cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CC - 计算复杂度 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.med-ph - 医学物理学 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 q-fin.PM - 投资组合管理 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

    • [cs.AI]Sim-To-Real Transfer for Miniature Autonomous Car Racing
    • [cs.AI]Robust Reinforcement Learning for General Video Game Playing
    • [cs.AI]TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction
    • [cs.AI]VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
    • [cs.AR]Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
    • [cs.CC]Efficient List-Decoding with Constant Alphabet and List Sizes
    • [cs.CE]An application of an Embedded Model Estimator to a synthetic non-stationary reservoir model with multiple secondary variables
    • [cs.CL]An Investigation of Potential Function Designs for Neural CRF
    • [cs.CL]Artificial sound change: Language change and deep convolutional neural networks in iterative learning
    • [cs.CL]Assessment of text coherence based on the cohesion estimation
    • [cs.CL]Audrey: A Personalized Open-Domain Conversational Bot
    • [cs.CL]CalibreNet: Calibration Networks for Multilingual Sequence Labeling
    • [cs.CL]Don’t Read Too Much into It: Adaptive Computation for Open-Domain Question Answering
    • [cs.CL]E-commerce Query-based Generation based on User Review
    • [cs.CL]E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks
    • [cs.CL]From Unsupervised Machine Translation To Adversarial Text Generation
    • [cs.CL]Generating Fact Checking Briefs
    • [cs.CL]IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
    • [cs.CL]Morphological Disambiguation from Stemming Data
    • [cs.CL]Multilingual AMR-to-Text Generation
    • [cs.CL]Multilingual Irony Detection with Dependency Syntax and Neural Models
    • [cs.CL]NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets
    • [cs.CL]OCR Post Correction for Endangered Language Texts
    • [cs.CL]Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing
    • [cs.CL]Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
    • [cs.CL]Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
    • [cs.CL]Rule-Based Approach for Party-Based SentimentAnalysis in Legal Opinion Texts
    • [cs.CL]Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
    • [cs.CL]Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
    • [cs.CL]The Impact of Text Presentation on Translator Performance
    • [cs.CR]A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
    • [cs.CR]Compressive Sensing based Multi-class Privacy-preserving Cloud Computing
    • [cs.CR]Privacy Preservation in Federated Learning: Insights from the GDPR Perspective
    • [cs.CR]Proof of Authenticity of Logistics Information with Passive RFID Tags and Blockchain
    • [cs.CR]Security in biometric systems
    • [cs.CR]ShadowNet: A Secure and Efficient System for On-device Model Inference
    • [cs.CV]A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications
    • [cs.CV]A Hybrid Approach for 6DoF Pose Estimation
    • [cs.CV]A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
    • [cs.CV]Age Gap Reducer-GAN for Recognizing Age-Separated Faces
    • [cs.CV]Automatic Open-World Reliability Assessment
    • [cs.CV]Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps
    • [cs.CV]Debugging Tests for Model Explanations
    • [cs.CV]DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
    • [cs.CV]DeepSim: Semantic similarity metrics for learned image registration
    • [cs.CV]Dynamic Plane Convolutional Occupancy Networks
    • [cs.CV]End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks
    • [cs.CV]FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
    • [cs.CV]Finding Relevant Flood Images on Twitter using Content-based Filters
    • [cs.CV]ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery
    • [cs.CV]GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts
    • [cs.CV]Intentonomy: a Dataset and Study towards Human Intent Understanding
    • [cs.CV]Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
    • [cs.CV]Learned Equivariant Rendering without Transformation Supervision
    • [cs.CV]Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
    • [cs.CV]LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm
    • [cs.CV]Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising
    • [cs.CV]Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition
    • [cs.CV]Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspa
    • [cs.CV]Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
    • [cs.CV]Self-supervised Segmentation via Background Inpainting
    • [cs.CV]Semi-supervised Sparse Representation with Graph Regularization for Image Classification
    • [cs.CV]Skeleton-based Relational Reasoning for Group Activity Analysis
    • [cs.CV]Survey on 3D face reconstruction from uncalibrated images
    • [cs.CV]Transferred Fusion Learning using Skipped Networks
    • [cs.CV]Using GANs to Synthesise Minimum Training Data for Deepfake Generation
    • [cs.CV]Where to drive: free space detection with one fisheye camera
    • [cs.CV]Zero-Pair Image to Image Translation using Domain Conditional Normalization
    • [cs.CY]Personalization of learning using adaptive technologies and augmented reality
    • [cs.DC]A Distributed Algorithm for Overlapped Community Detection in Large-Scale Networks
    • [cs.DC]Coherence Traffic in Manycore Processors with Opaque Distributed Directories
    • [cs.DC]DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
    • [cs.DC]I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing
    • [cs.DC]Mapping Stencils on Coarse-grained Reconfigurable Spatial Architecture
    • [cs.DC]PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment
    • [cs.DC]Synchronous Concurrent Broadcasts for Intermittent Channels with Bounded Capacities
    • [cs.DS]Adaptive Community Search in Dynamic Networks
    • [cs.DS]List Decoding of Direct Sum Codes
    • [cs.DS]Unique Decoding of Explicit $ε$-balanced Codes Near the Gilbert-Varshamov Bound
    • [cs.FL]Inferring Symbolic Automata
    • [cs.GR]Slice and Dice: A Physicalization Workflow for Anatomical Edutainment
    • [cs.IR]A Novel Privacy-Preserved Recommender System Framework based on Federated Learning
    • [cs.IR]CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
    • [cs.IR]J-Recs: Principled and Scalable Recommendation Justification
    • [cs.IR]Learning User Representations with Hypercuboids for Recommender Systems
    • [cs.IT]Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode
    • [cs.IT]Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT
    • [cs.IT]Error-correcting Codes for Short Tandem Duplication and Substitution Errors
    • [cs.IT]Interference Impact on Decode-and-Forward Relay Networks with RIS-Assisted Source and Relays
    • [cs.IT]Optimized Power Control for Over-the-Air Federated Edge Learning
    • [cs.IT]Optimizing the Age-of-Information for Mobile Users in Adversarial and Stochastic Environments
    • [cs.IT]Performance Analysis of RIS-Assisted Source Mixed RF/FSO Relay Networks
    • [cs.IT]Sparse and Balanced MDS Codes over Small Fields
    • [cs.IT]Transmission of a Bit over a Discrete Poisson Channel with Memory
    • [cs.LG]A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis
    • [cs.LG]A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures
    • [cs.LG]A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus
    • [cs.LG]Accounting for Human Learning when Inferring Human Preferences
    • [cs.LG]Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data
    • [cs.LG]Behaviorally Diverse Traffic Simulation via Reinforcement Learning
    • [cs.LG]Deja vu from the SVM Era: Example-based Explanations with Outlier Detection
    • [cs.LG]Differentially Private Synthetic Data: Applied Evaluations and Enhancements
    • [cs.LG]Discrete solution pools and noise-contrastive estimation for predict-and-optimize
    • [cs.LG]Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation
    • [cs.LG]Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
