cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 gr-qc - 广义相对论与量子宇宙学 math.FA - 泛函演算 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.flu-dyn - 流体动力学 q-fin.ST - 统计金融学 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]A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations
    • [cs.AI]Deep Learning for Procedural Content Generation
    • [cs.AI]High-Order Relation Construction and Mining for Graph Matching
    • [cs.AI]Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization
    • [cs.CL]A Survey of Knowledge-Enhanced Text Generation
    • [cs.CL]Case Study: Deontological Ethics in NLP
    • [cs.CL]Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
    • [cs.CL]Denoising Multi-Source Weak Supervision for Neural Text Classification
    • [cs.CL]Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
    • [cs.CL]Examining the Ordering of Rhetorical Strategies in Persuasive Requests
    • [cs.CL]Fake Reviews Detection through Analysis of Linguistic Features
    • [cs.CL]Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset
    • [cs.CL]Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
    • [cs.CL]HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
    • [cs.CL]High-order Semantic Role Labeling
    • [cs.CL]How Can Self-Attention Networks Recognize Dyck-n Languages?
    • [cs.CL]Langsmith: An Interactive Academic Text Revision System
    • [cs.CL]Learning Context-Free Languages with Nondeterministic Stack RNNs
    • [cs.CL]Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
    • [cs.CL]Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
    • [cs.CL]MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
    • [cs.CL]Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
    • [cs.CL]Masked ELMo: An evolution of ELMo towards fully contextual RNN language models
    • [cs.CL]Measuring What Counts: The case of Rumour Stance Classification
    • [cs.CL]Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
    • [cs.CL]NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
    • [cs.CL]Online Back-Parsing for AMR-to-Text Generation
    • [cs.CL]Plug-and-Play Conversational Models
    • [cs.CL]Pragmatically Informative Color Generation by Grounding Contextual Modifiers
    • [cs.CL]Q-learning with Language Model for Edit-based Unsupervised Summarization
    • [cs.CL]Recurrent babbling: evaluating the acquisition of grammar from limited input data
    • [cs.CL]Recursive Top-Down Production for Sentence Generation with Latent Trees
    • [cs.CL]Scaling Systematic Literature Reviews with Machine Learning Pipelines
    • [cs.CL]Self-Paced Learning for Neural Machine Translation
    • [cs.CL]Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
    • [cs.CL]Token-level Adaptive Training for Neural Machine Translation
    • [cs.CL]Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models
    • [cs.CL]Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
    • [cs.CL]Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
    • [cs.CL]Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
    • [cs.CL]What Have We Achieved on Text Summarization?
    • [cs.CL]Word Level Language Identification in English Telugu Code Mixed Data
    • [cs.CL]comp-syn: Perceptually Grounded Word Embeddings with Color
    • [cs.CL]gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data
    • [cs.CL]iobes: A Library for Span-Level Processing
    • [cs.CR]Weaponizing Unicodes with Deep Learning — Identifying Homoglyphs with Weakly Labeled Data
    • [cs.CV]A Novel ANN Structure for Image Recognition
    • [cs.CV]A deep learning based interactive sketching system for fashion images design
    • [cs.CV]Addressing the Real-world Class Imbalance Problem in Dermatology
    • [cs.CV]Background Learnable Cascade for Zero-Shot Object Detection
    • [cs.CV]Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
    • [cs.CV]Contralaterally Enhanced Networks for Thoracic Disease Detection
    • [cs.CV]Controllable Continuous Gaze Redirection
    • [cs.CV]Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder
    • [cs.CV]Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
    • [cs.CV]Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
    • [cs.CV]DeepStreet: A deep learning powered urban street network generation module
    • [cs.CV]Efficient Real-Time Radial Distortion Correction for UAVs
    • [cs.CV]Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves
    • [cs.CV]Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
    • [cs.CV]GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
    • [cs.CV]Generating Novel Glyph without Human Data by Learning to Communicate
    • [cs.CV]Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
    • [cs.CV]Incorporating planning intelligence into deep learning: A planning support tool for street network design
    • [cs.CV]Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
    • [cs.CV]Learning 3D Face Reconstruction with a Pose Guidance Network
    • [cs.CV]Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system
    • [cs.CV]MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects
    • [cs.CV]Once Quantized for All: Progressively Searching for Quantized Efficient Models
    • [cs.CV]Real Time Face Recognition Using Convoluted Neural Networks
    • [cs.CV]Real-time Mask Detection on Google Edge TPU
    • [cs.CV]Refinement of Predicted Missing Parts Enhance Point Cloud Completion
    • [cs.CV]Robust Instance Tracking via Uncertainty Flow
    • [cs.CV]Robust Isometric Non-Rigid Structure-from-Motion
    • [cs.CV]Table Structure Recognition using Top-Down and Bottom-Up Cues
    • [cs.CV]Targeted Attention Attack on Deep Learning Models in Road Sign Recognition
    • [cs.CV]Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
    • [cs.CV]Uncertainty-Aware Few-Shot Image Classification
    • [cs.CV]gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis
    • [cs.CY]A policy and legal Open Science framework: a proposal
    • [cs.CY]Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
    • [cs.CY]Facebook Ads: Politics of Migration in Italy
    • [cs.CY]Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment
    • [cs.CY]Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study
    • [cs.CY]Standardized Tests and Affirmative Action: The Role of Bias and Variance
    • [cs.CY]Unemployment Through the Lens of Social Media
    • [cs.DC]A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
    • [cs.DC]A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
    • [cs.DC]Analyzing HPC Support Tickets: Experience and Recommendations
    • [cs.DC]Distributed Computing in a Pandemic: A Review of Technologies available for Tackling COVID-19
    • [cs.DC]Gathering in Linear Time: A Closed Chain of Disoriented & Luminous Robots with Limited Visibility
    • [cs.DC]Proactive Serverless Function Resource Management
    • [cs.DC]Stand Up Indulgent Rendezvous
    • [cs.DS]Streaming Submodular Maximization with Fairness Constraints
    • [cs.IR]Baseline and Triangulation Geometry in a Standard Plenoptic Camera
    • [cs.IR]Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
    • [cs.IT]An Overview on Multiway Relay Communications: Fundamental Issues, Recent Advances, and New Challenges
    • [cs.IT]Deterministic Identification Over Channels with Power Constraints
    • [cs.IT]Hybrid Beamforming in 5G mmWave Networks: a Full-stack Perspective
