astro-ph.IM - 仪器仪表和天体物理学方法

    astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 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.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [astro-ph.IM]A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments
    • [astro-ph.SR]Comparison of the shape and temporal evolution of even and odd solar cycles
    • [cs.AI]A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows
    • [cs.AI]Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
    • [cs.AR]HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
    • [cs.CL]Are All Good Word Vector Spaces Isomorphic?
    • [cs.CL]Automated Utterance Generation
    • [cs.CL]Byte Pair Encoding is Suboptimal for Language Model Pretraining
    • [cs.CL]CALM: Continuous Adaptive Learning for Language Modeling
    • [cs.CL]Conditional Rap Lyrics Generation with Denoising Autoencoders
    • [cs.CL]Cross-lingual Emotion Intensity Prediction
    • [cs.CL]Deep Learning Based Text Classification: A Comprehensive Review
    • [cs.CL]DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
    • [cs.CL]Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
    • [cs.CL]Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
    • [cs.CL]DynaBERT: Dynamic BERT with Adaptive Width and Depth
    • [cs.CL]Dynamic Data Selection and Weighting for Iterative Back-Translation
    • [cs.CL]Efficient long-distance relation extraction with DG-SpanBERT
    • [cs.CL]Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
    • [cs.CL]Evaluating Machines by their Real-World Language Use
    • [cs.CL]Explicit Reordering for Neural Machine Translation
    • [cs.CL]Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning
    • [cs.CL]Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
    • [cs.CL]Frequency, Acceptability, and Selection: A case study of clause-embedding
    • [cs.CL]Generating Narrative Text in a Switching Dynamical System
    • [cs.CL]Improving BERT with Self-Supervised Attention
    • [cs.CL]Internal and external pressures on language emergence: least effort, object constancy and frequency
    • [cs.CL]KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
    • [cs.CL]KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
    • [cs.CL]LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
    • [cs.CL]Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
    • [cs.CL]Poor Man’s BERT: Smaller and Faster Transformer Models
    • [cs.CL]Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
    • [cs.CL]Putting a Spin on Language: A Quantum Interpretation of Unary Connectives for Linguistic Applications
    • [cs.CL]Re-translation versus Streaming for Simultaneous Translation
    • [cs.CL]SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities
    • [cs.CL]Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization
    • [cs.CL]Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets
    • [cs.CL]Self-Attention Gazetteer Embeddings for Named-Entity Recognition
    • [cs.CL]ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
    • [cs.CL]Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
    • [cs.CL]The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews
    • [cs.CL]Towards Evaluating the Robustness of Chinese BERT Classifiers
    • [cs.CL]Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
    • [cs.CL]Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation
    • [cs.CL]Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
    • [cs.CL]Which one is the dax? Achieving mutual exclusivity with neural networks
    • [cs.CL]e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
    • [cs.CR]Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes
    • [cs.CR]DashCam Pay: A System for In-vehicle Payments Using Face and Voice
    • [cs.CR]High Accuracy Phishing Detection Based on Convolutional Neural Networks
    • [cs.CR]Practical Data Poisoning Attack against Next-Item Recommendation
    • [cs.CV]A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants
    • [cs.CV]A Robust Method for Image Stitching
    • [cs.CV]Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition
    • [cs.CV]Attentive Normalization for Conditional Image Generation
    • [cs.CV]Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching
    • [cs.CV]CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
    • [cs.CV]Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion
    • [cs.CV]Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation
    • [cs.CV]Context-Aware Group Captioning via Self-Attention and Contrastive Features
    • [cs.CV]Convolutional neural net face recognition works in non-human-like ways
    • [cs.CV]DMLO: Deep Matching LiDAR Odometry
    • [cs.CV]Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation
    • [cs.CV]Feature Re-Learning with Data Augmentation for Video Relevance Prediction
    • [cs.CV]Improved YOLOv3 Object Classification in Intelligent Transportation System
    • [cs.CV]JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
    • [cs.CV]Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
    • [cs.CV]Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
    • [cs.CV]Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild
    • [cs.CV]Long-Tailed Recognition Using Class-Balanced Experts
    • [cs.CV]MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset
    • [cs.CV]MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images
    • [cs.CV]Mobile-Based Deep Learning Models for Banana Diseases Detection
    • [cs.CV]Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution
    • [cs.CV]Multi-Head Attention-based Probabilistic Vehicle Trajectory Prediction
    • [cs.CV]Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
    • [cs.CV]Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
    • [cs.CV]PatchVAE: Learning Local Latent Codes for Recognition
    • [cs.CV]Radon cumulative distribution transform subspace modeling for image classification
    • [cs.CV]Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya
    • [cs.CV]Self-Supervised Monocular Scene Flow Estimation
    • [cs.CV]Semantic Image Manipulation Using Scene Graphs
    • [cs.CV]Skin Diseases Detection using LBP and WLD- An Ensembling Approach
    • [cs.CV]Slicing and dicing soccer: automatic detection ofcomplex events from spatio-temporal data
    • [cs.CV]State of the Art on Neural Rendering
    • [cs.CV]TypeNet: Scaling up Keystroke Biometrics
    • [cs.CV]Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
    • [cs.DB]Causal Relational Learning
    • [cs.DC]Compiling Spiking Neural Networks to Neuromorphic Hardware
    • [cs.DC]Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Storage Systems
    • [cs.DL]SciWING — A Software Toolkit for Scientific Document Processing
    • [cs.DS]Graph Matching with Partially-Correct Seeds
    • [cs.ET]Reservoir Computing using High Order Synchronization of Coupled Oscillators