    • [cs.LG]EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events
    • [cs.LG]Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
    • [cs.LG]Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy
    • [cs.LG]End-To-End Semi-supervised Learning for Differentiable Particle Filters
    • [cs.LG]Energy consumption forecasting using a stacked nonparametric Bayesian approach
    • [cs.LG]EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
    • [cs.LG]FAT: Training Neural Networks for Reliable Inference Under Hardware Faults
    • [cs.LG]Filtered Manifold Alignment
    • [cs.LG]Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL
    • [cs.LG]Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach
    • [cs.LG]Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
    • [cs.LG]Learning ODE Models with Qualitative Structure Using Gaussian Processes
    • [cs.LG]Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
    • [cs.LG]Matrix Completion with Noise via Leveraged Sampling
    • [cs.LG]Multi-Label Classification Using Link Prediction
    • [cs.LG]Neural Network Compression Via Sparse Optimization
    • [cs.LG]On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
    • [cs.LG]Perturbation-based exploration methods in deep reinforcement learning
    • [cs.LG]Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning
    • [cs.LG]Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
    • [cs.LG]Proximal Policy Optimization via Enhanced Exploration Efficiency
    • [cs.LG]Real-Time Decentralized knowledge Transfer at the Edge
    • [cs.LG]Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
    • [cs.LG]Regularization of Persistent Homology Gradient Computation
    • [cs.LG]SALR: Sharpness-aware Learning Rates for Improved Generalization
    • [cs.LG]Semi-Structured Deep Piecewise Exponential Models
    • [cs.LG]Teaching deep learning causal effects improves predictive performance
    • [cs.LG]Transformers for One-Shot Visual Imitation
    • [cs.LG]Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
    • [cs.NE]A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications
    • [cs.NE]A Survey and Implementation of Performance Metrics for Self-Organized Maps
    • [cs.NE]Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems
    • [cs.NE]Identifying Properties of Real-World Optimisation Problems through a Questionnaire
    • [cs.RO]Accelerating Grasp Exploration by Leveraging Learned Priors
    • [cs.RO]Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
    • [cs.RO]Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography
    • [cs.RO]Docking two multirotors in midair using relative vision measurements
    • [cs.RO]Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
    • [cs.RO]FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection
    • [cs.RO]Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
    • [cs.RO]LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*
    • [cs.RO]Learning Agile Locomotion Skills with a Mentor
    • [cs.RO]Learning Bayes Filter Models for Tactile Localization
    • [cs.RO]Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning
    • [cs.RO]Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots
    • [cs.RO]Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
    • [cs.RO]Reinforcement Learning with Time-dependent Goals for Robotic Musicians
    • [cs.RO]SPRITE: Stewart Platform Robot for Interactive Tabletop Engagement
    • [cs.RO]Self-supervised Learning of LiDAR Odometry for Robotic Applications
    • [cs.RO]Simulating Autonomous Driving in Massive Mixed Urban Traffic
    • [cs.RO]Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
    • [cs.RO]StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
    • [cs.RO]Zero-Shot Terrain Generalization for Visual Locomotion Policies
    • [cs.SD]Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning
    • [cs.SD]WaDeNet: Wavelet Decomposition based CNN for Speech Processing
    • [cs.SI]A New Model of Flaming Phenomena in Online Social Networks that Considers Resonance Driven by External Stimuli
    • [cs.SI]A model for the Twitter sentiment curve
    • [cs.SI]Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media
    • [cs.SI]Characterising and Detecting Sponsored Influencer Posts on Instagram
    • [cs.SI]Closed-Form Solutions of the Fundamental Equation That Describes User Dynamics in Online Social Networks
    • [cs.SI]Detecting Social Media Manipulation in Low-Resource Languages
    • [cs.SI]Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion
    • [cs.SI]Linking OpenStreetMap with Knowledge Graphs — Link Discovery for Schema-Agnostic Volunteered Geographic Information
    • [cs.SI]Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking
    • [cs.SI]Small Survey Event Detection
    • [cs.SI]The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
    • [cs.SI]Toward Edge-Centric Network Embeddings
    • [cs.SI]UTLDR: an agent-based framework for modeling infectious diseases and public interventions
    • [econ.GN]Disentangling Community-level Changes in Crime Trends During the COVID-19 Pandemic in Chicago
    • [eess.AS]Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients
    • [eess.AS]On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments
    • [eess.IV]An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images
    • [eess.IV]Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines
    • [eess.IV]Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success
    • [eess.IV]Distorted image restoration using stacked adversarial network
    • [eess.IV]Glioma Classification Using Multimodal Radiology and Histology Data
    • [eess.IV]Skin disease diagnosis with deep learning: a review
    • [eess.SP]Bayesian model of electrical heating disaggregation
    • [eess.SP]Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications
    • [eess.SP]Gaussian Compression Stream: Principle and Preliminary Results
    • [eess.SY]Improvement of plant performance using Closed loop Reference Model Simple Adaptive Control for Micro Air Vehicle
    • [eess.SY]Model-Dependent Prosthesis Control with Interaction Force Estimation
    • [math.OC]Using parameter elimination to solve discrete linear Chebyshev approximation problems
    • [math.ST]On a general definition of the functional linear model
    • [math.ST]On the consistency of a random forest algorithm in the presence of missing entries
    • [physics.data-an]Mode hunting through active information
    • [physics.med-ph]Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
    • [physics.soc-ph]Characterizing the head of the degree distributions of growing networks
    • [q-bio.NC]Adversarial images for the primate brain
    • [q-bio.QM]A deep-learning classifier for cardiac arrhythmias
    • [q-bio.QM]Cryo-RALib — a modular library for accelerating alignment in cryo-EM
    • [q-fin.PM]Dirichlet policies for reinforced factor portfolios
    • [quant-ph]Fast semidefinite programming with feedforward neural networks
    • [quant-ph]On contraction coefficients, partial orders and approximation of capacities for quantum channels
    • [stat.AP]A Bayesian Nonparametric model for textural pattern heterogeneity
    • [stat.AP]A General Class of New Continuous Mixture Distribution and Application
    • [stat.ME]A trial emulation approach for policy evaluations with group-level longitudinal data
    • [stat.ME]It’s All Relative: New Regression Paradigm for Microbiome Compositional Data
    • [stat.ME]Learning a high-dimensional classification rule using auxiliary outcomes
    • [stat.ME]Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margin
    • [stat.ME]Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
    • [stat.ML]$(f,Γ)$-Divergences: Interpolating between $f$-Divergences and Integral Probability Metrics
    • [stat.ML]A Nonconvex Framework for Structured Dynamic Covariance Recovery
    • [stat.ML]A decision-making tool to fine-tune abnormal levels in the complete blood count tests
    • [stat.ML]Asymptotically Optimal Information-Directed Sampling
    • [stat.ML]Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
    • [stat.ML]Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference

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

    • [
    14b0
    cs.AI]Sim-To-Real Transfer for Miniature Autonomous Car Racing
    Yeong-Jia Roger Chu, Ting-Han Wei, Jin-Bo Huang, Yuan-Hao Chen, I-Chen Wu
    http://arxiv.org/abs/2011.05617v1

    • [cs.AI]Robust Reinforcement Learning for General Video Game Playing
    Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
    http://arxiv.org/abs/2011.05622v1

    • [cs.AI]TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction
    Hao Xue, Flora D Salim
    http://arxiv.org/abs/2011.05554v1

    • [cs.AI]VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
    Stefanos Antaris, Dimitrios Rafailidis
    http://arxiv.org/abs/2011.05671v1

    • [cs.AR]Understanding Training Efficiency of Deep Learning Recommendation Models at Scale
    Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim Hazelwood
    http://arxiv.org/abs/2011.05497v1

    • [cs.CC]Efficient List-Decoding with Constant Alphabet and List Sizes
    Zeyu Guo, Noga Ron-Zewi
    http://arxiv.org/abs/2011.05884v1

    • [cs.CE]An application of an Embedded Model Estimator to a synthetic non-stationary reservoir model with multiple secondary variables
    Colin Daly
    http://arxiv.org/abs/2011.05561v1

    • [cs.CL]An Investigation of Potential Function Designs for Neural CRF
    Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
    http://arxiv.org/abs/2011.05604v1

    • [cs.CL]Artificial sound change: Language change and deep convolutional neural networks in iterative learning
    Gašper Beguš
    http://arxiv.org/abs/2011.05463v1

    • [cs.CL]Assessment of text coherence based on the cohesion estimation
    S. D. Pogorilyy, A. A. Kramov
    http://arxiv.org/abs/2011.05788v1

    • [cs.CL]Audrey: A Personalized Open-Domain Conversational Bot
    Chung Hoon Hong, Yuan Liang, Sagnik Sinha Roy, Arushi Jain, Vihang Agarwal, Ryan Draves, Zhizhuo Zhou, William Chen, Yujian Liu, Martha Miracky, Lily Ge, Nikola Banovic, David Jurgens
    http://arxiv.org/abs/2011.05910v1

    • [cs.CL]CalibreNet: Calibration Networks for Multilingual Sequence Labeling
    Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang
    http://arxiv.org/abs/2011.05723v1

    • [cs.CL]Don’t Read Too Much into It: Adaptive Computation for Open-Domain Question Answering
    Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
    http://arxiv.org/abs/2011.05435v1

    • [cs.CL]E-commerce Query-based Generation based on User Review
    Yiren Liu, Kuan-Ying Lee
    http://arxiv.org/abs/2011.05546v1

    • [cs.CL]E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks
    Nikolaos Stylianou, Ioannis Vlahavas
    http://arxiv.org/abs/2011.05431v1

    • [cs.CL]From Unsupervised Machine Translation To Adversarial Text Generation
    Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2011.05449v1

    • [cs.CL]Generating Fact Checking Briefs
    Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
    http://arxiv.org/abs/2011.05448v1

    • [cs.CL]IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
    Yitao Cai, Xiaojun Wan
    http://arxiv.org/abs/2011.05744v1

    • [cs.CL]Morphological Disambiguation from Stemming Data
    Antoine Nzeyimana
    http://arxiv.org/abs/2011.05504v1

    • [cs.CL]Multilingual AMR-to-Text Generation
    Angela Fan, Claire Gardent
    http://arxiv.org/abs/2011.05443v1

    • [cs.CL]Multilingual Irony Detection with Dependency Syntax and Neural Models
    Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara
    http://arxiv.org/abs/2011.05706v1

    • [cs.CL]NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets
    Jagadeesh M S, Alphonse P J A
    http://arxiv.org/abs/2011.05551v1

    • [cs.CL]OCR Post Correction for Endangered Language Texts
    Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/2011.05402v1

    • [cs.CL]Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing
    Jordi Porta-Zamorano, Luis Espinosa-Anke
    http://arxiv.org/abs/2011.05932v1

    • [cs.CL]Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
    Elisa Bassignana, Malvina Nissim, Viviana Patti
    http://arxiv.org/abs/2011.05688v1

    • [cs.CL]Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
    Zhenpeng Zhou, Ahmad Beirami, Paul Crook, Pararth Shah, Rajen Subba, Alborz Geramifard
    http://arxiv.org/abs/2011.05457v1

    • [cs.CL]Rule-Based Approach for Party-Based SentimentAnalysis in Legal Opinion Texts
    Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Rathnayaka, Amal Shehan Perera
    http://arxiv.org/abs/2011.05675v1

