cond-mat.soft - 软凝聚物质
cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DS - 数据结构与算法 cs.ET - 新兴技术 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AG - 代数几何 math.FA - 泛函演算 math.NT - 数论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.flu-dyn - 流体动力学 physics.geo-ph - 地球物理学 physics.med-ph - 医学物理学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.soft]Machine Learning for Phase Behavior in Active Matter Systems
• [cs.AI]Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning
• [cs.AI]Explainable AI for System Failures: Generating Explanations that ImproveHuman Assistance in Fault Recovery
• [cs.AI]FSPN: A New Class of Probabilistic Graphical Model
• [cs.AI]Game Plan: What AI can do for Football, and What Football can do for AI
• [cs.AI]Language Acquisition Environment for Human-Level Artificial Intelligence
• [cs.AI]On the Relationship Between KR Approaches for Explainable Planning
• [cs.AI]PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning
• [cs.AI]Using Unity to Help Solve Intelligence
• [cs.AR]A Survey of System Architectures and Techniques for FPGA Virtualization
• [cs.CL]Argumentative Topology: Finding Loop(holes) in Logic
• [cs.CL]Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
• [cs.CL]Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer’s Disease
• [cs.CL]Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
• [cs.CL]Do Fine-tuned Commonsense Language Models Really Generalize?
• [cs.CL]EasyTransfer — A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
• [cs.CL]Exploring Neural Entity Representations for Semantic Information
• [cs.CL]Gunrock 2.0: A User Adaptive Social Conversational System
• [cs.CL]Improving Document-Level Sentiment Analysis with User and Product Context
• [cs.CL]Inspecting state of the art performance and NLP metrics in image-based medical report generation
• [cs.CL]KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
• [cs.CL]LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization
• [cs.CL]Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models
• [cs.CL]Master Thesis: Neural Sign Language Translation by Learning Tokenization
• [cs.CL]On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition
• [cs.CL]Out-of-Task Training for Dialog State Tracking Models
• [cs.CL]Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification
• [cs.CL]Predictions For Pre-training Language Models
• [cs.CL]Sequence-Level Mixed Sample Data Augmentation
• [cs.CL]The Ubiqus English-Inuktitut System for WMT20
• [cs.CL]Topology of Word Embeddings: Singularities Reflect Polysemy
• [cs.CL]Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
• [cs.CR]Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks
• [cs.CR]Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
• [cs.CR]Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
• [cs.CR]On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch
• [cs.CV]3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
• [cs.CV]A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
• [cs.CV]A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
• [cs.CV]A Multi-class Approach — Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning
• [cs.CV]A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits
• [cs.CV]ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching
• [cs.CV]Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs
• [cs.CV]Adversarial collision attacks on image hashing functions
• [cs.CV]Analyzing and Mitigating Compression Defects in Deep Learning
• [cs.CV]Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
• [cs.CV]AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
• [cs.CV]CGAP2: Context and gap aware predictive pose framework for early detection of gestures
• [cs.CV]Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks
• [cs.CV]Contrastive Registration for Unsupervised Medical Image Segmentation
• [cs.CV]Convolutional Autoencoder for Blind Hyperspectral Image Unmixing
• [cs.CV]Deep Active Surface Models
• [cs.CV]Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
• [cs.CV]Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
• [cs.CV]DeepNAG: Deep Non-Adversarial Gesture Generation
• [cs.CV]Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
• [cs.CV]Dense Contrastive Learning for Self-Supervised Visual Pre-Training
• [cs.CV]Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
• [cs.CV]End-to-End Object Detection with Adaptive Clustering Transformer
• [cs.CV]Explicitly Learning Topology for Differentiable Neural Architecture Search
• [cs.CV]Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
• [cs.CV]FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
• [cs.CV]Layer-Wise Data-Free CNN Compression
• [cs.CV]Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
• [cs.CV]MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
• [cs.CV]Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
• [cs.CV]Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
• [cs.CV]Multigrid-in-Channels Neural Network Architectures
• [cs.CV]Multimodal Prototypical Networks for Few-shot Learning
• [cs.CV]Online Exemplar Fine-Tuning for Image-to-Image Translation
• [cs.CV]Positive-Congruent Training: Towards Regression-Free Model Updates
• [cs.CV]Privileged Knowledge Distillation for Online Action Detection
• [cs.CV]Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset
• [cs.CV]RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
• [cs.CV]Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting
• [cs.CV]Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
• [cs.CV]Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
• [cs.CV]TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
• [cs.CV]Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