    • [cs.IT]Low-Complexity ZF/MMSE Receivers for MIMO-OTFS Systems With Imperfect CSI
    • [cs.IT]New MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes over Finite Fields
    • [cs.IT]On the Transmission Probabilities in Quantum Key Distribution Systems over FSO Links
    • [cs.IT]Partially-Connected Hybrid Beamforming for Spectral Efficiency Maximization via a Weighted MMSE Equivalence
    • [cs.IT]Performance Analysis of a Two-Tile Reconfigurable Intelligent Surface Assisted $2\times 2$ MIMO System
    • [cs.IT]Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces
    • [cs.IT]Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation
    • [cs.LG]A Fully Tensorized Recurrent Neural Network
    • [cs.LG]Adaptive and Momentum Methods on Manifolds Through Trivializations
    • [cs.LG]Affine-Invariant Robust Training
    • [cs.LG]Algorithmic Frameworks for the Detection of High Density Anomalies
    • [cs.LG]Approximating smooth functions by deep neural networks with sigmoid activation function
    • [cs.LG]Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
    • [cs.LG]Contrastive Learning with Hard Negative Samples
    • [cs.LG]Deep Learning Meets Projective Clustering
    • [cs.LG]Deep RL With Information Constrained Policies: Generalization in Continuous Control
    • [cs.LG]Dirichlet Graph Variational Autoencoder
    • [cs.LG]Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
    • [cs.LG]EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
    • [cs.LG]Event Representation with Sequential, Semi-Supervised Discrete Variables
    • [cs.LG]Gini in a Bottleneck: Gotta Train Me the Right Way
    • [cs.LG]HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
    • [cs.LG]Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning
    • [cs.LG]Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
    • [cs.LG]Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients
    • [cs.LG]Joint State-Action Embedding for Efficient Reinforcement Learning
    • [cs.LG]Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
    • [cs.LG]Latent Dirichlet Allocation Model Training with Differential Privacy
    • [cs.LG]Learning Binary Trees via Sparse Relaxation
    • [cs.LG]Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
    • [cs.LG]Learning not to learn: Nature versus nurture in silico
    • [cs.LG]Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
    • [cs.LG]Linear Mode Connectivity in Multitask and Continual Learning
    • [cs.LG]Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
    • [cs.LG]Model Exploration with Cost-Aware Learning
    • [cs.LG]Neural Random Projection: From the Initial Task To the Input Similarity Problem
    • [cs.LG]Nonstationary Reinforcement Learning with Linear Function Approximation
    • [cs.LG]Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees
    • [cs.LG]Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
    • [cs.LG]Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
    • [cs.LG]Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
    • [cs.LG]Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
    • [cs.LG]Using Graph Neural Networks for Mass Spectrometry Prediction
    • [cs.MM]A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers
    • [cs.MS]Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions
    • [cs.NE]Bioinspired Bipedal Locomotion Control for Humanoid Robotics Based on EACO
    • [cs.NE]Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
    • [cs.NE]Multi-Objective Optimisation of Multi-Output Neural Trees
    • [cs.NE]Scalable Many-Objective Pathfinding Benchmark Suite
    • [cs.NE]Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
    • [cs.NI]PsPIN: A high-performance low-power architecture for flexible in-network compute
    • [cs.RO]CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
    • [cs.RO]Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
    • [cs.RO]Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction
    • [cs.RO]LaND: Learning to Navigate from Disengagements
    • [cs.RO]Lyapunov-Stable Orientation Estimator for Humanoid Robots
    • [cs.RO]Mechanism Design of a Bio-inspired Armwing Mechanism for Mimicking Bat Flapping Gait
    • [cs.RO]Robust walking based on MPC with viability-based feasibility guarantees
    • [cs.RO]Task-Space Control Interface for SoftBank Humanoid Robots and its Human-Robot Interaction Applications
    • [cs.RO]Towards Social HRI for Improving Children’s Healthcare Experiences
    • [cs.SD]Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN
    • [cs.SD]Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling
    • [cs.SE]Retrieve and Refine: Exemplar-based Neural Comment Generation
    • [cs.SI]GitEvolve: Predicting the Evolution of GitHub Repositories
    • [cs.SI]Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter
    • [econ.EM]Sparse network asymptotics for logistic regression
    • [eess.AS]Audio-Visual Speech Inpainting with Deep Learning
    • [eess.AS]The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders
    • [eess.IV]Attaining Real-Time Super-Resolution for Microscopic Images Using GAN
    • [eess.IV]PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
    • [eess.IV]Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
    • [eess.IV]Unsupervised 3D Brain Anomaly Detection
    • [eess.IV]WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
    • [eess.SY]MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression
    • [gr-qc]Genetic-algorithm-optimized neural networks for gravitational wave classification
    • [math.FA]Hilbert valued fractionally integrated autoregressive moving average processes with long memory operators
    • [math.ST]A new generalization of the geometric distribution using Azzalini’s mechanism: properties and application
    • [math.ST]Adaptive spectral density estimation by model selection under local differential privacy
    • [math.ST]Exact Minimax Estimation for Phase Synchronization
    • [math.ST]The Unit-Gompertz Distribution: Characterizations and Properties
    • [physics.data-an]MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler
    • [physics.flu-dyn]Physical invariance in neural networks for subgrid-scale scalar flux modeling
    • [q-fin.ST]Roughness in spot variance? A GMM approach for estimation of fractional log-normal stochastic volatility models using realized measures
    • [quant-ph]SchWARMA: A model-based approach for time-correlated noise in quantum circuits
    • [stat.AP]Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management
    • [stat.ME]A Mechanistic Model of Annual Sulfate Concentrations in the United States
    • [stat.ME]Asymmetric prior in wavelet shrinkage
    • [stat.ME]Autoregressive Networks
    • [stat.ME]Causal inference for semi-competing risks data
    • [stat.ME]False Discovery Rate Computation: Illustrations and Modifications
    • [stat.ME]Principal Component Analysis using Frequency Components of Multivariate Time Series
    • [stat.ME]Uniform Deconvolution for Poisson Point Processes
    • [stat.ML]Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
    • [stat.ML]Few-shot Learning for Spatial Regression
    • [stat.ML]Handling Imbalanced Data: A Case Study for Binary Class Problems
    • [stat.ML]Neural Networks as Functional Classifiers
    • [stat.ML]Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids

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    • [cs.AI]A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations
    Andrea Ferrario, Michele Loi
    http://arxiv.org/abs/2010.04687v1

    • [cs.AI]Deep Learning for Procedural Content Generation
    Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius
    http://arxiv.org/abs/2010.04548v1

    • [cs.AI]High-Order Relation Construction and Mining for Graph Matching
    Hui Xu, Liyao Xiang, Youmin Le, Xiaoying Gan, Yuting Jia, Luoyi Fu, Xinbing Wang
    http://arxiv.org/abs/2010.04348v1

    • [cs.AI]Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization
    Mengjun Ming, Rui Wang, Tao Zhang
    http://arxiv.org/abs/2010.04445v1

    • [cs.CL]A Survey of Knowledge-Enhanced Text Generation
    Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
    http://arxiv.org/abs/2010.04389v1

    • [cs.CL]Case Study: Deontological Ethics in NLP
    Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W Black
    http://arxiv.org/abs/2010.04658v1

    • [cs.CL]Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers
    Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury, Srinivas Bangalore
    http://arxiv.org/abs/2010.04362v1

    • [cs.CL]Denoising Multi-Source Weak Supervision for Neural Text Classification
    Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie Mitchell, Chao Zhang
    http://arxiv.org/abs/2010.04582v1

    • [cs.CL]Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
    Xiaomian Kang, Yang Zhao, Jiajun Zhang, Chengqing Zong
    http://arxiv.org/abs/2010.04314v1

    • [cs.CL]Examining the Ordering of Rhetorical Strategies in Persuasive Requests
    Omar Shaikh, Jiaao Chen, Jon Saad-Falcon, Duen Horng, Chau, Diyi Yang
    http://arxiv.org/abs/2010.04625v1

    • [cs.CL]Fake Reviews Detection through Analysis of Linguistic Features
    Faranak Abri, Luis Felipe Gutierrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears
    http://arxiv.org/abs/2010.04260v1

    • [cs.CL]Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset
    Jennifer D’Souza, Sören Auer
    http://arxiv.org/abs/2010.04388v1

    • [cs.CL]Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
    Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia
    http://arxiv.org/abs/2010.04640v1

    • [cs.CL]HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
    Hsin-Yu Chen, Cheng-Te Li
    http://arxiv.org/abs/2010.04576v1

    • [cs.CL]High-order Semantic Role Labeling
    Zuchao Li, Hai Zhao, Rui Wang, Kevin Parnow
    http://arxiv.org/abs/2010.04641v1

    • [cs.CL]How Can Self-Attention Networks Recognize Dyck-n Languages?
    Javid Ebrahimi, Dhruv Gelda, Wei Zhang
    http://arxiv.org/abs/2010.04303v1

    • [cs.CL]Langsmith: An Interactive Academic Text Revision System
    Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui
    http://arxiv.org/abs/2010.04332v1

    • [cs.CL]Learning Context-Free Languages with Nondeterministic Stack RNNs
    Brian DuSell, David Chiang
    http://arxiv.org/abs/2010.04674v1

    • [cs.CL]Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
    Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh
    http://arxiv.org/abs/2010.04297v1

    • [cs.CL]Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
    Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
    http://arxiv.org/abs/2010.04383v1

    • [cs.CL]MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
    Marina Fomicheva, Shuo Sun, Erick Fonseca, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins
    http://arxiv.org/abs/2010.04480v1

    • [cs.CL]Mark-Evaluate: Assessing Language Generation using Population Estimation Methods
    Gonçalo Mordido, Christoph Meinel
    http://arxiv.org/abs/2010.04606v1

    • [cs.CL]Masked ELMo: An evolution of ELMo towards fully contextual RNN language models
    Gregory Senay, Emmanuelle Salin
    http://arxiv.org/abs/2010.04302v1

    • [cs.CL]Measuring What Counts: The case of Rumour Stance Classification
    Carolina Scarton, Diego F. Silva, Kalina Bontcheva
    http://arxiv.org/abs/2010.04532v1

    • [cs.CL]Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
    Harris Chan, Jamie Kiros, William Chan
    http://arxiv.org/abs/2010.04438v1

    • [cs.CL]NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
    Priyanshu Kumar, Aadarsh Singh
    http://arxiv.org/abs/2010.04335v1

    • [cs.CL]Online Back-Parsing for AMR-to-Text Generation
    Xuefeng Bai, Linfeng Song, Yue Zhang
    http://arxiv.org/abs/2010.04520v1

    • [cs.CL]Plug-and-Play Conversational Models
    Andrea Madotto, Etsuko Ishii, Zhaojiang Lin, Sumanth Dathathri, Pascale Fung
    http://arxiv.org/abs/2010.04344v1

    • [cs.CL]Pragmatically Informative Color Generation by Grounding Contextual Modifiers
    Zhengxuan Wu, Desmond C. Ong
    http://arxiv.org/abs/2010.04372v1

    • [cs.CL]Q-learning with Language Model for Edit-based Unsupervised Summarization
    Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana
    http://arxiv.org/abs/2010.04379v1

    • [cs.CL]Recurrent babbling: evaluating the acquisition of grammar from limited input data
    Ludovica Pannitto, Aurélie Herbelot
    http://arxiv.org/abs/2010.04637v1