    • [cs.IR]New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
    • [cs.IR]Query-controllable Video Summarization
    • [cs.IR]Search Result Clustering in Collaborative Sound Collections
    • [cs.IR]Trust in Recommender Systems: A Deep Learning Perspective
    • [cs.IR]Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic
    • [cs.IT]A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results
    • [cs.IT]A note on an OACF-preserving operation based on Parker’s Transformation
    • [cs.IT]Energy-efficient Resource Allocation in Mobile Edge Computing with Multiple Relays
    • [cs.IT]Fast-SCAN decoding of Polar Codes
    • [cs.IT]Full-Duplex Radios for Edge Caching
    • [cs.IT]Source Coding for Synthesizing Correlated Randomness
    • [cs.LG]A Graph Convolutional Network Composition Framework for Semi-supervised Classification
    • [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
    • [cs.LG]Adaptive Transformers in RL
    • [cs.LG]CURL: Contrastive Unsupervised Representations for Reinforcement Learning
    • [cs.LG]Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
    • [cs.LG]Continual Learning with Gated Incremental Memories for sequential data processing
    • [cs.LG]DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
    • [cs.LG]Empirical Perspectives on One-Shot Semi-supervised Learning
    • [cs.LG]FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
    • [cs.LG]Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
    • [cs.LG]Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels
    • [cs.LG]Guessing What’s Plausible But Remembering What’s True: Accurate Neural Reasoning for Question-Answering
    • [cs.LG]Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
    • [cs.LG]Locality Preserving Loss to Align Vector Spaces
    • [cs.LG]Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
    • [cs.LG]Model-Agnostic Characterization of Fairness Trade-offs
    • [cs.LG]Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix
    • [cs.LG]Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach
    • [cs.LG]Normalizing Flows with Multi-Scale Autoregressive Priors
    • [cs.LG]Probabilistic Spatial Transformers for Bayesian Data Augmentation
    • [cs.LG]Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
    • [cs.LG]Signature features with the visibility transformation
    • [cs.LG]Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms
    • [cs.LG]The general theory of permutation equivarant neural networks and higher order graph variational encoders
    • [cs.LG]Training Neural Networks to Produce Compatible Features
    • [cs.LG]Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
    • [cs.LG]pAElla: Edge-AI based Real-Time Malware Detection in Data Centers
    • [cs.LO]The Logical Syntax of (IT) Architectures
    • [cs.NE]File Classification Based on Spiking Neural Networks
    • [cs.NE]Flexible Transmitter Network
    • [cs.NE]Specific Single- and Multi-Objective Evolutionary Algorithms for the Chance-Constrained Knapsack Problem
    • [cs.PL]Densities of almost-surely terminating probabilistic programs are differentiable almost everywhere
    • [cs.RO]Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control
    • [cs.RO]Soft-Bubble grippers for robust and perceptive manipulation
    • [cs.SI]”Go eat a bat, Chang!”: An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19
    • [cs.SI]A large-scale COVID-19 Twitter chatter dataset for open scientific research — an international collaboration
    • [cs.SI]Earned Benefit Maximization in Social Networks Under Budget Constraint
    • [cs.SI]How to Best Predict the Daily Number of New Infections of Covid-19
    • [econ.TH]Manipulation-Proof Machine Learning
    • [eess.AS]Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
    • [eess.AS]Deep Normalization for Speaker Vectors
    • [eess.AS]From Artificial Neural Networks to Deep Learning for Music Generation — History, Concepts and Trends
    • [eess.AS]Probabilistic embeddings for speaker diarization
    • [eess.AS]WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
    • [eess.IV]Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
    • [eess.IV]COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
    • [eess.IV]Channel Attention Residual U-Net for Retinal Vessel Segmentation
    • [eess.IV]Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
    • [eess.IV]Deep Adaptive Inference Networks for Single Image Super-Resolution
    • [eess.IV]Dense Residual Network for Retinal Vessel Segmentation
    • [eess.IV]Image super-resolution reconstruction based on attention mechanism and feature fusion
    • [eess.IV]S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
    • [eess.IV]SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
    • [eess.IV]Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
    • [eess.IV]The relationship between Fully Connected Layers and number of classes for the analysis of retinal images
    • [eess.IV]Time accelerated image super-resolution using shallow residual feature representative network
    • [eess.SP]Drone-aided Localization in LoRa IoT Networks
    • [eess.SY]Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics
    • [eess.SY]Stochastic Resource Allocation for Electricity Distribution Network Resilience
    • [math.OC]A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem
    • [math.OC]Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization
    • [math.OC]Shape-Constrained Regression using Sum of Squares Polynomials
    • [math.PR]The Loss Surfaces of Neural Networks with General Activation Functions
    • [math.ST]Asymptotic normality of robust risk minimizers
    • [math.ST]Bootstrap Prediction Bands for Functional Time Series
    • [math.ST]On non-linear dependence of multivariate subordinated Lévy processes
    • [math.ST]Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion
    • [physics.soc-ph]Assessing the risks of “infodemics” in response to COVID-19 epidemics
    • [physics.soc-ph]Complex Network Analysis of Indian Railway Zones
    • [physics.soc-ph]Opinion Network Modeling and Experiment
    • [physics.soc-ph]Wisdom of the crowds in forecasting COVID-19 spreading severity
    • [stat.ME]A unified approach for inference on algorithm-agnostic variable importance
    • [stat.ME]Directed Graphical Models and Causal Discovery for Zero-Inflated Data
    • [stat.ME]Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding and Measurement Errors
    • [stat.ME]Extreme expectile estimation for heavy-tailed time series
    • [stat.ME]Fully reconciled GDP forecasts from Income and Expenditure sides
    • [stat.ME]Robust Mixture Modeling using Weighted Complete Estimating Equations
    • [stat.ME]Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods
    • [stat.ML]Robust spectral clustering using LASSO regularization
    • [stat.OT]A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