• [cs.CV]Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results
• [cs.CV]UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
• [cs.CV]Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification
• [cs.CV]Visual Forecasting of Time Series with Image-to-Image Regression
• [cs.CV]Whose hand is this? Person Identification from Egocentric Hand Gestures
• [cs.CV]Your “Labrador” is My “Dog”: Fine-Grained, or Not
• [cs.DB]FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
• [cs.DB]First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries
• [cs.DB]Query Expressibility and Verification in Ontology-Based Data Access
• [cs.DC]A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
• [cs.DC]Ginkgo — A Math Library designed for Platform Portability
• [cs.DC]High-Throughput and Memory-Efficient Parallel Viterbi Decoder for Convolutional Codes on GPU
• [cs.DC]Uniform Bipartition in the Population Protocol Model with Arbitrary Communication Graphs
• [cs.DC]Whale: A Unified Distributed Training Framework
• [cs.DS]Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS
• [cs.DS]Online Paging with a Vanishing Regret
• [cs.ET]Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations
• [cs.IT]A Novel RIS-Assisted Modulation Scheme
• [cs.IT]Designing Cost- and Energy-Efficient Cell-Free Massive MIMO Network with Fiber and FSO Fronthaul Links
• [cs.IT]On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems
• [cs.IT]Performance Analysis of Dual-Hop Mixed PLC/RF Communication Systems
• [cs.IT]Performance Analysis of UAV-based Mixed RF-UWOC Transmission Systems
• [cs.IT]Quantum Broadcast Channels with Cooperating Decoders: An Information-Theoretic Perspective on Quantum Repeaters
• [cs.IT]Semi-blind Channel Estimation and Data Detection for Multi-cell Massive MIMO Systems on Time-Varying Channels
• [cs.IT]Study of Opportunistic Relaying and Jamming Based on Secrecy-Rate Maximization for Buffer-Aided Relay Systems
• [cs.IT]Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
• [cs.LG]A Discussion on Practical Considerations with Sparse Regression Methodologies
• [cs.LG]A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
• [cs.LG]A User’s Guide to Calibrating Robotics Simulators
• [cs.LG]A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
• [cs.LG]C-Learning: Learning to Achieve Goals via Recursive Classification
• [cs.LG]Contrastive Weight Regularization for Large Minibatch SGD
• [cs.LG]Counterfactual Credit Assignment in Model-Free Reinforcement Learning
• [cs.LG]Distributed Online Learning with Multiple Kernels
• [cs.LG]Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
• [cs.LG]Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
• [cs.LG]FLaaS: Federated Learning as a Service
• [cs.LG]FROST: Faster and more Robust One-shot Semi-supervised Training
• [cs.LG]Generating universal language adversarial examples by understanding and enhancing the transferability across neural models
• [cs.LG]Gradient Starvation: A Learning Proclivity in Neural Networks
• [cs.LG]Introduction to Core-sets: an Updated Survey
• [cs.LG]Inverse Reinforcement Learning via Matching of Optimality Profiles
• [cs.LG]Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
• [cs.LG]Learning Interpretable Flight’s 4D Landing Parameters Using Tunnel Gaussian Process
• [cs.LG]Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
• [cs.LG]SIENA: Stochastic Multi-Expert Neural Patcher
• [cs.LG]Self-Gradient Networks
• [cs.LG]Statistical model-based evaluation of neural networks
• [cs.LG]TreeGen — a Monte Carlo generator for data frames
• [cs.LG]Weighted Entropy Modification for Soft Actor-Critic
• [cs.LG]ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks
• [cs.NE]Adversarial Turing Patterns from Cellular Automata
• [cs.NE]Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks
• [cs.PL]Learning functional programs with function invention and reuse
• [cs.RO]An analytical diabolo model for robotic learning and control
• [cs.RO]Barycode-based GJK Algorithm
• [cs.RO]Cautious Bayesian Optimization for Efficient and Scalable Policy Search
• [cs.RO]Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge
• [cs.RO]Diverse Plausible S
58d2
hape Completions from Ambiguous Depth Images
• [cs.RO]Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
• [cs.RO]EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation
• [cs.RO]Experimental Study on Reinforcement Learning-based Control of an Acrobot
• [cs.RO]Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband
• [cs.RO]Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms
• [cs.RO]Learning control for transmission and navigation with a mobile robot under unknown communication rates
• [cs.RO]More Informed Random Sample Consensus
• [cs.RO]Near-Optimal Multi-Robot Motion Planning with Finite Sampling
• [cs.RO]Prognostic and Health Management (PHM) tool for Robot Operating System (ROS)
• [cs.RO]Reactive Human-to-Robot Handovers of Arbitrary Objects
• [cs.RO]Robot Task Planning for Low Entropy Belief States
• [cs.RO]Tracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing
• [cs.RO]Vision-Based Shape Reconstruction of Soft Continuum Arms Using a Geometric Strain Parametrization
• [cs.SI]A First Look at COVID-19 Messages on WhatsAppin Pakistan
• [cs.SI]Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
• [cs.SI]Connected-Dense-Connected Subgraphs in Triple Networks
• [cs.SI]Link prediction in multiplex networks via triadic closure
• [cs.SI]On Influencing the Influential: Disparity Seeding
• [econ.EM]A Two-Way Transformed Factor Model for Matrix-Variate Time Series
• [econ.TH]Allocating marketing resources over social networks: A long-term analysis
• [eess.AS]Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding
• [eess.IV]CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
