leonhard Held, Charlotte Micheloud, Samuel Pawel
    http://arxiv.org/abs/2009.07782v1

    • [stat.ME]Time-varying auto-regressive models for count time-series
    Arkaprava Roy, Sayar Karmakar
    http://arxiv.org/abs/2009.07634v1

    • [stat.ML]Better Model Selection with a new Definition of Feature Importance
    Fan Fang, Carmine Ventre, Lingbo Li, Leslie Kanthan, Fan Wu, Michail Basios
    http://arxiv.org/abs/2009.07708v1

    • [stat.ML]Convex Calibrated Surrogates for the Multi-Label F-Measure
    Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal
    http://arxiv.org/abs/2009.07801v1

    • [stat.ML]Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models
    Hang Yu, Justin Dauwels
    http://arxiv.org/abs/2009.07703v1

    • [stat.ML]Kaggle forecasting competitions: An overlooked learning opportunity
    Casper Solheim Bojer, Jens Peder Meldgaard
    http://arxiv.org/abs/2009.07701v1

    • [stat.ML]Online nonnegative tensor factorization and CP-dictionary learning for Markovian data
    Christopher Strohmeier, Hanbaek Lyu, Deanna Needell
    http://arxiv.org/abs/2009.07612v1

    • [stat.ML]PCA Reduced Gaussian Mixture Models with Applications in Superresolution
    Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-Fancois Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Saadaldin, Gabriele Steidl
    http://arxiv.org/abs/2009.07520v1