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.ET - 新兴技术 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 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.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-fin.TR - 贸易与市场微观结构 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]Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanab
• [cs.AI]How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
• [cs.AI]Multi-View Attention Networks for Visual Dialog
• [cs.AI]Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning
• [cs.AI]Versatile Black-Box Optimization
• [cs.CL]A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging
• [cs.CL]A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
• [cs.CL]Active Learning for Coreference Resolution using Discrete Annotation
• [cs.CL]Adversarial Subword Regularization for Robust Neural Machine Translation
• [cs.CL]Analysing Lexical Semantic Change with Contextualised Word Representations
• [cs.CL]Analyzing Political Parody in Social Media
• [cs.CL]Automatically Identifying Gender Issues in Machine Translation using Perturbations
• [cs.CL]Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation
• [cs.CL]AxCell: Automatic Extraction of Results from Machine Learning Papers
• [cs.CL]Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing
• [cs.CL]Benchmarking Robustness of Machine Reading Comprehension Models
• [cs.CL]Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
• [cs.CL]Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
• [cs.CL]Conspiracy in the Time of Corona: Automatic detection of Covid-19 Conspiracy Theories in Social Media and the News
• [cs.CL]Data Augmentation for Spoken Language Understanding via Pretrained Models
• [cs.CL]Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
• [cs.CL]Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
• [cs.CL]Detecting Perceived Emotions in Hurricane Disasters
• [cs.CL]Do Neural Language Models Show Preferences for Syntactic Formalisms?
• [cs.CL]DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
• [cs.CL]Don’t Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation
• [cs.CL]Empower Entity Set Expansion via Language Model Probing
• [cs.CL]End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
• [cs.CL]Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
• [cs.CL]Entity Candidate Network for Whole-Aware Named Entity Recognition
• [cs.CL]Evaluating Dialogue Generation Systems via Response Selection
• [cs.CL]Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification
• [cs.CL]Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
• [cs.CL]Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
• [cs.CL]Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships
• [cs.CL]GePpeTto Carves Italian into a Language Model
• [cs.CL]General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
• [cs.CL]Generating Safe Diversity in NLG via Imitation Learning
• [cs.CL]How Chaotic Are Recurrent Neural Networks?
• [cs.CL]Informational Space of Meaning for Scientific Texts
• [cs.CL]Interpretable Multimodal Routing for Human Multimodal Language
• [cs.CL]LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space
• [cs.CL]Learning Better Universal Representations from Pre-trained Contextualized Language Models
• [cs.CL]Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
• [cs.CL]Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
• [cs.CL]Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
• [cs.CL]Measuring Information Propagation in Literary Social Networks
• [cs.CL]Meta-Transfer Learning for Code-Switched Speech Recognition
• [cs.CL]Modeling Long Context for Task-Oriented Dialogue State Generation
• [cs.CL]Morphological Disambiguation of South Sámi with FSTs and Neural Networks
• [cs.CL]Multi-choice Dialogue-Based Reading Comprehension with Knowledge and Key Turns
• [cs.CL]Multiscale Collaborative Deep Models for Neural Machine Translation
• [cs.CL]Normalizing Compositional Structures Across Graphbanks
• [cs.CL]Politeness Transfer: A Tag and Generate Approach
• [cs.CL]Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
• [cs.CL]Revisiting Pre-Trained Models for Chinese Natural Language Processing
• [cs.CL]Revisiting Round-Trip Translation for Quality Estimation
• [cs.CL]Span-based Localizing Network for Natural Language Video Localization
• [cs.CL]SubjQA: A Dataset for Subjectivity and Review Comprehension
• [cs.CL]Synonymy = Translational Equivalence
• [cs.CL]Syntax-aware Data Augmentation for Neural Machine Translation
• [cs.CL]TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
• [cs.CL]ToTTo: A Controlled Table-To-Text Generation Dataset
• [cs.CL]Towards Character-Level Transformer NMT by Finetuning Subword Systems
• [cs.CL]Towards Prediction Explainability through Sparse Communication
• [cs.CL]Towards Transparent and Explainable Attention Models
• [cs.CL]UDapter: Language Adaptation for Truly Universal Dependency Parsing
• [cs.CL]UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
• [cs.CL]Utterance Pair Scoring for Noisy Dialogue Data Filtering
• [cs.CL]Zero-shot topic generation
• [cs.CR]Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
• [cs.CR]Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports
• [cs.CR]User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing
• [cs.CV]Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context
• [cs.CV]Assessing Car Damage using Mask R-CNN
• [cs.CV]Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
• [cs.CV]Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
• [cs.CV]Deep Transfer Learning For Plant Center Localization
• [cs.CV]Deepfake Video Forensics based on Transfer Learning
• [cs.CV]Deflating Dataset Bias Using Synthetic Data Augmentation
• [cs.CV]DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
• [cs.CV]Do We Need Fully Connected Output Layers in Convolutional Networks?
