cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.optics - 光学 q-bio.QM - 定量方法 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles
• [cs.AI]Flexible and Efficient Long-Range Planning Through Curious Exploration
• [cs.AI]Human-Machine Collaboration for Democratizing Data Science
• [cs.AI]Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility
• [cs.AI]Tension Space Analysis for Emergent Narrative
• [cs.CE]From Physics-based models to Predictive Digital Twins via Interpretable Machine Learning
• [cs.CG]The Weighted Euler Curve Transform for Shape and Image Analysis
• [cs.CL]Adaptive Forgetting Curves for Spaced Repetition Language Learning
• [cs.CL]Correct Me If You Can: Learning from Error Corrections and Markings
• [cs.CL]Coupled intrinsic and extrinsic human language resource-based query expansion
• [cs.CL]Coupling semantic and statistical techniques for dynamically enriching web ontologies
• [cs.CL]Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
• [cs.CL]DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models
• [cs.CL]Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
• [cs.CL]Learning Dialog Policies from Weak Demonstrations
• [cs.CL]Learning to Classify Intents and Slot Labels Given a Handful of Examples
• [cs.CL]On Adversarial Examples for Biomedical NLP Tasks
• [cs.CL]ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts
• [cs.CL]Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
• [cs.CL]Preserving the Hypernym Tree of WordNet in Dense Embeddings
• [cs.CL]QURIOUS: Question Generation Pretraining for Text Generation
• [cs.CL]Rapidly Bootstrapping a Question Answering Dataset for COVID-19
• [cs.CL]Revisiting the Context Window for Cross-lingual Word Embeddings
• [cs.CL]Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model
• [cs.CL]Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
• [cs.CL]Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
• [cs.CL]Syntactic Structure from Deep Learning
• [cs.CL]Visual Question Answering Using Semantic Information from Image Descriptions
• [cs.CL]What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
• [cs.CR]Encoding Power Traces as Images for Efficient Side-Channel Analysis
• [cs.CR]Performance Evaluation of Secure Multi-party Computation on Heterogeneous Nodes
• [cs.CV]Action recognition in real-world videos
• [cs.CV]BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
• [cs.CV]Cloud-Based Face and Speech Recognition for Access Control Applications
• [cs.CV]Continual Learning of Object Instances
• [cs.CV]Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
• [cs.CV]DAN: A Deformation-Aware Network for Consecutive Biomedical Image Interpolation
• [cs.CV]Depth-Wise Neural Architecture Search
• [cs.CV]Detection and Classification of Industrial Signal Lights for Factory Floors
• [cs.CV]Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
• [cs.CV]Distilling Knowledge from Refinement in Multiple Instance Detection Networks
• [cs.CV]Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
• [cs.CV]Fast Convex Relaxations using Graph Discretizations
• [cs.CV]Few-Shot Class-Incremental Learning
• [cs.CV]Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
• [cs.CV]Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
• [cs.CV]Location-Aware Feature Selection for Scene Text Detection
• [cs.CV]PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
• [cs.CV]PolyLaneNet: Lane Estimation via Deep Polynomial Regression
• [cs.CV]Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
• [cs.CV]Self-supervised Learning for Astronomical Image Classification
• [cs.CV]SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
• [cs.CV]Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
• [cs.CV]SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
• [cs.CV]Single-View View Synthesis with Multiplane Images
• [cs.CV]The Creation and Detection of Deepfakes: A Survey
• [cs.CV]Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
• [cs.CV]Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image
• [cs.CV]Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
• [cs.CV]YOLOv4: Optimal Speed and Accuracy of Object Detection
• [cs.CY]Impact of Bias on School Admissions and Targeted Interventions
• [cs.DB]Qd-tree: Learning Data Layouts for Big Data Analytics
• [cs.DC]Accurate runtime selection of optimal MPI collective algorithms using analytical performance modelling
• [cs.DC]Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack
• [cs.DC]Cpp-Taskflow: A General-purpose Parallel and Heterogeneous Task Programming System at Scale
• [cs.DC]Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite
• [cs.DC]Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
• [cs.DC]OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints
• [cs.DL]Visible Insights of the Invisible Pandemic: A Scientometric, Altmetric and Topic Trend Analysis
• [cs.DS]Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
• [cs.DS]Non-Adaptive Adaptive Sampling on Turnstile Streams
