astro-ph.IM - 仪器仪表和天体物理学方法
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.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 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 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.med-ph - 医学物理学 q-fin.ST - 统计金融学 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
• [astro-ph.IM]Pulsars Detection by Machine Learning with Very Few Features
• [cs.AI]A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
• [cs.AI]Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
• [cs.AI]Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations
• [cs.AR]SpArch: Efficient Architecture for Sparse Matrix Multiplication
• [cs.CL]Balancing Cost and Benefit with Tied-Multi Transformers
• [cs.CL]Contextual Lensing of Universal Sentence Representations
• [cs.CL]Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
• [cs.CL]FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding
• [cs.CL]Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
• [cs.CL]Measuring Social Biases in Grounded Vision and Language Embeddings
• [cs.CL]The Fluidity of Concept Representations in Human Brain Signals
• [cs.CR]MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
• [cs.CV]A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC
• [cs.CV]A survey on Semi-, Self- and Unsupervised Techniques in Image Classification
• [cs.CV]Automatic Shortcut Removal for Self-Supervised Representation Learning
• [cs.CV]Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
• [cs.CV]Captioning Images Taken by People Who Are Blind
• [cs.CV]Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
• [cs.CV]Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
• [cs.CV]Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
• [cs.CV]Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching
• [cs.CV]Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming
• [cs.CV]Focus on Semantic Consistency for Cross-domain Crowd Understanding
• [cs.CV]JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
• [cs.CV]KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
• [cs.CV]Learning Object Scale With Click Supervision for Object Detection
• [cs.CV]Modelling response to trypophobia trigger using intermediate layers of ImageNet networks
• [cs.CV]MonoLayout: Amodal scene layout from a single image
• [cs.CV]Neural Network Compression Framework for fast model inference
• [cs.CV]Object 6D Pose Estimation with Non-local Attention
• [cs.CV]Photorealistic Lip Sync with Adversarial Temporal Convolutional Networks
• [cs.CV]Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
• [cs.CV]Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
• [cs.CV]SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion
• [cs.CV]Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
• [cs.CV]Strategy to Increase the Safety of a DNN-based Perception for HAD Systems
• [cs.CV]Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition
• [cs.CV]Table-Top Scene Analysis Using Knowledge-Supervised MCMC
• [cs.CY]A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
• [cs.CY]Do you comply with AI? — Personalized explanations of learning algorithms and their impact on employees’ compliance behavior
• [cs.CY]The Problem with Metrics is a Fundamental Problem for AI
• [cs.DC]Knowledge and simplicial complexes
• [cs.DC]Reliable Distributed Clustering with Redundant Data Assignment
• [cs.DC]Two More Algorithms for Randomized Signature-Free Asynchronous Binary Byzantine Consensus with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
• [cs.GR]Computational Design with Crowds
• [cs.GT]From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
• [cs.GT]Stochastic Regret Minimization in Extensive-Form Games
• [cs.IR]Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
• [cs.IR]Processing topical queries on images of historical newspaper pages
• [cs.IR]Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
• [cs.IR]Towards a Soft Faceted Browsing Scheme for Information Access
• [cs.IT]Convolutional Approximate Message-Passing
• [cs.IT]Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
• [cs.IT]Greedy weights for matroids
• [cs.IT]Linear-time Erasure List-decoding of Expander Codes
• [cs.IT]Massive MIMO with Multi-Antenna Users under Jointly Correlated Ricean Fading
• [cs.IT]Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach
• [cs.IT]Programmable Metasurface Based Multicast Systems: Design and Analysis
• [cs.IT]Storage Space Allocation Strategy for Digital Data with Message Importance
• [cs.LG]A Bayes-Optimal View on Adversarial Examples
• [cs.LG]A Novel Framework for Selection of GANs for an Application
• [cs.LG]A Structured Prediction Approach for Conditional Meta-Learning
• [cs.LG]Adaptive Graph Auto-Encoder for General Data Clustering
• [cs.LG]Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
• [cs.LG]AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks
• [cs.LG]Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
• [cs.LG]Bayesian Deep Learning and a Probabilistic Perspective of Generalization
• [cs.LG]Bimodal Distribution Removal and Genetic Algorithm in Neural Network for Breast Cancer Diagnosis
• [cs.LG]Boosting Adversarial Training with Hypersphere Embedding
• [cs.LG]Computationally Tractable Riemannian Manifolds for Graph Embeddings
• [cs.LG]Differential Dynamic Programming Neural Optimizer
• [cs.LG]Differentially Private ERM Based on Data Perturbation
• [cs.LG]Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning
• [cs.LG]Diversity sampling is an implicit regularization for kernel methods
• [cs.LG]Do We Need Zero Training Loss After Achieving Zero Training Error?
• [cs.LG]Dynamic Federated Learning
• [cs.LG]Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
• [cs.LG]Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?
