cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.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.RO - 机器人学 cs.SD - 声音处理 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.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学
• [cond-mat.mtrl-sci]Assessing Graph-based Deep Learning Models for Predicting Flash Point
• [cs.AI]A neural network model of perception and reasoning
• [cs.AI]Counterfactual fairness: removing direct effects through regularization
• [cs.AI]Neural Lyapunov Model Predictive Control
• [cs.AI]TanksWorld: A Multi-Agent Environment for AI Safety Research
• [cs.AI]The Emerging Landscape of Explainable AI Planning and Decision Making
• [cs.AI]Topologically sensitive metaheuristics
• [cs.AI]Turning 30: New Ideas in Inductive Logic Programming
• [cs.AI]Very simple statistical evidence that AlphaGo has exceeded human limits in playing GO game
• [cs.AI]Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection
• [cs.CL]Detecting Potential Topics In News Using BERT, CRF and Wikipedia
• [cs.CL]End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
• [cs.CL]Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
• [cs.CL]Speech2Phone: A Multilingual and Text Independent Speaker Identification Model
• [cs.CL]Using Distributional Thesaurus Embedding for Co-hyponymy Detection
• [cs.CR]Improved Extension Protocols for Byzantine Broadcast and Agreement
• [cs.CR]IoT Device Identification Using Deep Learning
• [cs.CR]On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
• [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
• [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
• [cs.CV]Adversarial Attack on Deep Product Quantization Network for Image Retrieval
• [cs.CV]Adversarial Ranking Attack and Defense
• [cs.CV]Controllable Descendant Face Synthesis
• [cs.CV]CookGAN: Meal Image Synthesis from Ingredients
• [cs.CV]Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
• [cs.CV]Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
• [cs.CV]Deform-GAN:An Unsupervised Learning Model for Deformable Registration
• [cs.CV]Disentangling Image Distortions in Deep Feature Space
• [cs.CV]Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
• [cs.CV]Efficient Semantic Video Segmentation with Per-frame Inference
• [cs.CV]FPConv: Learning Local Flattening for Point Convolution
• [cs.CV]Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
• [cs.CV]Generalized Product Quantization Network for Semi-supervised Hashing
• [cs.CV]Geometric Fusion via Joint Delay Embeddings
• [cs.CV]Globally Optimal Contrast Maximisation for Event-based Motion Estimation
• [cs.CV]Graphcore C2 Card performance for image-based deep learning application: A Report
• [cs.CV]Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
• [cs.CV]MPM: Joint Representation of Motion and Position Map for Cell Tracking
• [cs.CV]MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
• [cs.CV]Mnemonics Training: Multi-Class Incremental Learning without Forgetting
• [cs.CV]Multi-Attribute Guided Painting Generation
• [cs.CV]Object Relational Graph with Teacher-Recommended Learning for Video Captioning
• [cs.CV]On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
• [cs.CV]Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
• [cs.CV]Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
• [cs.CV]PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
• [cs.CV]PuzzleNet: Scene Text Detection by Segment Context Graph Learning
• [cs.CV]Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
• [cs.CV]Rethinking the Route Towards Weakly Supervised Object Localization
• [cs.CV]Self-supervised Image Enhancement Network: Training with Low Light Images Only
• [cs.CV]Style Transfer for Light Field Photography
• [cs.CV]Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
• [cs.CV]Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
• [cs.CV]Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
• [cs.CV]Unsupervised Semantic Attribute Discovery and Control in Generative Models
• [cs.CV]Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
• [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