    • [cs.CL]Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS
    Katsuhito Sudoh, Takatomo Kano, Sashi Novitasari, Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura
    http://arxiv.org/abs/2011.04845v2

    • [cs.CL]Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
    Lucy Havens, Melissa Terras, Benjamin Bach, Beatrice Alex
    http://arxiv.org/abs/2011.05911v1

    • [cs.CL]The Impact of Text Presentation on Translator Performance
    Samuel Läubli, Patrick Simianer, Joern Wuebker, Geza Kovacs, Rico Sennrich, Spence Green
    http://arxiv.org/abs/2011.05978v1

    • [cs.CR]A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
    Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
    http://arxiv.org/abs/2011.05296v2

    • [cs.CR]Compressive Sensing based Multi-class Privacy-preserving Cloud Computing
    Gajraj Kuldeep, Qi Zhang
    http://arxiv.org/abs/2011.05888v1

    • [cs.CR]Privacy Preservation in Federated Learning: Insights from the GDPR Perspective
    Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo
    http://arxiv.org/abs/2011.05411v1

    • [cs.CR]Proof of Authenticity of Logistics Information with Passive RFID Tags and Blockchain
    Hiroshi Watanabe, Kenji Saito, Satoshi Miyazaki, Toshiharu Okada, Hiroyuki Fukuyama, Tsuneo Kato, Katsuo Taniguchi
    http://arxiv.org/abs/2011.05442v1

    • [cs.CR]Security in biometric systems
    Francesc Serratosa
    http://arxiv.org/abs/2011.05679v1

    • [cs.CR]ShadowNet: A Secure and Efficient System for On-device Model Inference
    Zhichuang Sun, Ruimin Sun, Long Lu, Somesh Jha
    http://arxiv.org/abs/2011.05905v1

    • [cs.CV]A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications
    Tobias Scheck, Ana Perez Grassi, Gangolf Hirtz
    http://arxiv.org/abs/2011.05734v1

    • [cs.CV]A Hybrid Approach for 6DoF Pose Estimation
    Rebecca König, Bertram Drost
    http://arxiv.org/abs/2011.05669v1

    • [cs.CV]A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
    Juntao Tan, Changkyu Song, Abdeslam Boularias
    http://arxiv.org/abs/2011.05459v1

    • [cs.CV]Age Gap Reducer-GAN for Recognizing Age-Separated Faces
    Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore
    http://arxiv.org/abs/2011.05897v1

    • [cs.CV]Automatic Open-World Reliability Assessment
    Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult
    http://arxiv.org/abs/2011.05506v1

    • [cs.CV]Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps
    Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska
    http://arxiv.org/abs/2011.05370v1

    • [cs.CV]Debugging Tests for Model Explanations
    Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim
    http://arxiv.org/abs/2011.05429v1

    • [cs.CV]DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
    Yaxing Wang, Lu Yu, Joost van de Weijer
    http://arxiv.org/abs/2011.05867v1

    • [cs.CV]DeepSim: Semantic similarity metrics for learned image registration
    Steffen Czolbe, Oswin Krause, Aasa Feragen
    http://arxiv.org/abs/2011.05735v1

    • [cs.CV]Dynamic Plane Convolutional Occupancy Networks
    Stefan Lionar, Daniil Emtsev, Dusan Svilarkovic, Songyou Peng
    http://arxiv.org/abs/2011.05813v1

    • [cs.CV]End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks
    Alice Xue
    http://arxiv.org/abs/2011.05552v1

    • [cs.CV]FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
    Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang
    http://arxiv.org/abs/2011.05670v1

    • [cs.CV]Finding Relevant Flood Images on Twitter using Content-based Filters
    Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler
    http://arxiv.org/abs/2011.05756v1

    • [cs.CV]ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery
    Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng
    http://arxiv.org/abs/2011.05479v1

    • [cs.CV]GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts
    Lin Cheng, Zijiang Yang
    http://arxiv.org/abs/2011.05980v1

    • [cs.CV]Intentonomy: a Dataset and Study towards Human Intent Understanding
    Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim
    http://arxiv.org/abs/2011.05558v1

    • [cs.CV]Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
    Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao
    http://arxiv.org/abs/2011.05702v1

    • [cs.CV]Learned Equivariant Rendering without Transformation Supervision
    Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
    http://arxiv.org/abs/2011.05787v1

    • [cs.CV]Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
    Tobias Scheck, Roman Seidel, Gangolf Hirtz
    http://arxiv.org/abs/2011.05719v1

    • [cs.CV]LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm
    Sri Jamiya S, Esther Rani P
    http://arxiv.org/abs/2011.05940v1

    • [cs.CV]Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising
    Sutanu Bera, Prabir Kumar Biswas
    http://arxiv.org/abs/2011.05684v1

    • [cs.CV]Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition
    Negar Heidari, Alexandros Iosifidis
    http://arxiv.org/abs/2011.05668v1

    • [cs.CV]Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspa
    Zhiyi Pan, Peng Jiang, Changhe Tu
    http://arxiv.org/abs/2011.05621v1

    • [cs.CV]Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
    Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, Francois Bremond
    http://arxiv.org/abs/2011.05358v1

    • [cs.CV]Self-supervised Segmentation via Background Inpainting
    Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2011.05626v1

    • [cs.CV]Semi-supervised Sparse Representation with Graph Regularization for Image Classification
    Hongfeng Li
    http://arxiv.org/abs/2011.05648v1

    • [cs.CV]Skeleton-based Relational Reasoning for Group Activity Analysis
    Mauricio Perez, Jun Liu, Alex C. Kot
    http://arxiv.org/abs/2011.05653v1

    • [cs.CV]Survey on 3D face reconstruction from uncalibrated images
    Araceli Morales, Gemma Piella, Federico M. Sukno
    http://arxiv.org/abs/2011.05740v1

    • [cs.CV]Transferred Fusion Learning using Skipped Networks
    Vinayaka R Kamath, Vishal S, Varun M
    http://arxiv.org/abs/2011.05895v1

    • [cs.CV]Using GANs to Synthesise Minimum Training Data for Deepfake Generation
    Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton
    http://arxiv.org/abs/2011.05421v1

    • [cs.CV]Where to drive: free space detection with one fisheye camera
    Tobias Scheck, Adarsh Mallandur, Christian Wiede, Gangolf Hirtz
    http://arxiv.org/abs/2011.05822v1