• [cs.LG]Estimating Training Data Influence by Tracking Gradient Descent
• [cs.LG]How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
• [cs.LG]Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
• [cs.LG]Information Condensing Active Learning
• [cs.LG]Input Perturbation: A New Paradigm between Central and Local Differential Privacy
• [cs.LG]Interpretability of machine learning based prediction models in healthcare
• [cs.LG]Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
• [cs.LG]Learning with Differentiable Perturbed Optimizers
• [cs.LG]Meta-learning for mixed linear regression
• [cs.LG]Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
• [cs.LG]Multi-step Online Unsupervised Domain Adaptation
• [cs.LG]NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion
• [cs.LG]No-Regret and Incentive-Compatible Online Learning
• [cs.LG]Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
• [cs.LG]Nyström Subspace Learning for Large-scale SVMs
• [cs.LG]On Learning Sets of Symmetric Elements
• [cs.LG]On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective
• [cs.LG]Online high rank matrix completion
• [cs.LG]Optimizing Black-box Metrics with Adaptive Surrogates
• [cs.LG]Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
• [cs.LG]PrivacyFL: A simulator for privacy-preserving and secure federated learning
• [cs.LG]Regret Minimization in Stochastic Contextual Dueling Bandits
• [cs.LG]Regularized Autoencoders via Relaxed Injective Probability Flow
• [cs.LG]Safe Counterfactual Reinforcement Learning
• [cs.LG]Scalable Constrained Bayesian Optimization
• [cs.LG]Set2Graph: Learning Graphs From Sets
• [cs.LG]Stochastic Optimization for Regularized Wasserstein Estimators
• [cs.LG]Strength from Weakness: Fast Learning Using Weak Supervision
• [cs.LG]Support-weighted Adversarial Imitation Learning
• [cs.LG]The Benefits of Pairwise Discriminators for Adversarial Training
• [cs.LG]Towards Byzantine-resilient Learning in Decentralized Systems
• [cs.LG]Towards Certifiable Adversarial Sample Detection
• [cs.LG]Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
• [cs.LG]Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
• [cs.LG]Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
• [cs.LG]Warm Starting Bandits with Side Information from Confounded Data
• [cs.MA]Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
• [cs.NE]Learn to Design the Heuristics for Vehicle Routing Problem
• [cs.NE]sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems
• [cs.NI]Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
• [cs.NI]Non-linear Age of Information in a Discrete Time Queue: Stationary Distribution and Average Performance Analysis
• [cs.NI]PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks
• [cs.PF]Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers
• [cs.RO]A Hybrid Systems-based Hierarchical Control Architecture for Heterogeneous Field Robot Teams
• [cs.RO]Act, Perceive, and Plan in Belief Space for Robot Localization
• [cs.RO]An improved FastEuler-DLKF small-UAV AHRS algorithm
• [cs.RO]Dynamic SLAM: The Need For Speed
• [cs.RO]Interactive Natural Language-based Person Search
• [cs.RO]Learning to Walk in the Real World with Minimal Human Effort
• [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
• [cs.RO]Optimally Guarding Perimeters and Regions with Mobile Range Sensors
• [cs.RO]Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback
• [cs.SE]Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
• [cs.SI]Continuous Influence-based Community Partition for Social Networks
• [eess.AS]An empirical study of Conv-TasNet
• [eess.AS]Disentangled Speech Embeddings using Cross-modal Self-supervision
• [eess.AS]Imputer: Sequence Modelling via Imputation and Dynamic Programming
• [eess.AS]Wavesplit: End-to-End Speech Separation by Speaker Clustering
• [eess.IV]Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
• [eess.IV]Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition
• [eess.IV]Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
• [eess.IV]Fine tuning U-Net for ultrasound image segmentation: which layers?
• [eess.IV]T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis
• [eess.SP]A Testbed for Assessment of Fountain Codes for Wireless Channels
• [eess.SP]Kalman Filtering With Censored Measurements
• [math.NA]Entrywise convergence of iterative methods for eigenproblems
• [math.OC]Adaptive Temporal Difference Learning with Linear Function Approximation
• [math.OC]Bounding the expected run-time of nonconvex optimization with early stopping
• [math.OC]Contextual Reserve Price Optimization in Auctions
• [math.OC]Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities
• [math.OC]Second-order Conditional Gradients
• [math.OC]The Directional Optimal Transport
• [math.ST]Asymptotically Optimal Bias Reduction for Parametric Models