• [cs.CY]CausalML: Python Package for Causal Machine Learning
• [cs.CY]Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide
• [cs.CY]Interactive Summarizing — Automatic Slide Localization Technology as Generative Learning Tool
• [cs.CY]Simpler handling of clinical concepts in R with clinconcept
• [cs.DB]Video Monitoring Queries
• [cs.DC]A Systematic Survey of General Sparse Matrix-Matrix Multiplication
• [cs.DC]Appending Atomically in Byzantine Distributed Ledgers
• [cs.DC]Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking
• [cs.DC]HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
• [cs.DC]Relaxed Scheduling for Scalable Belief Propagation
• [cs.DC]Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality
• [cs.DC]Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
• [cs.DC]Upper and Lower Bounds on the Space Complexity of Detectable Object
• [cs.DS]Compact Representation of Uncertainty in Hierarchical Clustering
• [cs.DS]Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
• [cs.DS]On Learning a Hidden Directed Graph with Path Queries
• [cs.DS]Query-Efficient Correlation Clustering
• [cs.GT]Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
• [cs.IR]AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
• [cs.IR]Ranking a set of objects: a graph based least-square approach
• [cs.IT]A structural attack to the DME-(3,2,q) cryptosystem
• [cs.IT]Age-optimal Service and Decision Scheduling in Internet of Things
• [cs.IT]Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes
• [cs.IT]Minimax Optimal Estimation of KL Divergence for Continuous Distributions
• [cs.IT]Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks
• [cs.IT]Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points
• [cs.IT]Polar-Slotted ALOHA over Slot Erasure Channels
• [cs.IT]Refined Strong Converse for the Constant Composition Codes
• [cs.IT]Symmetric uncoded caching schemes with low subpacketization levels
• [cs.IT]Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes
• [cs.LG]A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
• [cs.LG]A Survey towards Federated Semi-supervised Learning
• [cs.LG]Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
• [cs.LG]CLARA: Clinical Report Auto-completion
• [cs.LG]Complete Dictionary Learning via $\ell_p$-norm Maximization
• [cs.LG]Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
• [cs.LG]Convex Geometry and Duality of Over-parameterized Neural Networks
• [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
• [cs.LG]DLSpec: A Deep Learning Task Exchange Specification
• [cs.LG]DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
• [cs.LG]DeBayes: a Bayesian method for debiasing network embeddings
• [cs.LG]Decidability of Sample Complexity of PAC Learning in finite setting
• [cs.LG]Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
• [cs.LG]Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation
• [cs.LG]Dual Graph Representation Learning
• [cs.LG]Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
• [cs.LG]Efficient Rollout Strategies for Bayesian Optimization
• [cs.LG]EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings
• [cs.LG]Fair Learning with Private Demographic Data
• [cs.LG]Generalized Hindsight for Reinforcement Learning
• [cs.LG]Invariance vs. Robustness of Neural Networks
• [cs.LG]Learning Navigation Costs from Demonstration in Partially Observable Environments
• [cs.LG]Lipschitz standardization for robust multivariate learning
• [cs.LG]NestedVAE: Isolating Common Factors via Weak Supervision
• [cs.LG]NeuralSens: Sensitivity Analysis of Neural Networks
• [cs.LG]Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
• [cs.LG]Nonlinear classifiers for ranking problems based on kernelized SVM
• [cs.LG]Overfitting in adversarially robust deep learning
• [cs.LG]PHS: A Toolbox for Parellel Hyperparameter Search
• [cs.LG]PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
• [cs.LG]Provable Meta-Learning of Linear Representations
• [cs.LG]Randomization matters. How to defend against strong adversarial attacks
• [cs.LG]Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling
• [cs.LG]Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
