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.CY - 计算与社会 cs.DB - 数据库 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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.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.DS - 动力系统 math.NA - 数值分析 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 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-fin.CP -计算金融学 q-fin.TR - 贸易与市场微观结构 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A general approach to progressive learning
    • [cs.AI]Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics
    • [cs.AI]Augmented Behavioral Cloning from Observation
    • [cs.AI]Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
    • [cs.AI]Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic
    • [cs.AI]HAPRec: Hybrid Activity and Plan Recognizer
    • [cs.AI]Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling
    • [cs.AI]Optimizing AI for Teamwork
    • [cs.AI]Pitfalls of learning a reward function online
    • [cs.AI]Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
    • [cs.AR]FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency
    • [cs.CL]$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
    • [cs.CL]A Named Entity Based Approach to Model Recipes
    • [cs.CL]A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
    • [cs.CL]Active Learning for Coreference Resolution using Discrete Annotation
    • [cs.CL]An Effective Transition-based Model for Discontinuous NER
    • [cs.CL]Assessing Discourse Relations in Language Generation from Pre-trained Language Models
    • [cs.CL]Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
    • [cs.CL]Autoencoding Word Representations through Time for Semantic Change Detection
    • [cs.CL]Context-aware Helpfulness Prediction for Online Product Reviews
    • [cs.CL]Conversational Word Embedding for Retrieval-Based Dialog System
    • [cs.CL]DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
    • [cs.CL]Embarrassingly Simple Unsupervised Aspect Extraction
    • [cs.CL]Endowing Empathetic Dialogue Systems with Personas
    • [cs.CL]Entity Type Prediction in Knowledge Graphs using Embeddings
    • [cs.CL]Event Extraction by Answering (Almost) Natural Questions
    • [cs.CL]Explicitly Modeling Adaptive Depths for Transformer
    • [cs.CL]Extending Multilingual BERT to Low-Resource Languages
    • [cs.CL]Introducing a framework to assess newly created questions with Natural Language Processing
    • [cs.CL]Joint Keyphrase Chunking and Salience Ranking with BERT
    • [cs.CL]KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
    • [cs.CL]KoParadigm: A Korean Conjugation Paradigm Generator
    • [cs.CL]Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
    • [cs.CL]Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
    • [cs.CL]Learning to Learn Morphological Inflection for Resource-Poor Languages
    • [cs.CL]Let’s be Humorous: Knowledge Enhanced Humor Generation
    • [cs.CL]LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
    • [cs.CL]MAVEN: A Massive General Domain Event Detection Dataset
    • [cs.CL]MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP
    • [cs.CL]On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
    • [cs.CL]PuzzLing Machines: A Challenge on Learning From Small Data
    • [cs.CL]Recipes for building an open-domain chatbot
    • [cs.CL]Scheduled DropHead: A Regularization Method for Transformer Models
    • [cs.CL]Self-Attention with Cross-Lingual Position Representation
    • [cs.CL]Semantics-Aware Inferential Network for Natural Language Understanding
    • [cs.CL]Showing Your Work Doesn’t Always Work
    • [cs.CL]Simultaneous Translation Policies: From Fixed to Adaptive
    • [cs.CL]The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
    • [cs.CL]Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data
    • [cs.CL]Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
    • [cs.CL]Word Interdependence Exposes How LSTMs Compose Representations
    • [cs.CL]Would You Like Sashimi Even If It’s Sliced Too Thin? Selective Neural Attention for Aspect Targeted Sentiment Analysis (SNAT)
    • [cs.CR]Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
    • [cs.CR]User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing
    • [cs.CV]3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
    • [cs.CV]A Disentangling Invertible Interpretation Network for Explaining Latent Representations
    • [cs.CV]A Novel Attention-based Aggregation Function to Combine Vision and Language
    • [cs.CV]A generic and efficient convolutional neural network accelerator using HLS for a system on chip design
    • [cs.CV]A novel Region of Interest Extraction Layer for Instance Segmentation
    • [cs.CV]Compact retail shelf segmentation for mobile deployment
    • [cs.CV]Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
    • [cs.CV]DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
    • [cs.CV]Do We Need Fully Connected Output Layers in Convolutional Networks?
    • [cs.CV]Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset
    • [cs.CV]Exploring Self-attention for Image Recognition
    • [cs.CV]GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
    • [cs.CV]Gradient-Induced Co-Saliency Detection
    • [cs.CV]Graph2Plan: Learning Floorplan Generation from Layout Graphs
    • [cs.CV]Inferring Temporal Compositions of Actions Using Probabilistic Automata
    • [cs.CV]Learning Feature Descriptors using Camera Pose Supervision
    • [cs.CV]Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
    • [cs.CV]Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
    • [cs.CV]Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation
    • [cs.CV]Multivariate Confidence Calibration for Object Detection
    • [cs.CV]Neural Hair Rendering
    • [cs.CV]Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
    • [cs.CV]Revisiting Multi-Task Learning in the Deep Learning Era
    • [cs.CV]SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
    • [cs.CV]Self-Supervised Attention Learning for Depth and Ego-motion Estimation
    • [cs.CV]Small-Task Incremental Learning
    • [cs.CV]Style-transfer GANs for bridging the domain gap in synthetic pose estimator training
    • [cs.CV]The Problem of Fragmented Occlusion in Object Detection
    • [cs.CV]Trainable Activation Function Supported CNN in Image Classification
    • [cs.CV]Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
    • [cs.CV]VD-BERT: A Unified Vision and Dialog Transformer with BERT
    • [cs.CY]A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting
    • [cs.CY]Don’t Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
    • [cs.CY]Lights and shadows of COVID-19, Technology and Industry 4.0
    • [cs.CY]Value-based Engineering for Ethics by Design
    • [cs.DB]Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data — Full Version
    • [cs.DB]Towards an Integrated Platform for Big Data Analysis
    • [cs.DC]Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training
    • [cs.DC]Cpp-Taskflow v2: A General-purpose Parallel and Heterogeneous Task Programming System at Scale
    • [cs.DC]Efficient GPU Thread Mapping on Embedded 2D Fractals
    • [cs.DC]Enabling EASEY deployment of containerized applications for future HPC systems
    • [cs.DC]Online Payments by Merely Broadcasting Messages (Extended Version)
    • [cs.DC]Parasite Chain Detection in the IOTA Protocol
    • [cs.DC]The Dark Side of Unikernels for Machine Learning
    • [cs.DC]Two-Stage Robust Edge Service Placement and Sizing under Demand Uncertainty
    • [cs.DS]Batched Predecessor and Sorting with Size-Priced Information in External Memory
    • [cs.DS]Learning Lines with Ordinal Constraints
    • [cs.ET]Parameter Estimation in a Noisy 1D Environment via Two Absorbing Receivers
    • [cs.HC]The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
    • [cs.IR]A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting
    • [cs.IR]A session-based song recommendation approach involving user characterization along the play power-law distribution
    • [cs.IR]Automatic Textual Evidence Mining in COVID-19 Literature
    • [cs.IR]Choppy: Cut Transformer For Ranked List Truncation
    • [cs.IR]CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network
    • [cs.IR]Conversational Question Answering over Passages by Leveraging Word Proximity Networks
    • [cs.IR]EARL: Speedup Transformer-based Rankers with Pre-computed Representation
    • [cs.IR]Evaluating Stochastic Rankings with Expected Exposure
    • [cs.IR]On the Reliability of Test Collections for Evaluating Systems of Different Types
    • [cs.IR]Unbiased Learning to Rank: Online or Offline?
    • [cs.IT]Bounds for list-decoding and list-recovery of random linear codes