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    • [astro-ph.IM]A computational theoretical approach for mining data on transient events from databases of high energy astrophysics experiments
    Francesco Lazzarotto, Marco Feroci, Maria Teresa Pazienza
    http://arxiv.org/abs/2004.04131v1

    • [astro-ph.SR]Comparison of the shape and temporal evolution of even and odd solar cycles
    Jouni Takalo, Kalevi Mursula
    http://arxiv.org/abs/2004.03855v1

    • [cs.AI]A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows
    Ahana Pradhan, Rushikesh K. Joshi
    http://arxiv.org/abs/2004.03592v1

    • [cs.AI]Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
    Pablo Barros, Ana Tanevska, Alessandra Sciutti
    http://arxiv.org/abs/2004.04000v1

    • [cs.AR]HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
    Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
    http://arxiv.org/abs/2004.03804v1

    • [cs.CL]Are All Good Word Vector Spaces Isomorphic?
    Ivan Vulić, Sebastian Ruder, Anders Søgaard
    http://arxiv.org/abs/2004.04070v1

    • [cs.CL]Automated Utterance Generation
    Soham Parikh, Quaizar Vohra, Mitul Tiwari
    http://arxiv.org/abs/2004.03484v2

    • [cs.CL]Byte Pair Encoding is Suboptimal for Language Model Pretraining
    Kaj Bostrom, Greg Durrett
    http://arxiv.org/abs/2004.03720v1

    • [cs.CL]CALM: Continuous Adaptive Learning for Language Modeling
    Kristjan Arumae, Parminder Bhatia
    http://arxiv.org/abs/2004.03794v1

    • [cs.CL]Conditional Rap Lyrics Generation with Denoising Autoencoders
    Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt, Loreto Parisi
    http://arxiv.org/abs/2004.03965v1

    • [cs.CL]Cross-lingual Emotion Intensity Prediction
    Irean Navas Alejo, Toni Badia, Jeremy Barnes
    http://arxiv.org/abs/2004.04103v1

    • [cs.CL]Deep Learning Based Text Classification: A Comprehensive Review
    Shervin Minaee, Nal Kalchbrenner, Erik
    3000
    Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
    http://arxiv.org/abs/2004.03705v1

    • [cs.CL]DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
    Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei
    http://arxiv.org/abs/2004.03760v1

    • [cs.CL]Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
    Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan
    http://arxiv.org/abs/2004.03875v1

    • [cs.CL]Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
    Cheng Li, Ye Tian
    http://arxiv.org/abs/2004.03786v1

    • [cs.CL]DynaBERT: Dynamic BERT with Adaptive Width and Depth
    Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
    http://arxiv.org/abs/2004.04037v1

    • [cs.CL]Dynamic Data Selection and Weighting for Iterative Back-Translation
    Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig
    http://arxiv.org/abs/2004.03672v1

    • [cs.CL]Efficient long-distance relation extraction with DG-SpanBERT
    Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang
    http://arxiv.org/abs/2004.03636v1

    • [cs.CL]Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
    Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
    http://arxiv.org/abs/2004.04123v1

    • [cs.CL]Evaluating Machines by their Real-World Language Use
    Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
    http://arxiv.org/abs/2004.03607v1

    • [cs.CL]Explicit Reordering for Neural Machine Translation
    Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita
    http://arxiv.org/abs/2004.03818v1

    • [cs.CL]Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning
    Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov
    http://arxiv.org/abs/2004.04010v1

    • [cs.CL]Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
    Zhaojiang Lin, Andrea Madotto, Pascale Fung
    http://arxiv.org/abs/2004.03829v1

    • [cs.CL]Frequency, Acceptability, and Selection: A case study of clause-embedding
    Aaron Steven White, Kyle Rawlins
    http://arxiv.org/abs/2004.04106v1

    • [cs.CL]Generating Narrative Text in a Switching Dynamical System
    Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
    http://arxiv.org/abs/2004.03762v1

    • [cs.CL]Improving BERT with Self-Supervised Attention
    Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai
    http://arxiv.org/abs/2004.03808v1

    • [cs.CL]Internal and external pressures on language emergence: least effort, object constancy and frequency
    Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni
    http://arxiv.org/abs/2004.03868v1

    • [cs.CL]KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
    Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu
    http://arxiv.org/abs/2004.04100v1

    • [cs.CL]KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
    Jiyeon Ham, Yo Joong Choe, Kyubyong Park, Ilji Choi, Hyungjoon Soh
    http://arxiv.org/abs/2004.03289v2

    • [cs.CL]LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
    Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai
    http://arxiv.org/abs/2004.04124v1