• [cs.LG]Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
• [cs.LG]Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
• [cs.LG]Sparse Sinkhorn Attention
• [cs.LG]Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
• [cs.LG]Supervised Categorical Metric Learning with Schatten p-Norms
• [cs.LG]TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
• [cs.LG]Understanding Self-Training for Gradual Domain Adaptation
• [cs.LG]When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning
• [cs.MA]RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
• [cs.NE]Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
• [cs.NI]IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
• [cs.RO]Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
• [cs.RO]Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure
• [cs.RO]From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
• [cs.RO]Least Squares Optimization: from Theory to Practice
• [cs.RO]Linear-Time Variational Integrators in Maximal Coordinates
• [cs.RO]Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
• [cs.RO]Probabilistic approach to physical object disentangling
• [cs.SD]An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
• [cs.SI]An Information Diffusion Approach to Rumor Propagation and Identification on Twitter
• [cs.SI]Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces
• [cs.SI]MGA: Momentum Gradient Attack on Network
• [cs.SI]Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
• [cs.SI]Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars
• [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
• [eess.IV]Automatically Searching for U-Net Image Translator Architecture
• [eess.IV]CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
• [eess.IV]Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”
• [eess.IV]Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
• [eess.IV]Unpaired Image Super-Resolution using Pseudo-Supervision
• [eess.SP]Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications
• [eess.SP]Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network
• [eess.SP]Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels
• [eess.SP]Learning Product Graphs Underlying Smooth Graph Signals
• [eess.SP]Multi-frequency calibration for DOA estimation with distributed sensors
• [eess.SY]Calculations of System Adequacy Considering Heat Transition Pathways
• [math.DS]Assignment Flows for Data Labeling on Graphs: Convergence and Stability
• [math.NA]Numerical Solution of Inverse Problems by Weak Adversarial Networks
• [math.OC]Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
• [math.OC]Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
• [math.OC]Efficient algorithms for multivariate shape-constrained convex regression problems
• [math.OC]Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
• [math.PR]A CLT in Stein’s distance for generalized Wishart matrices and higher order tensors
• [math.ST]A Balancing Weight Framework for Estimating the Causal Effect of General Treatments
• [math.ST]A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves
• [math.ST]A short note on learning discrete distributions
• [math.ST]Aggregated hold out for sparse linear regression with a robust loss function
• [math.ST]An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
• [math.ST]Extremes of Censored and Uncensored Lifetimes in Survival Data
• [math.ST]Scientific versus statistical modelling: a unifying approach
• [physics.ao-ph]Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning
• [physics.comp-ph]Machine Learning based prediction of noncentrosymmetric crystal materials
• [physics.soc-ph]Lying on networks: The role of structure and topology in promoting honesty
• [q-bio.NC]A Quantized Representation of Intertemporal Choice in the Brain
• [q-bio.PE]The Moran Genealogy Process
• [q-fin.CP]Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale
• [stat.AP]Correspondence Analysis between the Location and the Leading Causes of Death in the United States
• [stat.AP]Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
• [stat.CO]Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