    • [cs.IT]Communication Complexity of the Secret Key Agreement in Algorithmic Information Theory
    • [cs.IT]Coverage Improvement of Wireless Sensor Networks via Spatial Profile Information
    • [cs.IT]Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks
    • [cs.IT]Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis
    • [cs.IT]Nested Tailbiting Convolutional Codes for Secrecy, Privacy, and Storage
    • [cs.IT]UAV-to-Ground Communications: Channel Modeling and UAV Selection
    • [cs.LG]A Doubly Regularized Linear Discriminant Analysis Classifier with Automatic Parameter Selection
    • [cs.LG]A new effective and efficient measure for outlying aspect mining
    • [cs.LG]Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
    • [cs.LG]An ASP-Based Approach to Counterfactual Explanations for Classification
    • [cs.LG]An Explainable Deep Learning-based Prognostic Model for Rotating Machinery
    • [cs.LG]An exposition to the finiteness of fibers in matrix completion via Plücker coordinates
    • [cs.LG]Application of Deep Interpolation Network for Clustering of Physiologic Time Series
    • [cs.LG]Clustering via torque balance with mass and distance
    • [cs.LG]Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
    • [cs.LG]Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
    • [cs.LG]Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach
    • [cs.LG]EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
    • [cs.LG]Efficient Inverse-Free Incremental and Decremental Algorithms for Multiple Hidden Nodes in Extreme Learning Machine
    • [cs.LG]Energy-based models for atomic-resolution protein conformations
    • [cs.LG]FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training
    • [cs.LG]Heterogeneous Representation Learning: A Review
    • [cs.LG]Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
    • [cs.LG]Improving Sample Complexity Bounds for Actor-Critic Algorithms
    • [cs.LG]Learning to Rank in the Position Based Model with Bandit Feedback
    • [cs.LG]Machine Learning Based Mobile Network Throughput Classification
    • [cs.LG]Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
    • [cs.LG]Meta-Learning for Few-Shot Land Cover Classification
    • [cs.LG]Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
    • [cs.LG]Out-of-Sample Representation Learning for Multi-Relational Graphs
    • [cs.LG]Privacy Guidelines for Contact Tracing Applications
    • [cs.LG]Private Dataset Generation Using Privacy Preserving Collaborative Learning
    • [cs.LG]Pseudo Rehearsal using non photo-realistic images
    • [cs.LG]Robust Generative Adversarial Network
    • [cs.LG]Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
    • [cs.LG]Some people aren’t worth listening to: periodically retraining classifiers with feedback from a team of end users
    • [cs.LG]The Immersion of Directed Multi-graphs in Embedding Fields. Generalisations
    • [cs.LG]VIGN: Variational Integrator Graph Networks
    • [cs.LG]Visual Grounding of Learned Physical Models
    • [cs.MM]SSIM-Based CTU-Level Joint Optimal Bit Allocation and Rate Distortion Optimization
    • [cs.NE]Angle-based Search Space Shrinking for Neural Architecture Search
    • [cs.NE]Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
    • [cs.NE]Genetic programming approaches to learning fair classifiers
    • [cs.NE]Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning
    • [cs.NI]Campus Traffic and e-Learning during COVID-19 Pandemic
    • [cs.RO]Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques
    • [cs.RO]Transferable Active Grasping and Real Embodied Dataset
    • [cs.SD]Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise
    • [cs.SE]Fast and Memory-Efficient Neural Code Completion
    • [cs.SE]Internet of Things Architectures: A Comparative Study
    • [cs.SE]Modeling the Raft Distributed Consensus Protocol in LNT
    • [cs.SE]SCELMo: Source Code Embeddings from Language Models
    • [cs.SI]Effects of Assortativity on Consensus Formation with Heterogeneous Agents
    • [cs.SI]Mobility Based SIR Model For Pandemics — With Case Study Of COVID-19
    • [cs.SI]Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation
    • [econ.GN]How do online consumers review negatively?
    • [econ.GN]The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
    • [eess.AS]Autoencoding Neural Networks as Musical Audio Synthesizers
    • [eess.AS]Detect Language of Transliterated Texts
    • [eess.AS]Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition
    • [eess.IV]A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
    • [eess.IV]A scoping review of transfer learning research on medical image analysis using ImageNet
    • [eess.IV]DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
    • [eess.IV]FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
    • [eess.IV]Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
    • [eess.IV]Identification of Cervical Pathology using Adversarial Neural Networks
    • [eess.IV]LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
    • [eess.IV]Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
    • [eess.SP]Communication-Efficient Edge AI Inference Over Wireless Networks
    • [eess.SP]Comparison of Windowed-Decoder Configurations for Spatially Coupled LDPC Codes Under Equal-Complexity Constraints
    • [eess.SP]Ensemble long short-term memory (EnLSTM) network
    • [eess.SP]Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction
    • [eess.SY]Uncertainty of Resilience in Complex Networks with Nonlinear Dynamics
    • [math.DS]Forty New Invariants of N-Periodics in the Elliptic Billiard
    • [math.DS]Related by Similiarity: Poristic Triangles and 3-Periodics in the Elliptic Billiard
    • [math.NA]Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
    • [math.OC]Distributed Projected Subgradient Method for Weakly Convex Optimization
    • [math.OC]The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent
    • [math.PR]Correlated randomly growing graphs
    • [math.ST]Testing for spherical and elliptical symmetry
    • [physics.soc-ph]Assessing the impact of the coronavirus lockdown on unhappiness, loneliness, and boredom using Google Trends
    • [physics.soc-ph]How to restart? An agent-based simulation model towards the definition of strategies for COVID-19 “second phase” in public buildings
    • [physics.soc-ph]Spatiotemporal Analysis of Share Bike Usage during the COVID-19 Pandemic: a Case Study of Beijing
    • [q-bio.NC]A lite parametric model for the Hemodynamic Response Function
    • [q-bio.PE]COVID-19: Estimating spread in Spain solving an inverse problem with a probabilistic model
    • [q-bio.PE]Control with uncertain data of socially structured compartmental epidemic models
    • [q-bio.PE]SARS-COV-2 Pandemic: Understanding the Impact of Lockdown in the Most Affected States of India
    • [q-fin.CP]Avoiding zero probability events when computing Value at Risk contributions: a Malliavin calculus approach
    • [q-fin.TR]The What, When and Where of Limit Order Books
    • [stat.AP]A Bayesian binomial regression model with latent Gaussian processes for modelling DNA methylation
    • [stat.AP]Divergence-based robust inference under proportional hazards model for one-shot device life-test
    • [stat.AP]Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data
    • [stat.AP]Power divergence approach for one-shot device testing under competing risks
    • [stat.AP]Predicting Infection of COVID-19 in Japan: State Space Modeling Approach
    • [stat.AP]The more you ask, the less you get: the negative impact of collaborative overload on performance
    • [stat.ME]A Bayesian approach to regional decadal predictability: Sparse parameter estimation in high-dimensional linear inverse models of high-latitude sea surface temperature variability
    • [stat.ME]A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
    • [stat.ME]Causal Inference on Networks under Continuous Treatment Interference
    • [stat.ME]MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
    • [stat.ME]Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials
    • [stat.ME]Using reference models in variable selection
    • [stat.ML]A Linear Bandit for Seasonal Environments
    • [stat.ML]Bayesian inference of infected patients in group testing with prevalence estimation
    • [stat.ML]Compromise-free Bayesian neural networks
    • [stat.ML]Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
    • [stat.ML]Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices
    • [stat.ML]Estimating Full Lipschitz Constants of Deep Neural Networks
    • [stat.ML]Time Series Forecasting With Deep Learning: A Survey