• [cs.CV]Editing in Style: Uncovering the Local Semantics of GANs
• [cs.CV]Effective Human Activity Recognition Based on Small Datasets
• [cs.CV]Image Captioning through Image Transformer
• [cs.CV]Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
• [cs.CV]Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
• [cs.CV]Motion Guided 3D Pose Estimation from Videos
• [cs.CV]Pyramid Attention Networks for Image Restoration
• [cs.CV]Retinal vessel segmentation by probing adaptive to lighting variations
• [cs.CV]Single-Side Domain Generalization for Face Anti-Spoofing
• [cs.CV]Skeleton Focused Human Activity Recognition in RGB Video
• [cs.CV]Tensor train rank minimization with nonlocal self-similarity for tensor completion
• [cs.CV]VD-BERT: A Unified Vision and Dialog Transformer with BERT
• [cs.CV]VGGSound: A Large-scale Audio-Visual Dataset
• [cs.CV]Video Contents Understanding using Deep Neural Networks
• [cs.CV]Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
• [cs.CY]A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
• [cs.CY]Advancing computerized cognitive training for early Alzheimer’s disease in a pandemic and post-pandemic world
• [cs.CY]Ethnic Diversity in Computer Science at a Large Public R1 Research University
• [cs.CY]Gender Diversity in Computer Science at a Large Research University
• [cs.DC]Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra
• [cs.DS]Learning Polynomials of Few Relevant Dimensions
• [cs.ET]A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
• [cs.ET]Parameter Estimation in a Noisy 1D Environment via Two Absorbing Receivers
• [cs.GR]A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling
• [cs.GR]Image Morphing with Perceptual Constraints and STN Alignment
• [cs.GR]Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance
• [cs.HC]A Review of Surface Haptics:Enabling Tactile Effects on Touch Surfaces
• [cs.HC]FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults
• [cs.IR]Complementing Lexical Retrieval with Semantic Residual Embedding
• [cs.IR]Conversations with Search Engines
• [cs.IR]Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
• [cs.IR]Expansion via Prediction of Importance with Contextualization
• [cs.IR]Topic Propagation in Conversational Search
• [cs.IR]Training Curricula for Open Domain Answer Re-Ranking
• [cs.IT]6G White Paper on Machine Learning in Wireless Communication Networks
• [cs.IT]Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes
• [cs.IT]Families of sequences with good family complexity and cross-correlation measure
• [cs.IT]Lifted codes and the multilevel construction for constant dimension codes
• [cs.IT]Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication
• [cs.IT]Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality
• [cs.LG]Batch Normalization in Quantized Networks
• [cs.LG]DS-FACTO: Doubly Separable Factorization Machines
• [cs.LG]Deep Reinforcement Learning with Graph-based State Representations
• [cs.LG]Directed Graph Convolutional Network
• [cs.LG]Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
• [cs.LG]Extended Coopetitive Soft Gating Ensemble
• [cs.LG]Fractional norms and quasinorms do not help to overcome the curse of dimensionality
• [cs.LG]Minority Reports Defense: Defending Against Adversarial Patches
• [cs.LG]Neural Additive Models: Interpretable Machine Learning with Neural Nets
• [cs.LG]Neural Network Retraining for Model Serving
• [cs.LG]On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization
• [cs.LG]Quantized Adam with Error Feedback
• [cs.LG]Reducing catastrophic forgetting with learning on synthetic data
• [cs.LG]Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs
• [cs.LG]Streamlining Tensor and Network Pruning in PyTorch
• [cs.LG]Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
• [cs.LG]Valid Explanations for Learning to Rank Models
• [cs.LG]WoodFisher: Efficient second-order approximations for model compression
• [cs.LO]Mixing Probabilistic and non-Probabilistic Objectives in Markov Decision Processes
• [cs.LO]Towards Faster Reasoners By Using Transparent Huge Pages
• [cs.NE]Multi-layer local optima networks for the analysis of advanced local search-based algorithms
• [cs.NI]Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling
• [cs.NI]DeCoRIC: Decentralized Connected Resilient IoT Clustering
• [cs.NI]Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
• [cs.RO]A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
• [cs.RO]A Swarm of Simple Robots Constructing Planar Shapes
• [cs.RO]Actor-Critic Reinforcement Learning for Control with Stability Guarantee
• [cs.RO]DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
• [cs.RO]End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
• [cs.RO]Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification
• [cs.RO]Performance satisfaction in Harpy, a thruster-assisted bipedal robot
• [cs.RO]Task Dynamics of Prior Training Influence Visual Force Estimation Ability During Teleoperation of a Minimally Invasive Surgical Robot
• [cs.RO]Unmanned Aerial Systems for Wildland and Forest Fires: Sensing, Perception, Cooperation and Assistance
• [cs.RO]Voxgraph: Globally Consistent, Volumetric Mapping using Signed Distance Function Submaps
• [cs.SD]Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision
• [cs.SE]Fast and Memory-Efficient Neural Code Completion
• [cs.SI]A methodology to evaluate the evolution of networks using topological data analysis
• [cs.SI]CoronaVis: A Real-time COVID-19 Tweets Analyzer
• [cs.SI]Privacy-Preserving Recommender Systems Challenge on Twitter’s Home Timeline
• [econ.GN]Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description
• [eess.IV]A Fast 3D CNN for Hyperspectral Image Classification
• [eess.IV]An Auto-Encoder Strategy for Adaptive Image Segmentation
• [eess.IV]Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images
• [eess.IV]The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
• [eess.SP]EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition
• [eess.SP]Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems
• [eess.SY]TS-MPC for Autonomous Vehicle using a Learning Approach
• [math.CO]On the weight distribution of some minimal codes
• [math.OC]Autoregressive Identification of Kronecker Graphical Models
• [math.OC]Enhancements to the DIDO Optimal Control Toolbox
• [math.OC]Search strategy in a complex and dynamic environment: the MH370 case
• [math.ST]Adaptive tests for parameter changes in ergodic diffusion processes from discrete observations
• [math.ST]Asymptotic Properties of High-Dimensional Random Forests
• [math.ST]Dependence in elliptical partial correlation graphs
• [math.ST]On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models
• [physics.ao-ph]Drivers of carbon fluxes in Alpine tundra: a comparison of three empirical model approaches
• [physics.chem-ph]Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning
• [physics.soc-ph]Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election
• [physics.soc-ph]Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
• [q-bio.GN]Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
• [q-fin.TR]A Stochastic LQR Model for Child Order Placement in Algorithmic Trading
• [quant-ph]Insights on Training Neural Networks for QUBO Tasks
• [quant-ph]Provably-secure symmetric private information retrieval with quantum cryptography
• [quant-ph]The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
• [stat.AP]A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