    • [cs.CV]Zero-Pair Image to Image Translation using Domain Conditional Normalization
    Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2011.05680v1

    • [cs.CY]Personalization of learning using adaptive technologies and augmented reality
    Maiia Marienko, Yulia Nosenko, Mariya Shyshkina
    http://arxiv.org/abs/2011.05802v1

    • [cs.DC]A Distributed Algorithm for Overlapped Community Detection in Large-Scale Networks
    Dibakar Saha, Partha Sarathi Mandal
    http://arxiv.org/abs/2011.05954v1

    • [cs.DC]Coherence Traffic in Manycore Processors with Opaque Distributed Directories
    Steve Kommrusch, Marcos Horro, Louis-Noël Pouchet, Gabriel Rodríguez, Juan Touriño
    http://arxiv.org/abs/2011.05422v1

    • [cs.DC]DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
    Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo
    http://arxiv.org/abs/2011.05630v1

    • [cs.DC]I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing
    Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim, Mung Chiang, Chunyi Peng, Saurabh Bagchi
    http://arxiv.org/abs/2011.05925v1

    • [cs.DC]Mapping Stencils on Coarse-grained Reconfigurable Spatial Architecture
    Jesmin Jahan Tithi, Fabrizio Petrini, Hongbo Rong, Andrei Valentin, Carl Ebeling
    http://arxiv.org/abs/2011.05160v1

    • [cs.DC]PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment
    Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua Vogelstein, Randal Burns
    http://arxiv.org/abs/2011.05383v1

    • [cs.DC]Synchronous Concurrent Broadcasts for Intermittent Channels with Bounded Capacities
    Volker Turau
    http://arxiv.org/abs/2011.05772v1

    • [cs.DS]Adaptive Community Search in Dynamic Networks
    Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates
    http://arxiv.org/abs/2011.05353v1

    • [cs.DS]List Decoding of Direct Sum Codes
    Vedat Levi Alev, Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani
    http://arxiv.org/abs/2011.05467v1

    • [cs.DS]Unique Decoding of Explicit $ε$-balanced Codes Near the Gilbert-Varshamov Bound
    Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani
    http://arxiv.org/abs/2011.05500v1

    • [cs.FL]Inferring Symbolic Automata
    Dana Fisman, Hadar Frenkel, Sandra Zilles
    http://arxiv.org/abs/2011.05389v1

    • [cs.GR]Slice and Dice: A Physicalization Workflow for Anatomical Edutainment
    Renata G. Raidou, M. Eduard Gröller, Hsiang-Yun Wu
    http://arxiv.org/abs/2011.05689v1

    • [cs.IR]A Novel Privacy-Preserved Recommender System Framework based on Federated Learning
    Jiangcheng Qin, Baisong Liu
    http://arxiv.org/abs/2011.05614v1

    • [cs.IR]CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
    Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu
    http://arxiv.org/abs/2011.05625v1

    • [cs.IR]J-Recs: Principled and Scalable Recommendation Justification
    Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
    http://arxiv.org/abs/2011.05928v1

    • [cs.IR]Learning User Representations with Hypercuboids for Recommender Systems
    Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
    http://arxiv.org/abs/2011.05742v1

    • [cs.IT]Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode
    Volodymyr Shyianov, Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Robert W. Heath
    http://arxiv.org/abs/2011.05529v1

    • [cs.IT]Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT
    Gajraj Kuldeep, Qi Zhang
    http://arxiv.org/abs/2011.05880v1

    • [cs.IT]Error-correcting Codes for Short Tandem Duplication and Substitution Errors
    Yuanyuan Tang, Farzad Farnoud
    http://arxiv.org/abs/2011.05896v1

    • [cs.IT]Interference Impact on Decode-and-Forward Relay Networks with RIS-Assisted Source and Relays
    Anas M. Salhab
    http://arxiv.org/abs/2011.05619v1

    • [cs.IT]Optimized Power Control for Over-the-Air Federated Edge Learning
    Xiaowen Cao, Guangxu Zhu, Jie Xu, Shuguang Cui
    http://arxiv.org/abs/2011.05587v1

    • [cs.IT]Optimizing the Age-of-Information for Mobile Users in Adversarial and Stochastic Environments
    Abhishek Sinha, Rajarshi Bhattacharjee
    http://arxiv.org/abs/2011.05563v1

    • [cs.IT]Performance Analysis of RIS-Assisted Source Mixed RF/FSO Relay Networks
    Anas M. Salhab
    http://arxiv.org/abs/2011.05612v1

    • [cs.IT]Sparse and Balanced MDS Codes over Small Fields
    Tingting Chen, Xiande Zhang
    http://arxiv.org/abs/2011.05634v1

    • [cs.IT]Transmission of a Bit over a Discrete Poisson Channel with Memory
    Niloufar Ahmadypour, Amin Gohari
    http://arxiv.org/abs/2011.05931v1

    • [cs.LG]A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis
    Tengyu Xu, Yingbin Liang, Guanghui Lan
    http://arxiv.org/abs/2011.05869v1

    • [cs.LG]A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures
    Yingtao Luo, Xuefeng Zhu
    http://arxiv.org/abs/2011.05511v1

    • [cs.LG]A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus
    Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, Gyorgy J. Simon
    http://arxiv.org/abs/2011.05489v1

    • [cs.LG]Accounting for Human Learning when Inferring Human Preferences
    Harry Giles, Lawrence Chan
    http://arxiv.org/abs/2011.05596v1

    • [cs.LG]Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data
    Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier
    http://arxiv.org/abs/2011.05384v1

    • [cs.LG]Behaviorally Diverse Traffic Simulation via Reinforcement Learning
    Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon
    http://arxiv.org/abs/2011.05741v1

    • [cs.LG]Deja vu from the SVM Era: Example-based Explanations with Outlier Detection
    Penny Chong, Yuval Elovici, Alexander Binder
    http://arxiv.org/abs/2011.05577v1

    • [cs.LG]Differentially Private Synthetic Data: Applied Evaluations and Enhancements
    Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen
    http://arxiv.org/abs/2011.05537v1