• [eess.IV]Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
• [eess.IV]HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images
• [eess.IV]Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
• [eess.IV]Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR
• [eess.IV]SoftSeg: Advantages of soft versus binary training for image segmentation
• [eess.IV]Towards online monitoring and data-driven control: a study of segmentation algorithms for infrared images of the powder bed
• [eess.SP]Adaptive Contention Window Design using Deep Q-learning
• [eess.SP]Distributed Scheduling using Graph Neural Networks
• [eess.SP]Noise-Resilient Automatic Interpretation of Holter ECG Recordings
• [eess.SP]Reconfigurable Intelligent Surface Assisted Cooperative Non-orthogonal Multiple Access Systems
• [math.AG]Maximum Likelihood Estimation for Nets of Conics
• [math.FA]Neural network approximation and estimation of classifiers with classification boundary in a Barron class
• [math.NT]Machine-Learning Number Fields
• [math.OC]On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
• [math.PR]Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition
• [math.ST]A Compounded Probability Model for Decreasing Hazard and its Inferential Properties
• [math.ST]Matrix compatibility and correlation representation of Gini’s gamma
• [math.ST]Post-Selection Inference via Algorithmic Stability
• [physics.ao-ph]Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches
• [physics.flu-dyn]Bayesian mass averaging
• [physics.geo-ph]Data-driven Accelerogram Synthesis using Deep Generative Models
• [physics.med-ph]Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data
• [physics.med-ph]Voxelwise principal component analysis of dynamic [S-methyl-11C]methionine PET data in glioma patients
• [stat.AP]Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters
• [stat.AP]Improved Grey System Models for Predicting Traffic Parameters
• [stat.AP]Learning drivers of climate-induced human migrations with Gaussian processes
• [stat.AP]Queue Length Estimation at Traffic Signals: Connected Vehicles with Range Measurement Sensors
• [stat.AP]Skewed Distributions or Transformations? Modelling Skewness for a Cluster Analysis
• [stat.AP]The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)
• [stat.ME]A kernel test for quasi-independence
• [stat.ME]Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring
• [stat.ME]An application of Zero-One Inflated Beta regression models for predicting health insurance reimbursement
• [stat.ME]Assessing contribution of treatment phases through tipping point analyses using rank preserving structural failure time models
• [stat.ME]Canonical Regression Quantiles with application to CEO compensation and predicting company performance
• [stat.ME]Estimating Seroprevalence of SARS-CoV-2 Coronavirus in Ohio: A Bayesian Multilevel Regression and Poststratification Approach with Multiple Imperfect Diagnostic Tests
• [stat.ML]Benign Overfitting in Binary Classification of Gaussian Mixtures
• [stat.ML]Bias-Variance Trade-off and Overlearning in Dynamic Decision Problems
• [stat.ML]Detecting Hierarchical Changes in Latent Variable Models
• [stat.ML]On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
• [stat.ML]Plug-And-Play Learned Gaussian-mixture Approximate Message Passing
• [stat.ML]Understanding Variational Inference in Function-Space
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• [cond-mat.soft]Machine Learning for Phase Behavior in Active Matter Systems
Austin R. Dulaney, John F. Brady
http://arxiv.org/abs/2011.09458v1
• [cs.AI]Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning
Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang
http://arxiv.org/abs/2011.09034v1
• [cs.AI]Explainable AI for System Failures: Generating Explanations that ImproveHuman Assistance in Fault Recovery
Devleena Das, Siddhartha Banerjee, Sonia Chernova
http://arxiv.org/abs/2011.09407v1
• [cs.AI]FSPN: A New Class of Probabilistic Graphical Model
Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou
http://arxiv.org/abs/2011.09020v1
• [cs.AI]Game Plan: What AI can do for Football, and What Football can do for AI
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
http://arxiv.org/abs/2011.09192v1
• [cs.AI]Language Acquisition Environment for Human-Level Artificial Intelligence
Deokgun Park
http://arxiv.org/abs/2011.09410v1
• [cs.AI]On the Relationship Between KR Approaches for Explainable Planning
Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son
http://arxiv.org/abs/2011.09006v1
• [cs.AI]PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning
Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat Bhargava
http://arxiv.org/abs/2011.08999v1
• [cs.AI]Using Unity to Help Solve Intelligence
Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter, Manuel Sanchez, Ricardo Barreira, Seb Noury, Keith Anderson, Jay Lemmon, Jonathan Coe, Piotr Trochim, Tom Handley, Adrian Bolton
http://arxiv.org/abs/2011.09294v1
• [cs.AR]A Survey of System Architectures and Techniques for FPGA Virtualization
Masudul Hassan Quraishi, Erfan Bank Tavakoli, Fengbo Ren
http://arxiv.org/abs/2011.09073v1
• [cs.CL]Argumentative Topology: Finding Loop(holes) in Logic
Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson
http://arxiv.org/abs/2011.08952v1
• [cs.CL]Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, Yu Su
http://arxiv.org/abs/2011.07743v2
• [cs.CL]Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer’s Disease
Mireia Farrús, Joan Codina-Filbà
http://arxiv.org/abs/2011.09272v1
• [cs.CL]Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
Shogo Fujita, Tomohide Shibata, Manabu Okumura
http://arxiv.org/abs/2011.09140v1
• [cs.CL]Do Fine-tuned Commonsense Language Models Really Generalize?