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

    • [cs.AI]A general approach to progressive learning
    Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey E. Priebe
    http://arxiv.org/abs/2004.12908v2

    • [cs.AI]Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics
    Philippe Burlina, Neil Joshi, William Paul, Katia D. Pacheco, Neil M. Bressler
    http://arxiv.org/abs/2004.13515v1

    • [cs.AI]Augmented Behavioral Cloning from Observation
    Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo Barros
    http://arxiv.org/abs/2004.13529v1

    • [cs.AI]Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners
    Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
    http://arxiv.org/abs/2004.13291v1

    • [cs.AI]Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic
    Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
    http://arxiv.org/abs/2004.13242v1

    • [cs.AI]HAPRec: Hybrid Activity and Plan Recognizer
    Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado, Rodrigo C. Barros, Duncan Ruiz, Felipe Meneguzzi
    http://arxiv.org/abs/2004.13482v1

    • [cs.AI]Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling
    Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann
    http://arxiv.org/abs/2004.13439v1

    • [cs.AI]Optimizing AI for Teamwork
    Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
    http://arxiv.org/abs/2004.13102v1

    • [cs.AI]Pitfalls of learning a reward function online
    Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg
    http://arxiv.org/abs/2004.13654v1

    • [cs.AI]Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
    Leticia Decker, Daniel Leite, Luca Giommi, Daniele Bonacorsi
    http://arxiv.org/abs/2004.13527v1

    • [cs.AR]FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency
    Phat Nguyen, Arnav Kansal, Abhishek Taur, Mohamed Zahran, Abdullah Muzahid
    http://arxiv.org/abs/2004.13074v1

    • [cs.CL]$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
    Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng
    http://arxiv.org/abs/2004.13248v1

    • [cs.CL]A Named Entity Based Approach to Model Recipes
    Nirav Diwan, Devansh Batra, Ganesh Bagler
    http://arxiv.org/abs/2004.12184v1

    • [cs.CL]A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
    Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud’hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S Sharma, Patrick Littell
    http://arxiv.org/abs/2004.13203v1

    • [cs.CL]Active Learning for Coreference Resolution using Discrete Annotation
    Belinda Li, Gabriel Stanovsky, Luke Zettlemoyer
    http://arxiv.org/abs/2004.13671v1

    • [cs.CL]An Effective Transition-based Model for Discontinuous NER
    Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris
    http://arxiv.org/abs/2004.13454v1

    • [cs.CL]Assessing Discourse Relations in Language Generation from Pre-trained Language Models
    Wei-Jen Ko, Junyi Jessy Li
    http://arxiv.org/abs/2004.12506v2

    • [cs.CL]Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
    Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu
    http://arxiv.org/abs/2004.13270v1

    • [cs.CL]Autoencoding Word Representations through Time for Semantic Change Detection
    Adam Tsakalidis, Maria Liakata
    http://arxiv.org/abs/2004.13703v1

    • [cs.CL]Context-aware Helpfulness Prediction for Online Product Reviews
    Iyiola E. Olatunji, Xin Li, Wai Lam
    http://arxiv.org/abs/2004.13078v1

    • [cs.CL]Conversational Word Embedding for Retrieval-Based Dialog System
    Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/2004.13249v1

    • [cs.CL]DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
    Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir
    http://arxiv.org/abs/2004.13455v1

    • [cs.CL]Embarrassingly Simple Unsupervised Aspect Extraction
    Stéphan Tulkens, Andreas van Cranenburgh
    http://arxiv.org/abs/2004.13580v1

    • [cs.CL]Endowing Empathetic Dialogue Systems with Personas
    Peixiang Zhong, Yan Zhu, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao
    http://arxiv.org/abs/2004.12316v2

    • [cs.CL]Entity Type Prediction in Knowledge Graphs using Embeddings
    Russa Biswas, Radina Sofronova, Mehwish Alam, Harald Sack
    http://arxiv.org/abs/2004.13702v1

    • [cs.CL]Event Extraction by Answering (Almost) Natural Questions
    Xinya Du, Claire Cardie
    http://arxiv.org/abs/2004.13625v1

    • [cs.CL]Explicitly Modeling Adaptive Depths for Transformer
    Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu
    http://arxiv.org/abs/2004.13542v1

    • [cs.CL]Extending Multilingual BERT to Low-Resource Languages
    Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth
    http://arxiv.org/abs/2004.13640v1

    • [cs.CL]Introducing a framework to assess newly created questions with Natural Language Processing
    Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
    http://arxiv.org/abs/2004.13530v1

    • [cs.CL]Joint Keyphrase Chunking and Salience Ranking with BERT
    Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao
    http://arxiv.org/abs/2004.13639v1

    • [cs.CL]KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
    Jie Zhou, Xin Lv, Cheng Yang, Zhiyuan Liu, Juanzi Li, Maosong Sun
    http://arxiv.org/abs/2004.13631v1