    • [cs.CL]Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
    Ryuichi Takanobu, Runze Liang, Minlie Huang
    http://arxiv.org/abs/2004.03809v1

    • [cs.CL]Poor Man’s BERT: Smaller and Faster Transformer Models
    Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov
    http://arxiv.org/abs/2004.03844v1

    • [cs.CL]Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
    Federico Bianchi, Silvia Terragni, Dirk Hovy
    http://arxiv.org/abs/2004.03974v1

    • [cs.CL]Putting a Spin on Language: A Quantum Interpretation of Unary Connectives for Linguistic Applications
    A. D. Correia, H. T. C. Stoof, M. Moortgat
    http://arxiv.org/abs/2004.04128v1

    • [cs.CL]Re-translation versus Streaming for Simultaneous Translation
    Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, George Foster
    http://arxiv.org/abs/2004.03643v1

    • [cs.CL]SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities
    Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig
    http://arxiv.org/abs/2004.03822v1

    • [cs.CL]Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization
    Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam
    http://arxiv.org/abs/2004.03589v1

    • [cs.CL]Satirical News Detection with Semantic Feature Extraction and Game-theoretic Rough Sets
    Yue Zhou, Yan Zhang, JingTao Yao
    http://arxiv.org/abs/2004.03788v1

    • [cs.CL]Self-Attention Gazetteer Embeddings for Named-Entity Recognition
    Stanislav Peshterliev, Christophe Dupuy, Imre Kiss
    http://arxiv.org/abs/2004.04060v1

    • [cs.CL]ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
    Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, Kewei Tu
    http://arxiv.org/abs/2004.03849v1

    • [cs.CL]Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
    Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu
    http://arxiv.org/abs/2004.03846v1

    • [cs.CL]The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews
    Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey Nikolenko
    http://arxiv.org/abs/2004.03659v1

    • [cs.CL]Towards Evaluating the Robustness of Chinese BERT Classifiers
    Boxin Wang, Boyuan Pan, Xin Li, Bo Li
    http://arxiv.org/abs/2004.03742v1

    • [cs.CL]Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
    Alon Jacovi, Yoav Goldberg
    http://arxiv.org/abs/2004.03685v1

    • [cs.CL]Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation
    Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo
    http://arxiv.org/abs/2004.04002v1

    • [cs.CL]Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
    Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy
    http://arxiv.org/abs/2004.03755v1

    • [cs.CL]Which one is the dax? Achieving mutual exclusivity with neural networks
    Kristina Gulordava, Thomas Brochhagen, Gemma Boleda
    http://arxiv.org/abs/2004.03902v1

    • [cs.CL]e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
    Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz
    http://arxiv.org/abs/2004.03744v1

    • [cs.CR]Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes
    Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian
    http://arxiv.org/abs/2004.03841v1

    • [cs.CR]DashCam Pay: A System for In-vehicle Payments Using Face and Voice
    Cori Tymoszek, Sunpreet S. Arora, Kim Wagner, Anil K. Jain
    http://arxiv.org/abs/2004.03756v1

    • [cs.CR]High Accuracy Phishing Detection Based on Convolutional Neural Networks
    Suleiman Y. Yerima, Mohammed K. Alzaylaee
    http://arxiv.org/abs/2004.03960v1

    • [cs.CR]Practical Data Poisoning Attack against Next-Item Recommendation
    Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
    http://arxiv.org/abs/2004.03728v1

    • [cs.CV]A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants
    Denis P. Rubanga, Loyani K. Loyani, Mgaya Richard, Sawahiko Shimada
    http://arxiv.org/abs/2004.04023v1

    • [cs.CV]A Robust Method for Image Stitching
    Matti Pellikka, Valtteri Lahtinen
    http://arxiv.org/abs/2004.03860v1

    • [cs.CV]Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition
    Jianwei Liu, Jinsong Han, Feng Lin, Kui Ren
    http://arxiv.org/abs/2004.03961v1

    • [cs.CV]Attentive Normalization for Conditional Image Generation
    Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
    http://arxiv.org/abs/2004.03828v1

    • [cs.CV]Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching
    Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe, Cyrill Stachniss, Sven Behnke
    http://arxiv.org/abs/2004.04090v1

    • [cs.CV]CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
    Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin
    http://arxiv.org/abs/2004.03882v1

    • [cs.CV]Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion
    Xiao Jiang, Gang Li, Yu Liu, Xiao-Ping Zhang, You He
    http://arxiv.org/abs/2004.03830v1

    • [cs.CV]Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation
    Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi
    http://arxiv.org/abs/2004.03892v1

    • [cs.CV]Context-Aware Group Captioning via Self-Attention and Contrastive Features
    Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan Yuille
    http://arxiv.org/abs/2004.03708v1

    • [cs.CV]Convolutional neural net face recognition works in non-human-like ways
    P. J. B. Hancock, R. S. Somai, V. R. Mileva, A. K. Bobak
    http://arxiv.org/abs/2004.04069v1

    • [cs.CV]DMLO: Deep Matching LiDAR Odometry
    Naiyan Wang, Zhichao Li
    http://arxiv.org/abs/2004.03796v1

    • [cs.CV]Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation
    Hanbyul Joo, Natalia Neverova, Andrea Vedaldi
    http://arxiv.org/abs/2004.03686v1