Mayank Kejriwal, Ke Shen
http://arxiv.org/abs/2011.09159v1
• [cs.CL]EasyTransfer — A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin
http://arxiv.org/abs/2011.09463v1
• [cs.CL]Exploring Neural Entity Representations for Semantic Information
Andrew Runge, Eduard Hovy
http://arxiv.org/abs/2011.08951v1
• [cs.CL]Gunrock 2.0: A User Adaptive Social Conversational System
Kaihui Liang, Austin Chau, Yu Li, Xueyuan Lu, Dian Yu, Mingyang Zhou, Ishan Jain, Sam Davidson, Josh Arnold, Minh Nguyen, Zhou Yu
http://arxiv.org/abs/2011.08906v1
• [cs.CL]Improving Document-Level Sentiment Analysis with User and Product Context
Chenyang Lyu, Jennifer Foster, Yvette Graham
http://arxiv.org/abs/2011.09210v1
• [cs.CL]Inspecting state of the art performance and NLP metrics in image-based medical report generation
Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe
http://arxiv.org/abs/2011.09257v1
• [cs.CL]KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
Hongru Wang, Min Li, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong
http://arxiv.org/abs/2011.08772v2
• [cs.CL]LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization
Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-chin Lin, Marco Moresi, Carel van Niekerk, Milica Gašić
http://arxiv.org/abs/2011.09378v1
• [cs.CL]Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models
Chaofan Tu, Ruibin Bai, Zheng Lu, Uwe Aickelin, Peiming Ge, Jianshuang Zhao
http://arxiv.org/abs/2011.09351v1
• [cs.CL]Master Thesis: Neural Sign Language Translation by Learning Tokenization
Alptekin Orbay
http://arxiv.org/abs/2011.09289v1
• [cs.CL]On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition
Manon Macary, Marie Tahon, Yannick Estève, Anthony Rousseau
http://arxiv.org/abs/2011.09212v1
• [cs.CL]Out-of-Task Training for Dialog State Tracking Models
Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gašić
http://arxiv.org/abs/2011.09379v1
• [cs.CL]Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification
Daniel Palomino, Jose Ochoa-Luna
http://arxiv.org/abs/2011.09448v1
• [cs.CL]Predictions For Pre-training Language Models
Tong Guo
http://arxiv.org/abs/2011.09031v1
• [cs.CL]Sequence-Level Mixed Sample Data Augmentation
Demi Guo, Yoon Kim, Alexander M. Rush
http://arxiv.org/abs/2011.09039v1
• [cs.CL]The Ubiqus English-Inuktitut System for WMT20
François Hernandez, Vincent Nguyen
http://arxiv.org/abs/2011.09249v1
• [cs.CL]Topology of Word Embeddings: Singularities Reflect Polysemy
Alexander Jakubowski, Milica Gašić, Marcus Zibrowius
http://arxiv.org/abs/2011.09413v1
• [cs.CL]Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
Ryan Brate, Paul Groth, Marieke van Erp
http://arxiv.org/abs/2011.08903v1
• [cs.CR]Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks
Gurcan Comert, Mashrur Chowdhury, David M. Nicol
http://arxiv.org/abs/2011.09436v1
• [cs.CR]Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe
http://arxiv.org/abs/2011.09350v1
• [cs.CR]Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
Ruixiang Tang, Mengnan Du, Xia Hu
http://arxiv.org/abs/2011.08960v1
• [cs.CR]On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch
Levente Csikor, Vipul Ujawane, Dinil Mon Divakaran
http://arxiv.org/abs/2011.09107v1
• [cs.CV]3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang
http://arxiv.org/abs/2011.09127v1
• [cs.CV]A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari
http://arxiv.org/abs/2011.08534v2
• [cs.CV]A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus
Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha
http://arxiv.org/abs/2011.09046v1
• [cs.CV]A Multi-class Approach — Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning
Preeti Jagdish Sajjan, Frank G. Glavin
http://arxiv.org/abs/2011.09236v1
• [cs.CV]A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits
Arda Mavi
http://arxiv.org/abs/2011.08927v1
• [cs.CV]ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching
He Dai, Xuchong Zhang, Yongli Zhao, Hongbin Sun
http://arxiv.org/abs/2011.09023v1
• [cs.CV]Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs
Arezoo Rajabi, Rakesh B. Bobba
http://arxiv.org/abs/2011.09123v1
• [cs.CV]Adversarial collision attacks on image hashing functions
Brian Dolhansky, Cristian Canton Ferrer
http://arxiv.org/abs/2011.09473v1
• [cs.CV]Analyzing and Mitigating Compression Defects in Deep Learning
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
http://arxiv.org/abs/2011.08932v1
• [cs.CV]Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang
http://arxiv.org/abs/2011.09369v1
• [cs.CV]AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
http://arxiv.org/abs/2011.09011v1
• [cs.CV]CGAP2: Context and gap aware predictive pose framework for early detection of gestures
Nishant Bhattacharya, Suresh Sundaram
http://arxiv.org/abs/2011.09216v1
• [cs.CV]Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks
Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich
http://arxiv.org/abs/2011.09280v1
• [cs.CV]Contrastive Registration for Unsupervised Medical Image Segmentation
Lihao Liu, Angelica I Aviles-Rivero, Carola-Bibiane Schönlieb
http://arxiv.org/abs/2011.08894v1
• [cs.CV]Convolutional Autoencoder for Blind Hyperspectral Image Unmixing
Yasiru Ranasinghe, Sanjaya Herath, Kavinga Weerasooriya, Mevan Ekanayake, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath
http://arxiv.org/abs/2011.09420v1
• [cs.CV]Deep Active Surface Models
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
http://arxiv.org/abs/2011.08826v2
• [cs.CV]Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi
http://arxiv.org/abs/2011.08916v1
• [cs.CV]Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun
http://arxiv.org/abs/2011.09080v1
• [cs.CV]DeepNAG: Deep Non-Adversarial Gesture Generation