• [math.ST]Consistent model selection procedure for general integer-valued time series
• [math.ST]Derivation of the Exact Moments of the Distribution of Pearsons Correlation over Permutations of Data
• [math.ST]Generalized sampling with functional principal components for high-resolution random field estimation
• [math.ST]On conditional versus marginal bias in multi-armed bandits
• [math.ST]On the geometric properties of finite mixture models
• [physics.ao-ph]Towards Physically-consistent, Data-driven Models of Convection
• [physics.med-ph]Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
• [q-fin.ST]Forecasting Realized Volatility Matrix With Copula-Based Models
• [quant-ph]Predicting Many Properties of a Quantum System from Very Few Measurements
• [stat.AP]A Bayes Factor Approach with Informative Prior for Rare Genetic Variant Analysis from Next Generation Sequencing Data
• [stat.AP]A Bayesian Feature Allocation Model for Identification of Cell Subpopulations Using Cytometry Data
• [stat.AP]Queueing Subject To Action-Dependent Server Performance: Utilization Rate Reduction
• [stat.AP]ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
• [stat.ME]A non-inferiority test for R-squared with random regressors
• [stat.ME]APTER: Aggregated Prognosis Through Exponential Reweighting
• [stat.ME]Causal Inference under Networked Interference
• [stat.ME]False Discovery Rate Control via Data Splitting
• [stat.ME]Familywise Error Rate Control by Interactive Unmasking
• [stat.ME]Network Group Hawkes Process Model
• [stat.ME]Robust M-estimation for Partially Observed Functional Data
• [stat.ML]A General Pairwise Comparison Model for Extremely Sparse Networks
• [stat.ML]A Scalable Framework for Sparse Clustering Without Shrinkage
• [stat.ML]A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance
• [stat.ML]Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds
• [stat.ML]Fast Differentiable Sorting and Ranking
• [stat.ML]I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models
• [stat.ML]Implicit Regularization of Random Feature Models
• [stat.ML]Implicit differentiation of Lasso-type models for hyperparameter optimization
• [stat.ML]Learning Gaussian Graphical Models via Multiplicative Weights
• [stat.ML]Propose, Test, Release: Differentially private estimation with high probability
• [stat.ML]Pruning untrained neural networks: Principles and Analysis
• [stat.ML]Residual Bootstrap Exploration for Bandit Algorithms
• [stat.ML]Simultaneous Inference for Massive Data: Distributed Bootstrap
• [stat.ML]The continuous categorical: a novel simplex-valued exponential family
• [stat.ML]Weakly-supervised Multi-output Reg
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ression via Correlated Gaussian Processes
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• [astro-ph.IM]Pulsars Detection by Machine Learning with Very Few Features
Haitao Lin, Xiangru Li, Ziying Luo
http://arxiv.org/abs/2002.08519v1
• [cs.AI]A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman Fenton
http://arxiv.org/abs/2002.08627v1
• [cs.AI]Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/2002.08718v1
• [cs.AI]Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
http://arxiv.org/abs/2002.08136v2
• [cs.AR]SpArch: Efficient Architecture for Sparse Matrix Multiplication
Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally
http://arxiv.org/abs/2002.08947v1
• [cs.CL]Balancing Cost and Benefit with Tied-Multi Transformers
Raj Dabre, Raphael Rubino, Atsushi Fujita
http://arxiv.org/abs/2002.08614v1
• [cs.CL]Contextual Lensing of Universal Sentence Representations
Jamie Kiros
http://arxiv.org/abs/2002.08866v1
• [cs.CL]Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Dianbo Liu, Tim Miller
http://arxiv.org/abs/2002.08562v1
• [cs.CL]FrameAxis: Characterizing Framing Bias and Intensity with Word Embedding
Haewoon Kwak, Jisun An, Yong-Yeol Ahn
http://arxiv.org/abs/2002.08608v1
• [cs.CL]Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloe Clavel
http://arxiv.org/abs/2002.08801v1
• [cs.CL]Measuring Social Biases in Grounded Vision and Language Embeddings
Candace Ross, Boris Katz, Andrei Barbu
http://arxiv.org/abs/2002.08911v1
• [cs.CL]The Fluidity of Concept Representations in Human Brain Signals
Eva Hendrikx, Lisa Beinborn
http://arxiv.org/abs/2002.08880v1
• [cs.CR]MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing
Yaohui Chen, Mansour Ahmadi, Reza Mirzazade farkhani, Boyu Wang, Long Lu
http://arxiv.org/abs/2002.08568v1
• [cs.CV]A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC
Ziyuan Liu, Georg von Wichert
http://arxiv.org/abs/2002.08402v1
• [cs.CV]A survey on Semi-, Self- and Unsupervised Techniques in Image Classification
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch
http://arxiv.org/abs/2002.08721v1
• [cs.CV]Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen
http://arxiv.org/abs/2002.08822v1