• [cs.DS]Scheduling Precedence-Constrained Jobs on Related Machines with Communication Delay
• [cs.IR]Distilling Knowledge for Fast Retrieval-based Chat-bots
• [cs.IR]Natural language technology and query expansion: issues, state-of-the-art and perspectives
• [cs.IR]Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
• [cs.IT]Age-of-Information with Information Source Diversity in an Energy Harvesting System
• [cs.IT]Developing Concurrent Coding: An unconventional encoding scheme applied to visible light communications
• [cs.IT]Measuring Information Leakage in Non-stochastic Brute-Force Guessing
• [cs.IT]On Relations Between the Relative entropy and $χ^2$—Divergence, Generalizations and Applications
• [cs.IT]Outage Analysis of Cognitive Electric Vehicular Networks over Mixed RF/VLC Channels
• [cs.IT]Sum Rate Maximization for IRS-assisted Uplink NOMA
• [cs.IT]UAV-Enabled Data Collection for Wireless Sensor Networks with Distributed Beamforming
• [cs.LG]A Complete Characterization of Projectivity for Statistical Relational Models
• [cs.LG]A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
• [cs.LG]A Neural Scaling Law from the Dimension of the Data Manifold
• [cs.LG]Adversarial examples and where to find them
• [cs.LG]Applications of shapelet transform to time series classification of earthquake, wind and wave data
• [cs.LG]ArchNet: Data Hiding Model in Distributed Machine Learning System
• [cs.LG]Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations
• [cs.LG]AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
• [cs.LG]Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking
• [cs.LG]Classification using Hyperdimensional Computing: A Review
• [cs.LG]Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
• [cs.LG]Deep Learning Classification With Noisy Labels
• [cs.LG]Deep Learning of Chaos Classification
• [cs.LG]Doubly-stochastic mining for heterogeneous retrieval
• [cs.LG]Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding
• [cs.LG]Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices
• [cs.LG]Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
• [cs.LG]Learning a Formula of Interpretability to Learn Interpretable Formulas
• [cs.LG]Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
• [cs.LG]Metric-Learning-Assisted Domain Adaptation
• [cs.LG]On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints
• [cs.LG]Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning
• [cs.LG]Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
• [cs.LG]Private Query Release Assisted by Public Data
• [cs.LG]QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks
• [cs.LG]Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base
• [cs.LG]SIGN: Scalable Inception Graph Neural Networks
• [cs.LG]Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach
• [cs.LG]Supervised Contrastive Learning
• [cs.LG]Supervised Domain Adaptation: Were we doing Graph Embedding all along?
• [cs.LG]TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
• [cs.LG]Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
• [cs.NE]Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D
• [cs.NE]CoInGP: Convolutional Inpainting with Genetic Programming
• [cs.NE]Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions
• [cs.NE]Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design
• [cs.NE]Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
• [cs.NE]gBeam-ACO: a greedy and faster variant of Beam-ACO
• [cs.RO]Enabling Human-Robot Collaboration via Holistic Human Perception and Partner-Aware Control
• [cs.RO]Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System
• [cs.RO]Hybrid Control from Scratch: A Design Methodology for Assured Robotic Missions
• [cs.RO]Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
• [cs.RO]Multi-task closed-loop inverse kinematics stability through semidefinite programming
• [cs.RO]OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors
• [cs.RO]Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation
• [cs.SE]Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE
• [cs.SE]Towards Runtime Verification of Programmable Switches
• [cs.SI]Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
• [cs.SI]Team Performance Evaluation Model based on Network Feature Extraction
• [eess.AS]Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription
• [eess.AS]Unsupervised Speech Decomposition via Triple Information Bottleneck
• [eess.AS]Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit
• [eess.IV]A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification
• [eess.IV]An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans
• [eess.IV]Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
• [eess.IV]Automatic Polyp Segmentation Using Convolutional Neural Networks
• [eess.IV]COVID-19 Chest CT Image Segmentation — A Deep Convolutional Neural Network Solution
• [eess.IV]Deep Learning for Screening COVID-19 using Chest X-Ray Images
• [eess.IV]Edge Detection using Stationary Wavelet Transform, HMM, and EM algorithm
• [eess.IV]L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI
• [eess.IV]Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study
• [eess.IV]Microscopy Image Restoration using Deep Learning on W2S
• [eess.IV]Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation
• [eess.IV]Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms
• [eess.SP]Location-Based Optimum Cooperative Relay Selection in Spatial Wireless Networks
• [eess.SP]Performance Analysis of Uplink NOMA-Relevant Strategy Under Statistical Delay QoS Constraints
• [eess.SP]Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
• [eess.SY]Constrained Neural Ordinary Differential Equations with Stability Guarantees
• [eess.SY]Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Linear Systems
• [math.NA]The TVBG-SEIR spline model for analysis of COVID-19 spread, and a Tool for prediction scenarios
• [math.OC]Memory and forecasting capacities of nonlinear recurrent networks
• [math.ST]Asymptotic Confidence Regions for Density Ridges
• [math.ST]Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models
• [math.ST]On a phase transition in general order spline regression
• [physics.comp-ph]A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K
• [physics.optics]Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients
• [q-bio.QM]OUTBREAK: A user-friendly georeferencing online tool for disease surveillance
• [q-fin.RM]A multivariate micro-level insurance counts model with a Cox process approach
• [quant-ph]Combining hard and soft decoders for hypergraph product codes
• [quant-ph]Fast Quantum Algorithm for Learning with Optimized Random Features
• [stat.AP]Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update
• [stat.AP]Excess registered deaths in England and Wales during the COVID-19 pandemic, March 2020 and April 2020
• [stat.AP]Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest
• [stat.AP]Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing
• [stat.ME]Inference for travel time on transportation networks
• [stat.ME]Marshall-Olkin exponential shock model covering all range of dependence
• [stat.ME]Permutation inference in factorial survival designs with the CASANOVA
• [stat.ME]Poisson-Tweedie mixed-effects model: a flexible approach for the analysis of longitudinal RNA-seq data
• [stat.ME]Power Calculations for Replication Studies
• [stat.ML]A Kernel Two-sample Test for Dynamical Systems
• [stat.ML]Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
• [stat.ML]Alternating Minimization Converges Super-Linearly for Mixed Linear Regression
• [stat.ML]Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
• [stat.ML]Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
• [stat.ML]Multi-Objective Counterfactual Explanations
• [stat.ML]Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
• [stat.ML]Variance reduction for distributed stochastic gradient MCMC
·····································
• [cs.AI]Cooperative Perception with Deep Reinforcement Learning for Connected Vehicles
Shunsuke Aoki, Takamasa Higuchi, Onur Altintas
http://arxiv.org/abs/2004.10927v1
• [cs.AI]Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin Feigelis, Daniel Yamins
http://arxiv.org/abs/2004.10876v1
• [cs.AI]Human-Machine Collaboration for Democratizing Data Science
Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
http://arxiv.org/abs/2004.11113v1
• [cs.AI]Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility
Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
http://arxiv.org/abs/2004.11302v1
• [cs.AI]Tension Space Analysis for Emergent Narrative
Ben Kybartas, Clark Verbrugge, Jonathan Lessard
http://arxiv.org/abs/2004.10808v1
• [cs.CE]From Physics-based models to Predictive Digital Twins via Interpretable Machine Learning
MIchael G. Kapteyn, Karen E. Willcox
http://arxiv.org/abs/2004.11356v1
• [cs.CG]The Weighted Euler Curve Transform for Shape and Image Analysis
Qitong Jiang, Sebastian Kurtek, Tom Needham
http://arxiv.org/abs/2004.11128v1
• [cs.CL]Adaptive Forgetting Curves for Spaced Repetition Language Learning
Ahmed Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice
http://arxiv.org/abs/2004.11327v1
• [cs.CL]Correct Me If You Can: Learning from Error Corrections and Markings
Julia Kreutzer, Nathaniel Berger, Stefan Riezler
http://arxiv.org/abs/2004.11222v1
• [cs.CL]Coupled intrinsic and extrinsic human language resource-based query expansion
Bhawani Selvaretnam, Mohammed Belkhatir
http://arxiv.org/abs/2004.11083v1
• [cs.CL]Coupling semantic and statistical techniques for dynamically enriching web ontologies
Mohammed Maree, Mohammed Belkhatir
http://arxiv.org/abs/2004.11081v1
• [cs.CL]Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
http://arxiv.org/abs/2004.10964v1
• [cs.CL]DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models
Hongxuan Tang, Jing Liu, Hongyu Li, Yu Hong, Hua Wu, Haifeng Wang
http://arxiv.org/abs/2004.11142v1
• [cs.CL]Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu
http://arxiv.org/abs/2004.11019v1
• [cs.CL]Learning Dialog Policies from Weak Demonstrations