• [stat.ME]Classical and Bayesian Analyses of a Mixture of Exponential and Lomax Distributions
• [stat.ME]Paired Comparisons Modeling using t-Distribution with Bayesian Analysis
• [stat.ML]A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing
• [stat.ML]A general framework for ensemble distribution distillation
• [stat.ML]Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
• [stat.ML]Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
• [stat.ML]Bayesian Nonparametric Space Partitions: A Survey
• [stat.ML]Device Heterogeneity in Federated Learning: A Superquantile Approach
• [stat.ML]Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
• [stat.ML]ICE-BeeM: Identifiable Conditional Energy-Based Deep Models
• [stat.ML]Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
• [stat.ML]Information Directed Sampling for Linear Partial Monitoring
• [stat.ML]Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
• [stat.ML]Predicting Neural Network Accuracy from Weights
• [stat.ML]Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
• [stat.ML]Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy
• [stat.ML]Smoothing Graphons for Modelling Exchangeable Relational Data
• [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
• [stat.ML]The role of regularization in classification of high-dimensional noisy Gaussian mixture
• [stat.OT]Liquid Scorecards
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• [cond-mat.mtrl-sci]Assessing Graph-based Deep Learning Models for Predicting Flash Point
Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz, Wei-Ting Chen, Qiying Li, Zuoyi Li, Xianjia Shao, Alfred Sunaryo, Mingren Shen, James Wang, Dane Morgan
http://arxiv.org/abs/2002.11315v1
• [cs.AI]A neural network model of perception and reasoning
Paul J. Blazek, Milo M. Lin
http://arxiv.org/abs/2002.11319v1
• [cs.AI]Counterfactual fairness: removing direct effects through regularization
Pietro G. Di Stefano, James M. Hickey, Vlasios Vasileiou
http://arxiv.org/abs/2002.10774v2
• [cs.AI]Neural Lyapunov Model Predictive Control
Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, Jan Koutník
http://arxiv.org/abs/2002.10451v1
• [cs.AI]TanksWorld: A Multi-Agent Environment for AI Safety Research
Corban G. Rivera, Olivia Lyons, Arielle Summitt, Ayman Fatima, Ji Pak, William Shao, Robert Chalmers, Aryeh Englander, Edward W. Staley, I-Jeng Wang, Ashley J. Llorens
http://arxiv.org/abs/2002.11174v1
• [cs.AI]The Emerging Landscape of Explainable AI Planning and Decision Making
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
http://arxiv.org/abs/2002.11697v1
• [cs.AI]Topologically sensitive metaheuristics
Aleksandar Kartelj, Vladimir Filipović, Siniša Vrećica, Rade Živaljević
http://arxiv.org/abs/2002.11164v1
• [cs.AI]Turning 30: New Ideas in Inductive Logic Programming
Andrew Cropper, Sebastijan Dumančić, Stephen H. Muggleton
http://arxiv.org/abs/2002.11002v2
• [cs.AI]Very simple statistical evidence that AlphaGo has exceeded human limits in playing GO game
Okyu Kwon
http://arxiv.org/abs/2002.11107v1
• [cs.AI]Wavelet-based Temporal Forecasting Models of Human Activities for Anomaly Detection
Manuel Fernandez-Carmona, Nicola Bellotto
http://arxiv.org/abs/2002.11503v1
• [cs.CL]Detecting Potential Topics In News Using BERT, CRF and Wikipedia
Swapnil Ashok Jadhav
http://arxiv.org/abs/2002.11402v1
• [cs.CL]End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann, Asja Fischer
http://arxiv.org/abs/2002.11143v1
• [cs.CL]Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
Swapnil Ashok Jadhav
http://arxiv.org/abs/2002.11643v1
• [cs.CL]Speech2Phone: A Multilingual and Text Independent Speaker Identification Model
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby, Hamilton Pereira da Silva, Pedro Luiz de Paula Filho, Alessandro Ferreira Cordeiro, Victor de Oliveira Guedes, Sandra Maria Aluisio
http://arxiv.org/abs/2002.11213v1
• [cs.CL]Using Distributional Thesaurus Embedding for Co-hyponymy Detection
Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal
http://arxiv.org/abs/2002.11506v1
• [cs.CR]Improved Extension Protocols for Byzantine Broadcast and Agreement