    • [cs.CV]Feature Re-Learning with Data Augmentation for Video Relevance Prediction
    Jianfeng Dong, Xun Wang, Leimin Zhang, Chaoxi Xu, Gang Yang, Xirong Li
    http://arxiv.org/abs/2004.03815v1

    • [cs.CV]Improved YOLOv3 Object Classification in Intelligent Transportation System
    Yang Zhang, Changhui Hu, Xiaobo Lu
    http://arxiv.org/abs/2004.03948v1

    • [cs.CV]JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
    Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel
    http://arxiv.org/abs/2004.03597v1

    • [cs.CV]Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions
    Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2004.03967v1

    • [cs.CV]Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
    Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
    http://arxiv.org/abs/2004.03791v1

    • [cs.CV]Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild
    Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo
    http://arxiv.org/abs/2004.03737v1

    • [cs.CV]Long-Tailed Recognition Using Class-Balanced Experts
    Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
    http://arxiv.org/abs/2004.03706v1

    • [cs.CV]MNIST-MIX: A Multi-language Handwritten Digit Recognition Dataset
    Weiwei Jiang
    http://arxiv.org/abs/2004.03848v1

    • [cs.CV]MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images
    Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima
    http://arxiv.org/abs/2004.03811v1

    • [cs.CV]Mobile-Based Deep Learning Models for Banana Diseases Detection
    Sophia Sanga, Victor Mero, Dina Machuve, Davis Mwanganda
    http://arxiv.org/abs/2004.03718v1

    • [cs.CV]Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution
    Litu Rout, Saumyaa Shah, S Manthira Moorthi, Debajyoti Dhar
    http://arxiv.org/abs/2004.03879v1

    • [cs.CV]Multi-Head Attention-based Probabilistic Vehicle Trajectory Prediction
    Hayoung Kim, Dongchan Kim, Gihoon Kim, Jeongmin Cho, Kunsoo Huh
    http://arxiv.org/abs/2004.03842v1

    • [cs.CV]Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
    Marton Veges, Andras Lorincz
    http://arxiv.org/abs/2004.03989v1

    • [cs.CV]Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
    Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
    http://arxiv.org/abs/2004.03590v1

    • [cs.CV]PatchVAE: Learning Local Latent Codes for Recognition
    Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
    http://arxiv.org/abs/2004.03623v1

    • [cs.CV]Radon cumulative distribution transform subspace modeling for image classification
    Mohammad Shifat-E-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde
    http://arxiv.org/abs/2004.03669v1

    • [cs.CV]Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya
    Andrew Hobbs, Stacey Svetlichnaya
    http://arxiv.org/abs/2004.04081v1

    • [cs.CV]Self-Supervised Monocular Scene Flow Estimation
    Junhwa Hur, Stefan Roth
    http://arxiv.org/abs/2004.04143v1

    • [cs.CV]Semantic Image Manipulation Using Scene Graphs
    Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht
    http://arxiv.org/abs/2004.03677v1

    • [cs.CV]Skin Diseases Detection using LBP and WLD- An Ensembling Approach
    Arnab Banerjee, Nibaran Das, Mita Nasipuri
    http://arxiv.org/abs/2004.04122v1

    • [cs.CV]Slicing and dicing soccer: automatic detection ofcomplex events from spatio-temporal data
    Lia Morra, Francesco Manigrasso, Giuseppe Canto, Claudio Gianfrate, Enrico Guarino, Fabrizio Lamberti
    http://arxiv.org/abs/2004.04147v1

    • [cs.CV]State of the Art on Neural Rendering
    Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer
    http://arxiv.org/abs/2004.03805v1

    • [cs.CV]TypeNet: Scaling up Keystroke Biometrics
    Alejandro Acien, John V. Monaco, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez
    http://arxiv.org/abs/2004.03627v1

    • [cs.CV]Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
    Xun Xu, Gim Hee Lee
    http://arxiv.org/abs/2004.04091v1

    • [cs.DB]Causal Relational Learning
    Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
    http://arxiv.org/abs/2004.03644v1

    • [cs.DC]Compiling Spiking Neural Networks to Neuromorphic Hardware
    Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James Shackleford
    http://arxiv.org/abs/2004.03717v1

    • [cs.DC]Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Storage Systems
    Liangliang Xu, Min Lyu, Zhipeng Li, Yongkun Li, Yinlong Xu
    http://arxiv.org/abs/2004.03998v1

    • [cs.DL]SciWING — A Software Toolkit for Scientific Document Processing
    Abhinav Ramesh Kashyap, Min-Yen Kan
    http://arxiv.org/abs/2004.03807v1

    • [cs.DS]Graph Matching with Partially-Correct Seeds
    Liren Yu, Jiaming Xu, Xiaojun Lin
    http://arxiv.org/abs/2004.03816v1

    • [cs.ET]Reservoir Computing using High Order Synchronization of Coupled Oscillators
    A. A. Velichko, D. V. Ryabokon, S. D. Khanin, A. V. Sidorenko, A. G. Rikkiev
    http://arxiv.org/abs/2004.04114v1

    • [cs.IR]New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding
    Robin Brochier, Antoine Gourru, Adrien Guille, Julien Velcin
    http://arxiv.org/abs/2004.03621v1

    • [cs.IR]Query-controllable Video Summarization
    Jia-Hong Huang, Marcel Worring
    http://arxiv.org/abs/2004.03661v1