    • [cs.CL]KoParadigm: A Korean Conjugation Paradigm Generator
    Kyubyong Park
    http://arxiv.org/abs/2004.13221v1

    • [cs.CL]Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
    Wenliang Dai, Tiezheng Yu, Zihan Liu, Pascale Fung
    http://arxiv.org/abs/2004.13432v1

    • [cs.CL]Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
    Yau-Shian Wang, Hung-Yi Lee, Yun-Nung Chen
    http://arxiv.org/abs/2004.13255v1

    • [cs.CL]Learning to Learn Morphological Inflection for Resource-Poor Languages
    Katharina Kann, Samuel R. Bowman, Kyunghyun Cho
    http://arxiv.org/abs/2004.13304v1

    • [cs.CL]Let’s be Humorous: Knowledge Enhanced Humor Generation
    Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo
    http://arxiv.org/abs/2004.13317v1

    • [cs.CL]LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
    Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin
    http://arxiv.org/abs/2004.13659v1

    • [cs.CL]MAVEN: A Massive General Domain Event Detection Dataset
    Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
    http://arxiv.org/abs/2004.13590v1

    • [cs.CL]MultiMix: A Robust Data Augmentation Strategy for Cross-Lingual NLP
    M Saiful Bari, Muhammad Tasnim Mohiuddin, Shafiq Joty
    http://arxiv.org/abs/2004.13240v1

    • [cs.CL]On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
    Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
    http://arxiv.org/abs/2004.12617v2

    • [cs.CL]PuzzLing Machines: A Challenge on Learning From Small Data
    Gözde Gül Şahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych
    http://arxiv.org/abs/2004.13161v1

    • [cs.CL]Recipes for building an open-domain chatbot
    Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, Jason Weston
    http://arxiv.org/abs/2004.13637v1

    • [cs.CL]Scheduled DropHead: A Regularization Method for Transformer Models
    Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou
    http://arxiv.org/abs/2004.13342v1

    • [cs.CL]Self-Attention with Cross-Lingual Position Representation
    Liang Ding, Longyue Wang, Dacheng Tao
    http://arxiv.org/abs/2004.13310v1

    • [cs.CL]Semantics-Aware Inferential Network for Natural Language Understanding
    Shuailiang Zhang, Hai Zhao, Junru Zhou
    http://arxiv.org/abs/2004.13338v1

    • [cs.CL]Showing Your Work Doesn’t Always Work
    Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin
    http://arxiv.org/abs/2004.13705v1

    • [cs.CL]Simultaneous Translation Policies: From Fixed to Adaptive
    Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang
    http://arxiv.org/abs/2004.13169v1

    • [cs.CL]The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
    Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal
    http://arxiv.org/abs/2004.13606v1

    • [cs.CL]Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data
    Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael Cafarella, Jacob Andreas
    http://arxiv.org/abs/2004.13645v1

    • [cs.CL]Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
    Katharina Kann, Ophélie Lacroix, Anders Søgaard
    http://arxiv.org/abs/2004.13305v1

    • [cs.CL]Word Interdependence Exposes How LSTMs Compose Representations
    Naomi Saphra, Adam Lopez
    http://arxiv.org/abs/2004.13195v1

    • [cs.CL]Would You Like Sashimi Even If It’s Sliced Too Thin? Selective Neural Attention for Aspect Targeted Sentiment Analysis (SNAT)
    Zhe Zhang, Chung-Wei Hang, Munindar P. Singh
    http://arxiv.org/abs/2004.13150v1

    • [cs.CR]Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
    Alex Habeen Chang, Benjamin M. Case
    http://arxiv.org/abs/2004.13263v1

    • [cs.CR]User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing
    Elissa M. Redmiles
    http://arxiv.org/abs/2004.13219v1

    • [cs.CV]3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
    Valentin Oreiller, Vincent~Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge
    http://arxiv.org/abs/2004.13371v1

    • [cs.CV]A Disentangling Invertible Interpretation Network for Explaining Latent Representations
    Patrick Esser, Robin Rombach, Björn Ommer
    http://arxiv.org/abs/2004.13166v1

    • [cs.CV]A Novel Attention-based Aggregation Function to Combine Vision and Language
    Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
    http://arxiv.org/abs/2004.13073v1

    • [cs.CV]A generic and efficient convolutional neural network accelerator using HLS for a system on chip design
    Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen
    http://arxiv.org/abs/2004.13075v1

    • [cs.CV]A novel Region of Interest Extraction Layer for Instance Segmentation
    Leonardo Rossi, Akbar Karimi, Andrea Prati
    http://arxiv.org/abs/2004.13665v1

    • [cs.CV]Compact retail shelf segmentation for mobile deployment
    Pratyush Kumar, Muktabh Mayank Srivastava
    http://arxiv.org/abs/2004.13094v1

    • [cs.CV]Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
    Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
    http://arxiv.org/abs/2004.13236v1

    • [cs.CV]DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
    Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
    http://arxiv.org/abs/2004.13458v1

    • [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/2004.13587v1

    • [cs.CV]Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset
    Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang
    http://arxiv.org/abs/2004.13652v1

    • [cs.CV]Exploring Self-attention for Image Recognition
    Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
    http://arxiv.org/abs/2004.13621v1

    • [cs.CV]GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
    Kritik Soman
    http://arxiv.org/abs/2004.13060v1

    • [cs.CV]Gradient-Induced Co-Saliency Detection
    Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
    http://arxiv.org/abs/2004.13364v1

    • [cs.CV]Graph2Plan: Learning Floorplan Generation from Layout Graphs
    Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang, Hui Huang
    http://arxiv.org/abs/2004.13204v1

    • [cs.CV]Inferring Temporal Compositions of Actions Using Probabilistic Automata
    Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, Stephen Gould
    http://arxiv.org/abs/2004.13217v1

    • [cs.CV]Learning Feature Descriptors using Camera Pose Supervision
    Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely
    http://arxiv.org/abs/2004.13324v1

    • [cs.CV]Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
    Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid
    http://arxiv.org/abs/2004.13449v1

    • [cs.CV]Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
    Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang
    http://arxiv.org/abs/2004.13388v1

    • [cs.CV]Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size Estimation
    Jiangpeng He, Zeman Shao, Janine Wright, Deborah Kerr, Carol Boushey, Fengqing Zhu
    http://arxiv.org/abs/2004.13188v1

    • [cs.CV]Multivariate Confidence Calibration for Object Detection
    Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff
    http://arxiv.org/abs/2004.13546v1

    • [cs.CV]Neural Hair Rendering
    Menglei Chai, Jian Ren, Sergey Tulyakov
    http://arxiv.org/abs/2004.13297v1