    • [cs.LG]Discrete solution pools and noise-contrastive estimation for predict-and-optimize
    Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
    http://arxiv.org/abs/2011.05354v1

    • [cs.LG]Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation
    Stefanos Antaris, Dimitrios Rafailidis
    http://arxiv.org/abs/2011.05664v1

    • [cs.LG]Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
    Zhanqiu Zhang, Jianyu Cai, Jie Wang
    http://arxiv.org/abs/2011.05816v1

    • [cs.LG]EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events
    Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
    http://arxiv.org/abs/2011.05705v1

    • [cs.LG]Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
    Bowen Baker
    http://arxiv.org/abs/2011.05373v1

    • [cs.LG]Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy
    Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu
    http://arxiv.org/abs/2011.05934v1

    • [cs.LG]End-To-End Semi-supervised Learning for Differentiable Particle Filters
    Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li
    http://arxiv.org/abs/2011.05748v1

    • [cs.LG]Energy consumption forecasting using a stacked nonparametric Bayesian approach
    Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O Neil, Weihong Wang, Chen Cai
    http://arxiv.org/abs/2011.05519v1

    • [cs.LG]EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
    Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
    http://arxiv.org/abs/2011.05704v1

    • [cs.LG]FAT: Training Neural Networks for Reliable Inference Under Hardware Faults
    Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees Vissers
    http://arxiv.org/abs/2011.05873v1

    • [cs.LG]Filtered Manifold Alignment
    Stefan Dernbach, Don Towsley
    http://arxiv.org/abs/2011.05716v1

    • [cs.LG]Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL
    Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty
    http://arxiv.org/abs/2011.05927v1

    • [cs.LG]Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach
    Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye
    http://arxiv.org/abs/2011.05602v1

    • [cs.LG]Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
    Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans
    http://arxiv.org/abs/2011.05363v1

    • [cs.LG]Learning ODE Models with Qualitative Structure Using Gaussian Processes
    Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum
    http://arxiv.org/abs/2011.05364v1

    • [cs.LG]Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
    Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu
    http://arxiv.org/abs/2011.05399v1

    • [cs.LG]Matrix Completion with Noise via Leveraged Sampling
    Xinjian Huang, Weiwei Liu, Bo Du
    http://arxiv.org/abs/2011.05885v1

    • [cs.LG]Multi-Label Classification Using Link Prediction
    Seyed Amin Fadaee, Maryam Amir Haeri
    http://arxiv.org/abs/2011.05476v1

    • [cs.LG]Neural Network Compression Via Sparse Optimization
    Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu
    http://arxiv.org/abs/2011.04868v2

    • [cs.LG]On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
    Ramy E. Ali, Jinhyun So, A. Salman Avestimehr
    http://arxiv.org/abs/2011.05530v1

    • [cs.LG]Perturbation-based exploration methods in deep reinforcement learning
    Sneha Aenugu
    http://arxiv.org/abs/2011.05446v1

    • [cs.LG]Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning
    Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar
    http://arxiv.org/abs/2011.05369v1

    • [cs.LG]Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
    Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng, Shu-Huan Xie, Yong Li, Andrea Alu, Jie Zhu, Xue-Feng Zhu
    http://arxiv.org/abs/2011.05516v1

    • [cs.LG]Proximal Policy Optimization via Enhanced Exploration Efficiency
    Junwei Zhang, Zhenghao Zhang, Shuai Han, Shuai Lü
    http://arxiv.org/abs/2011.05525v1

    • [cs.LG]Real-Time Decentralized knowledge Transfer at the Edge
    Orpaz Goldstein, Mohammad Kachuee, Dereck Shiell, Majid Sarrafzadeh
    http://arxiv.org/abs/2011.05961v1

    • [cs.LG]Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
    Jonathan Boigne, Biman Liyanage, Ted Östrem
    http://arxiv.org/abs/2011.05585v1

    • [cs.LG]Regularization of Persistent Homology Gradient Computation
    Padraig Corcoran, Bailin Deng
    http://arxiv.org/abs/2011.05804v1

    • [cs.LG]SALR: Sharpness-aware Learning Rates for Improved Generalization
    Xubo Yue, Maher Nouiehed, Raed Al Kontar
    http://arxiv.org/abs/2011.05348v1

    • [cs.LG]Semi-Structured Deep Piecewise Exponential Models
    Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
    http://arxiv.org/abs/2011.05824v1

    • [cs.LG]Teaching deep learning causal effects improves predictive performance
    Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael Steinbach, Gyorgy Simon
    http://arxiv.org/abs/2011.05466v1

    • [cs.LG]Transformers for One-Shot Visual Imitation
    Sudeep Dasari, Abhinav Gupta
    http://arxiv.org/abs/2011.05970v1

    • [cs.LG]Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
    Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
    http://arxiv.org/abs/2011.05507v1

    • [cs.NE]A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications
    Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani
    http://arxiv.org/abs/2011.05700v1

    • [cs.NE]A Survey and Implementation of Performance Metrics for Self-Organized Maps
    Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
    http://arxiv.org/abs/2011.05847v1

    • [cs.NE]Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems
    Alexey Averkin, Sergey Yarushev
    http://arxiv.org/abs/2011.05588v1

    • [cs.NE]Identifying Properties of Real-World Optimisation Problems through a Questionnaire
    Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tušar
    http://arxiv.org/abs/2011.05547v1

    • [cs.RO]Accelerating Grasp Exploration by Leveraging Learned Priors
    Han Yu Li, Michael Danielczuk, Ashwin Balakrishna, Vishal Satish, Ken Goldberg
    http://arxiv.org/abs/2011.05661v1

    • [cs.RO]Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
    Sivanathan Kandhasamy, Vinayagam Babu Kuppusamy, Tanmay Vilas Samak, Chinmay Vilas Samak
    http://arxiv.org/abs/2011.05605v1

    • [cs.RO]Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography
    Arthur Bucker, Rogerio Bonatti, Sebastian Scherer
    http://arxiv.org/abs/2011.05437v1

    • [cs.RO]Docking two multirotors in midair using relative vision measurements
    Karan P. Jain, Minos Park, Mark W. Mueller
    http://arxiv.org/abs/2011.05565v1

    • [cs.RO]Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
    Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Shivin Devgon, Ken Goldberg
    http://arxiv.org/abs/2011.05632v1