    • [cs.CL]Recursive Top-Down Production for Sentence Generation with Latent Trees
    Shawn Tan, Yikang Shen, Timothy J. O’Donnell, Alessandro Sordoni, Aaron Courville
    http://arxiv.org/abs/2010.04704v1

    • [cs.CL]Scaling Systematic Literature Reviews with Machine Learning Pipelines
    Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison, Karen Smyth
    http://arxiv.org/abs/2010.04665v1

    • [cs.CL]Self-Paced Learning for Neural Machine Translation
    Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang, Boxing Chen
    http://arxiv.org/abs/2010.04505v1

    • [cs.CL]Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
    Jin Cao, Jun Wang, Wael Hamza, Kelly Vanee, Shang-Wen Li
    http://arxiv.org/abs/2010.04355v1

    • [cs.CL]Token-level Adaptive Training for Neural Machine Translation
    Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu
    http://arxiv.org/abs/2010.04380v1

    • [cs.CL]Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models
    Pierangelo Lombardo, Alessio Boiardi, Luca Colombo, Angelo Schiavone, Nicolò Tamagnone
    http://arxiv.org/abs/2010.04486v1

    • [cs.CL]Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
    João A. Leite, Diego F. Silva, Kalina Bontcheva, Carolina Scarton
    http://arxiv.org/abs/2010.04543v1

    • [cs.CL]Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty
    Katherine A. Keith, Christoph Teichmann, Brendan O’Connor, Edgar Meij
    http://arxiv.org/abs/2010.04706v1

    • [cs.CL]Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
    Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Luxi Xing, Weihua Luo
    http://arxiv.org/abs/2010.04411v1

    • [cs.CL]What Have We Achieved on Text Summarization?
    Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang
    http://arxiv.org/abs/2010.04529v1

    • [cs.CL]Word Level Language Identification in English Telugu Code Mixed Data
    Sunil Gundapu, Radhika Mamidi
    http://arxiv.org/abs/2010.04482v1

    • [cs.CL]comp-syn: Perceptually Grounded Word Embeddings with Color
    Bhargav Srinivasa Desikan, Tasker Hull, Ethan O. Nadler, Douglas Guilbeault, Aabir Abubaker Kar, Mark Chu, Donald Ruggiero Lo Sardo
    http://arxiv.org/abs/2010.04292v1

    • [cs.CL]gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data
    Sunil Gundapu, Radhika Mamidi
    http://arxiv.org/abs/2010.04395v1

    • [cs.CL]iobes: A Library for Span-Level Processing
    Brian Lester
    http://arxiv.org/abs/2010.04373v1

    • [cs.CR]Weaponizing Unicodes with Deep Learning — Identifying Homoglyphs with Weakly Labeled Data
    Perry Deng, Cooper Linsky, Matthew Wright
    http://arxiv.org/abs/2010.04382v1

    • [cs.CV]A Novel ANN Structure for Image Recognition
    Shilpa Mayannavar, Uday Wali, V M Aparanji
    http://arxiv.org/abs/2010.04586v1

    • [cs.CV]A deep learning based interactive sketching system for fashion images design
    Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
    http://arxiv.org/abs/2010.04413v1

    • [cs.CV]Addressing the Real-world Class Imbalance Problem in Dermatology
    Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu
    http://arxiv.org/abs/2010.04308v1

    • [cs.CV]Background Learnable Cascade for Zero-Shot Object Detection
    Ye Zheng, Ruoran Huang, Chuanqi Han, Xi Huang, Li Cui
    http://arxiv.org/abs/2010.04502v1

    • [cs.CV]Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
    Mahdi Ghorbani, Fahimeh Fooladgar, Shohreh Kasaei
    http://arxiv.org/abs/2010.04516v1

    • [cs.CV]Contralaterally Enhanced Networks for Thoracic Disease Detection
    Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu
    http://arxiv.org/abs/2010.04483v1

    • [cs.CV]Controllable Continuous Gaze Redirection
    Weihao Xia, Yujiu Yang, Jing-Hao Xue, Wensen Feng
    http://arxiv.org/abs/2010.04513v1

    • [cs.CV]Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder
    Zhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley
    http://arxiv.org/abs/2010.04363v1

    • [cs.CV]Deep Sequence Learning for Video Anticipation: From Discrete and Deterministic to Continuous and Stochastic
    Sadegh Aliakbarian
    http://arxiv.org/abs/2010.04368v1

    • [cs.CV]Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
    Xin Feng, Wenjie Pei, Zihui Jia, David Zhang, Guangming Lu
    http://arxiv.org/abs/2010.04324v1

    • [cs.CV]DeepStreet: A deep learning powered urban street network generation module
    Zhou Fang, Tianren Yang, Ying Jin
    http://arxiv.org/abs/2010.04365v1

    • [cs.CV]Efficient Real-Time Radial Distortion Correction for UAVs
    Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden
    http://arxiv.org/abs/2010.04203v1

    • [cs.CV]Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves
    Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy Aly, Anas Salah Eddin
    http://arxiv.org/abs/2010.04225v1

    • [cs.CV]Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
    Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
    http://arxiv.org/abs/2010.04257v1

    • [cs.CV]GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
    Alex Trevithick, Bo Yang
    http://arxiv.org/abs/2010.04595v1

    • [cs.CV]Generating Novel Glyph without Human Data by Learning to Communicate
    Seung-won Park
    http://arxiv.org/abs/2010.04402v1

    • [cs.CV]Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
    Min Zhao, Tiande Gao, Jie Chen, Wei Chen
    http://arxiv.org/abs/2010.04611v1

    • [cs.CV]Incorporating planning intelligence into deep learning: A planning support tool for street network design
    Zhou Fang, Ying Jin, Tianren Yang
    http://arxiv.org/abs/2010.04536v1

    • [cs.CV]Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
    L. Chauvin, M. Ben Lazreg, J. B. Carluer, W. Wells, M. Toews
    http://arxiv.org/abs/2010.04283v1