    • [cs.CV]Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
    Vittorio Mazzia, Francesco Salvetti, Aleem Khaliq, Marcello Chiaberge
    http://arxiv.org/abs/2004.13410v1

    • [cs.CV]Revisiting Multi-Task Learning in the Deep Learning Era
    Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/2004.13379v1

    • [cs.CV]SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
    Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He
    http://arxiv.org/abs/2004.13316v1

    • [cs.CV]Self-Supervised Attention Learning for Depth and Ego-motion Estimation
    Assem Sadek, Boris Chidlovskii
    http://arxiv.org/abs/2004.13077v1

    • [cs.CV]Small-Task Incremental Learning
    Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
    http://arxiv.org/abs/2004.13513v1

    • [cs.CV]Style-transfer GANs for bridging the domain gap in synthetic pose estimator training
    Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper
    http://arxiv.org/abs/2004.13681v1

    • [cs.CV]The Problem of Fragmented Occlusion in Object Detection
    Julian Pegoraro, Roman Pflugfelder
    http://arxiv.org/abs/2004.13076v1

    • [cs.CV]Trainable Activation Function Supported CNN in Image Classification
    Zhaohe Liao
    http://arxiv.org/abs/2004.13271v1

    • [cs.CV]Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation
    Zhongyi Han, Benzheng Wei, Yilong Yin, Shuo Li
    http://arxiv.org/abs/2004.13577v1

    • [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/2004.13278v1

    • [cs.CY]A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting
    Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha, Yehia Massoud
    http://arxiv.org/abs/2004.13251v1

    • [cs.CY]Don’t Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
    Jonathan P. Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil
    http://arxiv.org/abs/2004.13609v1

    • [cs.CY]Lights and shadows of COVID-19, Technology and Industry 4.0
    Nicola Melluso, Silvia Fareri, Gualtiero Fantoni, Andrea Bonaccorsi, Filippo Chiarello, Elena Coli, Vito Giordano, Pietro Manfredi, Shahin Manafi
    http://arxiv.org/abs/2004.13457v1

    • [cs.CY]Value-based Engineering for Ethics by Design
    Sarah Spiekermann, Till Winkler
    http://arxiv.org/abs/2004.13676v1

    • [cs.DB]Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data — Full Version
    Peeyush Gupta, Yin Li, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Sumaya Almanee
    http://arxiv.org/abs/2004.13115v1

    • [cs.DB]Towards an Integrated Platform for Big Data Analysis
    Mahdi Bohlouli, Frank Schulz, Lefteris Angelis, David Pahor, Ivona Brandic, David Atlan, Rosemary Tate
    http://arxiv.org/abs/2004.13021v1

    • [cs.DC]Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training
    Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake Hechtman, Shibo Wang
    http://arxiv.org/abs/2004.13336v1

    • [cs.DC]Cpp-Taskflow v2: A General-purpose Parallel and Heterogeneous Task Programming System at Scale
    Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin
    http://arxiv.org/abs/2004.10908v2

    • [cs.DC]Efficient GPU Thread Mapping on Embedded 2D Fractals
    Cristóbal A. Navarro, Felipe A. Quezada, Nancy Hitschfeld, Raimundo Vega, Benjamin Bustos
    http://arxiv.org/abs/2004.13475v1

    • [cs.DC]Enabling EASEY deployment of containerized applications for future HPC systems
    Maximilian Höb, Dieter Kranzlmüller
    http://arxiv.org/abs/2004.13373v1

    • [cs.DC]Online Payments by Merely Broadcasting Messages (Extended Version)
    Daniel Collins, Rachid Guerraoui, Jovan Komatovic, Matteo Monti, Athanasios Xygkis, Matej Pavlovic, Petr Kuznetsov, Yvonne-Anne Pignolet, Dragos-Adrian Seredinschi, Andrei Tonkikh
    http://arxiv.org/abs/2004.13184v1

    • [cs.DC]Parasite Chain Detection in the IOTA Protocol
    Andreas Penzkofer, Bartosz Kusmierz, Angelo Capossele, William Sanders, Olivia Saa
    http://arxiv.org/abs/2004.13409v1

    • [cs.DC]The Dark Side of Unikernels for Machine Learning
    Matthew Leon
    http://arxiv.org/abs/2004.13081v1

    • [cs.DC]Two-Stage Robust Edge Service Placement and Sizing under Demand Uncertainty
    Duong Tung Nguyen, Hieu Trung Nguyen, Ni Trieu, Vijay K. Bhargava
    http://arxiv.org/abs/2004.13218v1

    • [cs.DS]Batched Predecessor and Sorting with Size-Priced Information in External Memory
    Michael A. Bender, Mayank Goswami, Dzejla Mededovic, Pablo Montes, Kostas Tsichlas
    http://arxiv.org/abs/2004.13197v1

    • [cs.DS]Learning Lines with Ordinal Constraints
    Diego Ihara Centurion, Bohan Fan, Francesco Sgherzi, Anastasios Sidiropoulos
    http://arxiv.org/abs/2004.13202v1

    • [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/2004.13259v1

    • [cs.HC]The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
    Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha
    http://arxiv.org/abs/2004.12388v2

    • [cs.IR]A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting
    Bhawani Selvaretnam, Mohammed Belkhatir
    http://arxiv.org/abs/2004.13481v1

    • [cs.IR]A session-based song recommendation approach involving user characterization along the play power-law distribution
    Diego Sánchez-Moreno, Vivian F. López Batista, M. Dolores Muñoz Vicente, Ana B. Gil González, María N. Moreno-García
    http://arxiv.org/abs/2004.13007v1

    • [cs.IR]Automatic Textual Evidence Mining in COVID-19 Literature
    Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han
    http://arxiv.org/abs/2004.12563v2

    • [cs.IR]Choppy: Cut Transformer For Ranked List Truncation
    Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
    http://arxiv.org/abs/2004.13012v1

    • [cs.IR]CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network
    Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei
    http://arxiv.org/abs/2004.13401v1

    • [cs.IR]Conversational Question Answering over Passages by Leveraging Word Proximity Networks
    Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
    http://arxiv.org/abs/2004.13117v1

    • [cs.IR]EARL: Speedup Transformer-based Rankers with Pre-computed Representation
    Luyu Gao, Zhuyun Dai, Jamie Callan
    http://arxiv.org/abs/2004.13313v1

    • [cs.IR]Evaluating Stochastic Rankings with Expected Exposure
    Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
    http://arxiv.org/abs/2004.13157v1

    • [cs.IR]On the Reliability of Test Collections for Evaluating Systems of Different Types
    Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
    http://arxiv.org/abs/2004.13486v1