• [cs.CV]Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu
http://arxiv.org/abs/2002.08694v1
• [cs.CV]Captioning Images Taken by People Who Are Blind
Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya
http://arxiv.org/abs/2002.08565v1
• [cs.CV]Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
Ehsan Emad Marvasti, Arash Raftari, Amir Emad Marvasti, Yaser P. Fallah, Rui Guo, HongSheng Lu
http://arxiv.org/abs/2002.08440v1
• [cs.CV]Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
Aidan Boyd, Adam Czajka, Kevin Bowyer
http://arxiv.org/abs/2002.08916v1
• [cs.CV]Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang, Dapeng Hu, Jiashi Feng
http://arxiv.org/abs/2002.08546v1
• [cs.CV]Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching
Tianlang Chen, Jiebo Luo
http://arxiv.org/abs/2002.08510v1
• [cs.CV]Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming
Han Hu, Libin Wang, Yulin Ding, Qing Zhu
http://arxiv.org/abs/2002.08549v1
• [cs.CV]Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han, Junyu Gao, Yuan Yuan, Qi Wang
http://arxiv.org/abs/2002.08623v1
• [cs.CV]JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martin-Martin, Silvio Savarese
http://arxiv.org/abs/2002.08397v1
• [cs.CV]KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto
http://arxiv.org/abs/2002.08595v1
• [cs.CV]Learning Object Scale With Click Supervision for Object Detection
Liao Zhang, Yan Yan, Lin Cheng, Hanzi Wang
http://arxiv.org/abs/2002.08555v1
• [cs.CV]Modelling response to trypophobia trigger using intermediate layers of ImageNet networks
Piotr Woźnicki, Michał Kuźba, Piotr Migdał
http://arxiv.org/abs/2002.08490v1
• [cs.CV]MonoLayout: Amodal scene layout from a single image
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna
http://arxiv.org/abs/2002.08394v1
• [cs.CV]Neural Network Compression Framework for fast model inference
Alexander Kozlov, Ivan Lazarevich, Vasily Shamporov, Nikolay Lyalyushkin, Yury Gorbachev
http://arxiv.org/abs/2002.08679v1
• [cs.CV]Object 6D Pose Estimation with Non-local Attention
Jianhan Mei, Henghui Ding, Xudong Jiang
http://arxiv.org/abs/2002.08749v1
• [cs.CV]Photorealistic Lip Sync with Adversarial Temporal Convolutional Networks
Ruobing Zheng, Zhou Zhu, Bo Song, Changjiang Ji
http://arxiv.org/abs/2002.08700v1
• [cs.CV]Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjoern Ommer, Joseph Paul Cohen
http://arxiv.org/abs/2002.08473v1
• [cs.CV]Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
http://arxiv.org/abs/2002.08725v1
• [cs.CV]SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion
Samik Banerjee, Sukhendu Das
http://arxiv.org/abs/2002.08448v1
• [cs.CV]Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
http://arxiv.org/abs/2002.08945v1
• [cs.CV]Strategy to Increase the Safety of a DNN-based Perception for HAD Systems
Timo Sämann, Peter Schlicht, Fabian Hüger
http://arxiv.org/abs/2002.08935v1
• [cs.CV]Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition
Jiaming Wang, Jun Du, Jianshu Zhang
http://arxiv.org/abs/2002.08670v1
• [cs.CV]Table-Top Scene Analysis Using Knowledge-Supervised MCMC
Ziyuan Liu, Dong Chen, Kai M. Wurm, Georg von Wichert
http://arxiv.org/abs/2002.08417v1
• [cs.CY]A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
http://arxiv.org/abs/2002.08035v2
• [cs.CY]Do you comply with AI? — Personalized explanations of learning algorithms and their impact on employees’ compliance behavior
NIklas Kuhl, Jodie Lobana, Christian Meske
http://arxiv.org/abs/2002.08777v1
• [cs.CY]The Problem with Metrics is a Fundamental Problem for AI
Rachel Thomas, David Uminsky
http://arxiv.org/abs/2002.08512v1
• [cs.DC]Knowledge and simplicial complexes
Hans van Ditmarsch, Eric Goubault, Jeremy Ledent, Sergio Rajsbaum
http://arxiv.org/abs/2002.08863v1
• [cs.DC]Reliable Distributed Clustering with Redundant Data Assignment
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
http://arxiv.org/abs/2002.08892v1
• [cs.DC]Two More Algorithms for Randomized Signature-Free Asynchronous Binary Byzantine Consensus with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
Tyler Crain
http://arxiv.org/abs/2002.08765v1
• [cs.GR]Computational Design with Crowds
Yuki Koyama, Takeo Igarashi
http://arxiv.org/abs/2002.08657v1
• [cs.GT]From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat, Remi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro Ortega, Neil Burch, Thomas Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
http://arxiv.org/abs/2002.08456v1
• [cs.GT]Stochastic Regret Minimization in Extensive-Form Games
Gabriele Farina, Christian Kroer, Tuomas Sandholm
http://arxiv.org/abs/2002.08493v1
• [cs.IR]Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
http://arxiv.org/abs/2002.08530v1
• [cs.IR]Processing topical queries on images of historical newspaper pages
José E. B. Maia, Gildácio J. de A. Sá