Kartik Nayak, Ling Ren, Elaine Shi, Nitin H. Vaidya, Zhuolun Xiang
http://arxiv.org/abs/2002.11321v1
• [cs.CR]IoT Device Identification Using Deep Learning
Jaidip Kotak, Yuval Elovici
http://arxiv.org/abs/2002.11686v1
• [cs.CR]On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya, Tudor Dumitraş, Nicolas Papernot
http://arxiv.org/abs/2002.11497v1
• [cs.CR]Secure and Reliable Key Agreement with Physical Unclonable Functions
Onur Günlü, Tasnad Kernetzky, Onurcan İşcan, Vladimir Sidorenko, Gerhard Kramer, Rafael F. Schaefer
http://arxiv.org/abs/2002.11687v1
• [cs.CV]A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
Hugo Proença, Ehsan Yaghoubi
http://arxiv.org/abs/2002.11644v1
• [cs.CV]Adversarial Attack on Deep Product Quantization Network for Image Retrieval
Yan Feng, Bin Chen, Tao Dai, Shutao Xia
http://arxiv.org/abs/2002.11374v1
• [cs.CV]Adversarial Ranking Attack and Defense
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
http://arxiv.org/abs/2002.11293v1
• [cs.CV]Controllable Descendant Face Synthesis
Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li
http://arxiv.org/abs/2002.11376v1
• [cs.CV]CookGAN: Meal Image Synthesis from Ingredients
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
http://arxiv.org/abs/2002.11493v1
• [cs.CV]Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
http://arxiv.org/abs/2002.10650v2
• [cs.CV]Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li
http://arxiv.org/abs/2002.10826v2
• [cs.CV]Deform-GAN:An Unsupervised Learning Model for Deformable Registration
Xiaoyue Zhang, Weijian Jian, Yu Chen, Shihting Yang
http://arxiv.org/abs/2002.11430v1
• [cs.CV]Disentangling Image Distortions in Deep Feature Space
Simone Bianco, Luigi Celona, Paolo Napoletano, Raimondo Schettini
http://arxiv.org/abs/2002.11409v1
• [cs.CV]Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu, Shuangjie Xu, Pan Zhou, Kun He, Wei Wei, Zichuan Xu
http://arxiv.org/abs/2002.11629v1
• [cs.CV]Efficient Semantic Video Segmentation with Per-frame Inference
Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
http://arxiv.org/abs/2002.11433v1
• [cs.CV]FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han
http://arxiv.org/abs/2002.10701v2
• [cs.CV]Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
http://arxiv.org/abs/2002.11297v1
• [cs.CV]Generalized Product Quantization Network for Semi-supervised Hashing
Young Kyun Jang, Nam Ik Cho
http://arxiv.org/abs/2002.11281v1
• [cs.CV]Geometric Fusion via Joint Delay Embeddings
Elchanan Solomon, Paul Bendich
http://arxiv.org/abs/2002.11201v1
• [cs.CV]Globally Optimal Contrast Maximisation for Event-based Motion Estimation
Daqi Liu, Álvaro Parra, Tat-Jun Chin
http://arxiv.org/abs/2002.10686v2
• [cs.CV]Graphcore C2 Card performance for image-based deep learning application: A Report
Ilyes Kacher, Maxime Portaz, Hicham Randrianarivo, Sylvain Peyronnet
http://arxiv.org/abs/2002.11670v1
• [cs.CV]Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
Jing Jin, Junhui Hou, Hui Yuan, Sam Kwong
http://arxiv.org/abs/2002.11263v1
• [cs.CV]MPM: Joint Representation of Motion and Position Map for Cell Tracking
Junya Hayashida, Kazuya Nishimura, Ryoma Bise
http://arxiv.org/abs/2002.10749v2
• [cs.CV]MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification
Yushi Lan, Yuan Liu, Maoqing Tian, Xinchi Zhou, Xuesen Zhang, Shuai Yi, Hongsheng Li
http://arxiv.org/abs/2002.10979v2
• [cs.CV]Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu, An-An Liu, Yuting Su, Bernt Schiele, Qianru Sun
http://arxiv.org/abs/2002.10211v2
• [cs.CV]Multi-Attribute Guided Painting Generation
Minxuan Lin, Yingying Deng, Fan Tang, Weiming Dong, Changsheng Xu
http://arxiv.org/abs/2002.11261v1
• [cs.CV]Object Relational Graph with Teacher-Recommended Learning for Video Captioning
Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zhengjun Zha
http://arxiv.org/abs/2002.11566v1
• [cs.CV]On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang
http://arxiv.org/abs/2002.10215v2
• [cs.CV]Pedestrian Models for Autonomous Driving Part I: low level models, from sensing to tracking
Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox
http://arxiv.org/abs/2002.11669v1