    • [cs.IR]Unbiased Learning to Rank: Online or Offline?
    Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
    http://arxiv.org/abs/2004.13574v1

    • [cs.IT]Bounds for list-decoding and list-recovery of random linear codes
    Venkatesan Guruswami, Ray Li, Jonathan Mosheiff, Nicolas Resch, Shashwat Silas, Mary Wootters
    http://arxiv.org/abs/2004.13247v1

    • [cs.IT]Communication Complexity of the Secret Key Agreement in Algorithmic Information Theory
    Emirhan Gürpınar, Andrei Romashchenko
    http://arxiv.org/abs/2004.13411v1

    • [cs.IT]Coverage Improvement of Wireless Sensor Networks via Spatial Profile Information
    Kaushlendra Pandey, Abhishek Gupta
    http://arxiv.org/abs/2004.13114v1

    • [cs.IT]Deep Reinforcement Learning Based Spectrum Allocation in Integrated Access and Backhaul Networks
    Wanlu Lei, Yu Ye, Ming Xiao
    http://arxiv.org/abs/2004.13133v1

    • [cs.IT]Hybrid Active/Passive Wireless Network Aided by Intelligent Reflecting Surface: System Modeling and Performance Analysis
    Jiangbin Lyu, Rui Zhang
    http://arxiv.org/abs/2004.13318v1

    • [cs.IT]Nested Tailbiting Convolutional Codes for Secrecy, Privacy, and Storage
    Thomas Jerkovits, Onur Günlü, Vladimir Sidorenko, Gerhard Kramer
    http://arxiv.org/abs/2004.13095v1

    • [cs.IT]UAV-to-Ground Communications: Channel Modeling and UAV Selection
    Petros S. Bithas, Viktor Nikolaidis, Athanasios G. Kanatas, George K. Karagiannidis
    http://arxiv.org/abs/2004.13618v1

    • [cs.LG]A Doubly Regularized Linear Discriminant Analysis Classifier with Automatic Parameter Selection
    Alam Zaib, Tarig Ballal, Shahid Khattak, Tareq Y. Al-Naffouri
    http://arxiv.org/abs/2004.13335v1

    • [cs.LG]A new effective and efficient measure for outlying aspect mining
    Durgesh Samariya, Kai Ming Ting, Sunil Aryal
    http://arxiv.org/abs/2004.13550v1

    • [cs.LG]Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
    Pranjal Awasthi, Natalie Frank, Mehryar Mohri
    http://arxiv.org/abs/2004.13617v1

    • [cs.LG]An ASP-Based Approach to Counterfactual Explanations for Classification
    Leopoldo Bertossi
    http://arxiv.org/abs/2004.13237v1

    • [cs.LG]An Explainable Deep Learning-based Prognostic Model for Rotating Machinery
    Namkyoung Lee, Michael H. Azarian, Michael G. Pecht
    http://arxiv.org/abs/2004.13608v1

    • [cs.LG]An exposition to the finiteness of fibers in matrix completion via Plücker coordinates
    Manolis C. Tsakiris
    http://arxiv.org/abs/2004.12430v2

    • [cs.LG]Application of Deep Interpolation Network for Clustering of Physiologic Time Series
    Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, M. Ruppert, Ziyuan Guan, Dapeng Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
    http://arxiv.org/abs/2004.13066v1

    • [cs.LG]Clustering via torque balance with mass and distance
    Jie Yang, Chin-Teng Lin
    http://arxiv.org/abs/2004.13160v1

    • [cs.LG]Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
    Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa
    http://arxiv.org/abs/2004.13245v1

    • [cs.LG]Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
    Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
    http://arxiv.org/abs/2004.13701v1

    • [cs.LG]Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach
    Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki, Emilio Ferrara
    http://arxiv.org/abs/2004.13277v1

    • [cs.LG]EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
    Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X. -D. Tan
    http://arxiv.org/abs/2004.13181v1

    • [cs.LG]Efficient Inverse-Free Incremental and Decremental Algorithms for Multiple Hidden Nodes in Extreme Learning Machine
    Hufei Zhu
    http://arxiv.org/abs/2004.13023v1

    • [cs.LG]Energy-based models for atomic-resolution protein conformations
    Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives
    http://arxiv.org/abs/2004.13167v1

    • [cs.LG]FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training
    Sangkug Lym, Mattan Erez
    http://arxiv.org/abs/2004.13027v1

    • [cs.LG]Heterogeneous Representation Learning: A Review
    Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong
    http://arxiv.org/abs/2004.13303v1

    • [cs.LG]Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
    Ilya Kostrikov, Denis Yarats, Rob Fergus
    http://arxiv.org/abs/2004.13649v1

    • [cs.LG]Improving Sample Complexity Bounds for Actor-Critic Algorithms
    Tengyu Xu, Zhe Wang, Yingbin Liang
    http://arxiv.org/abs/2004.12956v2

    • [cs.LG]Learning to Rank in the Position Based Model with Bandit Feedback
    Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
    http://arxiv.org/abs/2004.13106v1

    • [cs.LG]Machine Learning Based Mobile Network Throughput Classification
    Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen
    http://arxiv.org/abs/2004.13148v1

    • [cs.LG]Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks
    Ismail Bilgen, Goktug Guvercin, Islem Rekik
    http://arxiv.org/abs/2004.13321v1

    • [cs.LG]Meta-Learning for Few-Shot Land Cover Classification
    Marc Rußwurm, Sherrie Wang, Marco Körner, David Lobell
    http://arxiv.org/abs/2004.13390v1

    • [cs.LG]Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
    Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang
    http://arxiv.org/abs/2004.13465v1

    • [cs.LG]Out-of-Sample Representation Learning for Multi-Relational Graphs
    Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
    http://arxiv.org/abs/2004.13230v1

    • [cs.LG]Privacy Guidelines for Contact Tracing Applications
    Manish Shukla, Rajan M A, Sachin Lodha, Gautam Shroff, Ramesh Raskar
    http://arxiv.org/abs/2004.13328v1

    • [cs.LG]Private Dataset Generation Using Privacy Preserving Collaborative Learning
    Amit Chaulwar
    http://arxiv.org/abs/2004.13598v1

    • [cs.LG]Pseudo Rehearsal using non photo-realistic images
    Bhasker Sri Harsha Suri, Kalidas Yeturu
    http://arxiv.org/abs/2004.13414v1

    • [cs.LG]Robust Generative Adversarial Network
    Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He
    http://arxiv.org/abs/2004.13344v1

    • [cs.LG]Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
    Katya Kudashkina, Valliappa Chockalingam, Graham W. Taylor, Michael Bowling
    http://arxiv.org/abs/2004.13657v1