    • [cs.CV]Learning 3D Face Reconstruction with a Pose Guidance Network
    Pengpeng Liu, Xintong Han, Michael Lyu, Irwin King, Jia Xu
    http://arxiv.org/abs/2010.04384v1

    • [cs.CV]Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system
    Jia-Yi Chang, Yan-Feng Lu, Ya-Jun Liu, Bo Zhou, Hong Qiao
    http://arxiv.org/abs/2010.04421v1

    • [cs.CV]MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects
    Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, Joseph E. Gonzalez, Ken Goldberg
    http://arxiv.org/abs/2010.04339v1

    • [cs.CV]Once Quantized for All: Progressively Searching for Quantized Efficient Models
    Mingzhu Shen, Feng Liang, Chuming Li, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2010.04354v1

    • [cs.CV]Real Time Face Recognition Using Convoluted Neural Networks
    Rohith Pudari, Sunil Bhutada, Sai Pavan Mudavath
    http://arxiv.org/abs/2010.04517v1

    • [cs.CV]Real-time Mask Detection on Google Edge TPU
    Keondo Park, Wonyoung Jang, Woochul Lee, Kisung Nam, Kihong Seong, Kyuwook Chai, Wen-Syan Li
    http://arxiv.org/abs/2010.04427v1

    • [cs.CV]Refinement of Predicted Missing Parts Enhance Point Cloud Completion
    Alexis Mendoza, Alexander Apaza, Ivan Sipiran, Cristian Lopez
    http://arxiv.org/abs/2010.04278v1

    • [cs.CV]Robust Instance Tracking via Uncertainty Flow
    Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held
    http://arxiv.org/abs/2010.04367v1

    • [cs.CV]Robust Isometric Non-Rigid Structure-from-Motion
    Shaifali Parashar, Adrien Bartoli, Daniel Pizarro
    http://arxiv.org/abs/2010.04690v1

    • [cs.CV]Table Structure Recognition using Top-Down and Bottom-Up Cues
    Sachin Raja, Ajoy Mondal, C. V. Jawahar
    http://arxiv.org/abs/2010.04565v1

    • [cs.CV]Targeted Attention Attack on Deep Learning Models in Road Sign Recognition
    Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
    http://arxiv.org/abs/2010.04331v1

    • [cs.CV]Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
    Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loic Landrieu
    http://arxiv.org/abs/2010.04642v1

    • [cs.CV]Uncertainty-Aware Few-Shot Image Classification
    Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang
    http://arxiv.org/abs/2010.04525v1

    • [cs.CV]gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis
    Sunil Gundapu, Radhika Mamidi
    http://arxiv.org/abs/2010.04470v1

    • [cs.CY]A policy and legal Open Science framework: a proposal
    Teresa Gomez-Diaz, Tomas Recio
    http://arxiv.org/abs/2010.04508v1

    • [cs.CY]Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
    Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2010.04560v1

    • [cs.CY]Facebook Ads: Politics of Migration in Italy
    Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, Andre Panisson, Daniela Paolotti
    http://arxiv.org/abs/2010.04458v1

    • [cs.CY]Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment
    Kevin Lin, Sumant Guha, Joe Spaniac, Andy Zheng
    http://arxiv.org/abs/2010.04671v1

    • [cs.CY]Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study
    Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2010.04693v1

    • [cs.CY]Standardized Tests and Affirmative Action: The Role of Bias and Variance
    Nikhil Garg, Hannah Li, Faidra Monachou
    http://arxiv.org/abs/2010.04396v1

    • [cs.CY]Unemployment Through the Lens of Social Media
    Alessandra Urbinati, Kyriaki Kalimeri, Andrea Bonanomi, Alessandro Rosina, Ciro Cattuto, Daniela Paolotti
    http://arxiv.org/abs/2010.04496v1

    • [cs.DC]A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
    Haikun Liu, Di Chen, Hai Jin, Xiaofei Liao, Bingsheng He, Kan Hu, Yu Zhang
    http://arxiv.org/abs/2010.04406v1

    • [cs.DC]A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
    Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
    http://arxiv.org/abs/2010.04414v1

    • [cs.DC]Analyzing HPC Support Tickets: Experience and Recommendations
    Alexandra DeLucia, Elisabeth Moore
    http://arxiv.org/abs/2010.04321v1

    • [cs.DC]Distributed Computing in a Pandemic: A Review of Technologies available for Tackling COVID-19
    Jamie J Alnasir
    http://arxiv.org/abs/2010.04700v1

    • [cs.DC]Gathering in Linear Time: A Closed Chain of Disoriented & Luminous Robots with Limited Visibility
    Jannik Castenow, Jonas Harbig, Daniel Jung, Till Knollmann, Friedhelm Meyer auf der Heide
    http://arxiv.org/abs/2010.04424v1

    • [cs.DC]Proactive Serverless Function Resource Management
    Erika Hunhoff, Shazal Irshad, Vijay Thurimella, Ali Tariq, Eric Rozner
    http://arxiv.org/abs/2010.04312v1

    • [cs.DC]Stand Up Indulgent Rendezvous
    Quentin Bramas, Anissa Lamani, Sébastien Tixeuil
    http://arxiv.org/abs/2010.04400v1

    • [cs.DS]Streaming Submodular Maximization with Fairness Constraints
    Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
    http://arxiv.org/abs/2010.04412v1

    • [cs.IR]Baseline and Triangulation Geometry in a Standard Plenoptic Camera
    Christopher Hahne, Amar Aggoun, Vladan Velisavljevic, Susanne Fiebig, Matthias Pesch
    http://arxiv.org/abs/2010.04638v1

    • [cs.IR]Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
    Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
    http://arxiv.org/abs/2010.04484v1

    • [cs.IT]An Overview on Multiway Relay Communications: Fundamental Issues, Recent Advances, and New Challenges
    Rui Wang, Xiaojun Yuan
    http://arxiv.org/abs/2010.04407v1