• [cs.CV]Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images
Tanmoy Mondal, LE Thi Thuy Trang, Mickaël Coustaty, Jean-Marc Ogier
http://arxiv.org/abs/2002.11424v1
• [cs.CV]PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu
http://arxiv.org/abs/2002.11559v1
• [cs.CV]PuzzleNet: Scene Text Detection by Segment Context Graph Learning
Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren
http://arxiv.org/abs/2002.11371v1
• [cs.CV]Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
Zhanzhan Cheng, Yunlu Xu, Mingjian Cheng, Yu Qiao, Shiliang Pu, Yi Niu, Fei Wu
http://arxiv.org/abs/2002.11338v1
• [cs.CV]Rethinking the Route Towards Weakly Supervised Object Localization
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
http://arxiv.org/abs/2002.11359v1
• [cs.CV]Self-supervised Image Enhancement Network: Training with Low Light Images Only
Yu Zhang, Xiaoguang Di, Bin Zhang, Chunhui Wang
http://arxiv.org/abs/2002.11300v1
• [cs.CV]Style Transfer for Light Field Photography
David Hart, Jessica Greenland, Bryan Morse
http://arxiv.org/abs/2002.11220v1
• [cs.CV]Super-Resolving Commercial Satellite Imagery Using Realistic Training Data
Xiang Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, Peyman Milanfar
http://arxiv.org/abs/2002.11248v1
• [cs.CV]Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova, Alexandr Dibrov, Gene Myers
http://arxiv.org/abs/2002.11434v1
• [cs.CV]Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho
http://arxiv.org/abs/2002.11244v1
• [cs.CV]Unsupervised Semantic Attribute Discovery and Control in Generative Models
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina
http://arxiv.org/abs/2002.11169v1
• [cs.CV]Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
http://arxiv.org/abs/2002.11367v1
• [cs.CV]Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
http://arxiv.org/abs/2002.11616v1
• [cs.CY]CausalML: Python Package for Causal Machine Learning
Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao
http://arxiv.org/abs/2002.11631v1
• [cs.CY]Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide
Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber
http://arxiv.org/abs/2002.11645v1
• [cs.CY]Interactive Summarizing — Automatic Slide Localization Technology as Generative Learning Tool
Lili Yan, Kai Li
http://arxiv.org/abs/2002.11203v1
• [cs.CY]Simpler handling of clinical concepts in R with clinconcept
Robert C. Free
http://arxiv.org/abs/2002.11431v1
• [cs.DB]Video Monitoring Queries
Nick Koudas, Raymond Li, Ioannis Xarchakos
http://arxiv.org/abs/2002.10537v1
• [cs.DC]A Systematic Survey of General Sparse Matrix-Matrix Multiplication
Jianhua Gao, Weixing Ji, Zhaonian Tan, Yueyan Zhao
http://arxiv.org/abs/2002.11273v1
• [cs.DC]Appending Atomically in Byzantine Distributed Ledgers
Vicent Cholvi, Antonio Fernandez Anta, Chryssis Georgiou, Nicolas Nicolaou, Michel Raynal
http://arxiv.org/abs/2002.11593v1
• [cs.DC]Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking
Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad
http://arxiv.org/abs/2002.11302v1
• [cs.DC]HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu
http://arxiv.org/abs/2002.11343v1
• [cs.DC]Relaxed Scheduling for Scalable Belief Propagation
Vitaly Aksenov, Dan Alistarh, Janne H. Korhonen
http://arxiv.org/abs/2002.11505v1
• [cs.DC]Romu: Fast Nonlinear Pseudo-Random Number Generators Providing High Quality
Mark A. Overton
http://arxiv.org/abs/2002.11331v1
• [cs.DC]Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
Kornilios Kourtis, Animesh Trivedi, Nikolas Ioannou
http://arxiv.org/abs/2002.11528v1
• [cs.DC]Upper and Lower Bounds on the Space Complexity of Detectable Object
Ohad Ben-Baruch, Danny Hendler, Matan Rusanovsky
http://arxiv.org/abs/2002.11378v1
• [cs.DS]Compact Representation of Uncertainty in Hierarchical Clustering
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum
http://arxiv.org/abs/2002.11661v1
• [cs.DS]Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
http://arxiv.org/abs/2002.11679v1
• [cs.DS]On Learning a Hidden Directed Graph with Path Queries
Mano Vikash Janardhanan, Lev Reyzin
http://arxiv.org/abs/2002.11541v1