http://arxiv.org/abs/2002.08500v1
• [cs.IR]Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
http://arxiv.org/abs/2002.08575v1
• [cs.IR]Towards a Soft Faceted Browsing Scheme for Information Access
Yinan Zhang, Parikshit Sondhi, Anjan Goswami, ChengXiang Zhai
http://arxiv.org/abs/2002.08577v1
• [cs.IT]Convolutional Approximate Message-Passing
Keigo Takeuchi
http://arxiv.org/abs/2002.08632v1
• [cs.IT]Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo
http://arxiv.org/abs/2002.08710v1
• [cs.IT]Greedy weights for matroids
Trygve Johnsen, Hugues Verdure
http://arxiv.org/abs/2002.08824v1
• [cs.IT]Linear-time Erasure List-decoding of Expander Codes
Noga Ron-Zewi, Mary Wootters, Gilles Zémor
http://arxiv.org/abs/2002.08579v1
• [cs.IT]Massive MIMO with Multi-Antenna Users under Jointly Correlated Ricean Fading
Konstantinos Dovelos, Michail Matthaiou, Hien Quoc Ngo, Boris Bellalta
http://arxiv.org/abs/2002.08488v1
• [cs.IT]Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor
http://arxiv.org/abs/2002.08768v1
• [cs.IT]Programmable Metasurface Based Multicast Systems: Design and Analysis
Xiaoling Hu, Caijun Zhong, Yongxu Zhu, Xiaoming Chen, Zhaoyang Zhang
http://arxiv.org/abs/2002.08611v1
• [cs.IT]Storage Space Allocation Strategy for Digital Data with Message Importance
Shanyun Liu, Rui She, Zheqi Zhu, Pingyi Fan
http://arxiv.org/abs/2002.08428v1
• [cs.LG]A Bayes-Optimal View on Adversarial Examples
Eitan Richardson, Yair Weiss
http://arxiv.org/abs/2002.08859v1
• [cs.LG]A Novel Framework for Selection of GANs for an Application
Tanya Motwani, Manojkumar Parmar
http://arxiv.org/abs/2002.08641v1
• [cs.LG]A Structured Prediction Approach for Conditional Meta-Learning
Ruohan Wang, Yiannis Demiris, Carlo Ciliberto
http://arxiv.org/abs/2002.08799v1
• [cs.LG]Adaptive Graph Auto-Encoder for General Data Clustering
Xuelong Li, Hongyuan Zhang, Rui Zhang
http://arxiv.org/abs/2002.08648v1
• [cs.LG]Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
Ilqar Ramazanli, Han Nguyen, Hai Pham, Sashank Reddi, Barnabas Poczos
http://arxiv.org/abs/2002.08528v1
• [cs.LG]AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
http://arxiv.org/abs/2002.08439v1
• [cs.LG]Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Russell Tsuchida, Tim Pearce, Christopher Van Der Heide, Fred Roosta, Marcus Gallagher
http://arxiv.org/abs/2002.08517v1
• [cs.LG]Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Gordon Wilson, Pavel Izmailov
http://arxiv.org/abs/2002.08791v1
• [cs.LG]Bimodal Distribution Removal and Genetic Algorithm in Neural Network for Breast Cancer Diagnosis
Ke Quan
http://arxiv.org/abs/2002.08729v1
• [cs.LG]Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu
http://arxiv.org/abs/2002.08619v1
• [cs.LG]Computationally Tractable Riemannian Manifolds for Graph Embeddings
Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea
http://arxiv.org/abs/2002.08665v1
• [cs.LG]Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou
http://arxiv.org/abs/2002.08809v1
• [cs.LG]Differentially Private ERM Based on Data Perturbation
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang
http://arxiv.org/abs/2002.08578v1
• [cs.LG]Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
http://arxiv.org/abs/2002.08860v1
• [cs.LG]Diversity sampling is an implicit regularization for kernel methods
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
http://arxiv.org/abs/2002.08616v1
• [cs.LG]Do We Need Zero Training Loss After Achieving Zero Training Error?
Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama
http://arxiv.org/abs/2002.08709v1
• [cs.LG]Dynamic Federated Learning
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
http://arxiv.org/abs/2002.08782v1
• [cs.LG]Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Xuelong Li, Hongyuan Zhang, Rui Zhang
http://arxiv.org/abs/2002.08643v1
• [cs.LG]Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?
R. Fasoulis, K. Bougiatiotis, F. Aisopos, A. Nentidis, G. Paliouras
http://arxiv.org/abs/2002.08762v1
• [cs.LG]Estimating Training Data Influence by Tracking Gradient Descent
Garima Pruthi, Frederick Liu, Mukund Sundararajan, Satyen Kale
http://arxiv.org/abs/2002.08484v1
• [cs.LG]How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl
http://arxiv.org/abs/2002.08795v1
• [cs.LG]Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao
http://arxiv.org/abs/2002.08949v1
• [cs.LG]Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
http://arxiv.org/abs/2002.07916v2
• [cs.LG]Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang, Yong Liu, Ben Niu, Xinyi Tong, Likun Zhang, Weiping Wang
http://arxiv.org/abs/2002.08570v1
• [cs.LG]Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
http://arxiv.org/abs/2002.08596v1
• [cs.LG]Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Martin Riedmiller
http://arxiv.org/abs/2002.08396v1