    • [cs.IT]Deterministic Identification Over Channels with Power Constraints
    Mohammad J. Salariseddigh, Uzi Pereg, Holger Boche, Christian Deppe
    http://arxiv.org/abs/2010.04239v1

    • [cs.IT]Hybrid Beamforming in 5G mmWave Networks: a Full-stack Perspective
    Felipe Gomez-Cuba, Tommaso Zugno, Junseok Kim, Michele Polese, Saewoong Bahk, Michele Zorzi
    http://arxiv.org/abs/2010.04220v1

    • [cs.IT]Low-Complexity ZF/MMSE Receivers for MIMO-OTFS Systems With Imperfect CSI
    Prem Singh, Abhishek Gupta, Himanshu B. Mishra, Rohit Budhiraja
    http://arxiv.org/abs/2010.04057v2

    • [cs.IT]New MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes over Finite Fields
    Junru Ma, Jinquan Luo
    http://arxiv.org/abs/2010.04329v1

    • [cs.IT]On the Transmission Probabilities in Quantum Key Distribution Systems over FSO Links
    Hui Zhao, Mohamed-Slim Alouini
    http://arxiv.org/abs/2010.04457v1

    • [cs.IT]Partially-Connected Hybrid Beamforming for Spectral Efficiency Maximization via a Weighted MMSE Equivalence
    Xingyu Zhao, Tian Lin, Yu Zhu, Jun Zhang
    http://arxiv.org/abs/2010.04537v1

    • [cs.IT]Performance Analysis of a Two-Tile Reconfigurable Intelligent Surface Assisted $2\times 2$ MIMO System
    Prathapasinghe Dharmawansa, Saman Atapattu, Marco Di Renzo
    http://arxiv.org/abs/2010.04294v1

    • [cs.IT]Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces
    George C. Alexandropoulos, Sumudu Samarakoon, Mehdi Bennis, Merouane Debbah
    http://arxiv.org/abs/2010.04376v1

    • [cs.IT]Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation
    Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush, Jean-Francois Chamberland, Krishna R. Narayanan
    http://arxiv.org/abs/2010.04364v1

    • [cs.LG]A Fully Tensorized Recurrent Neural Network
    Charles C. Onu, Jacob E. Miller, Doina Precup
    http://arxiv.org/abs/2010.04196v1

    • [cs.LG]Adaptive and Momentum Methods on Manifolds Through Trivializations
    Mario Lezcano-Casado
    http://arxiv.org/abs/2010.04617v1

    • [cs.LG]Affine-Invariant Robust Training
    Oriol Barbany Mayor
    http://arxiv.org/abs/2010.04216v1

    • [cs.LG]Algorithmic Frameworks for the Detection of High Density Anomalies
    Ralph Foorthuis
    http://arxiv.org/abs/2010.04705v1

    • [cs.LG]Approximating smooth functions by deep neural networks with sigmoid activation function
    Sophie Langer
    http://arxiv.org/abs/2010.04596v1

    • [cs.LG]Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
    Guohou Shan, James Foulds, Shimei Pan
    http://arxiv.org/abs/2010.04609v1

    • [cs.LG]Contrastive Learning with Hard Negative Samples
    Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
    http://arxiv.org/abs/2010.04592v1

    • [cs.LG]Deep Learning Meets Projective Clustering
    Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
    http://arxiv.org/abs/2010.04290v1

    • [cs.LG]Deep RL With Information Constrained Policies: Generalization in Continuous Control
    Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
    http://arxiv.org/abs/2010.04646v1

    • [cs.LG]Dirichlet Graph Variational Autoencoder
    Jia Li, Tomasyu Yu Jiajin Li, Honglei Zhang, Kangfei Zhao, YU Rong, Hong Cheng
    http://arxiv.org/abs/2010.04408v1

    • [cs.LG]Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
    Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie Wang, Rong Ge
    http://arxiv.org/abs/2010.04261v1

    • [cs.LG]EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
    Cédric Colas, Boris Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
    http://arxiv.org/abs/2010.04452v1

    • [cs.LG]Event Representation with Sequential, Semi-Supervised Discrete Variables
    Mohammad Mehdi Rezaee Taghiabadi, Francis Ferraro
    http://arxiv.org/abs/2010.04361v1

    • [cs.LG]Gini in a Bottleneck: Gotta Train Me the Right Way
    Ryan Henderson, Djork-Arné Clevert, Floriane Montanari
    http://arxiv.org/abs/2010.04535v1

    • [cs.LG]HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
    Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
    http://arxiv.org/abs/2010.04558v1

    • [cs.LG]Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning
    Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N Rosenthal, Mary Saltz, Joel Saltz, Fusheng Wang
    http://arxiv.org/abs/2010.04589v1

    • [cs.LG]Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
    Zhi Wang, Chunlin Chen, Daoyi Dong
    http://arxiv.org/abs/2010.04605v1

    • [cs.LG]Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients
    Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
    http://arxiv.org/abs/2010.04440v1

    • [cs.LG]Joint State-Action Embedding for Efficient Reinforcement Learning
    Paul J. Pritz, Liang Ma, Kin K. Leung
    http://arxiv.org/abs/2010.04444v1

    • [cs.LG]Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively
    Utkarsh Upadhyay, Graham Lancashire, Christoph Moser, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2010.04430v1

    • [cs.LG]Latent Dirichlet Allocation Model Training with Differential Privacy
    Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang
    http://arxiv.org/abs/2010.04391v1

    • [cs.LG]Learning Binary Trees via Sparse Relaxation
    Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
    http://arxiv.org/abs/2010.04627v1

    • [cs.LG]Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
    Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao
    http://arxiv.org/abs/2010.04647v1

    • [cs.LG]Learning not to learn: Nature versus nurture in silico
    Robert Tjarko Lange, Henning Sprekeler
    http://arxiv.org/abs/2010.04466v1

    • [cs.LG]Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
    Daniele Reda, Tianxin Tao, Michiel van de Panne
    http://arxiv.org/abs/2010.04304v1