• [stat.AP]Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles
• [stat.AP]Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
• [stat.ME]A generalized information criterion for high-dimensional PCA rank selection
• [stat.ME]Bayesian Model Selection on Random Networks
• [stat.ME]Energy Balancing of Covariate Distributions
• [stat.ME]Estimation of ascertainment bias and its effect on power in clinical trials with time-to-event outcomes
• [stat.ME]Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework
• [stat.ME]Joint Likelihood-based Principal Components Regression
• [stat.ME]MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
• [stat.ME]Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
• [stat.ME]Nonparametric sequential change-point detection for multivariate time series based on empirical distribution functions
• [stat.ME]Objective priors for divergence-based robust estimation
• [stat.ME]Optimal Designs for Kriging Models with Multiple Responses
• [stat.ME]Optimal Study Design for Reducing Variances of Coefficient Estimators in Change-Point Models
• [stat.ME]Permutation tests under a rotating sampling plan with clustered data
• [stat.ME]Static and Dynamic Models for Multivariate Distribution Forecasts: Proper Scoring Rule Tests of Factor-Quantile vs. Multivariate GARCH Models
• [stat.ML]A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
• [stat.ML]Continual Deep Learning by Functional Regularisation of Memorable Past
• [stat.ML]Metric learning by Similarity Network for Deep Semi-Supervised Learning
• [stat.ML]Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
• [stat.ML]Quantum-inspired Machine Learning on high-energy physics data
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• [cs.AI]Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanab
Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
http://arxiv.org/abs/2004.13710v1
• [cs.AI]How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D’Oro, Wojciech Jaśkowski
http://arxiv.org/abs/2004.14309v1
• [cs.AI]Multi-View Attention Networks for Visual Dialog
Sungjin Park, Taesun Whang, Yeochan Yoon, Hueiseok Lim
http://arxiv.org/abs/2004.14025v1
• [cs.AI]Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning
Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang
http://arxiv.org/abs/2004.14254v1
• [cs.AI]Versatile Black-Box Optimization
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Roziere, Jeremy Rapin, Fabien Teytaud, Olivier Teytaud
http://arxiv.org/abs/2004.14014v1
• [cs.CL]A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging
Shabnam Behzad, Amir Zeldes
http://arxiv.org/abs/2004.14312v1
• [cs.CL]A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
Shanchan Wu, Kai Fan
http://arxiv.org/abs/2004.13786v1
• [cs.CL]Active Learning for Coreference Resolution using Discrete Annotation
Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer
http://arxiv.org/abs/2004.13671v2
• [cs.CL]Adversarial Subword Regularization for Robust Neural Machine Translation
Jungsoo Park, Mujeen Sung, Jinhyuk Lee, Jaewoo Kang
http://arxiv.org/abs/2004.14109v1
• [cs.CL]Analysing Lexical Semantic Change with Contextualised Word Representations
Mario Giulianelli, Marco Del Tredici, Raquel Fernández
http://arxiv.org/abs/2004.14118v1
• [cs.CL]Analyzing Political Parody in Social Media
Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras
http://arxiv.org/abs/2004.13878v1
• [cs.CL]Automatically Identifying Gender Issues in Machine Translation using Perturbations
Hila Gonen, Kellie Webster
http://arxiv.org/abs/2004.14065v1
• [cs.CL]Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation
James Thorne, Andreas Vlachos
http://arxiv.org/abs/2004.14366v1
• [cs.CL]AxCell: Automatic Extraction of Results from Machine Learning Papers
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
http://arxiv.org/abs/2004.14356v1
• [cs.CL]Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing
Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh
http://arxiv.org/abs/2004.13945v1
• [cs.CL]Benchmarking Robustness of Machine Reading Comprehension Models
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
http://arxiv.org/abs/2004.14004v1
• [cs.CL]Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut
http://arxiv.org/abs/2004.14338v1
• [cs.CL]Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
Zhengyuan Liu, Ke Shi, Nancy Chen
http://arxiv.org/abs/2004.13983v1
• [cs.CL]Conspiracy in the Time of Corona: Automatic detection of Covid-19 Conspiracy Theories in Social Media and the News
Shadi Shahsavari, Pavan Holur, Timothy R. Tangherlini, Vwani Roychowdhury
http://arxiv.org/abs/2004.13783v1
• [cs.CL]Data Augmentation for Spoken Language Understanding via Pretrained Models
Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao
http://arxiv.org/abs/2004.13952v1
• [cs.CL]Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao
http://arxiv.org/abs/2004.14088v1
• [cs.CL]Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon
Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
http://arxiv.org/abs/2004.14357v1
• [cs.CL]Detecting Perceived Emotions in Hurricane Disasters
Shrey Desai, Cornelia Caragea, Junyi Jessy Li
http://arxiv.org/abs/2004.14299v1
• [cs.CL]Do Neural Language Models Show Preferences for Syntactic Formalisms?
Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre
http://arxiv.org/abs/2004.14096v1
• [cs.CL]DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
http://arxiv.org/abs/2004.13816v1
• [cs.CL]Don’t Neglect the Obvious: On the Role of Unambiguous Words in Word Sense Disambiguation
Daniel Loureiro, Jose Camacho-Collados
http://arxiv.org/abs/2004.14325v1
• [cs.CL]Empower Entity Set Expansion via Language Model Probing
Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han
http://arxiv.org/abs/2004.13897v1
• [cs.CL]End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
Weijia Xu, Batool Haider, Saab Mansour
http://arxiv.org/abs/2004.14353v1
• [cs.CL]Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang
http://arxiv.org/abs/2004.14069v1
• [cs.CL]Entity Candidate Network for Whole-Aware Named Entity Recognition
Wendong He, Yizhen Shao, Pingjian Zhang
http://arxiv.org/abs/2004.14145v1
• [cs.CL]Evaluating Dialogue Generation Systems via Response Selection
Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui
http://arxiv.org/abs/2004.14302v1
• [cs.CL]Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification
Sophie Groenwold, Samhita Honnavalli, Lily Ou, Aesha Parekh, Sharon Levy, Diba Mirza, William Yang Wang
http://arxiv.org/abs/2004.13939v1
• [cs.CL]Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen
http://arxiv.org/abs/2004.14224v1
• [cs.CL]Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Zihan Liu, Genta Indra Winata, Andrea Madotto, Pascale Fung
http://arxiv.org/abs/2004.14218v1
• [cs.CL]Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships
Epaminondas Kapetanios, Vijayan Sugumaran, Anastassia Angelopoulou
http://arxiv.org/abs/2004.14265v1
• [cs.CL]GePpeTto Carves Italian into a Language Model
Lorenzo De Mattei, Michele Cafagna, Felice Dell’Orletta, Malvina Nissim, Marco Guerini
http://arxiv.org/abs/2004.14253v1
• [cs.CL]General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference
Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov
http://arxiv.org/abs/2004.14287v1
• [cs.CL]Generating Safe Diversity in NLG via Imitation Learning
Giulio Zhou, Gerasimos Lampouras
http://arxiv.org/abs/2004.14364v1
• [cs.CL]How Chaotic Are Recurrent Neural Networks?