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
http://arxiv.org/abs/2004.11054v1
• [cs.CL]Learning to Classify Intents and Slot Labels Given a Handful of Examples
Jason Krone, Yi Zhang, Mona Diab
http://arxiv.org/abs/2004.10793v1
• [cs.CL]On Adversarial Examples for Biomedical NLP Tasks
Vladimir Araujo, Andres Carvallo, Carlos Aspillaga, Denis Parra
http://arxiv.org/abs/2004.11157v1
• [cs.CL]ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts
Majid Asgari-Bidhendi, Farzane Fakhrian, Behrouz Minaei-Bidgoli
http://arxiv.org/abs/2004.10816v1
• [cs.CL]Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova
http://arxiv.org/abs/2004.10809v1
• [cs.CL]Preserving the Hypernym Tree of WordNet in Dense Embeddings
Canlin Zhang, Xiuwen Liu
http://arxiv.org/abs/2004.10863v1
• [cs.CL]QURIOUS: Question Generation Pretraining for Text Generation
Shashi Narayan, Gonçalo Simoes, Ji Ma, Hannah Craighead, Ryan Mcdonald
http://arxiv.org/abs/2004.11026v1
• [cs.CL]Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin
http://arxiv.org/abs/2004.11339v1
• [cs.CL]Revisiting the Context Window for Cross-lingual Word Embeddings
Ryokan Ri, Yoshimasa Tsuruoka
http://arxiv.org/abs/2004.10813v1
• [cs.CL]Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model
Stefan Ollinger, Lorik Dumani, Premtim Sahitaj, Ralph Bergmann, Ralf Schenkel
http://arxiv.org/abs/2004.11163v1
• [cs.CL]Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
Yaru Hao, Li Dong, Furu Wei, Ke Xu
http://arxiv.org/abs/2004.11207v1
• [cs.CL]Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
Jiaao Chen, Yuwei Wu, Diyi Yang
http://arxiv.org/abs/2004.10972v1
• [cs.CL]Syntactic Structure from Deep Learning
Tal Linzen, Marco Baroni
http://arxiv.org/abs/2004.10827v1
• [cs.CL]Visual Question Answering Using Semantic Information from Image Descriptions
Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
http://arxiv.org/abs/2004.10966v1
• [cs.CL]What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
Irene Li, Yixin Li, Tianxiao Li, Sergio Alvarez-Napagao, Dario Garcia
http://arxiv.org/abs/2004.10899v1
• [cs.CR]Encoding Power Traces as Images for Efficient Side-Channel Analysis
Benjamin Hettwer, Tobias Horn, Stefan Gehrer, Tim Güneysu
http://arxiv.org/abs/2004.11015v1
• [cs.CR]Performance Evaluation of Secure Multi-party Computation on Heterogeneous Nodes
Zhou Ni, Rujia Wang
http://arxiv.org/abs/2004.10926v1
• [cs.CV]Action recognition in real-world videos
Waqas Sultani, Qazi Ammar Arshad, Chen Chen
http://arxiv.org/abs/2004.10774v1
• [cs.CV]BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
Riku Murai, Sajad Saeedi, Paul H. J. Kelly
http://arxiv.org/abs/2004.11186v1
• [cs.CV]Cloud-Based Face and Speech Recognition for Access Control Applications
Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez
http://arxiv.org/abs/2004.11168v1
• [cs.CV]Continual Learning of Object Instances
Kishan Parshotam, Mert Kilickaya
http://arxiv.org/abs/2004.10862v1
• [cs.CV]Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Ajian Liu, Xuan Li, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li
http://arxiv.org/abs/2004.10998v1
• [cs.CV]DAN: A Deformation-Aware Network for Consecutive Biomedical Image Interpolation
Zejin Wang, Guoqing Li, Xi Chen, Hua Han
http://arxiv.org/abs/2004.11076v1
• [cs.CV]Depth-Wise Neural Architecture Search
Artur Jordao, Fernando Akio, Maiko Lie, William Robson Schwartz
http://arxiv.org/abs/2004.11178v1
• [cs.CV]Detection and Classification of Industrial Signal Lights for Factory Floors
Felix Nilsson, Jens Jakobsen, Fernando Alonso-Fernandez
http://arxiv.org/abs/2004.11187v1
• [cs.CV]Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
http://arxiv.org/abs/2004.10780v1
• [cs.CV]Distilling Knowledge from Refinement in Multiple Instance Detection Networks
Luis Felipe Zeni, Claudio Jung
http://arxiv.org/abs/2004.10943v1
• [cs.CV]Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
Jianhe Yuan, Zhihai He
http://arxiv.org/abs/2004.11273v1
• [cs.CV]Fast Convex Relaxations using Graph Discretizations
Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller
http://arxiv.org/abs/2004.11075v1
• [cs.CV]Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
http://arxiv.org/abs/2004.10956v1
• [cs.CV]Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner, Andreas Bär, Tim Fingscheidt
http://arxiv.org/abs/2004.11072v1
• [cs.CV]Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen
http://arxiv.org/abs/2004.10955v1
• [cs.CV]Location-Aware Feature Selection for Scene Text Detection
Zengyuan Guo, Zilin Wang, Zhihui Wang, Wanli Ouyang, Haojie Li, Wen Gao
http://arxiv.org/abs/2004.10999v1
• [cs.CV]PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan
http://arxiv.org/abs/2004.10936v1
• [cs.CV]PolyLaneNet: Lane Estimation via Deep Polynomial Regression
Lucas Tabelini, Rodrigo Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos
http://arxiv.org/abs/2004.10924v1
• [cs.CV]Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020
Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve
http://arxiv.org/abs/2004.11051v1
• [cs.CV]Self-supervised Learning for Astronomical Image Classification
Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata
http://arxiv.org/abs/2004.11336v1
• [cs.CV]SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, Iyad Rahwan
http://arxiv.org/abs/2004.11246v1
• [cs.CV]Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Raphael Memmesheimer, Nick Theisen, Dietrich Paulus
http://arxiv.org/abs/2004.11085v1
• [cs.CV]SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
Namhyuk Ahn, Jaejun Yoo, Kyung-Ah Sohn
http://arxiv.org/abs/2004.11020v1
• [cs.CV]Single-View View Synthesis with Multiplane Images
Richard Tucker, Noah Snavely
http://arxiv.org/abs/2004.11364v1
• [cs.CV]The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
http://arxiv.org/abs/2004.11138v1
• [cs.CV]Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker
http://arxiv.org/abs/2004.10904v1
• [cs.CV]Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
http://arxiv.org/abs/2004.10796v1
• [cs.CV]Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
Edson Bollis, Helio Pedrini, Sandra Avila
http://arxiv.org/abs/2004.11252v1
• [cs.CV]YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
http://arxiv.org/abs/2004.10934v1
• [cs.CY]Impact of Bias on School Admissions and Targeted Interventions
Yuri Faenza, Swati Gupta, Xuan Zhang
http://arxiv.org/abs/2004.10846v1
• [cs.DB]Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya
http://arxiv.org/abs/2004.10898v1
• [cs.DC]Accurate runtime selection of optimal MPI collective algorithms using analytical performance modelling
Emin Nuriyev, Alexey Lastovetsky
http://arxiv.org/abs/2004.11062v1
• [cs.DC]Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack
Dionysios Diamantopoulos, Burkhard Ringlein, Mitra Purandare, Gagandeep Singh, Christoph Hagleitner
http://arxiv.org/abs/2004.10854v1
• [cs.DC]Cpp-Taskflow: 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/2004.10908v1
• [cs.DC]Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite
Marius Meyer, Tobias Kenter, Christian Plessl
http://arxiv.org/abs/2004.11059v1
• [cs.DC]Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
Tyler Crain
http://arxiv.org/abs/2004.09547v2
• [cs.DC]OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints
Qing Han, Shusen Yang, Xuebin Ren, Cong Zhao, Jingqi Zhang, Xinyu Yang
http://arxiv.org/abs/2004.10387v2
• [cs.DL]Visible Insights of the Invisible Pandemic: A Scientometric, Altmetric and Topic Trend Analysis
Sujit Bhattacharya, Shubham Singh
http://arxiv.org/abs/2004.10878v1
• [cs.DS]Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
Antonio Blanca, Zongchen Chen, Daniel Štefankovič, Eric Vigoda
http://arxiv.org/abs/2004.10805v1
• [cs.DS]Non-Adaptive Adaptive Sampling on Turnstile Streams
Sepideh Mahabadi, Ilya Razenshteyn, David P. Woodruff, Samson Zhou
http://arxiv.org/abs/2004.10969v1
• [cs.DS]Scheduling Precedence-Constrained Jobs on Related Machines with Communication Delay
Biswaroop Maiti, Rajmohan Rajaraman, David Stalfa, Zoya Svitkina, Aravindan Vijayaraghavan
http://arxiv.org/abs/2004.10776v1
• [cs.IR]Distilling Knowledge for Fast Retrieval-based Chat-bots
Amir Vakili Tahami, Kamyar Ghajar, Azadeh Shakery
http://arxiv.org/abs/2004.11045v1
• [cs.IR]Natural language technology and query expansion: issues, state-of-the-art and perspectives
Bhawani Selvaretnam, Mohammed Belkhatir
http://arxiv.org/abs/2004.11093v1
• [cs.IR]Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
Mukund Srinath, Shomir Wilson, C. Lee Giles
http://arxiv.org/abs/2004.11131v1
• [cs.IT]Age-of-Information with Information Source Diversity in an Energy Harvesting System
Elvina Gindullina, Leonardo Badia, Deniz Gündüz
http://arxiv.org/abs/2004.11135v1
• [cs.IT]Developing Concurrent Coding: An unconventional encoding scheme applied to visible light communications
David M Benton
http://arxiv.org/abs/2004.11322v1
• [cs.IT]Measuring Information Leakage in Non-stochastic Brute-Force Guessing
Farhad Farokhi, Ni Ding
http://arxiv.org/abs/2004.10911v1
• [cs.IT]On Relations Between the Relative entropy and $χ^2$—Divergence, Generalizations and Applications
Tomohiro Nishiyama, Igal Sason
http://arxiv.org/abs/2004.11197v1
• [cs.IT]Outage Analysis of Cognitive Electric Vehicular Networks over Mixed RF/VLC Channels
Galymzhan Nauryzbayev, Mohamed Abdallah, Naofal Al-Dhahir
http://arxiv.org/abs/2004.11143v1
• [cs.IT]Sum Rate Maximization for IRS-assisted Uplink NOMA
M. Zeng, X. Li, G. Li, W. Hao, O. A. Dobre
http://arxiv.org/abs/2004.10791v1
• [cs.IT]UAV-Enabled Data Collection for Wireless Sensor Networks with Distributed Beamforming
Tianxin Feng, Lifeng Xie, Jianping Yao, Jie Xu
http://arxiv.org/abs/2004.11332v1
• [cs.LG]A Complete Characterization of Projectivity for Statistical Relational Models
Manfred Jaeger, Oliver Schulte
http://arxiv.org/abs/2004.10984v1
• [cs.LG]A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu
http://arxiv.org/abs/2004.10397v2
• [cs.LG]A Neural Scaling Law from the Dimension of the Data Manifold
