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