• [cs.LG]Learning with Differentiable Perturbed Optimizers
Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis Bach
http://arxiv.org/abs/2002.08676v1
• [cs.LG]Meta-learning for mixed linear regression
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh
http://arxiv.org/abs/2002.08936v1
• [cs.LG]Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
Md. Shirajum Munir, Nguyen H. Tran, Walid Saad, Choong Seon Hong
http://arxiv.org/abs/2002.08567v1
• [cs.LG]Multi-step Online Unsupervised Domain Adaptation
J. H. Moon, Debasmit Das, C. S. George Lee
http://arxiv.org/abs/2002.08930v1
• [cs.LG]NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion
Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi
http://arxiv.org/abs/2002.08527v1
• [cs.LG]No-Regret and Incentive-Compatible Online Learning
Rupert Freeman, David M. Pennock, Chara Podimata, Jennifer Wortman Vaughan
http://arxiv.org/abs/2002.08837v1
• [cs.LG]Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems
Yahya Sattar, Samet Oymak
http://arxiv.org/abs/2002.08538v1
• [cs.LG]Nyström Subspace Learning for Large-scale SVMs
Weida Li, Mingxia Liu, Daoqiang Zhang
http://arxiv.org/abs/2002.08937v1
• [cs.LG]On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
http://arxiv.org/abs/2002.08599v1
• [cs.LG]On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem
http://arxiv.org/abs/2002.08838v1
• [cs.LG]Online high rank matrix completion
Jicong Fan, Madeleine Udell
http://arxiv.org/abs/2002.08934v1
• [cs.LG]Optimizing Black-box Metrics with Adaptive Surrogates
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Harikrishna Narasimhan, Maya Gupta
http://arxiv.org/abs/2002.08605v1
• [cs.LG]Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, Jose Cano, Elliot J. Crowley, Bjorn Franke, Amos Storkey, Michael O’Boyle
http://arxiv.org/abs/2002.08697v1
• [cs.LG]PrivacyFL: A simulator for privacy-preserving and secure federated learning
Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
http://arxiv.org/abs/2002.08423v1
• [cs.LG]Regret Minimization in Stochastic Contextual Dueling Bandits
Aadirupa Saha, Aditya Gopalan
http://arxiv.org/abs/2002.08583v1
• [cs.LG]Regularized Autoencoders via Relaxed Injective Probability Flow
Abhishek Kumar, Ben Poole, Kevin Murphy
http://arxiv.org/abs/2002.08927v1
• [cs.LG]Safe Counterfactual Reinforcement Learning
Yusuke Narita, Shota Yasui, Kohei Yata
http://arxiv.org/abs/2002.08536v1
• [cs.LG]Scalable Constrained Bayesian Optimization
David Eriksson, Matthias Poloczek
http://arxiv.org/abs/2002.08526v1
• [cs.LG]Set2Graph: Learning Graphs From Sets
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
http://arxiv.org/abs/2002.08772v1
• [cs.LG]Stochastic Optimization for Regularized Wasserstein Estimators
Marin Ballu, Quentin Berthet, Francis Bach
http://arxiv.org/abs/2002.08695v1
• [cs.LG]Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
http://arxiv.org/abs/2002.08483v1
• [cs.LG]Support-weighted Adversarial Imitation Learning
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris
http://arxiv.org/abs/2002.08803v1
• [cs.LG]The Benefits of Pairwise Discriminators for Adversarial Training
Shangyuan Tong, Timur Garipov, Tommi Jaakkola
http://arxiv.org/abs/2002.08621v1
• [cs.LG]Towards Byzantine-resilient Learning in Decentralized Systems
Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu
http://arxiv.org/abs/2002.08569v1
• [cs.LG]Towards Certifiable Adversarial Sample Detection
Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson
http://arxiv.org/abs/2002.08740v1
• [cs.LG]Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
http://arxiv.org/abs/2002.08645v1
• [cs.LG]Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
You-Wei Luo, Chuan-Xian Ren, Pengfei Ge, Ke-Kun Huang, Yu-Feng Yu
http://arxiv.org/abs/2002.08675v1
• [cs.LG]Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia
http://arxiv.org/abs/2002.08681v1
• [cs.LG]Warm Starting Bandits with Side Information from Confounded Data
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
http://arxiv.org/abs/2002.08405v1
• [cs.MA]Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
Clément Moulin-Frier, Pierre-Yves Oudeyer
http://arxiv.org/abs/2002.08878v1
• [cs.NE]Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao, Mingxiang Chen, Qichang Chen, Ganzhong Luo, Nuoyi Zhu, Zhixin Liu
http://arxiv.org/abs/2002.08539v1
• [cs.NE]sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems
Cristian Ramirez-Atencia, Sanaz Mostaghim, David Camacho
http://arxiv.org/abs/2002.08867v1
• [cs.NI]Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
Yuxuan Sun, Sheng Zhou, Zhisheng Niu
http://arxiv.org/abs/2002.08833v1
• [cs.NI]Non-linear Age of Information in a Discrete Time Queue: Stationary Distribution and Average Performance Analysis
Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis
http://arxiv.org/abs/2002.08798v1
• [cs.NI]PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks
Qilin Fan, Jian Li, Xiuhua Li, Qiang He, Shu Fu, Sen Wang
http://arxiv.org/abs/2002.08805v1
• [cs.PF]Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers
Xingyu Zhou, Ness Shroff, Adam Wierman
http://arxiv.org/abs/2002.08908v1
• [cs.RO]A Hybrid Systems-based Hierarchical Control Architecture for Heterogeneous Field Robot Teams
Chanyoung Ju, Hyoung Il Son
http://arxiv.org/abs/2002.08602v1
• [cs.RO]Act, Perceive, and Plan in Belief Space for Robot Localization
Michele Colledanchise, Damiano Malafronte, Lorenzo Natale
http://arxiv.org/abs/2002.08124v2
• [cs.RO]An improved FastEuler-DLKF small-UAV AHRS algorithm
Yue Yang
http://arxiv.org/abs/2002.08429v1
• [cs.RO]Dynamic SLAM: The Need For Speed
Mina Henein, Jun Zhang, Robert Mahony, Viorela Ila
http://arxiv.org/abs/2002.08584v1
• [cs.RO]Interactive Natural Language-based Person Search
Vikram Shree, Wei-Lun Chao, Mark Campbell
http://arxiv.org/abs/2002.08434v1
• [cs.RO]Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan
http://arxiv.org/abs/2002.08550v1
• [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
http://arxiv.org/abs/2002.06874v3
• [cs.RO]Optimally Guarding Perimeters and Regions with Mobile Range Sensors
Si Wei Feng, Jingjin Yu
http://arxiv.org/abs/2002.08477v1
• [cs.RO]Reactive Navigation in Partially Familiar Planar Environments Using Semantic Perceptual Feedback
Vasileios Vasilopoulos, Georgios Pavlakos, Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek
http://arxiv.org/abs/2002.08946v1
• [cs.SE]Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
http://arxiv.org/abs/2002.08653v1
• [cs.SI]Continuous Influence-based Community Partition for Social Networks
Qiufen Ni, Jianxiong Guo, Weili Wu, Chuanhe Huang
http://arxiv.org/abs/2002.08554v1
• [eess.AS]An empirical study of Conv-TasNet
Berkan Kadioglu, Michael Horgan, Xiaoyu Liu, Jordi Pons, Dan Darcy, Vivek Kumar
http://arxiv.org/abs/2002.08688v1
• [eess.AS]Disentangled Speech Embeddings using Cross-modal Self-supervision
Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman
http://arxiv.org/abs/2002.08742v1
• [eess.AS]Imputer: Sequence Modelling via Imputation and Dynamic Programming
William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly
http://arxiv.org/abs/2002.08926v1
• [eess.AS]Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier
http://arxiv.org/abs/2002.08933v1
• [eess.IV]Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao
http://arxiv.org/abs/2002.08587v1
• [eess.IV]Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition
Qing Zhu, Lin Chen, Han Hu, Binzhi Xu, Yeting Zhang, Haifeng Li
http://arxiv.org/abs/2002.08547v1
• [eess.IV]Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman
http://arxiv.org/abs/2002.08820v1
• [eess.IV]Fine tuning U-Net for ultrasound image segmentation: which layers?
Mina Amiri, Rupert Brooks, Hassan Rivaz
http://arxiv.org/abs/2002.08438v1
• [eess.IV]T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis
Weinan Song, Yuan Liang, Kun Wang, Lei He
http://arxiv.org/abs/2002.08406v1
• [eess.SP]A Testbed for Assessment of Fountain Codes for Wireless Channels
M. Usman, J. Dunlop
http://arxiv.org/abs/2002.08604v1
• [eess.SP]Kalman Filtering With Censored Measurements
Kostas Loumponias, George Tsaklidis
http://arxiv.org/abs/2002.08597v1
• [math.NA]Entrywise convergence of iterative methods for eigenproblems
Vasileios Charisopoulos, Austin R. Benson, Anil Damle
http://arxiv.org/abs/2002.08491v1
• [math.OC]Adaptive Temporal Difference Learning with Linear Function Approximation
Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li
http://arxiv.org/abs/2002.08537v1
• [math.OC]Bounding the expected run-time of nonconvex optimization with early stopping
Thomas Flynn, Kwang Min Yu, Abid Malik, Nicolas D’Imperio, Shinjae Yoo
http://arxiv.org/abs/2002.08856v1
• [math.OC]Contextual Reserve Price Optimization in Auctions
Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab Mirrokni
http://arxiv.org/abs/2002.08841v1
• [math.OC]Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities
Jelena Diakonikolas
http://arxiv.org/abs/2002.08872v1
• [math.OC]Second-order Conditional Gradients
Alejandro Carderera, Sebastian Pokutta
http://arxiv.org/abs/2002.08907v1
• [math.OC]The Directional Optimal Transport
Marcel Nutz, Ruodu Wang
http://arxiv.org/abs/2002.08717v1
• [math.ST]Asymptotically Optimal Bias Reduction for Parametric Models
Stéphane Guerrier, Mucyo Karemera, Samuel Orso, Maria-Pia Victoria-Feser
http://arxiv.org/abs/2002.08757v1
• [math.ST]Consistent model selection procedure for general integer-valued time series
Mamadou Lamine Diop, William Kengne
http://arxiv.org/abs/2002.08789v1
• [math.ST]Derivation of the Exact Moments of the Distribution of Pearsons Correlation over Permutations of Data
Marc Jaffrey, Michael Dushkoff
http://arxiv.org/abs/2002.08543v1