    • [cs.LG]Linear Mode Connectivity in Multitask and Continual Learning
    Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur, Razvan Pascanu, Hassan Ghasemzadeh
    http://arxiv.org/abs/2010.04495v1

    • [cs.LG]Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution
    Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
    http://arxiv.org/abs/2010.04554v1

    • [cs.LG]Model Exploration with Cost-Aware Learning
    Namid Stillman, Igor Balazs, Sabine Hauert
    http://arxiv.org/abs/2010.04512v1

    • [cs.LG]Neural Random Projection: From the Initial Task To the Input Similarity Problem
    Alan Savushkin, Nikita Benkovich, Dmitry Golubev
    http://arxiv.org/abs/2010.04555v1

    • [cs.LG]Nonstationary Reinforcement Learning with Linear Function Approximation
    Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan
    http://arxiv.org/abs/2010.04244v1

    • [cs.LG]Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees
    Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
    http://arxiv.org/abs/2010.04420v1

    • [cs.LG]Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
    Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne
    http://arxiv.org/abs/2010.04715v1

    • [cs.LG]Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images
    Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó, Manuel González-Hidalgo
    http://arxiv.org/abs/2010.04511v1

    • [cs.LG]Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
    Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper
    http://arxiv.org/abs/2010.04683v1

    • [cs.LG]Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
    Anthony Tompkins, Rafael Oliveira, Fabio Ramos
    http://arxiv.org/abs/2010.04315v1

    • [cs.LG]Using Graph Neural Networks for Mass Spectrometry Prediction
    Hao Zhu, Liping Liu, Soha Hassoun
    http://arxiv.org/abs/2010.04661v1

    • [cs.MM]A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers
    Paulo R. C. Mendes, Eduardo S. Vieira, Álan L. V. Guedes, Antonio J. G. Busson, Sérgio Colcher
    http://arxiv.org/abs/2010.04676v1

    • [cs.MS]Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions
    Christos Psarras, Lars Karlsson, Paolo Bientinesi
    http://arxiv.org/abs/2010.04678v1

    • [cs.NE]Bioinspired Bipedal Locomotion Control for Humanoid Robotics Based on EACO
    Jingan Yang, Yang Peng
    http://arxiv.org/abs/2010.04463v1

    • [cs.NE]Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
    Thao N. N. Nguyen, Bharadwaj Veeravalli, Xuanyao Fong
    http://arxiv.org/abs/2010.04351v1

    • [cs.NE]Multi-Objective Optimisation of Multi-Output Neural Trees
    Varun Ojha, Giuseppe Nicosia
    http://arxiv.org/abs/2010.04524v1

    • [cs.NE]Scalable Many-Objective Pathfinding Benchmark Suite
    Jens Weise, Sanaz Mostaghim
    http://arxiv.org/abs/2010.04501v1

    • [cs.NE]Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
    Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo Xu
    http://arxiv.org/abs/2010.04434v1

    • [cs.NI]PsPIN: A high-performance low-power architecture for flexible in-network compute
    Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler
    http://arxiv.org/abs/2010.03536v2

    • [cs.RO]CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
    Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer
    http://arxiv.org/abs/2010.04296v1

    • [cs.RO]Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
    Daniel Hernández García, Yanchao Yu, Weronika Sieińska, Jose L. Part, Nancie Gunson, Oliver Lemon, Christian Dondrup
    http://arxiv.org/abs/2010.04570v1

    • [cs.RO]Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction
    Tom Weber, Stefan Wermter
    http://arxiv.org/abs/2010.04602v1

    • [cs.RO]LaND: Learning to Navigate from Disengagements
    Gregory Kahn, Pieter Abbeel, Sergey Levine
    http://arxiv.org/abs/2010.04689v1

    • [cs.RO]Lyapunov-Stable Orientation Estimator for Humanoid Robots
    Mehdi Benallegue, Rafael Cisneros, Abdelaziz Benallegue, Yacine Chitour, Mitsuharu Morisawa, Fumio Kanehiro
    http://arxiv.org/abs/2010.04401v1

    • [cs.RO]Mechanism Design of a Bio-inspired Armwing Mechanism for Mimicking Bat Flapping Gait
    E. Sihite, P. Kelly, A. Ramezani
    http://arxiv.org/abs/2010.04702v1

    • [cs.RO]Robust walking based on MPC with viability-based feasibility guarantees
    Mohammad Hasan Yeganegi, Majid Khadiv, Andrea Del Prete, S. Ali A. Moosavian, Ludovic Righetti
    http://arxiv.org/abs/2010.04514v1

    • [cs.RO]Task-Space Control Interface for SoftBank Humanoid Robots and its Human-Robot Interaction Applications
    Anastasia Bolotnikova, Pierre Gergondet, Arnaud Tanguy, Sébastien Courtois, Abderrahmane Kheddar
    http://arxiv.org/abs/2010.04573v1

    • [cs.RO]Towards Social HRI for Improving Children’s Healthcare Experiences
    Mary Ellen Foster, Ronald P. A. Petrick
    http://arxiv.org/abs/2010.04652v1

    • [cs.SD]Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN
    Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Toda
    http://arxiv.org/abs/2010.04429v1

    • [cs.SD]Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling
    Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu
    http://arxiv.org/abs/2010.04301v1

    • [cs.SE]Retrieve and Refine: Exemplar-based Neural Comment Generation
    Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
    http://arxiv.org/abs/2010.04459v1

    • [cs.SI]GitEvolve: Predicting the Evolution of GitHub Repositories
    Honglu Zhou, Hareesh Ravi, Carlos M. Muniz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia
    http://arxiv.org/abs/2010.04366v1

    • [cs.SI]Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter
    Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty
    http://arxiv.org/abs/2010.04377v1

    • [econ.EM]Sparse network asymptotics for logistic regression
    Bryan S. Graham
    http://arxiv.org/abs/2010.04703v1

    • [eess.AS]Audio-Visual Speech Inpainting with Deep Learning
    Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, Jesper Jensen
    http://arxiv.org/abs/2010.04556v1