Utkarsh Sharma, Jared Kaplan
http://arxiv.org/abs/2004.10802v1
• [cs.LG]Adversarial examples and where to find them
Niklas Risse, Christina Göpfert, Jan Philip Göpfert
http://arxiv.org/abs/2004.10882v1
• [cs.LG]Applications of shapelet transform to time series classification of earthquake, wind and wave data
Monica Arul, Ahsan Kareem
http://arxiv.org/abs/2004.11243v1
• [cs.LG]ArchNet: Data Hiding Model in Distributed Machine Learning System
Kaiyan Chang, Wei Jiang, Zicheng Gong, Xiangyu Wen, Zhiyuan He, Weijia Pan
http://arxiv.org/abs/2004.10968v1
• [cs.LG]Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations
Dan Valle, Tiago Pimentel, Adriano Veloso
http://arxiv.org/abs/2004.10824v1
• [cs.LG]AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Keting Lu, Shiqi Zhang, Xiaoping Chen
http://arxiv.org/abs/2004.10698v2
• [cs.LG]Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking
Bahman Moraffah, Antonia Papndreou-Suppopola
http://arxiv.org/abs/2004.10798v1
• [cs.LG]Classification using Hyperdimensional Computing: A Review
Lulu Ge, Keshab K. Parhi
http://arxiv.org/abs/2004.11204v1
• [cs.LG]Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
http://arxiv.org/abs/2004.10958v1
• [cs.LG]Deep Learning Classification With Noisy Labels
Guillaume Sanchez, Vincente Guis, Ricard Marxer, Frédéric Bouchara
http://arxiv.org/abs/2004.11116v1
• [cs.LG]Deep Learning of Chaos Classification
Woo Seok Lee, Sergej Flach
http://arxiv.org/abs/2004.10980v1
• [cs.LG]Doubly-stochastic mining for heterogeneous retrieval
Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix Yu, Sashank J. Reddi, Sanjiv Kumar
http://arxiv.org/abs/2004.10915v1
• [cs.LG]Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding
Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam Thomas, Francisco Pereira
http://arxiv.org/abs/2004.11114v1
• [cs.LG]Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices
Wu Yawen, Wang Zhepeng, Jia Zhenge, Shi Yiyu, Hu Jingtong
http://arxiv.org/abs/2004.11293v1
• [cs.LG]Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. Rene Geist, Sebastian Trimpe
http://arxiv.org/abs/2004.11238v1
• [cs.LG]Learning a Formula of Interpretability to Learn Interpretable Formulas
Marco Virgolin, Andrea De Lorenzo, Eric Medvet, Francesca Randone
http://arxiv.org/abs/2004.11170v1
• [cs.LG]Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung
http://arxiv.org/abs/2004.11022v1
• [cs.LG]Metric-Learning-Assisted Domain Adaptation
Yueming Yin, Zhen Yang, Haifeng Hu, Xiaofu Wu
http://arxiv.org/abs/2004.10963v1
• [cs.LG]On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints
Alma Rahat, Michael Wood
http://arxiv.org/abs/2004.11055v1
• [cs.LG]Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning
Shangtong Zhang, Bo Liu, Shimon Whiteson
http://arxiv.org/abs/2004.10888v1
• [cs.LG]Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos
http://arxiv.org/abs/2004.11349v1
• [cs.LG]Private Query Release Assisted by Public Data
Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan Ullman, Zhiwei Steven Wu
http://arxiv.org/abs/2004.10941v1
• [cs.LG]QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks
Priyadarshini Panda
http://arxiv.org/abs/2004.11233v1
• [cs.LG]Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base
Barbara Barabasz
http://arxiv.org/abs/2004.11077v1
• [cs.LG]SIGN: Scalable Inception Graph Neural Networks
Emanuele Rossi, Fabrizio Frasca, Ben Chamberlain, Davide Eynard, Michael Bronstein, Federico Monti
http://arxiv.org/abs/2004.11198v1
• [cs.LG]Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach
Jia Cai, Kexin Lv, Junyi Huo, Xiaolin Huang, Jie Yang
http://arxiv.org/abs/2004.10981v1
• [cs.LG]Supervised Contrastive Learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
http://arxiv.org/abs/2004.11362v1
• [cs.LG]Supervised Domain Adaptation: Were we doing Graph Embedding all along?
Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
http://arxiv.org/abs/2004.11262v1
• [cs.LG]TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce
Shuangyong Song, Chao Wang
http://arxiv.org/abs/2004.10919v1
• [cs.LG]Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
http://arxiv.org/abs/2004.11250v1
• [cs.NE]Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D
Lei Sun, Ke Li
http://arxiv.org/abs/2004.10874v1
• [cs.NE]CoInGP: Convolutional Inpainting with Genetic Programming
Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek
http://arxiv.org/abs/2004.11300v1
• [cs.NE]Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
http://arxiv.org/abs/2004.10978v1
• [cs.NE]Semantically-Oriented Mutation Operator in Cartesian Genetic Programming for Evolutionary Circuit Design
David Hodan, Vojtech Mrazek, Zdenek Vasicek
http://arxiv.org/abs/2004.11018v1
• [cs.NE]Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
Luca Manzoni, Luca Mariot, Eva Tuba
http://arxiv.org/abs/2004.11331v1
• [cs.NE]gBeam-ACO: a greedy and faster variant of Beam-ACO
Jeff Hajewski, Suely Oliveira, David E. Stewart, Laura Weiler
http://arxiv.org/abs/2004.11137v1