    • [cs.LG]Some people aren’t worth listening to: periodically retraining classifiers with feedback from a team of end users
    Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso
    http://arxiv.org/abs/2004.13152v1

    • [cs.LG]The Immersion of Directed Multi-graphs in Embedding Fields. Generalisations
    Bogdan Bocse, Ioan Radu Jinga
    http://arxiv.org/abs/2004.13384v1

    • [cs.LG]VIGN: Variational Integrator Graph Networks
    Shaan Desai, Stephen Roberts
    http://arxiv.org/abs/2004.13688v1

    • [cs.LG]Visual Grounding of Learned Physical Models
    Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba
    http://arxiv.org/abs/2004.13664v1

    • [cs.MM]SSIM-Based CTU-Level Joint Optimal Bit Allocation and Rate Distortion Optimization
    Yang Li, Xuanqin Mou
    http://arxiv.org/abs/2004.13369v1

    • [cs.NE]Angle-based Search Space Shrinking for Neural Architecture Search
    Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun
    http://arxiv.org/abs/2004.13431v1

    • [cs.NE]Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
    Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen Pilly, Andrea Soltoggio
    http://arxiv.org/abs/2004.12846v2

    • [cs.NE]Genetic programming approaches to learning fair classifiers
    William La Cava, Jason H. Moore
    http://arxiv.org/abs/2004.13282v1

    • [cs.NE]Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning
    Richard C. Gerum, Achim Schilling
    http://arxiv.org/abs/2004.13532v1

    • [cs.NI]Campus Traffic and e-Learning during COVID-19 Pandemic
    Thomas Favale, Francesca Soro, Martino Trevisan, Idilio Drago, Marco Mellia
    http://arxiv.org/abs/2004.13569v1

    • [cs.RO]Control Design of Autonomous Drone Using Deep Learning Based Image Understanding Techniques
    Seid Miad Zandavi, Vera Chung, Ali Anaissi
    http://arxiv.org/abs/2004.12886v2

    • [cs.RO]Transferable Active Grasping and Real Embodied Dataset
    Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu
    http://arxiv.org/abs/2004.13358v1

    • [cs.SD]Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise
    Shan Yang, Yuxuan Wang, Lei Xie
    http://arxiv.org/abs/2004.13595v1

    • [cs.SE]Fast and Memory-Efficient Neural Code Completion
    Alexey Svyatkovskoy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Franco, Miltiadis Allamanis
    http://arxiv.org/abs/2004.13651v1

    • [cs.SE]Internet of Things Architectures: A Comparative Study
    Marcela G. dos Santos, Darine Ameyed, Fabio Petrillo, Fehmi Jaafar, Mohamed Cheriet
    http://arxiv.org/abs/2004.12936v1

    • [cs.SE]Modeling the Raft Distributed Consensus Protocol in LNT
    Hugues Evrard
    http://arxiv.org/abs/2004.13284v1

    • [cs.SE]SCELMo: Source Code Embeddings from Language Models
    Rafael - Michael Karampatsis, Charles Sutton
    http://arxiv.org/abs/2004.13214v1

    • [cs.SI]Effects of Assortativity on Consensus Formation with Heterogeneous Agents
    Ece Çiğdem Mutlu, Ivan Garibay
    http://arxiv.org/abs/2004.13131v1

    • [cs.SI]Mobility Based SIR Model For Pandemics — With Case Study Of COVID-19
    Rahul Goel, Rajesh Sharma
    http://arxiv.org/abs/2004.13015v1

    • [cs.SI]Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation
    Ece Çiğdem Mutlu, Toktam Oghaz, Ege Tütüncüler, Jasser Jasser, Ivan Garibay
    http://arxiv.org/abs/2004.13142v1

    • [econ.GN]How do online consumers review negatively?
    Menghan Sun, Jichang Zhao
    http://arxiv.org/abs/2004.13463v1

    • [econ.GN]The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
    Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
    http://arxiv.org/abs/2004.13332v1

    • [eess.AS]Autoencoding Neural Networks as Musical Audio Synthesizers
    Joseph Colonel, Christopher Curro, Sam Keene
    http://arxiv.org/abs/2004.13172v1

    • [eess.AS]Detect Language of Transliterated Texts
    Sourav Sen
    http://arxiv.org/abs/2004.13521v1

    • [eess.AS]Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition
    Li Fu, Xiaoxiao Li, Libo Zi
    http://arxiv.org/abs/2004.13522v1

    • [eess.IV]A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
    Anjali Balagopal, Dan Nguyen, Howard Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve Jiang
    http://arxiv.org/abs/2004.13294v1

    • [eess.IV]A scoping review of transfer learning research on medical image analysis using ImageNet
    Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
    http://arxiv.org/abs/2004.13175v1

    • [eess.IV]DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
    Mina Jafari, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
    http://arxiv.org/abs/2004.13453v1

    • [eess.IV]FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
    Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
    http://arxiv.org/abs/2004.13470v1

    • [eess.IV]Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
    Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni
    http://arxiv.org/abs/2004.13567v1

    • [eess.IV]Identification of Cervical Pathology using Adversarial Neural Networks
    Abhilash Nandy, Rachana Sathish, Debdoot Sheet
    http://arxiv.org/abs/2004.13406v1

    • [eess.IV]LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
    Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
    http://arxiv.org/abs/2004.13173v1

    • [eess.IV]Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
    Jie Cai, Zibo Meng, Chiu Man Ho
    http://arxiv.org/abs/2004.13674v1

    • [eess.SP]Communication-Efficient Edge AI Inference Over Wireless Networks
    Kai Yang, Yong Zhou, Zhanpeng Yang, Yuanming Shi
    http://arxiv.org/abs/2004.13351v1

    • [eess.SP]Comparison of Windowed-Decoder Configurations for Spatially Coupled LDPC Codes Under Equal-Complexity Constraints
    Janik Frenzel, Stefan Müller-Weinfurtner, Johannes Huber, Ralf Müller
    http://arxiv.org/abs/2004.12973v1

    • [eess.SP]Ensemble long short-term memory (EnLSTM) network
    Yuntian Chen, Dongxiao Zhang
    http://arxiv.org/abs/2004.13562v1

    • [eess.SP]Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction
    Seyed Fouad Karimian, Ramin Moradi, Sergio Cofre-Martel, Katrina M. Groth, Mohammad Modarres
    http://arxiv.org/abs/2004.13556v1

    • [eess.SY]Uncertainty of Resilience in Complex Networks with Nonlinear Dynamics
    Giannis Moutsinas, Mengbang Zou, Weisi Guo
    http://arxiv.org/abs/2004.13198v1