    • [eess.AS]The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders
    Wen-Chin Huang, Patrick Lumban Tobing, Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Toda
    http://arxiv.org/abs/2010.04446v1

    • [eess.IV]Attaining Real-Time Super-Resolution for Microscopic Images Using GAN
    Vibhu Bhatia, Yatender Kumar
    http://arxiv.org/abs/2010.04634v1

    • [eess.IV]PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
    Farzin Negahbani, Rasool Sabzi, Bita Pakniyat Jahromi, Fatemeh Movahedi, Mahsa Kohandel Shirazi, Shayan Majidi, Dena Firouzabadi, Amirreza Dehganian
    http://arxiv.org/abs/2010.04713v1

    • [eess.IV]Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
    Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu
    http://arxiv.org/abs/2010.04428v1

    • [eess.IV]Unsupervised 3D Brain Anomaly Detection
    Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima
    http://arxiv.org/abs/2010.04717v1

    • [eess.IV]WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
    Sebastian R. van der Voort, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Rishi Nandoe Tewarie, Geert J. Lycklama, Philip C. De Witt Hamer, Roelant S. Eijgelaar, Pim J. French, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Wiro J. Niessen, Martin J. van den Bent, Marion Smits, Stefan Klein
    http://arxiv.org/abs/2010.04425v1

    • [eess.SY]MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression
    Leon Yan, Nathan Banka, Parker Owan, Walter Tony Piaskowy, Joseph Garbini, Santosh Devasia
    http://arxiv.org/abs/2010.04487v1

    • [gr-qc]Genetic-algorithm-optimized neural networks for gravitational wave classification
    Dwyer S. Deighan, Scott E. Field, Collin D. Capano, Gaurav Khanna
    http://arxiv.org/abs/2010.04340v1

    • [math.FA]Hilbert valued fractionally integrated autoregressive moving average processes with long memory operators
    Amaury Durand, François Roueff
    http://arxiv.org/abs/2010.04399v1

    • [math.ST]A new generalization of the geometric distribution using Azzalini’s mechanism: properties and application
    Seng Huat Ong, Subrata Chakraborty, Aniket Biswas
    http://arxiv.org/abs/2010.04507v1

    • [math.ST]Adaptive spectral density estimation by model selection under local differential privacy
    Martin Kroll
    http://arxiv.org/abs/2010.04218v1

    • [math.ST]Exact Minimax Estimation for Phase Synchronization
    Chao Gao, Anderson Y. Zhang
    http://arxiv.org/abs/2010.04345v1

    • [math.ST]The Unit-Gompertz Distribution: Characterizations and Properties
    M Z Anis
    http://arxiv.org/abs/2010.04347v1

    • [physics.data-an]MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler
    Shashank Kumbhare, Amir Shahmoradi
    http://arxiv.org/abs/2010.04190v1

    • [physics.flu-dyn]Physical invariance in neural networks for subgrid-scale scalar flux modeling
    Hugo Frezat, Guillaume Balarac, Julien Le Sommer, Ronan Fablet, Redouane Lguensat
    http://arxiv.org/abs/2010.04663v1

    • [q-fin.ST]Roughness in spot variance? A GMM approach for estimation of fractional log-normal stochastic volatility models using realized measures
    Anine E. Bolko, Kim Christensen, Mikko S. Pakkanen, Bezirgen Veliyev
    http://arxiv.org/abs/2010.04610v1

    • [quant-ph]SchWARMA: A model-based approach for time-correlated noise in quantum circuits
    Kevin Schultz, Gregory Quiroz, Paraj Titum, B. D. Clader
    http://arxiv.org/abs/2010.04580v1

    • [stat.AP]Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management
    Lorenzo Tomaselli, Coty Jen, Ann B. Lee
    http://arxiv.org/abs/2010.04651v1

    • [stat.ME]A Mechanistic Model of Annual Sulfate Concentrations in the United States
    Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman, Corwin M. Zigler
    http://arxiv.org/abs/2010.04253v1

    • [stat.ME]Asymmetric prior in wavelet shrinkage
    Alex Rodrigo dos Santos Sousa
    http://arxiv.org/abs/2010.04666v1

    • [stat.ME]Autoregressive Networks
    Binyan Jiang, Jailing Li, Qiwei Yao
    http://arxiv.org/abs/2010.04492v1

    • [stat.ME]Causal inference for semi-competing risks data
    Daniel Nevo, Malka Gorfine
    http://arxiv.org/abs/2010.04485v1

    • [stat.ME]False Discovery Rate Computation: Illustrations and Modifications
    Megan Hollister Murray, Jeffrey D. Blume
    http://arxiv.org/abs/2010.04680v1

    • [stat.ME]Principal Component Analysis using Frequency Components of Multivariate Time Series
    Raanju R. Sundararajan
    http://arxiv.org/abs/2010.04515v1

    • [stat.ME]Uniform Deconvolution for Poisson Point Processes
    Anna Bonnet, Claire Lacour, Franck Picard, Vincent Rivoirard
    http://arxiv.org/abs/2010.04557v1

    • [stat.ML]Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
    Vincent Le Guen, Yuan Yin, Jérémie Dona, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari
    http://arxiv.org/abs/2010.04456v1

    • [stat.ML]Few-shot Learning for Spatial Regression
    Tomoharu Iwata, Yusuke Tanaka
    http://arxiv.org/abs/2010.04360v1

    • [stat.ML]Handling Imbalanced Data: A Case Study for Binary Class Problems
    Richmond Addo Danquah
    http://arxiv.org/abs/2010.04326v1

    • [stat.ML]Neural Networks as Functional Classifiers
    Barinder Thind, Kevin Multani, Jiguo Cao
    http://arxiv.org/abs/2010.04305v1

    • [stat.ML]Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids
    Tong Ma, David Alonso Barajas-Solano, Ramakrishna Tipireddy, Alexandre M. Tartakovsky
    http://arxiv.org/abs/2010.04591v1