Mehran Maghoumi, Eugene M. Taranta II, Joseph J. LaViola Jr
http://arxiv.org/abs/2011.09149v1
• [cs.CV]Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama
http://arxiv.org/abs/2011.09114v1
• [cs.CV]Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li
http://arxiv.org/abs/2011.09157v1
• [cs.CV]Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li, Yin Li, Kevin W. Eliceiri
http://arxiv.org/abs/2011.08939v1
• [cs.CV]End-to-End Object Detection with Adaptive Clustering Transformer
Minghang Zheng, Peng Gao, Xiaogang Wang, Hongsheng Li, Hao Dong
http://arxiv.org/abs/2011.09315v1
• [cs.CV]Explicitly Learning Topology for Differentiable Neural Architecture Search
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang
http://arxiv.org/abs/2011.09300v1
• [cs.CV]Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee
http://arxiv.org/abs/2011.09427v1
• [cs.CV]FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Jaemin Na, Heechul Jung, HyungJin Chang, Wonjun Hwang
http://arxiv.org/abs/2011.09230v1
• [cs.CV]Layer-Wise Data-Free CNN Compression
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
http://arxiv.org/abs/2011.09058v1
• [cs.CV]Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao
http://arxiv.org/abs/2011.09055v1
• [cs.CV]MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong
http://arxiv.org/abs/2011.09084v1
• [cs.CV]Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza
http://arxiv.org/abs/2011.09104v1
• [cs.CV]Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts
http://arxiv.org/abs/2011.08988v1
• [cs.CV]Multigrid-in-Channels Neural Network Architectures
Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister
http://arxiv.org/abs/2011.09128v1
• [cs.CV]Multimodal Prototypical Networks for Few-shot Learning
Frederik Pahde, Mihai Puscas, Tassilo Klein, Moin Nabi
http://arxiv.org/abs/2011.08899v1
• [cs.CV]Online Exemplar Fine-Tuning for Image-to-Image Translation
Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim
http://arxiv.org/abs/2011.09330v1
• [cs.CV]Positive-Congruent Training: Towards Regression-Free Model Updates
Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto
http://arxiv.org/abs/2011.09161v1
• [cs.CV]Privileged Knowledge Distillation for Online Action Detection
Peisen Zhao, Jiajie Wang, Lingxi Xie, Ya Zhang, Yanfeng Wang, Qi Tian
http://arxiv.org/abs/2011.09158v1
• [cs.CV]Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset
Anoop Krishnan, Ali Almadan, Ajita Rattani
http://arxiv.org/abs/2011.08898v1
• [cs.CV]RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
Yang Fang, Geun-Sik Jo, Chang-Hee Lee
http://arxiv.org/abs/2011.09153v1
• [cs.CV]Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting
Yanwu Ge, Mingliang Song
http://arxiv.org/abs/2011.09214v1
• [cs.CV]Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
Christoph B. Rist, David Emmerichs, Markus Enzweiler, Dariu M. Gavrila
http://arxiv.org/abs/2011.09141v1
• [cs.CV]Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang
http://arxiv.org/abs/2011.09066v1
• [cs.CV]TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Yanwei Pang, Jiale Cao, Yazhao Li, Jin Xie, Hanqing Sun, Jinfeng Gong
http://arxiv.org/abs/2011.09170v1
• [cs.CV]Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
Xinyi Xu, Zhangyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji
http://arxiv.org/abs/2011.08877v1
• [cs.CV]Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results
Jayant Gupta, Yiqun Xie, Shashi Shekhar
http://arxiv.org/abs/2011.08992v1
• [cs.CV]UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen
http://arxiv.org/abs/2011.09094v1
• [cs.CV]Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification
Aihua Zheng, Xia Sun, Chenglong Li, Jin Tang
http://arxiv.org/abs/2011.09099v1
• [cs.CV]Visual Forecasting of Time Series with Image-to-Image Regression
Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso
http://arxiv.org/abs/2011.09052v1
• [cs.CV]Whose hand is this? Person Identification from Egocentric Hand Gestures
Satoshi Tsutsui, Yanwei Fu, David Crandall
http://arxiv.org/abs/2011.08900v1
• [cs.CV]Your “Labrador” is My “Dog”: Fine-Grained, or Not
Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo
http://arxiv.org/abs/2011.09040v1
• [cs.DB]FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui
http://arxiv.org/abs/2011.09022v1
• [cs.DB]First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries
Pablo Barcelo, Gerald Berger, Carsten Lutz, Andreas Pieris
http://arxiv.org/abs/2011.09314v1
• [cs.DB]Query Expressibility and Verification in Ontology-Based Data Access
Carsten Lutz, Johannes Marti, Leif Sabellek
http://arxiv.org/abs/2011.09176v1
• [cs.DC]A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
http://arxiv.org/abs/2011.09017v1
• [cs.DC]Ginkgo — A Math Library designed for Platform Portability
Terry Cojean, Yu-Hsiang “Mike” Tsai, Hartwig Anzt
http://arxiv.org/abs/2011.08879v1
• [cs.DC]High-Throughput and Memory-Efficient Parallel Viterbi Decoder for Convolutional Codes on GPU
Alireza Mohammadidoost, Matin Hashemi
http://arxiv.org/abs/2011.09337v1
• [cs.DC]Uniform Bipartition in the Population Protocol Model with Arbitrary Communication Graphs
Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue, Sébastien Tixeuil
http://arxiv.org/abs/2011.08366v2
• [cs.DC]Whale: A Unified Distributed Training Framework
Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin
http://arxiv.org/abs/2011.09208v1
• [cs.DS]Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS
Bohdan Kivva, Aaron Potechin
http://arxiv.org/abs/2011.09416v1
• [cs.DS]Online Paging with a Vanishing Regret
Yuval Emek, Shay Kutten, Yangguang Shi
http://arxiv.org/abs/2011.09439v1
• [cs.ET]Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations
M. Ali Vosoughi
http://arxiv.org/abs/2011.09067v1