• [cs.RO]Enabling Human-Robot Collaboration via Holistic Human Perception and Partner-Aware Control
Yeshasvi Tirupachuri
http://arxiv.org/abs/2004.10847v1
• [cs.RO]Hierarchical Needs Based Self-Adaptive Framework For Cooperative Multi-Robot System
Qin Yang, Ramviyas Parasuraman
http://arxiv.org/abs/2004.10920v1
• [cs.RO]Hybrid Control from Scratch: A Design Methodology for Assured Robotic Missions
Tomás Liendro, Sebastián Zudaire
http://arxiv.org/abs/2004.11258v1
• [cs.RO]Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine
http://arxiv.org/abs/2004.11345v1
• [cs.RO]Multi-task closed-loop inverse kinematics stability through semidefinite programming
Josep Marti-Saumell, Angel Santamaria-Navarro, Carlos Ocampo-Martinez, Juan Andrade-Cetto
http://arxiv.org/abs/2004.11171v1
• [cs.RO]OF-VO: Reliable Navigation among Pedestrians Using Commodity Sensors
Jing Liang, Yi-Ling Qiao, Dinesh Manocha
http://arxiv.org/abs/2004.10976v1
• [cs.RO]Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation
Shahbaz A. Khader, Hang Yin, Pietro Falco, Danica Kragic
http://arxiv.org/abs/2004.10886v1
• [cs.SE]Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE
Nicole Novielli, Fabio Calefato, Filippo Lanubile
http://arxiv.org/abs/2004.11005v1
• [cs.SE]Towards Runtime Verification of Programmable Switches
Apoorv Shukla, Kevin Hudemann, Zsolt Vági, Lily Hügerich, Georgios Smaragdakis, Stefan Schmid, Artur Hecker, Anja Feldmann
http://arxiv.org/abs/2004.10887v1
• [cs.SI]Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
Pietro Bonato, Paolo Cintia, Francesco Fabbri, Daniele Fadda, Fosca Giannotti, Pier Luigi Lopalco, Sara Mazzilli, Mirco Nanni, Luca Pappalardo, Dino Pedreschi, Francesco Penone, Salvatore Rinzivillo, Giulio Rossetti, Marcello Savarese, Lara Tavoschi
http://arxiv.org/abs/2004.11278v1
• [cs.SI]Team Performance Evaluation Model based on Network Feature Extraction
Ruilin Chen, Kaiyan Chang, Kaiyuan Tian
http://arxiv.org/abs/2004.11039v1
• [eess.AS]Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription
Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov
http://arxiv.org/abs/2004.10799v1
• [eess.AS]Unsupervised Speech Decomposition via Triple Information Bottleneck
Kaizhi Qian, Yang Zhang, Shiyu Chang, David Cox, Mark Hasegawa-Johnson
http://arxiv.org/abs/2004.11284v1
• [eess.AS]Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit
Tomoki Koriyama, Hiroshi Saruwatari
http://arxiv.org/abs/2004.10823v1
• [eess.IV]A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification
Claire Voreiter, Jean-Christophe Burnel, Pierre Lassalle, Marc Spigai, Romain Hugues, Nicolas Courty
http://arxiv.org/abs/2004.11245v1
• [eess.IV]An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans
Michael Gadermayr, Maximilian Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess
http://arxiv.org/abs/2004.11001v1
• [eess.IV]Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
Maria Santamaria, Saverio Blasi, Ebroul Izquierdo, Marta Mrak
http://arxiv.org/abs/2004.11056v1
• [eess.IV]Automatic Polyp Segmentation Using Convolutional Neural Networks
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters
http://arxiv.org/abs/2004.10792v1
• [eess.IV]COVID-19 Chest CT Image Segmentation — A Deep Convolutional Neural Network Solution
Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You
http://arxiv.org/abs/2004.10987v1
• [eess.IV]Deep Learning for Screening COVID-19 using Chest X-Ray Images
Sanhita Basu, Sushmita Mitra
http://arxiv.org/abs/2004.10507v2
• [eess.IV]Edge Detection using Stationary Wavelet Transform, HMM, and EM algorithm
S. Anand, K. Nagajothi, K. Nithya
http://arxiv.org/abs/2004.11296v1
• [eess.IV]L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI
S. M. Kamrul Hasan, Cristian A. Linte
http://arxiv.org/abs/2004.11253v1
• [eess.IV]Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study
Isarun Chamveha, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon
http://arxiv.org/abs/2004.10975v1
• [eess.IV]Microscopy Image Restoration using Deep Learning on W2S
Martin Chatton
http://arxiv.org/abs/2004.10884v1
• [eess.IV]Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation
Shaobo Xia, Jingwei Song, Dong Chen, Jun Wang
http://arxiv.org/abs/2004.10959v1
• [eess.IV]Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms
Shrey Dabhi, Kartavya Soni, Utkarsh Patel, Priyanka Sharma, Manojkumar Parmar
http://arxiv.org/abs/2004.11021v1
• [eess.SP]Location-Based Optimum Cooperative Relay Selection in Spatial Wireless Networks
Saman Atapattu, Hazer Inaltekin, Jamie Evans
http://arxiv.org/abs/2004.10946v1
• [eess.SP]Performance Analysis of Uplink NOMA-Relevant Strategy Under Statistical Delay QoS Constraints
Mylene Pischella, Arsenia Chorti, Inbar Fijalkow
http://arxiv.org/abs/2004.11226v1
• [eess.SP]Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge
http://arxiv.org/abs/2004.11228v1
• [eess.SY]Constrained Neural Ordinary Differential Equations with Stability Guarantees
Aaron Tuor, Jan Drgona, Draguna Vrabie
http://arxiv.org/abs/2004.10883v1