    • [cs.IR]Search Result Clustering in Collaborative Sound Collections
    Xavier Favory, Frederic Font, Xavier Serra
    http://arxiv.org/abs/2004.03985v1

    • [cs.IR]Trust in Recommender Systems: A Deep Learning Perspective
    Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
    http://arxiv.org/abs/2004.03774v1

    • [cs.IR]Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic
    Nikhil Kumar Rajput, Bhavya Ahuja Grover, Vipin Kumar Rathi
    http://arxiv.org/abs/2004.03925v1

    • [cs.IT]A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results
    Jian-Jian Weng, Fady Alajaji, Tamás Linder
    http://arxiv.org/abs/2004.03954v1

    • [cs.IT]A note on an OACF-preserving operation based on Parker’s Transformation
    Geyang Wang, Qi Wang
    http://arxiv.org/abs/2004.03799v1

    • [cs.IT]Energy-efficient Resource Allocation in Mobile Edge Computing with Multiple Relays
    Xiang Li, Rongfei Fan, Han Hu, Ning Zhang
    http://arxiv.org/abs/2004.03821v1

    • [cs.IT]Fast-SCAN decoding of Polar Codes
    Charles Pillet, Carlo Condo, Valerio Bioglio
    http://arxiv.org/abs/2004.03869v1

    • [cs.IT]Full-Duplex Radios for Edge Caching
    Italo Atzeni, Marco Maso
    http://arxiv.org/abs/2004.03874v1

    • [cs.IT]Source Coding for Synthesizing Correlated Randomness
    Touheed Anwar Atif, Arun Padakandla, S. Sandeep Pradhan
    http://arxiv.org/abs/2004.03651v1

    • [cs.LG]A Graph Convolutional Network Composition Framework for Semi-supervised Classification
    Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer
    http://arxiv.org/abs/2004.03994v1

    • [cs.LG]A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
    Gang Liu, Jing Wang
    http://arxiv.org/abs/2004.03955v1

    • [cs.LG]Adaptive Transformers in RL
    Shakti Kumar, Jerrod Parker, Panteha Naderian
    http://arxiv.org/abs/2004.03761v1

    • [cs.LG]CURL: Contrastive Unsupervised Representations for Reinforcement Learning
    Aravind Srinivas, Michael Laskin, Pieter Abbeel
    http://arxiv.org/abs/2004.04136v1

    • [cs.LG]Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
    Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin
    http://arxiv.org/abs/2004.03722v1

    • [cs.LG]Continual Learning with Gated Incremental Memories for sequential data processing
    Andrea Cossu, Antonio Carta, Davide Bacciu
    http://arxiv.org/abs/2004.04077v1

    • [cs.LG]DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
    Lorraine Chambers, Mohamed Medhat Gaber, Zahraa S. Abdallah
    http://arxiv.org/abs/2004.04116v1

    • [cs.LG]Empirical Perspectives on One-Shot Semi-supervised Learning
    Leslie N. Smith, Adam Conovaloff
    http://arxiv.org/abs/2004.04141v1

    • [cs.LG]FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
    Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
    http://arxiv.org/abs/2004.03657v1

    • [cs.LG]Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
    Xinglei Wang, Xuefeng Guan, Jun Cao, Na Zhang, Huayi Wu
    http://arxiv.org/abs/
    2000
    2004.02391v1
    2000
    2004.02391v1)

    • [cs.LG]Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels
    Zhongchen Ma, Songcan Chen
    http://arxiv.org/abs/2004.03951v1

    • [cs.LG]Guessing What’s Plausible But Remembering What’s True: Accurate Neural Reasoning for Question-Answering
    Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen
    http://arxiv.org/abs/2004.03658v1

    • [cs.LG]Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
    Karl Stratos, Sam Wiseman
    http://arxiv.org/abs/2004.03991v1

    • [cs.LG]Locality Preserving Loss to Align Vector Spaces
    Ashwinkumar Ganesan, Frank Ferraro, Tim Oates
    http://arxiv.org/abs/2004.03734v1

    • [cs.LG]Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
    Jaleh Zand, Stephen Roberts
    http://arxiv.org/abs/2004.03797v1

    • [cs.LG]Model-Agnostic Characterization of Fairness Trade-offs
    Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
    http://arxiv.org/abs/2004.03424v2

    • [cs.LG]Neural Networks Model for Travel Time Prediction Based on ODTravel Time Matrix
    Ayobami E. Adewale, Amnir Hadachi
    http://arxiv.org/abs/2004.04030v1

    • [cs.LG]Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach
    Suchismita Das, Nikhil R. Pal
    http://arxiv.org/abs/2004.03922v1

    • [cs.LG]Normalizing Flows with Multi-Scale Autoregressive Priors
    Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth
    http://arxiv.org/abs/2004.03891v1

    • [cs.LG]Probabilistic Spatial Transformers for Bayesian Data Augmentation
    Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg
    http://arxiv.org/abs/2004.03637v1

    • [cs.LG]Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
    Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth
    http://arxiv.org/abs/2004.04104v1

    • [cs.LG]Signature features with the visibility transformation
    Yu Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson
    http://arxiv.org/abs/2004.04006v1

    • [cs.LG]Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms
    Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
    http://arxiv.org/abs/2004.04120v1