    • [cs.RO]FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection
    Arda Inceoglu, Eren Erdal Aksoy, Abdullah Cihan Ak, Sanem Sariel
    http://arxiv.org/abs/2011.05817v1

    • [cs.RO]Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
    Teguh Santoso Lembono, Emmanuel Pignat, Julius Jankowski, Sylvain Calinon
    http://arxiv.org/abs/2011.05717v1

    • [cs.RO]LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*
    Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes Müller, Michael Buchholz
    http://arxiv.org/abs/2011.05657v1

    • [cs.RO]Learning Agile Locomotion Skills with a Mentor
    Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts
    http://arxiv.org/abs/2011.05541v1

    • [cs.RO]Learning Bayes Filter Models for Tactile Localization
    Tarik Kelestemur, Colin Keil, John P. Whitney, Robert Platt, Taskin Padir
    http://arxiv.org/abs/2011.05559v1

    • [cs.RO]Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning
    Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jagersand
    http://arxiv.org/abs/2011.05857v1

    • [cs.RO]Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots
    Maegan Tucker, Noel Csomay-Shanklin, Wen-Loong Ma, Aaron D. Ames
    http://arxiv.org/abs/2011.05424v1

    • [cs.RO]Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
    Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
    http://arxiv.org/abs/2011.05782v1

    • [cs.RO]Reinforcement Learning with Time-dependent Goals for Robotic Musicians
    Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter
    http://arxiv.org/abs/2011.05715v1

    • [cs.RO]SPRITE: Stewart Platform Robot for Interactive Tabletop Engagement
    Elaine Schaertl Short, Dale Short, Yifeng Fu, Maja Matarić
    http://arxiv.org/abs/2011.05786v1

    • [cs.RO]Self-supervised Learning of LiDAR Odometry for Robotic Applications
    Julian Nubert, Shehryar Khattak, Marco Hutter
    http://arxiv.org/abs/2011.05418v1

    • [cs.RO]Simulating Autonomous Driving in Massive Mixed Urban Traffic
    Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
    http://arxiv.org/abs/2011.05767v1

    • [cs.RO]Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
    Matthew Marge, Carol Espy-Wilson, Nigel Ward
    http://arxiv.org/abs/2011.05533v1

    • [cs.RO]StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
    Rohan Chandra, Aniket Bera, Dinesh Manocha
    http://arxiv.org/abs/2011.04816v2

    • [cs.RO]Zero-Shot Terrain Generalization for Visual Locomotion Policies
    Alejandro Escontrela, George Yu, Peng Xu, Atil Iscen, Jie Tan
    http://arxiv.org/abs/2011.05513v1

    • [cs.SD]Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning
    Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen, Leichao Song
    http://arxiv.org/abs/2011.05591v1

    • [cs.SD]WaDeNet: Wavelet Decomposition based CNN for Speech Processing
    Prithvi Suresh, Abhijith Ragav
    http://arxiv.org/abs/2011.05594v1

    • [cs.SI]A New Model of Flaming Phenomena in Online Social Networks that Considers Resonance Driven by External Stimuli
    Tomoya Kinoshita, Masaki Aida
    http://arxiv.org/abs/2011.05404v1

    • [cs.SI]A model for the Twitter sentiment curve
    Giacomo Aletti, Irene Crimaldi, Fabio Saracco
    http://arxiv.org/abs/2011.05933v1

    • [cs.SI]Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media
    Calton Pu, Abhijit Suprem, Rodrigo Alves Lima
    http://arxiv.org/abs/2011.05416v1

    • [cs.SI]Characterising and Detecting Sponsored Influencer Posts on Instagram
    Koosha Zar
    6bb8
    ei, Damilola Ibosiola, Reza Farahbakhsh, Zafar Gilani, Kiran Garimella, Noel Crespi, Gareth Tyson
    http://arxiv.org/abs/2011.05757v1

    • [cs.SI]Closed-Form Solutions of the Fundamental Equation That Describes User Dynamics in Online Social Networks
    T. Ikeya, Masaki Aida
    http://arxiv.org/abs/2011.05391v1

    • [cs.SI]Detecting Social Media Manipulation in Low-Resource Languages
    Samar Haider, Luca Luceri, Ashok Deb, Adam Badawy, Nanyun Peng, Emilio Ferrara
    http://arxiv.org/abs/2011.05367v1

    • [cs.SI]Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion
    Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey
    http://arxiv.org/abs/2011.05440v1

    • [cs.SI]Linking OpenStreetMap with Knowledge Graphs — Link Discovery for Schema-Agnostic Volunteered Geographic Information
    Nicolas Tempelmeier, Elena Demidova
    http://arxiv.org/abs/2011.05841v1

    • [cs.SI]Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking
    Masaki Aida, Ayako Hashizume, Chisa Takano, Masayuki Murata
    http://arxiv.org/abs/2011.05393v1

    • [cs.SI]Small Survey Event Detection
    Debanjan Datta
    http://arxiv.org/abs/2011.05801v1

    • [cs.SI]The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
    Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir Memon
    http://arxiv.org/abs/2011.05773v1

    • [cs.SI]Toward Edge-Centric Network Embeddings
    Giuseppe Pirrò
    http://arxiv.org/abs/2011.05650v1

    • [cs.SI]UTLDR: an agent-based framework for modeling infectious diseases and public interventions
    Giulio Rossetti, Letizia Milli, Salvatore Citraro, Virginia Morini
    http://arxiv.org/abs/2011.05606v1

    • [econ.GN]Disentangling Community-level Changes in Crime Trends During the COVID-19 Pandemic in Chicago
    Gian Maria Campedelli, Serena Favarin, Alberto Aziani, Alex R. Piquero
    http://arxiv.org/abs/2011.05658v1

    • [eess.AS]Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients
    Huahuan Zheng, Keyu An, Zhijian Ou
    http://arxiv.org/abs/2011.05649v1

    • [eess.AS]On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments
    Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
    http://arxiv.org/abs/2011.05958v1

    • [eess.IV]An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images
    Sagar Kora Venu
    http://arxiv.org/abs/2011.05543v1

    • [eess.IV]Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines
    Umut Özkaya, Şaban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat
    http://arxiv.org/abs/2011.05746v1

