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
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• [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