• [eess.SY]Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Linear Systems
Jan Drgona, Aaron Tuor, Draguna Vrabie
http://arxiv.org/abs/2004.11184v1
• [math.NA]The TVBG-SEIR spline model for analysis of COVID-19 spread, and a Tool for prediction scenarios
Ognyan Kounchev, Georgi Simeonov, Zhana Kuncheva
http://arxiv.org/abs/2004.11338v1
• [math.OC]Memory and forecasting capacities of nonlinear recurrent networks
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
http://arxiv.org/abs/2004.11234v1
• [math.ST]Asymptotic Confidence Regions for Density Ridges
Wanli Qiao
http://arxiv.org/abs/2004.11354v1
• [math.ST]Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models
Mariana C. Araújo, Audrey H. M. A. Cysneiros, Lourdes C. Montenegro
http://arxiv.org/abs/2004.10910v1
• [math.ST]On a phase transition in general order spline regression
Yandi Shen, Qiyang Han, Fang Han
http://arxiv.org/abs/2004.10922v1
• [physics.comp-ph]A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K
Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl
http://arxiv.org/abs/2004.10811v1
• [physics.optics]Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients
Nicholas Chimitt, Stanley H. Chan
http://arxiv.org/abs/2004.11210v1
• [q-bio.QM]OUTBREAK: A user-friendly georeferencing online tool for disease surveillance
Raúl Arias-Carrasco, Jeevan Giddaluru, Lucas E. Cardozo, Felipe Martins, Vinicius Maracaja-Coutinho, Helder I. Nakaya
http://arxiv.org/abs/2004.10490v1
• [q-fin.RM]A multivariate micro-level insurance counts model with a Cox process approach
Benjamin Avanzi, Gregory Clive Taylor, Bernard Wong, Xinda Yang
http://arxiv.org/abs/2004.11169v1
• [quant-ph]Combining hard and soft decoders for hypergraph product codes
Antoine Grospellier, Lucien Grouès, Anirudh Krishna, Anthony Leverrier
http://arxiv.org/abs/2004.11199v1
• [quant-ph]Fast Quantum Algorithm for Learning with Optimized Random Features
Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi
http://arxiv.org/abs/2004.10756v1
• [stat.AP]Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update
Seth Flaxman, Swapnil Mishra, Axel Gandy, H Juliette T Unwin, Helen Coupland, Thomas A Mellan, Harrison Zhu, Tresnia Berah, Jeffrey W Eaton, Pablo N P Guzman, Nora Schmit, Lucia Callizo, Imperial College COVID-19 Response Team, Charles Whittaker, Peter Winskill, Xiaoyue Xi, Azra Ghani, Christl A. Donnelly, Steven Riley, Lucy C Okell, Michaela A C Vollmer, Neil M. Ferguson, Samir Bhatt
http://arxiv.org/abs/2004.11342v1
• [stat.AP]Excess registered deaths in England and Wales during the COVID-19 pandemic, March 2020 and April 2020
Drew M Thomas
http://arxiv.org/abs/2004.11355v1
• [stat.AP]Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest
Shangzhi Hong, Yuqi Sun, Hanying Li, Henry S. Lynn
http://arxiv.org/abs/2004.11195v1
• [stat.AP]Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing
Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo
http://arxiv.org/abs/2004.10977v1
• [stat.ME]Inference for travel time on transportation networks
Mohamad Elmasri, Aurelie Labbe, Denis Larocque, Laurent Charlin
http://arxiv.org/abs/2004.11292v1
• [stat.ME]Marshall-Olkin exponential shock model covering all range of dependence
H. A. Mohtashami-Borzadaran, M. Amini, H. Jabbari, A. Dolati
http://arxiv.org/abs/2004.11241v1
• [stat.ME]Permutation inference in factorial survival designs with the CASANOVA
Marc Ditzhaus, Arnold Janssen, Markus Pauly
http://arxiv.org/abs/2004.10818v1
• [stat.ME]Poisson-Tweedie mixed-effects model: a flexible approach for the analysis of longitudinal RNA-seq data
Mirko Signorelli, Pietro Spitali, Roula Tsonaka
http://arxiv.org/abs/2004.11193v1
• [stat.ME]Power Calculations for Replication Studies
Charlotte Micheloud, Leonhard Held
http://arxiv.org/abs/2004.10814v1
• [stat.ML]A Kernel Two-sample Test for Dynamical Systems
Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe
http://arxiv.org/abs/2004.11098v1
• [stat.ML]Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi
http://arxiv.org/abs/2004.10931v1
• [stat.ML]Alternating Minimization Converges Super-Linearly for Mixed Linear Regression
Avishek Ghosh, Kannan Ramchandran
http://arxiv.org/abs/2004.10914v1
• [stat.ML]Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat
http://arxiv.org/abs/2004.11094v1
• [stat.ML]Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Sam Coveney, Cesare Corrado, Caroline H Roney, Daniel O’Hare, Steven E Williams, Mark D O’Neill, Steven A Niederer, Richard H Clayton, Jeremy E Oakley, Richard D Wilkinson
http://arxiv.org/abs/2004.10586v2
• [stat.ML]Multi-Objective Counterfactual Explanations
Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl
http://arxiv.org/abs/2004.11165v1
• [stat.ML]Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
http://arxiv.org/abs/2004.11154v1
• [stat.ML]Variance reduction for distributed stochastic gradient MCMC
Khaoula El Mekkaoui, Diego Mesquita, Paul Blomstedt, Samuel Kaski
http://arxiv.org/abs/2004.11231v1
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