    • [cs.LG]The general theory of permutation equivarant neural networks and higher order graph variational encoders
    Erik Henning Thiede, Truong Son Hy, Risi Kondor
    http://arxiv.org/abs/2004.03990v1

    • [cs.LG]Training Neural Networks to Produce Compatible Features
    Michael Gygli, Jasper Uijlings, Vittorio Ferrari
    http://arxiv.org/abs/2004.03898v1

    • [cs.LG]Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
    Pengzhan Guo, Zeyang Ye, Keli Xiao, Wei Zhu
    http://arxiv.org/abs/2004.03749v1

    • [cs.LG]pAElla: Edge-AI based Real-Time Malware Detection in Data Centers
    Antonio Libri, Andrea Bartolini, Luca Benini
    http://arxiv.org/abs/2004.03670v1

    • [cs.LO]The Logical Syntax of (IT) Architectures
    Christoph F. Strnadl
    http://arxiv.org/abs/2004.03719v1

    • [cs.NE]File Classification Based on Spiking Neural Networks
    Ana Stanojevic, Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian
    http://arxiv.org/abs/2004.03953v1

    • [cs.NE]Flexible Transmitter Network
    Shao-Qun Zhang, Zhi-Hua Zhou
    http://arxiv.org/abs/2004.03839v1

    • [cs.NE]Specific Single- and Multi-Objective Evolutionary Algorithms for the Chance-Constrained Knapsack Problem
    Yue Xie, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2004.03205v2

    • [cs.PL]Densities of almost-surely terminating probabilistic programs are differentiable almost everywhere
    Carol Mak, C. -H. Luke Ong, Hugo Paquet, Dominik Wagner
    http://arxiv.org/abs/2004.03924v1

    • [cs.RO]Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control
    A. Cauligi, P. Culbertson, B. Stellato, D. Bertsimas, M. Schwager, M. Pavone
    http://arxiv.org/abs/2004.03736v1

    • [cs.RO]Soft-Bubble grippers for robust and perceptive manipulation
    Naveen Kuppuswamy, Alex Alspach, Avinash Uttamchandani, Sam Creasey, Takuya Ikeda, Russ Tedrake
    http://arxiv.org/abs/2004.03691v1

    • [cs.SI]“Go eat a bat, Chang!”: An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19
    Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou
    http://arxiv.org/abs/2004.04046v1

    • [cs.SI]A large-scale COVID-19 Twitter chatter dataset for open scientific research — an international collaboration
    Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell
    http://arxiv.org/abs/2004.03688v1

    • [cs.SI]Earned Benefit Maximization in Social Networks Under Budget Constraint
    Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar
    http://arxiv.org/abs/2004.04003v1

    • [cs.SI]How to Best Predict the Daily Number of New Infections of Covid-19
    Bernd Skiera, Lukas Jürgensmeier, Kevin Stowe, Iryna Gurevych
    http://arxiv.org/abs/2004.03937v1

    • [econ.TH]Manipulation-Proof Machine Learning
    Daniel Björkegren, J
    285
    oshua E. Blumenstock, Samsun Knight
    http://arxiv.org/abs/2004.03865v1

    • [eess.AS]Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
    Xu Li, Jinghua Zhong, Jianwei Yu, Shoukang Hu, Xixin Wu, Xunying Liu, Helen Meng
    http://arxiv.org/abs/2004.04014v1

    • [eess.AS]Deep Normalization for Speaker Vectors
    Yunqi Cai, Lantian Li, Dong Wang, Andrew Abel
    http://arxiv.org/abs/2004.04095v1

    • [eess.AS]From Artificial Neural Networks to Deep Learning for Music Generation — History, Concepts and Trends
    Jean-Pierre Briot
    http://arxiv.org/abs/2004.03586v1

    • [eess.AS]Probabilistic embeddings for speaker diarization
    Anna Silnova, Niko Brümmer, Johan Rohdin, Themos Stafylakis, Lukáš Burget
    http://arxiv.org/abs/2004.04096v1

    • [eess.AS]WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
    Tsun-An Hsieh, Hsin-Min Wang, Xugang Lu, Yu Tsao
    http://arxiv.org/abs/2004.04098v1

    • [eess.IV]Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
    Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
    http://arxiv.org/abs/2004.03271v2

    • [eess.IV]COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
    Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin, Tarek M. Taha, Vijayan K. Asari
    http://arxiv.org/abs/2004.03747v1

    • [eess.IV]Channel Attention Residual U-Net for Retinal Vessel Segmentation
    Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou
    http://arxiv.org/abs/2004.03702v1

    • [eess.IV]Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
    Umut Ozkaya, Saban Ozturk, Mucahid Barstugan
    http://arxiv.org/abs/2004.03698v1

    • [eess.IV]Deep Adaptive Inference Networks for Single Image Super-Resolution
    Ming Liu, Zhilu Zhang, Liya Hou, Wangmeng Zuo, Lei Zhang
    http://arxiv.org/abs/2004.03915v1

    • [eess.IV]Dense Residual Network for Retinal Vessel Segmentation
    Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li
    http://arxiv.org/abs/2004.03697v1

    • [eess.IV]Image super-resolution reconstruction based on attention mechanism and feature fusion
    Jiawen Lyn, Sen Yan
    http://arxiv.org/abs/2004.03939v1

    • [eess.IV]S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
    Litu Rout, Indranil Misra, S Manthira Moorthi, Debajyoti Dhar
    http://arxiv.org/abs/2004.03867v1