    • [eess.IV]Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success
    Qi Tang, Vardaan Kishore Kumar
    http://arxiv.org/abs/2011.05406v1

    • [eess.IV]Distorted image restoration using stacked adversarial network
    Yi Gu, Yuting Gao, Jie Li, Chentao Wu, Weijia Jia
    http://arxiv.org/abs/2011.05784v1

    • [eess.IV]Glioma Classification Using Multimodal Radiology and Histology Data
    Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan
    http://arxiv.org/abs/2011.05410v1

    • [eess.IV]Skin disease diagnosis with deep learning: a review
    Hongfeng Li
    http://arxiv.org/abs/2011.05627v1

    • [eess.SP]Bayesian model of electrical heating disaggregation
    François Culière, Laetitia Leduc, Alexander Belikov
    http://arxiv.org/abs/2011.05674v1

    • [eess.SP]Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications
    Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang
    http://arxiv.org/abs/2011.05574v1

    • [eess.SP]Gaussian Compression Stream: Principle and Preliminary Results
    Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel
    http://arxiv.org/abs/2011.05390v1

    • [eess.SY]Improvement of plant performance using Closed loop Reference Model Simple Adaptive Control for Micro Air Vehicle
    Shuvrangshu Jana, M. Seetharama Bhat
    http://arxiv.org/abs/2011.05924v1

    • [eess.SY]Model-Dependent Prosthesis Control with Interaction Force Estimation
    Rachel Gehlhar, Aaron D. Ames
    http://arxiv.org/abs/2011.05793v1

    • [math.OC]Using parameter elimination to solve discrete linear Chebyshev approximation problems
    Nikolai Krivulin
    http://arxiv.org/abs/2011.05460v1

    • [math.ST]On a general definition of the functional linear model
    José R. Berrendero, Alejandro Cholaquidis, Antonio Cuevas
    http://arxiv.org/abs/2011.05441v1

    • [math.ST]On the consistency of a random forest algorithm in the presence of missing entries
    Irving Gómez Méndez, Emilien Joly
    http://arxiv.org/abs/2011.05433v1

    • [physics.data-an]Mode hunting through active information
    Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao, Jean-Eudes Dazard
    http://arxiv.org/abs/2011.05794v1

    • [physics.med-ph]Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
    Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl, Kris Dreher, Jan-Hinrich Nölke, Alexander Seitel, Minu D. Tizabi, Beat P. Müller-Stich, Lena Maier-Hein
    http://arxiv.org/abs/2011.04997v2

    • [physics.soc-ph]Characterizing the head of the degree distributions of growing networks
    Jan Medina-López, Jorge Finke
    http://arxiv.org/abs/2011.04643v2

    • [q-bio.NC]Adversarial images for the primate brain
    Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone
    http://arxiv.org/abs/2011.05623v1

    • [q-bio.QM]A deep-learning classifier for cardiac arrhythmias
    Carla Sofia Carvalho
    http://arxiv.org/abs/2011.05471v1

    • [q-bio.QM]Cryo-RALib — a modular library for accelerating alignment in cryo-EM
    Szu-Chi Chung, Cheng-Yu Hung, Huei-Lun Siao, Hung-Yi Wu, Wei-Hau Chang, I-Ping Tu
    http://arxiv.org/abs/2011.05755v1

    • [q-fin.PM]Dirichlet policies for reinforced factor portfolios
    Eric André, Guillaume Coqueret
    http://arxiv.org/abs/2011.05381v1

    • [quant-ph]Fast semidefinite programming with feedforward neural networks
    Tamás Kriváchy, Yu Cai, Joseph Bowles, Daniel Cavalcanti, Nicolas Brunner
    http://arxiv.org/abs/2011.05785v1

    • [quant-ph]On contraction coefficients, partial orders and approximation of capacities for quantum channels
    Christoph Hirche, Cambyse Rouzé, Daniel Stilck França
    http://arxiv.org/abs/2011.05949v1

    • [stat.AP]A Bayesian Nonparametric model for textural pattern heterogeneity
    Xiao Li, Michele Guindani, Chaan S. Ng, Brian P. Hobbs
    http://arxiv.org/abs/2011.05548v1

    • [stat.AP]A General Class of New Continuous Mixture Distribution and Application
    Brijesh P. Singh, Sandeep Singh, Utpal Dhar Das
    http://arxiv.org/abs/2011.05721v1

    • [stat.ME]A trial emulation approach for policy evaluations with group-level longitudinal data
    Eli Ben-Michael, Avi Feller, Elizabeth A. Stuart
    http://arxiv.org/abs/2011.05826v1

    • [stat.ME]It’s All Relative: New Regression Paradigm for Microbiome Compositional Data
    Gen Li, Yan Li, Kun Chen
    http://arxiv.org/abs/2011.05951v1

    • [stat.ME]Learning a high-dimensional classification rule using auxiliary outcomes
    Muxuan Liang, Xiang Zhong, Jaeyoung Park
    http://arxiv.org/abs/2011.05493v1

    • [stat.ME]Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margin
    Olanrewaju Akande, Jerome P. Reiter
    http://arxiv.org/abs/2011.05482v1

    • [stat.ME]Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
    Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
    http://arxiv.org/abs/2011.05877v1

    • [stat.ML]$(f,Γ)$-Divergences: Interpolating between $f$-Divergences and Integral Probability Metrics
    Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
    http://arxiv.org/abs/2011.05953v1

    • [stat.ML]A Nonconvex Framework for Structured Dynamic Covariance Recovery
    Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
    http://arxiv.org/abs/2011.05601v1

    • [stat.ML]A decision-making tool to fine-tune abnormal levels in the complete blood count tests
    Marta Avalos-Fernandez, Helene Touchais, Marcela Henriquez-Henriquez
    http://arxiv.org/abs/2011.05900v1

    • [stat.ML]Asymptotically Optimal Information-Directed Sampling
    Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári
    http://arxiv.org/abs/2011.05944v1

    • [stat.ML]Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images
    Sambuddha Ghosal, Pratik Shah
    http://arxiv.org/abs/2011.05791v1

    • [stat.ML]Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
    Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe
    http://arxiv.org/abs/2011.05836v1