Pourya Vakilipourtakalou, Lili Mou
http://arxiv.org/abs/2004.13838v1
• [cs.CL]Informational Space of Meaning for Scientific Texts
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
http://arxiv.org/abs/2004.13717v1
• [cs.CL]Interpretable Multimodal Routing for Human Multimodal Language
Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Ruslan Salakhutdinov, Louis-Philippe Morency
http://arxiv.org/abs/2004.14198v1
• [cs.CL]LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space
Tasnim Mohiuddin, M Saiful Bari, Shafiq Joty
http://arxiv.org/abs/2004.13889v1
• [cs.CL]Learning Better Universal Representations from Pre-trained Contextualized Language Models
Yian Li, Hai Zhao
http://arxiv.org/abs/2004.13947v1
• [cs.CL]Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
António Góis, Kyunghyun Cho, André Martins
http://arxiv.org/abs/2004.14120v1
• [cs.CL]Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
http://arxiv.org/abs/2004.14355v1
• [cs.CL]Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou
http://arxiv.org/abs/2004.14201v1
• [cs.CL]Measuring Information Propagation in Literary Social Networks
Matthew Sims, David Bamman
http://arxiv.org/abs/2004.13980v1
• [cs.CL]Meta-Transfer Learning for Code-Switched Speech Recognition
Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung
http://arxiv.org/abs/2004.14228v1
• [cs.CL]Modeling Long Context for Task-Oriented Dialogue State Generation
Jun Quan, Deyi Xiong
http://arxiv.org/abs/2004.14080v1
• [cs.CL]Morphological Disambiguation of South Sámi with FSTs and Neural Networks
Mika Hämäläinen, Linda Wiechetek
http://arxiv.org/abs/2004.14062v1
• [cs.CL]Multi-choice Dialogue-Based Reading Comprehension with Knowledge and Key Turns
Junlong Li, Zhuosheng Zhang, Hai Zhao
http://arxiv.org/abs/2004.13988v1
• [cs.CL]Multiscale Collaborative Deep Models for Neural Machine Translation
Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng, Weihua Luo
http://arxiv.org/abs/2004.14021v1
• [cs.CL]Normalizing Compositional Structures Across Graphbanks
Lucia Donatelli, Jonas Groschwitz, Alexander Koller, Matthias Lindemann, Pia Weißenhorn
http://arxiv.org/abs/2004.14236v1
• [cs.CL]Politeness Transfer: A Tag and Generate Approach
Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black, Shrimai Prabhumoye
http://arxiv.org/abs/2004.14257v1
• [cs.CL]Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Alexandre Tamborrino, Nicola Pellicano, Baptiste Pannier, Pascal Voitot, Louise Naudin
http://arxiv.org/abs/2004.14074v1
• [cs.CL]Revisiting Pre-Trained Models for Chinese Natural Language Processing
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
http://arxiv.org/abs/2004.13922v1
• [cs.CL]Revisiting Round-Trip Translation for Quality Estimation
Jihyung Moon, Hyunchang Cho, Eunjeong L. Park
http://arxiv.org/abs/2004.13937v1
• [cs.CL]Span-based Localizing Network for Natural Language Video Localization
Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou
http://arxiv.org/abs/2004.13931v1
• [cs.CL]SubjQA: A Dataset for Subjectivity and Review Comprehension
Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein
http://arxiv.org/abs/2004.14283v1
• [cs.CL]Synonymy = Translational Equivalence
Bradley Hauer, Grzegorz Kondrak
http://arxiv.org/abs/2004.13886v1
• [cs.CL]Syntax-aware Data Augmentation for Neural Machine Translation
Sufeng Duan, Hai Zhao, Dongdong Zhang, Rui Wang
http://arxiv.org/abs/2004.14200v1
• [cs.CL]TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
Chayma Fourati, Abir Messaoudi, Hatem Haddad
http://arxiv.org/abs/2004.14303v1
• [cs.CL]ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
http://arxiv.org/abs/2004.14373v1
• [cs.CL]Towards Character-Level Transformer NMT by Finetuning Subword Systems
Jindřich Libovický, Alexander Fraser
http://arxiv.org/abs/2004.14280v1
• [cs.CL]Towards Prediction Explainability through Sparse Communication
Marcos V. Treviso, André F. T. Martins
http://arxiv.org/abs/2004.13876v1
• [cs.CL]Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
http://arxiv.org/abs/2004.14243v1
• [cs.CL]UDapter: Language Adaptation for Truly Universal Dependency Parsing
Ahmet Üstün, Arianna Bisazza, Gosse Bouma, Gertjan van Noord
http://arxiv.org/abs/2004.14327v1
• [cs.CL]UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi
http://arxiv.org/abs/2004.14307v1
• [cs.CL]Utterance Pair Scoring for Noisy Dialogue Data Filtering
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
http://arxiv.org/abs/2004.14008v1
• [cs.CL]Zero-shot topic generation
Oleg Vasilyev, Kathryn Evans, Anna Venancio-Marques, John Bohannon
http://arxiv.org/abs/2004.13956v1
• [cs.CR]Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
Alex Habeen Chang, Benjamin M. Case
http://arxiv.org/abs/2004.13263v2
• [cs.CR]Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports
Valentine Legoy, Marco Caselli, Christin Seifert, Andreas Peter
http://arxiv.org/abs/2004.14322v1
• [cs.CR]User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing
Elissa M. Redmiles
http://arxiv.org/abs/2004.13219v2
• [cs.CV]Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool
http://arxiv.org/abs/2004.14251v1
• [cs.CV]Assessing Car Damage using Mask R-CNN
Sarath P, Soorya M, Shaik Abdul Rahman A, S Suresh Kumar, K Devaki