    • [math.DS]Forty New Invariants of N-Periodics in the Elliptic Billiard
    Dan Reznik, Ronaldo Garcia, Jair Koiller
    http://arxiv.org/abs/2004.12497v2

    • [math.DS]Related by Similiarity: Poristic Triangles and 3-Periodics in the Elliptic Billiard
    Ronaldo Garcia, Dan Reznik
    http://arxiv.org/abs/2004.13509v1

    • [math.NA]Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
    Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
    http://arxiv.org/abs/2004.12670v2

    • [math.OC]Distributed Projected Subgradient Method for Weakly Convex Optimization
    Shixiang Chen, Alfredo Garcia, Shahin Shahrampour
    http://arxiv.org/abs/2004.13233v1

    • [math.OC]The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent
    Xin Qian, Diego Klabjan
    http://arxiv.org/abs/2004.13146v1

    • [math.PR]Correlated randomly growing graphs
    Miklos Z. Racz, Anirudh Sridhar
    http://arxiv.org/abs/2004.13537v1

    • [math.ST]Testing for spherical and elliptical symmetry
    Isaia Albisetti, Fadoua Balabdaoui, Hajo Holzmann
    http://arxiv.org/abs/2004.13151v1

    • [physics.soc-ph]Assessing the impact of the coronavirus lockdown on unhappiness, loneliness, and boredom using Google Trends
    Abel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthavee
    http://arxiv.org/abs/2004.12129v1

    • [physics.soc-ph]How to restart? An agent-based simulation model towards the definition of strategies for COVID-19 “second phase” in public buildings
    Marco D’Orazio, Gabriele Bernardini, Enrico Quagliarini
    http://arxiv.org/abs/2004.12927v1

    • [physics.soc-ph]Spatiotemporal Analysis of Share Bike Usage during the COVID-19 Pandemic: a Case Study of Beijing
    Xinwei Chai, Xian Guo, Jihua Xiao, Jie Jiang
    http://arxiv.org/abs/2004.12340v1

    • [q-bio.NC]A lite parametric model for the Hemodynamic Response Function
    Manuel Morante
    http://arxiv.org/abs/2004.13361v1

    • [q-bio.PE]COVID-19: Estimating spread in Spain solving an inverse problem with a probabilistic model
    Marcos Matabuena, Carlos Meijide-García, Pablo Rodríguez-Mier, Víctor Leborán
    http://arxiv.org/abs/2004.13695v1

    • [q-bio.PE]Control with uncertain data of socially structured compartmental epidemic models
    G. Albi, L. Pareschi, M. Zanella
    http://arxiv.org/abs/2004.13067v1

    • [q-bio.PE]SARS-COV-2 Pandemic: Understanding the Impact of Lockdown in the Most Affected States of India
    Chinmay Patwardhan
    http://arxiv.org/abs/2004.13632v1

    • [q-fin.CP]Avoiding zero probability events when computing Value at Risk contributions: a Malliavin calculus approach
    Yuri F. Saporito, Rodrigo S. Targino
    http://arxiv.org/abs/2004.13235v1

    • [q-fin.TR]The What, When and Where of Limit Order Books
    Johannes Bleher, Michael Bleher, Thomas Dimpfl
    http://arxiv.org/abs/2004.11953v1

    • [stat.AP]A Bayesian binomial regression model with latent Gaussian processes for modelling DNA methylation
    Aliaksandr Hubin, Geir O Storvik, Paul E Grini, Melinka A Butenko
    http://arxiv.org/abs/2004.13689v1

    • [stat.AP]Divergence-based robust inference under proportional hazards model for one-shot device life-test
    N. Balakrishnan, E. Castilla, N. Martin, L. Pardo
    http://arxiv.org/abs/2004.13382v1

    • [stat.AP]Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data
    Johannes Schumacher, Marius Hauglin, Rasmus Astrup, Johannes Breidenbach
    http://arxiv.org/abs/2004.13427v1

    • [stat.AP]Power divergence approach for one-shot device testing under competing risks
    N. Balakrishnan, E. Castilla, N. Martin, L. Pardo
    http://arxiv.org/abs/2004.13372v1

    • [stat.AP]Predicting Infection of COVID-19 in Japan: State Space Modeling Approach
    Genya Kobayashi, Shonosuke Sugasawa, Hiromasa Tamae, Takayuki Ozu
    http://arxiv.org/abs/2004.13483v1

    • [stat.AP]The more you ask, the less you get: the negative impact of collaborative overload on performance
    Anna Velyka, Marco Guerzoni
    http://arxiv.org/abs/2004.13545v1

    • [stat.ME]A Bayesian approach to regional decadal predictability: Sparse parameter estimation in high-dimensional linear inverse models of high-latitude sea surface temperature variability
    Dallas Foster, Darin Comeau, Nathan M. Urban
    http://arxiv.org/abs/2004.13105v1

    • [stat.ME]A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
    Konstantina Chalkou, Ewout Steyerberg, Matthias Egger, Andrea Manca, Fabio Pellegrini, Georgia Salanti
    http://arxiv.org/abs/2004.13464v1

    • [stat.ME]Causal Inference on Networks under Continuous Treatment Interference
    Davide Del Prete, Laura Forastiere, Valerio Leone Sciabolazza
    http://arxiv.org/abs/2004.13459v1

    • [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/2004.13446v1

    • [stat.ME]Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials
    Devan V. Mehrotra, Rachel Marceau West
    http://arxiv.org/abs/2004.13611v1

    • [stat.ME]Using reference models in variable selection
    Federico Pavone, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
    http://arxiv.org/abs/2004.13118v1

    • [stat.ML]A Linear Bandit for Seasonal Environments
    Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella
    http://arxiv.org/abs/2004.13576v1

    • [stat.ML]Bayesian inference of infected patients in group testing with prevalence estimation
    Ayaka Sakata
    http://arxiv.org/abs/2004.13667v1

    • [stat.ML]Compromise-free Bayesian neural networks
    Kamran Javid, Will Handley, Mike Hobson, Anthony Lasenby
    http://arxiv.org/abs/2004.12211v2

    • [stat.ML]Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
    Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar
    http://arxiv.org/abs/2004.13314v1

    • [stat.ML]Denise: Deep Learning based Robust PCA for Positive Semidefinite Matrices
    Calypso Herrera, Florian Krach, Josef Teichmann
    http://arxiv.org/abs/2004.13612v1

    • [stat.ML]Estimating Full Lipschitz Constants of Deep Neural Networks
    Calypso Herrera, Florian Krach, Josef Teichmann
    http://arxiv.org/abs/2004.13135v1

    • [stat.ML]Time Series Forecasting With Deep Learning: A Survey
    Bryan Lim, Stefan Zohren
    http://arxiv.org/abs/2004.13408v1