    • [eess.IV]SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
    Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan
    http://arxiv.org/abs/2004.03696v1

    • [eess.IV]Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
    Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab
    http://arxiv.org/abs/2004.03675v1

    • [eess.IV]The relationship between Fully Connected Layers and number of classes for the analysis of retinal images
    Ajna Ram, d Constantino Carlos Reyes-Aldasoro
    http://arxiv.org/abs/2004.03624v1

    • [eess.IV]Time accelerated image super-resolution using shallow residual feature representative network
    Meenu Ajith, Aswathy Rajendra Kurup, Manel Martínez-Ramón
    http://arxiv.org/abs/2004.04093v1

    • [eess.SP]Drone-aided Localization in LoRa IoT Networks
    Victor Delafontaine, Fabrizio Schiano, Giuseppe Cocco, Alexandru Rusu, Dario Floreano
    http://arxiv.org/abs/2004.03852v1

    • [eess.SY]Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics
    Jochen Stiasny, George S. Misyris, Spyros Chatzivasileiadis
    http://arxiv.org/abs/2004.04026v1

    • [eess.SY]Stochastic Resource Allocation for Electricity Distribution Network Resilience
    Derek Chang, Devendra Shelar, Saurabh Amin
    http://arxiv.org/abs/2004.04041v1

    • [math.OC]A Dynamic Observation Strategy for Multi-agent Multi-armed Bandit Problem
    Udari Madhushani, Naomi Ehrich Leonard
    http://arxiv.org/abs/2004.03793v1

    • [math.OC]Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization
    Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
    http://arxiv.org/abs/2004.03639v1

    • [math.OC]Shape-Constrained Regression using Sum of Squares Polynomials
    Mihaela Curmei, Georgina Hall
    http://arxiv.org/abs/2004.03853v1

    • [math.PR]The Loss Surfaces of Neural Networks with General Activation Functions
    Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel
    http://arxiv.org/abs/2004.03959v1

    • [math.ST]Asymptotic normality of robust risk minimizers
    Stanislav Minsker
    http://arxiv.org/abs/2004.0
    1000
    2328v2
    1000
    2328v2)

    • [math.ST]Bootstrap Prediction Bands for Functional Time Series
    Efstathios Paparoditis, Han Lin Shang
    http://arxiv.org/abs/2004.03971v1

    • [math.ST]On non-linear dependence of multivariate subordinated Lévy processes
    Elvira Di Nardo, Marina Marena, Patrizia Semeraro
    http://arxiv.org/abs/2004.03933v1

    • [math.ST]Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion
    Matthew M. Dunlop, Yunan Yang
    http://arxiv.org/abs/2004.03730v1

    • [physics.soc-ph]Assessing the risks of “infodemics” in response to COVID-19 epidemics
    Riccardo Gallotti, Francesco Valle, Nicola Castaldo, Pierluigi Sacco, Manlio De Domenico
    http://arxiv.org/abs/2004.03997v1

    • [physics.soc-ph]Complex Network Analysis of Indian Railway Zones
    Nikhil Kumar Rajput, Piyush Badola, Harshit Arora, Bhavya Ahuja Grover
    http://arxiv.org/abs/2004.04146v1

    • [physics.soc-ph]Opinion Network Modeling and Experiment
    Michael Gabbay
    http://arxiv.org/abs/2004.03757v1

    • [physics.soc-ph]Wisdom of the crowds in forecasting COVID-19 spreading severity
    Jeremy Turiel, Tomaso Aste
    http://arxiv.org/abs/2004.04125v1

    • [stat.ME]A unified approach for inference on algorithm-agnostic variable importance
    Brian D. Williamson, Peter B. Gilbert, Noah R. Simon, Marco Carone
    http://arxiv.org/abs/2004.03683v1

    • [stat.ME]Directed Graphical Models and Causal Discovery for Zero-Inflated Data
    Shiqing Yu, Mathias Drton, Ali Shojaie
    http://arxiv.org/abs/2004.04150v1

    • [stat.ME]Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding and Measurement Errors
    Zijian Guo, Domagoj Ćevid, Peter Bühlmann
    http://arxiv.org/abs/2004.03758v1

    • [stat.ME]Extreme expectile estimation for heavy-tailed time series
    Simone A. Padoan, Gilles Stupfler
    http://arxiv.org/abs/2004.04078v1

    • [stat.ME]Fully reconciled GDP forecasts from Income and Expenditure sides
    Luisa Bisaglia, Tommaso Di Fonzo, Daniele Girolimetto
    http://arxiv.org/abs/2004.03864v1

    • [stat.ME]Robust Mixture Modeling using Weighted Complete Estimating Equations
    Shonosuke Sugasawa, Genya Kobayashi
    http://arxiv.org/abs/2004.03751v1

    • [stat.ME]Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods
    François Bachoc, Théo Barthe, Thomas Santner, Yann Richet
    http://arxiv.org/abs/2004.03854v1

    • [stat.ML]Robust spectral clustering using LASSO regularization
    Camille Champion, Blazère Mélanie, Burcelin Rémy, Loubes Jean-Michel, Risser Laurent
    http://arxiv.org/abs/2004.03845v1

    • [stat.OT]A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
    Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani, Mauricio Santillana
    http://arxiv.org/abs/2004.04019v1