http://arxiv.org/abs/2004.14173v1
• [cs.CV]Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
http://arxiv.org/abs/2004.14010v1
• [cs.CV]Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Muhammad Saad Saeed, Shah Nawaz, Pietro Morerio, Arif Mahmood, Ignazio Gallo, Muhammad Haroon Yousaf, Alessio Del Bue
http://arxiv.org/abs/2004.13780v1
• [cs.CV]Deep Transfer Learning For Plant Center Localization
Enyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp
http://arxiv.org/abs/2004.13973v1
• [cs.CV]Deepfake Video Forensics based on Transfer Learning
Rahul U, Ragul M, Raja Vignesh K, Tejeswinee K
http://arxiv.org/abs/2004.14178v1
• [cs.CV]Deflating Dataset Bias Using Synthetic Data Augmentation
Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali
http://arxiv.org/abs/2004.13866v1
• [cs.CV]DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
http://arxiv.org/abs/2004.13458v2
• [cs.CV]Do We Need Fully Connected Output Layers in Convolutional Networks?
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan
http://arxiv.org/abs/2004.13587v2
• [cs.CV]Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk
http://arxiv.org/abs/2004.14367v1
• [cs.CV]Effective Human Activity Recognition Based on Small Datasets
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
http://arxiv.org/abs/2004.13977v1
• [cs.CV]Image Captioning through Image Transformer
Sen He, Wentong Liao, Hamed R. Tavakoli, Michael Yang, Bodo Rosenhahn, Nicolas Pugeault
http://arxiv.org/abs/2004.14231v1
• [cs.CV]Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
Vinicius Ribeiro, Sandra Avila, Eduardo Valle
http://arxiv.org/abs/2004.13856v1
• [cs.CV]Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion
Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla
http://arxiv.org/abs/2004.14052v1
• [cs.CV]Motion Guided 3D Pose Estimation from Videos
Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin
http://arxiv.org/abs/2004.13985v1
• [cs.CV]Pyramid Attention Networks for Image Restoration
Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Honghui Shi
http://arxiv.org/abs/2004.13824v1
• [cs.CV]Retinal vessel segmentation by probing adaptive to lighting variations
Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian
http://arxiv.org/abs/2004.13992v1
• [cs.CV]Single-Side Domain Generalization for Face Anti-Spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2004.14043v1
• [cs.CV]Skeleton Focused Human Activity Recognition in RGB Video
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
http://arxiv.org/abs/2004.13979v1
• [cs.CV]Tensor train rank minimization with nonlocal self-similarity for tensor completion
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma
http://arxiv.org/abs/2004.14273v1
• [cs.CV]VD-BERT: A Unified Vision and Dialog Transformer with BERT
Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi
http://arxiv.org/abs/2004.13278v2
• [cs.CV]VGGSound: A Large-scale Audio-Visual Dataset
Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman
http://arxiv.org/abs/2004.14368v1
• [cs.CV]Video Contents Understanding using Deep Neural Networks
Mohammadhossein Toutiaee, Abbas Keshavarzi, Abolfazl Farahani, John A. Miller
http://arxiv.org/abs/2004.13959v1
• [cs.CV]Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review
Mahdi Rezaei, Mahsa Shahidi
http://arxiv.org/abs/2004.14143v1
• [cs.CY]A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud
http://arxiv.org/abs/2004.13881v1
• [cs.CY]Advancing computerized cognitive training for early Alzheimer’s disease in a pandemic and post-pandemic world
Kaylee A. Bodner, Terry E. Goldberg, D. P. Devanand, P. Murali Doraiswamy
http://arxiv.org/abs/2004.14344v1
• [cs.CY]Ethnic Diversity in Computer Science at a Large Public R1 Research University
Monica Babes-Vroman, Andrew Tjang, Thu D. Nguyen
http://arxiv.org/abs/2004.13865v1
• [cs.CY]Gender Diversity in Computer Science at a Large Research University
Monica Babes-Vroman, Thu D. Nguyen
http://arxiv.org/abs/2004.13760v1
• [cs.DC]Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra
Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte
http://arxiv.org/abs/2004.13907v1
• [cs.DS]Learning Polynomials of Few Relevant Dimensions
Sitan Chen, Raghu Meka
http://arxiv.org/abs/2004.13748v1
• [cs.ET]A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
Nathaniel Joseph Tye, James Timothy Meech, Bilgesu Arif Bilgin, Phillip Stanley-Marbell
http://arxiv.org/abs/2004.14111v1
• [cs.ET]Parameter Estimation in a Noisy 1D Environment via Two Absorbing Receivers
Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang
http://arxiv.org/abs/2004.13259v2
• [cs.GR]A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling
Tim Kuipers, Eugeni L. Doubrovski, Jun Wu, Charlie C. L. Wang
http://arxiv.org/abs/2004.13497v1
• [cs.GR]Image Morphing with Perceptual Constraints and STN Alignment
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
http://arxiv.org/abs/2004.14071v1
• [cs.GR]Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance
Feixiang He, Yuanhang Xiang, Xi Zhao, He Wang
http://arxiv.org/abs/2004.14107v1
• [cs.HC]A Review of Surface Haptics:Enabling Tactile Effects on Touch Surfaces
Cagatay Basdogan, Frederic Giraud, Vincent Levesque, Seungmoon Choi