• [cs.IT]A Novel RIS-Assisted Modulation Scheme
Liang Yang, Fanxu Meng, Mazen O. Hasna, Ertugrul Basar
http://arxiv.org/abs/2011.09019v1
• [cs.IT]Designing Cost- and Energy-Efficient Cell-Free Massive MIMO Network with Fiber and FSO Fronthaul Links
Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand
http://arxiv.org/abs/2011.08511v2
• [cs.IT]On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems
Sai Li, Liang Yang, Daniel Benevides da Costa, Marco Di Renzo, Mohamed-Slim Alouini
http://arxiv.org/abs/2011.09060v1
• [cs.IT]Performance Analysis of Dual-Hop Mixed PLC/RF Communication Systems
Liang Yang, Xiaoqin Yan, Sai Li, Daniel Benevides da Costa, Mohamed-Slim Alouini
http://arxiv.org/abs/2011.09051v1
• [cs.IT]Performance Analysis of UAV-based Mixed RF-UWOC Transmission Systems
Sai Li, Liang Yang, Daniel Benevides da Costa
http://arxiv.org/abs/2011.09062v1
• [cs.IT]Quantum Broadcast Channels with Cooperating Decoders: An Information-Theoretic Perspective on Quantum Repeaters
Uzi Pereg, Christian Deppe, Holger Boche
http://arxiv.org/abs/2011.09233v1
• [cs.IT]Semi-blind Channel Estimation and Data Detection for Multi-cell Massive MIMO Systems on Time-Varying Channels
Mort Naraghi-Pour, Mohammed Rashid, Cesar Vargas-Rosales
http://arxiv.org/abs/2011.09010v1
• [cs.IT]Study of Opportunistic Relaying and Jamming Based on Secrecy-Rate Maximization for Buffer-Aided Relay Systems
X. Lu, R. C. de Lamare
http://arxiv.org/abs/2011.09047v1
• [cs.IT]Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
Hieu Tran-Dinh, Sumit Gautam, Symeon Chatzinotas, Bjorn Ottersten
http://arxiv.org/abs/2011.07955v2
• [cs.LG]A Discussion on Practical Considerations with Sparse Regression Methodologies
Owais Sarwar, Benjamin Sauk, Nikolaos V. Sahinidis
http://arxiv.org/abs/2011.09362v1
• [cs.LG]A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
Zina M Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T Teo, Richard JB Dobson
http://arxiv.org/abs/2011.09361v1
• [cs.LG]A User’s Guide to Calibrating Robotics Simulators
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos
http://arxiv.org/abs/2011.08985v1
• [cs.LG]A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Javier Fernandez, Luke Bornn, Daniel Cervone
http://arxiv.org/abs/2011.09426v1
• [cs.LG]C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
http://arxiv.org/abs/2011.08909v1
• [cs.LG]Contrastive Weight Regularization for Large Minibatch SGD
Qiwei Yuan, Weizhe Hua, Yi Zhou, Cunxi Yu
http://arxiv.org/abs/2011.08968v1
• [cs.LG]Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos
http://arxiv.org/abs/2011.09464v1
• [cs.LG]Distributed Online Learning with Multiple Kernels
Jeongmin Chae, Songnam Hong
http://arxiv.org/abs/2011.08930v1
• [cs.LG]Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
http://arxiv.org/abs/2011.09113v1
• [cs.LG]Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
Aastha Acharya, Rebecca Russell, Nisar R. Ahmed
http://arxiv.org/abs/2011.09004v1
• [cs.LG]FLaaS: Federated Learning as a Service
Nicolas Kourtellis, Kleomenis Katevas, Diego Perino
http://arxiv.org/abs/2011.09359v1
• [cs.LG]FROST: Faster and more Robust One-shot Semi-supervised Training
Helena E. Liu, Leslie N. Smith
http://arxiv.org/abs/2011.09471v1
• [cs.LG]Generating universal language adversarial examples by understanding and enhancing the transferability across neural models
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-wei Chang, Xuanjing Huang
http://arxiv.org/abs/2011.08558v2
• [cs.LG]Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup, Guillaume Lajoie
http://arxiv.org/abs/2011.09468v1
• [cs.LG]Introduction to Core-sets: an Updated Survey
Dan Feldman
http://arxiv.org/abs/2011.09384v1
• [cs.LG]Inverse Reinforcement Learning via Matching of Optimality Profiles
Luis Haug, Ivan Ovinnikon, Eugene Bykovets
http://arxiv.org/abs/2011.09264v1
• [cs.LG]Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
Tom Bannink, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen
http://arxiv.org/abs/2011.09398v1
• [cs.LG]Learning Interpretable Flight’s 4D Landing Parameters Using Tunnel Gaussian Process
Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim, Sameer Alam
http://arxiv.org/abs/2011.09335v1
• [cs.LG]Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang
http://arxiv.org/abs/2011.08954v1
• [cs.LG]SIENA: Stochastic Multi-Expert Neural Patcher
Thai Le, Noseong Park, Dongwon Lee
http://arxiv.org/abs/2011.08908v1
• [cs.LG]Self-Gradient Networks
Hossein Aboutalebi, Mohammad Javad Shafiee Alexander Wong
http://arxiv.org/abs/2011.09364v1
• [cs.LG]Statistical model-based evaluation of neural networks
Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee
http://arxiv.org/abs/2011.09015v1
• [cs.LG]TreeGen — a Monte Carlo generator for data frames
Agnieszka Niemczynowicz, Gabriela Białoskórska, Joanna Nieżurawska-Zając, Radosław A. Kycia
http://arxiv.org/abs/2011.08922v1
• [cs.LG]Weighted Entropy Modification for Soft Actor-Critic
Yizhou Zhao, Song-Chun Zhu
http://arxiv.org/abs/2011.09083v1
• [cs.LG]ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks
Varun Ranganathan, Alex Lewandowski
http://arxiv.org/abs/2011.08895v1
• [cs.NE]Adversarial Turing Patterns from Cellular Automata
Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan Oseledets
http://arxiv.org/abs/2011.09393v1
• [cs.NE]Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks
Alireza Nadafian, Mohammad Ganjtabesh
http://arxiv.org/abs/2011.09380v1
• [cs.PL]Learning functional programs with function invention and reuse
Andrei Diaconu
http://arxiv.org/abs/2011.08881v1
• [cs.RO]An analytical diabolo model for robotic learning and control
Felix von Drigalski, Devwrat Joshi, Takayuki Murooka, Kazutoshi Tanaka, Masashi Hamaya, Yoshihisa Ijiri