• [math.ST]Generalized sampling with functional principal components for high-resolution random field estimation
Milana Gataric
http://arxiv.org/abs/2002.08724v1
• [math.ST]On conditional versus marginal bias in multi-armed bandits
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
http://arxiv.org/abs/2002.08422v1
• [math.ST]On the geometric properties of finite mixture models
Michele Caprio, Sayan Mukherjee
http://arxiv.org/abs/2002.08409v1
• [physics.ao-ph]Towards Physically-consistent, Data-driven Models of Convection
Tom Beucler, Michael Pritchard, Pierre Gentine, Stephan Rasp
http://arxiv.org/abs/2002.08525v1
• [physics.med-ph]Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma
http://arxiv.org/abs/2002.08356v1
• [q-fin.ST]Forecasting Realized Volatility Matrix With Copula-Based Models
Wenjing Wang, Minjing Tao
http://arxiv.org/abs/2002.08849v1
• [quant-ph]Predicting Many Properties of a Quantum System from Very Few Measurements
Hsin-Yuan Huang, Richard Kueng, John Preskill
http://arxiv.org/abs/2002.08953v1
• [stat.AP]A Bayes Factor Approach with Informative Prior for Rare Genetic Variant Analysis from Next Generation Sequencing Data
Jingxiong Xu, Wei Xu, Laurent Briollais
http://arxiv.org/abs/2002.08505v1
• [stat.AP]A Bayesian Feature Allocation Model for Identification of Cell Subpopulations Using Cytometry Data
Arthur Lui, Juhee Lee, Peter F. Thall, May Daher, Katy Rezvani, Rafet Barar
http://arxiv.org/abs/2002.08609v1
• [stat.AP]Queueing Subject To Action-Dependent Server Performance: Utilization Rate Reduction
Michael Lin, Nuno C. Martins, Richard J. La
http://arxiv.org/abs/2002.08514v1
• [stat.AP]ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small
http://arxiv.org/abs/2002.08457v1
• [stat.ME]A non-inferiority test for R-squared with random regressors
Harlan Campbell
http://arxiv.org/abs/2002.08476v1
• [stat.ME]APTER: Aggregated Prognosis Through Exponential Reweighting
Kristiaan Pelckmans, Liu Yang
http://arxiv.org/abs/2002.08731v1
• [stat.ME]Causal Inference under Networked Interference
Yunpu Ma, Yuyi Wang, Volker Tresp
http://arxiv.org/abs/2002.08506v1
• [stat.ME]False Discovery Rate Control via Data Splitting
Chenguang Dai, Buyu Lin, Xin Xing, Jun S. Liu
http://arxiv.org/abs/2002.08542v1
• [stat.ME]Familywise Error Rate Control by Interactive Unmasking
Boyan Duan, Aaditya Ramdas, Larry Wasserman
http://arxiv.org/abs/2002.08545v1
• [stat.ME]Network Group Hawkes Process Model
Haochen Xu, Guanhua Fang, Xuening Zhu
http://arxiv.org/abs/2002.08521v1
• [stat.ME]Robust M-estimation for Partially Observed Functional Data
Yeonjoo Park, Xiaohui Chen, Douglas G. Simpson
http://arxiv.org/abs/2002.08560v1
• [stat.ML]A General Pairwise Comparison Model for Extremely Sparse Networks
Ruijian Han, Yiming Xu, Kani Chen
http://arxiv.org/abs/2002.08853v1
• [stat.ML]A Scalable Framework for Sparse Clustering Without Shrinkage
Zhiyue Zhang, Kenneth Lange, Jason Xu
http://arxiv.org/abs/2002.08541v1
• [stat.ML]A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance
Qiong Zhang, Jiahua Chen
http://arxiv.org/abs/2002.08410v1
• [stat.ML]Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds
Georgios Giasemidis
http://arxiv.org/abs/2002.08465v1
• [stat.ML]Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga
http://arxiv.org/abs/2002.08871v1
• [stat.ML]I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models
Adarsh Subbaswamy, Suchi Saria
http://arxiv.org/abs/2002.08948v1
• [stat.ML]Implicit Regularization of Random Feature Models
Arthur Jacot, Berfin Şimşek, Francesco Spadaro, Clément Hongler, Franck Gabriel
http://arxiv.org/abs/2002.08404v1
• [stat.ML]Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
http://arxiv.org/abs/2002.08943v1
• [stat.ML]Learning Gaussian Graphical Models via Multiplicative Weights
Anamay Chaturvedi, Jonathan Scarlett
http://arxiv.org/abs/2002.08663v1
• [stat.ML]Propose, Test, Release: Differentially private estimation with high probability
Victor-Emmanuel Brunel, Marco Avella-Medina
http://arxiv.org/abs/2002.08774v1
• [stat.ML]Pruning untrained neural networks: Principles and Analysis
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh
http://arxiv.org/abs/2002.08797v1
• [stat.ML]Residual Bootstrap Exploration for Bandit Algorithms
Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng
http://arxiv.org/abs/2002.08436v1
• [stat.ML]Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu, Shih-Kang Chao, Guang Cheng
http://arxiv.org/abs/2002.08443v1
• [stat.ML]The continuous categorical: a novel simplex-valued exponential family
Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John P. Cunningham
http://arxiv.org/abs/2002.08563v1
• [stat.ML]Weakly-supervised Multi-output Reg
4000
ression via Correlated Gaussian Processes
Seokhyun Chung, Raed Al Kontar, Zhenke Wu
http://arxiv.org/abs/2002.08412v1
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