http://arxiv.org/abs/2004.13864v1
• [cs.HC]FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults
Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon, Chamath Palihawadana, Vanessa Mendham, Ehud Reiter, Kyle Martin
http://arxiv.org/abs/2004.14067v1
• [cs.IR]Complementing Lexical Retrieval with Semantic Residual Embedding
Luyu Gao, Zhuyun Dai, Zhen Fan, Jamie Callan
http://arxiv.org/abs/2004.13969v1
• [cs.IR]Conversations with Search Engines
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke
http://arxiv.org/abs/2004.14162v1
• [cs.IR]Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
http://arxiv.org/abs/2004.14255v1
• [cs.IR]Expansion via Prediction of Importance with Contextualization
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
http://arxiv.org/abs/2004.14245v1
• [cs.IR]Topic Propagation in Conversational Search
I. Mele, C. I. Muntean, F. M. Nardini, R. Perego, N. Tonellotto, O. Frieder
http://arxiv.org/abs/2004.14054v1
• [cs.IR]Training Curricula for Open Domain Answer Re-Ranking
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
http://arxiv.org/abs/2004.14269v1
• [cs.IT]6G White Paper on Machine Learning in Wireless Communication Networks
Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, Saidhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maelick Claes, Teemu Karvonen, Mingzhe Chen, Maksym Girnyk, Hassan Malik
http://arxiv.org/abs/2004.13875v1
• [cs.IT]Error Propagation Mitigation in Sliding Window Decoding of Braided Convolutional Codes
Min Zhu, David G. M. Mitchell, Michael Lentmaier, Daniel J. Costello, Jr, Baoming Bai
http://arxiv.org/abs/2004.13713v1
• [cs.IT]Families of sequences with good family complexity and cross-correlation measure
Oğuz Yayla
http://arxiv.org/abs/2004.13938v1
• [cs.IT]Lifted codes and the multilevel construction for constant dimension codes
Sascha Kurz
http://arxiv.org/abs/2004.14241v1
• [cs.IT]Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication
Kuikui Li, Meixia Tao, Jingjing Zhang, Osvaldo Simeone
http://arxiv.org/abs/2004.14170v1
• [cs.IT]Real-Time Resource Allocation for Wireless Powered Multiuser Mobile Edge Computing With Energy and Task Causality
Feng Wang, Hong Xing, Jie Xu
http://arxiv.org/abs/2004.14319v1
• [cs.LG]Batch Normalization in Quantized Networks
Eyyüb Sari, Vahid Partovi Nia
http://arxiv.org/abs/2004.14214v1
• [cs.LG]DS-FACTO: Doubly Separable Factorization Machines
Parameswaran Raman, S. V. N. Vishwanathan
http://arxiv.org/abs/2004.13940v1
• [cs.LG]Deep Reinforcement Learning with Graph-based State Representations
Vikram Waradpande, Daniel Kudenko, Megha Khosla
http://arxiv.org/abs/2004.13965v1
• [cs.LG]Directed Graph Convolutional Network
Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim
http://arxiv.org/abs/2004.13970v1
• [cs.LG]Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Jens Schreiber, Bernhard Sick
http://arxiv.org/abs/2004.14034v1
• [cs.LG]Extended Coopetitive Soft Gating Ensemble
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick
http://arxiv.org/abs/2004.14026v1
• [cs.LG]Fractional norms and quasinorms do not help to overcome the curse of dimensionality
Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
http://arxiv.org/abs/2004.14230v1
• [cs.LG]Minority Reports Defense: Defending Against Adversarial Patches
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner
http://arxiv.org/abs/2004.13799v1
• [cs.LG]Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton
http://arxiv.org/abs/2004.13912v1
• [cs.LG]Neural Network Retraining for Model Serving
Diego Klabjan, Xiaofeng Zhu
http://arxiv.org/abs/2004.14203v1
• [cs.LG]On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization
Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena
http://arxiv.org/abs/2004.13714v1
• [cs.LG]Quantized Adam with Error Feedback
Congliang Chen, Li Shen, Haozhi Huang, Qi Wu, Wei Liu
http://arxiv.org/abs/2004.14180v1
• [cs.LG]Reducing catastrophic forgetting with learning on synthetic data
Wojciech Masarczyk, Ivona Tautkute
http://arxiv.org/abs/2004.14046v1
• [cs.LG]Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs
Xiao Zhang, Dongrui Wu
http://arxiv.org/abs/2004.13954v1
• [cs.LG]Streamlining Tensor and Network Pruning in PyTorch
Michela Paganini, Jessica Forde
http://arxiv.org/abs/2004.13770v1
• [cs.LG]Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang
http://arxiv.org/abs/2004.13930v1
• [cs.LG]Valid Explanations for Learning to Rank Models
Jaspreet Singh, Megha Khosla, Avishek Anand
http://arxiv.org/abs/2004.13972v1
• [cs.LG]WoodFisher: Efficient second-order approximations for model compression
Sidak Pal Singh, Dan Alistarh
http://arxiv.org/abs/2004.14340v1
• [cs.LO]Mixing Probabilistic and non-Probabilistic Objectives in Markov Decision Processes
Raphaël Berthon, Shibashis Guha, Jean-François Raskin
http://arxiv.org/abs/2004.13789v1
• [cs.LO]Towards Faster Reasoners By Using Transparent Huge Pages
Johannes K. Fichte, Norbert Manthey, Julian Stecklina, André Schidler
http://arxiv.org/abs/2004.14378v1
• [cs.NE]Multi-layer local optima networks for the analysis of advanced local search-based algorithms
Marcella Scoczynski Ribeiro Martins, Mohamed El Yafrani, Myriam R. B. S. Delgado, Ricardo Luders