http://arxiv.org/abs/2011.09068v1
• [cs.RO]Barycode-based GJK Algorithm
Yu Zhang, Yangming Wu, Xigui Wang, Xiaocheng Zhou
http://arxiv.org/abs/2011.09117v1
• [cs.RO]Cautious Bayesian Optimization for Efficient and Scalable Policy Search
Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske
http://arxiv.org/abs/2011.09445v1
• [cs.RO]Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge
D. Bonilla Licea, M. Bonilla, M. Ghogho, S. Lasaulce, V. S. Varma
http://arxiv.org/abs/2011.09206v1
• [cs.RO]Diverse Plausible S
58d2
hape Completions from Ambiguous Depth Images
Brad Saund, Dmitry Berenson
http://arxiv.org/abs/2011.09390v1
• [cs.RO]Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments
Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
http://arxiv.org/abs/2011.09045v1
• [cs.RO]EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation
Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV, Aniket Bera
http://arxiv.org/abs/2011.09438v1
• [cs.RO]Experimental Study on Reinforcement Learning-based Control of an Acrobot
Leo Dostal, Alexej Bespalko, Daniel A. Duecker
http://arxiv.org/abs/2011.09246v1
• [cs.RO]Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband
Enrico Sutera, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge
http://arxiv.org/abs/2011.09241v1
• [cs.RO]Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms
Shahriar Sharifi Borojerdi, Mehdi Karimi, Ehsan Amiri
http://arxiv.org/abs/2011.09455v1
• [cs.RO]Learning control for transmission and navigation with a mobile robot under unknown communication rates
L. Busoniu, V. S. Varma, J. Loheac, A. Codrean, O. Stefan, I. -C. Morarescu, S. Lasaulce
http://arxiv.org/abs/2011.09193v1
• [cs.RO]More Informed Random Sample Consensus
Guoxiang Zhang, YangQuan Chen
http://arxiv.org/abs/2011.09116v1
• [cs.RO]Near-Optimal Multi-Robot Motion Planning with Finite Sampling
Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin
http://arxiv.org/abs/2011.08944v1
• [cs.RO]Prognostic and Health Management (PHM) tool for Robot Operating System (ROS)
Hakan Gencturk, Elcin Erdogan, Mustafa Karaca, Ugur Yayan
http://arxiv.org/abs/2011.09222v1
• [cs.RO]Reactive Human-to-Robot Handovers of Arbitrary Objects
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
http://arxiv.org/abs/2011.08961v1
• [cs.RO]Robot Task Planning for Low Entropy Belief States
Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar, Odest Chadwicke Jenkins
http://arxiv.org/abs/2011.09105v1
• [cs.RO]Tracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing
Sana Talmoudi, Tetsuya Kanada, Yasuhisa Hirata
http://arxiv.org/abs/2011.09086v1
• [cs.RO]Vision-Based Shape Reconstruction of Soft Continuum Arms Using a Geometric Strain Parametrization
Ali AlBeladi, Girish Krishnan, Mohamed-Ali Belabbas, Seth Hutchinson
http://arxiv.org/abs/2011.09106v1
• [cs.SI]A First Look at COVID-19 Messages on WhatsAppin Pakistan
R. Tallal Javed, Mirza Elaaf Shuja, Muhammad Usama, Junaid Qadir, Waleed Iqbal, Gareth Tyson, Ignacio Castro, Kiran Garimella
http://arxiv.org/abs/2011.09145v1
• [cs.SI]Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
Jiajing Wu, Jieli Liu, Yijing Zhao, Zibin Zheng
http://arxiv.org/abs/2011.09318v1
• [cs.SI]Connected-Dense-Connected Subgraphs in Triple Networks
Dhara Shah, Yubao Wu, Sushil Prasad, Danial Aghajarian
http://arxiv.org/abs/2011.09408v1
• [cs.SI]Link prediction in multiplex networks via triadic closure
Alberto Aleta, Marta Tuninetti, Daniela Paolotti, Yamir Moreno, Michele Starnini
http://arxiv.org/abs/2011.09126v1
• [cs.SI]On Influencing the Influential: Disparity Seeding
Arwen Teng, Ting-Wei Li, Yu-chi Liao, Hsi-Wen Chen, Yvonne-Anne Pignolet, De-Nian Yang, Lydia Y. Chen
http://arxiv.org/abs/2011.08946v1
• [econ.EM]A Two-Way Transformed Factor Model for Matrix-Variate Time Series
Zhaoxing Gao, Ruey S. Tsay
http://arxiv.org/abs/2011.09029v1
• [econ.TH]Allocating marketing resources over social networks: A long-term analysis
Vineeth S. Varma, Samson Lasaulce, Julien Mounthanyvong, Irinel-Constantin Morarescu
http://arxiv.org/abs/2011.09268v1
• [eess.AS]Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding
Bhuvan Agrawal, Markus Müller, Martin Radfar, Samridhi Choudhary, Athanasios Mouchtaris, Siegfried Kunzmann
http://arxiv.org/abs/2011.09044v1
• [eess.IV]CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
Di Ma, Fan Zhang, David R. Bull
http://arxiv.org/abs/2011.09190v1
• [eess.IV]Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
Fahdi Kanavati, Shin Ichihara, Michael Rambeau, Osamu Iizuka, Koji Arihiro, Masayuki Tsuneki
http://arxiv.org/abs/2011.09247v1
• [eess.IV]HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images
Rachel Lea Draelos, Lawrence Carin
http://arxiv.org/abs/2011.08891v1
• [eess.IV]Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Greg S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel
http://arxiv.org/abs/2011.08965v1
• [eess.IV]Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR
Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya
http://arxiv.org/abs/2011.09414v1
• [eess.IV]SoftSeg: Advantages of soft versus binary training for image segmentation
Charley Gros, Andreanne Lemay, Julien Cohen-Adad
http://arxiv.org/abs/2011.09041v1
• [eess.IV]Towards online monitoring and data-driven control: a study of segmentation algorithms for infrared images of the powder bed
Alexander Nettekoven, Scott Fish, Joseph Beaman, Ufuk Topcu
http://arxiv.org/abs/2011.09065v1
• [eess.SP]Adaptive Contention Window Design using Deep Q-learning
Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
http://arxiv.org/abs/2011.09418v1
• [eess.SP]Distributed Scheduling using Graph Neural Networks
Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra
http://arxiv.org/abs/2011.09430v1