http://arxiv.org/abs/2004.13936v1
• [cs.NI]Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling
Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Brighten Godfrey, Roy Campbell
http://arxiv.org/abs/2004.14020v1
• [cs.NI]DeCoRIC: Decentralized Connected Resilient IoT Clustering
Nitin Shivaraman, Saravanan Ramanathan, Shreejith Shanker, Arvind Easwaran, Sebastian Steinhorst
http://arxiv.org/abs/2004.14072v1
• [cs.NI]Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled B. Letaief
http://arxiv.org/abs/2004.13926v1
• [cs.RO]A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
Kun Wang, Mridul Aanjaneya, Kostas Bekris
http://arxiv.org/abs/2004.13859v1
• [cs.RO]A Swarm of Simple Robots Constructing Planar Shapes
Andrew Vardy, Dalia S. Ibrahim
http://arxiv.org/abs/2004.13888v1
• [cs.RO]Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han, Lixian Zhang, Jun Wang, Wei Pan
http://arxiv.org/abs/2004.14288v1
• [cs.RO]DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Dan Jia, Alexander Hermans, Bastian Leibe
http://arxiv.org/abs/2004.14079v1
• [cs.RO]End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
Jorge Peña Queralta, Li Qingqing, Tuan Nguyen Gia, Hong-Linh Truong, Tomi Westerlund
http://arxiv.org/abs/2004.13997v1
• [cs.RO]Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification
Nathan O. Lambert, Farhan Toddywala, Brian Liao, Eric Zhu, Lydia Lee, Kristofer S. J. Pister
http://arxiv.org/abs/2004.13194v1
• [cs.RO]Performance satisfaction in Harpy, a thruster-assisted bipedal robot
Pravin Dangol, Alireza Ramezani, Nader Jalili
http://arxiv.org/abs/2004.14337v1
• [cs.RO]Task Dynamics of Prior Training Influence Visual Force Estimation Ability During Teleoperation of a Minimally Invasive Surgical Robot
Zonghe Chua, Anthony M. Jarc, Sherry Wren, Ilana Nisky, Allison M. Okamura
http://arxiv.org/abs/2004.13226v1
• [cs.RO]Unmanned Aerial Systems for Wildland and Forest Fires: Sensing, Perception, Cooperation and Assistance
Moulay A. Akhloufi, Nicolas A. Castro, Andy Couturier
http://arxiv.org/abs/2004.13883v1
• [cs.RO]Voxgraph: Globally Consistent, Volumetric Mapping using Signed Distance Function Submaps
Victor Reijgwart, Alexander Millane, Helen Oleynikova, Roland Siegwart, Cesar Cadena, Juan Nieto
http://arxiv.org/abs/2004.13154v1
• [cs.SD]Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision
Soo-Whan Chung, Hong Goo Kang, Joon Son Chung
http://arxiv.org/abs/2004.14326v1
• [cs.SE]Fast and Memory-Efficient Neural Code Completion
Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis
http://arxiv.org/abs/2004.13651v2
• [cs.SI]A methodology to evaluate the evolution of networks using topological data analysis
Joao Pita Costa, Tihana Galinac Grbac
http://arxiv.org/abs/2004.14333v1
• [cs.SI]CoronaVis: A Real-time COVID-19 Tweets Analyzer
Md. Yasin Kabir, Sanjay Madria
http://arxiv.org/abs/2004.13932v1
• [cs.SI]Privacy-Preserving Recommender Systems Challenge on Twitter’s Home Timeline
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi
http://arxiv.org/abs/2004.13715v1
• [econ.GN]Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description
Anuraag Singh, Giorgio Triulzi, Christopher L. Magee
http://arxiv.org/abs/2004.13919v1
• [eess.IV]A Fast 3D CNN for Hyperspectral Image Classification
Muhammad Ahmad
http://arxiv.org/abs/2004.14152v1
• [eess.IV]An Auto-Encoder Strategy for Adaptive Image Segmentation
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
http://arxiv.org/abs/2004.13903v1
• [eess.IV]Histogram-based Auto Segmentation: A Novel Approach to Segmenting Integrated Circuit Structures from SEM Images
Ronald Wilson, Navid Asadizanjani, Domenic Forte, Damon L. Woodard
http://arxiv.org/abs/2004.13874v1
• [eess.IV]The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellerman, Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O`Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
http://arxiv.org/abs/2004.14003v1
• [eess.SP]EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition
Jun-Ho Choi, Jong-Seok Lee
http://arxiv.org/abs/2004.13918v1
• [eess.SP]Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems
Youssef Hammadi, David Ryckelynck, Amin El-Bakkali
http://arxiv.org/abs/2004.13971v1
• [eess.SY]TS-MPC for Autonomous Vehicle using a Learning Approach
Eugenio Alcalá, Olivier Sename, Vicenç Puig, Joseba Quevedo
http://arxiv.org/abs/2004.14362v1
• [math.CO]On the weight distribution of some minimal codes
Daniele Bartoli, Matteo Bonini, Marco Timpanella
http://arxiv.org/abs/2004.13774v1
• [math.OC]Autoregressive Identification of Kronecker Graphical Models
Mattia Zorzi
http://arxiv.org/abs/2004.14199v1
• [math.OC]Enhancements to the DIDO Optimal Control Toolbox
I. M. Ross
http://arxiv.org/abs/2004.13112v1
• [math.OC]Search strategy in a complex and dynamic environment: the MH370 case
Stefan Ivić, Bojan Crnković, Hassan Arbabi, Sophie Loire, Patrick Clary, Igor Mezić
http://arxiv.org/abs/2004.14110v1
• [math.ST]Adaptive tests for parameter changes in ergodic diffusion processes from discrete observations
Yozo Tonaki, Yusuke Kaino, Masayuki Uchida
http://arxiv.org/abs/2004.13998v1
• [math.ST]Asymptotic Properties of High-Dimensional Random Forests
Chien-Ming Chi, Patrick Vossler, Yingying Fan, Jinchi Lv
http://arxiv.org/abs/2004.13953v1
• [math.ST]Dependence in elliptical partial correlation graphs
David Rossell, Piotr Zwiernik
http://arxiv.org/abs/2004.13779v1
• [math.ST]On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models
Bryant Davis, James P. Hobert
http://arxiv.org/abs/2004.14330v1
• [physics.ao-ph]Drivers of carbon fluxes in Alpine tundra: a comparison of three empirical model approaches
Marta Magnani, Ilaria Baneschi, Mariasilvia Giamberini, Pietro Mosca, Brunella Raco, Antonello Provenzale
http://arxiv.org/abs/2004.14262v1
• [physics.chem-ph]Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning
Julien Horwood, Emmanuel Noutahi
http://arxiv.org/abs/2004.14308v1
• [physics.soc-ph]Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election
Lingbo Li, Ying Fan, An Zeng, Zengru Di
http://arxiv.org/abs/2004.13949v1
• [physics.soc-ph]Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
Philippe Monmousseau, Aude Marzuoli, Eric Feron, Daniel Delahaye
http://arxiv.org/abs/2004.14372v1
• [q-bio.GN]Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
Aneta Polewko-Klim, Witold R. Rudnicki
http://arxiv.org/abs/2004.13809v1
• [q-fin.TR]A Stochastic LQR Model for Child Order Placement in Algorithmic Trading
Jackie Jianhong Shen
http://arxiv.org/abs/2004.13797v1
• [quant-ph]Insights on Training Neural Networks for QUBO Tasks
Thomas Gabor, Sebastian Feld, Hila Safi, Thomy Phan, Claudia Linnhoff-Popien
http://arxiv.org/abs/2004.14036v1
• [quant-ph]Provably-secure symmetric private information retrieval with quantum cryptography
Wen Yu Kon, Charles Ci Wen Lim
http://arxiv.org/abs/2004.13921v1
• [quant-ph]The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien
http://arxiv.org/abs/2004.14035v1
• [stat.AP]A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
Kieran Kalair, Colm Connaughton, Pierfrancesco Alaimo Di Loro
http://arxiv.org/abs/2004.14194v1
• [stat.AP]Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles
Anna K. Yanchenko, Peter D. Hoff
http://arxiv.org/abs/2004.13870v1
• [stat.AP]Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
Li Wang, Guannan Wang, Lei Gao, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Zhiling Gu
http://arxiv.org/abs/2004.14103v1
• [stat.ME]A generalized information criterion for high-dimensional PCA rank selection
Hung Hung, Su-Yun Huang, Ching-Kang Ing
http://arxiv.org/abs/2004.13914v1
• [stat.ME]Bayesian Model Selection on Random Networks
Papamichalis Marios
http://arxiv.org/abs/2004.13880v1
• [stat.ME]Energy Balancing of Covariate Distributions
Jared D. Huling, Simon Mak
http://arxiv.org/abs/2004.13962v1
• [stat.ME]Estimation of ascertainment bias and its effect on power in clinical trials with time-to-event outcomes
E. J. Greene, P. Peduzzi, J. Dziura, C. Meng, M. E. Miller, T. G. Travison, D. Esserman
http://arxiv.org/abs/2004.13775v1
• [stat.ME]Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework
Katherine J Lee, Kate Tilling, Rosie P Cornish, Roderick JA Little, Melanie L Bell, Els Goetghebeur, Joseph W Hogan, James R Carpenter
http://arxiv.org/abs/2004.14066v1
• [stat.ME]Joint Likelihood-based Principal Components Regression
Karl Oskar Ekvall
http://arxiv.org/abs/2004.14009v1
• [stat.ME]MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff
http://arxiv.org/abs/2004.13446v2
• [stat.ME]Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
http://arxiv.org/abs/2004.12508v2
• [stat.ME]Nonparametric sequential change-point detection for multivariate time series based on empirical distribution functions
Ivan Kojadinovic, Ghislain Verdier
http://arxiv.org/abs/2004.12322v2
• [stat.ME]Objective priors for divergence-based robust estimation
Tomoyuki Nakagawa, Shintaro Hashimoto
http://arxiv.org/abs/2004.13991v1
• [stat.ME]Optimal Designs for Kriging Models with Multiple Responses
Subhadra Dasgupta, Siuli Mukhopadhyay, Jonathan Keith
http://arxiv.org/abs/2004.13967v1
• [stat.ME]Optimal Study Design for Reducing Variances of Coefficient Estimators in Change-Point Models
Li Xing, Xuekui Zhang, Ardo van den Hout, Scott Hofer, Graciela Muniz Terrera
http://arxiv.org/abs/2004.13963v1
• [stat.ME]Permutation tests under a rotating sampling plan with clustered data
Jiahua Chen, Yukun Liu, James Zidek
http://arxiv.org/abs/2004.13892v1
• [stat.ME]Static and Dynamic Models for Multivariate Distribution Forecasts: Proper Scoring Rule Tests of Factor-Quantile vs. Multivariate GARCH Models
Carol Alexander, Yang Han
http://arxiv.org/abs/2004.14108v1
• [stat.ML]A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
Md Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
http://arxiv.org/abs/2004.14031v1
• [stat.ML]Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
http://arxiv.org/abs/2004.14070v1
• [stat.ML]Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu, Xingdong Feng, Fan Zhou
http://arxiv.org/abs/2004.14227v1
• [stat.ML]Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
http://arxiv.org/abs/2004.14016v1
• [stat.ML]Quantum-inspired Machine Learning on high-energy physics data
Marco Trenti, Lorenzo Sestini, Alessio Gianelle, Davide Zuliani, Timo Felser, Donatella Lucchesi, Simone Montangero
http://arxiv.org/abs/2004.13747v1
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