• [eess.SP]Noise-Resilient Automatic Interpretation of Holter ECG Recordings
Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin
http://arxiv.org/abs/2011.09303v1
• [eess.SP]Reconfigurable Intelligent Surface Assisted Cooperative Non-orthogonal Multiple Access Systems
Jiakuo Zuo, Yuanwei Liu, Naofal Al-Dhahir
http://arxiv.org/abs/2011.08975v1
• [math.AG]Maximum Likelihood Estimation for Nets of Conics
Stefan Dye, Kathlén Kohn, Felix Rydell, Rainer Sinn
http://arxiv.org/abs/2011.08989v1
• [math.FA]Neural network approximation and estimation of classifiers with classification boundary in a Barron class
Andrei Caragea, Philipp Petersen, Felix Voigtlaender
http://arxiv.org/abs/2011.09363v1
• [math.NT]Machine-Learning Number Fields
Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
http://arxiv.org/abs/2011.08958v1
• [math.OC]On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
Ingvar Ziemann, Henrik Sandberg
http://arxiv.org/abs/2011.09288v1
• [math.PR]Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition
Zaid Harchaoui, Lang Liu, Soumik Pal
http://arxiv.org/abs/2011.08963v1
• [math.ST]A Compounded Probability Model for Decreasing Hazard and its Inferential Properties
Brijesh P. Singh, Utpal Dhar Das, Sandeep Singh
http://arxiv.org/abs/2011.09211v1
• [math.ST]Matrix compatibility and correlation representation of Gini’s gamma
Takaaki Koike, Marius Hofert
http://arxiv.org/abs/2011.09053v1
• [math.ST]Post-Selection Inference via Algorithmic Stability
Tijana Zrnic, Michael I. Jordan
http://arxiv.org/abs/2011.09462v1
• [physics.ao-ph]Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches
Xinyu Dou, Cuijuan Liao, Hengqi Wang, Ying Huang, Ying Tu, Xiaomeng Huang, Yiran Peng, Biqing Zhu, Jianguang Tan, Zhu Deng, Nana Wu, Taochun Sun, Piyu Ke, Zhu Liu
http://arxiv.org/abs/2011.09013v1
• [physics.flu-dyn]Bayesian mass averaging
Pranay Seshadri, Andrew Duncan, George Thorne
http://arxiv.org/abs/2011.09240v1
• [physics.geo-ph]Data-driven Accelerogram Synthesis using Deep Generative Models
Manuel A. Florez, Michaelangelo Caporale, Pakpoom Buabthong, Zachary E. Ross, Domniki Asimaki, Men-Andrin Meier
http://arxiv.org/abs/2011.09038v1
• [physics.med-ph]Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data
Kelly Geyer, Frederick Campbell, Andersen Chang, John Magnotti, Michael Beauchamp, Genevera I. Allen
http://arxiv.org/abs/2011.09447v1
• [physics.med-ph]Voxelwise principal component analysis of dynamic [S-methyl-11C]methionine PET data in glioma patients**
Corentin Martens, Olivier Debeir, Christine Decaestecker, Thierry Metens, Laetitia Lebrun, Gil Leurquin-Sterk, Nicola Trotta, Serge Goldman, Gaetan Van Simaeys
http://arxiv.org/abs/2011.09325v1
• [stat.AP]Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters
Gurcan Comert, Negash Begashaw
http://arxiv.org/abs/2011.09370v1
• [stat.AP]Improved Grey System Models for Predicting Traffic Parameters
Gurcan Comert, Negash Begashaw, Nathan Huynh
http://arxiv.org/abs/2011.09469v1
• [stat.AP]Learning drivers of climate-induced human migrations with Gaussian processes
Jose M. Tarraga, Maria Piles, Gustau Camps-Valls
http://arxiv.org/abs/2011.08901v1
• [stat.AP]Queue Length Estimation at Traffic Signals: Connected Vehicles with Range Measurement Sensors
Gurcan Comert, Mecit Cetin
http://arxiv.org/abs/2011.09397v1
• [stat.AP]Skewed Distributions or Transformations? Modelling Skewness for a Cluster Analysis
Michael P. B. Gallaugher, Paul D. McNicholas, Volodymyr Melnykov, Xuwen Zhu
http://arxiv.org/abs/2011.09152v1
• [stat.AP]The Development and Deployment of a Model for Hospital-level COVID-19 Associated Patient Demand Intervals from Consistent Estimators (DICE)
Linying Yang, Teng Zhang, Peter Glynn, David Scheinker
http://arxiv.org/abs/2011.09377v1
• [stat.ME]A kernel test for quasi-independence
Tamara Fernández, Wenkai Xu, Marc Ditzhaus, Arthur Gretton
http://arxiv.org/abs/2011.08991v1
• [stat.ME]Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring
Haoxuan Wu, David S. Matteson
http://arxiv.org/abs/2011.09437v1
• [stat.ME]An application of Zero-One Inflated Beta regression models for predicting health insurance reimbursement
Fabio Baione, Davide Biancalana, Paolo De Angelis
http://arxiv.org/abs/2011.09248v1
• [stat.ME]Assessing contribution of treatment phases through tipping point analyses using rank preserving structural failure time models
Sudipta Bhattacharya, Jyotirmoy Dey
http://arxiv.org/abs/2011.09070v1
• [stat.ME]Canonical Regression Quantiles with application to CEO compensation and predicting company performance
Stephen Portnoy, Joseph Haimberg
http://arxiv.org/abs/2011.08896v1
• [stat.ME]Estimating Seroprevalence of SARS-CoV-2 Coronavirus in Ohio: A Bayesian Multilevel Regression and Poststratification Approach with Multiple Imperfect Diagnostic Tests
David Kline, Zehang Li, Yue Chu, Jon Wakefield, Samuel J Clark
http://arxiv.org/abs/2011.09033v1
• [stat.ML]Benign Overfitting in Binary Classification of Gaussian Mixtures
Ke Wang, Christos Thrampoulidis
http://arxiv.org/abs/2011.09148v1
• [stat.ML]Bias-Variance Trade-off and Overlearning in Dynamic Decision Problems
A. Max Reppen, H. Mete Soner
http://arxiv.org/abs/2011.09349v1
• [stat.ML]Detecting Hierarchical Changes in Latent Variable Models
Shintaro Fukushima, Kenji Yamanishi
http://arxiv.org/abs/2011.09465v1
• [stat.ML]On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama
http://arxiv.org/abs/2011.09172v1
• [stat.ML]Plug-And-Play Learned Gaussian-mixture Approximate Message Passing
Osman Musa, Peter Jung, Giuseppe Caire
http://arxiv.org/abs/2011.09388v1
• [stat.ML]Understanding Variational Inference in Function-Space
David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk
http://arxiv.org/abs/2011.09421v1
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