• [cs.DS]Query-Efficient Correlation Clustering
David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos Tsourakakis
http://arxiv.org/abs/2002.11557v1
• [cs.GT]Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions
Kumar Abhishek, Shweta Jain, Sujit Gujar
http://arxiv.org/abs/2002.11349v1
• [cs.IR]AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang
http://arxiv.org/abs/2002.11252v1
• [cs.IR]Ranking a set of objects: a graph based least-square approach
Evgenia Christoforou, Alessandro Nordio, Alberto Tarable, Emilio Leonardi
http://arxiv.org/abs/2002.11590v1
• [cs.IT]A structural attack to the DME-(3,2,q) cryptosystem
Martin Avendano, Miguel A. Marco-Buzunariz
http://arxiv.org/abs/2002.10775v1
• [cs.IT]Age-optimal Service and Decision Scheduling in Internet of Things
Zhiwei Bao, Yunquan Dong, Zhengchuan Chen, Pingyi Fan, Khaled B. Letaief
http://arxiv.org/abs/2002.11283v1
• [cs.IT]Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes
Steven T. Dougherty, Joe Gildea, Adrian Korban, Abidin Kaya
http://arxiv.org/abs/2002.11614v1
• [cs.IT]Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Puning Zhao, Lifeng Lai
http://arxiv.org/abs/2002.11599v1
• [cs.IT]Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks
Muddassar Hussain, Maria Scalabrin, Michele Rossi, Nicolo Michelusi
http://arxiv.org/abs/2002.11210v1
• [cs.IT]Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points
Fadhil Firyaguna, Jacek Kibilda, Carlo Galiotto, Nicola Marchetti
http://arxiv.org/abs/2002.11407v1
• [cs.IT]Polar-Slotted ALOHA over Slot Erasure Channels
Zhijun Zhang, Kai Niu, Jincheng Dai, Chao Dong
http://arxiv.org/abs/2002.11386v1
• [cs.IT]Refined Strong Converse for the Constant Composition Codes
Hao-Chung Cheng, Baris Nakiboglu
http://arxiv.org/abs/2002.11414v1
• [cs.IT]Symmetric uncoded caching schemes with low subpacketization levels
Tai Do Duc, Shuo Shao, Chaoping Xing
http://arxiv.org/abs/2002.11383v1
• [cs.IT]Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes
Endrit Dosti, Mohammad Shehab, Hirley Alves, Matti Latva-aho
http://arxiv.org/abs/2002.11524v1
• [cs.LG]A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj Saunshi, Yi Zhang, Mikhail Khodak, Sanjeev Arora
http://arxiv.org/abs/2002.11172v1
• [cs.LG]A Survey towards Federated Semi-supervised Learning
Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
http://arxiv.org/abs/2002.11545v1
• [cs.LG]Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli
http://arxiv.org/abs/2002.11242v1
• [cs.LG]CLARA: Clinical Report Auto-completion
Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
http://arxiv.org/abs/2002.11701v1
• [cs.LG]Complete Dictionary Learning via $\ell_p$-norm Maximization
Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau
http://arxiv.org/abs/2002.10043v2
• [cs.LG]Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently
Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang
http://arxiv.org/abs/2002.11323v1
• [cs.LG]Convex Geometry and Duality of Over-parameterized Neural Networks
Tolga Ergen, Mert Pilanci
http://arxiv.org/abs/2002.11219v1
• [cs.LG]Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata
http://arxiv.org/abs/2002.11650v1
• [cs.LG]DLSpec: A Deep Learning Task Exchange Specification
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
http://arxiv.org/abs/2002.11262v1
• [cs.LG]DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin
http://arxiv.org/abs/2002.11270v1
• [cs.LG]DeBayes: a Bayesian method for debiasing network embeddings
Maarten Buyl, Tijl De Bie
http://arxiv.org/abs/2002.11442v1
• [cs.LG]Decidability of Sample Complexity of PAC Learning in finite setting
Alberto Gandolfi
http://arxiv.org/abs/2002.11519v1
• [cs.LG]Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
http://arxiv.org/abs/2002.11226v1
• [cs.LG]Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation
Frederik Harder, Kamil Adamczewski, Mijung Park
http://arxiv.org/abs/2002.11603v1
• [cs.LG]Dual Graph Representation Learning
Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
http://arxiv.org/abs/2002.11501v1
• [cs.LG]Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions
Negin Golrezaei, Adel Javanmard, Vahab Mirrokni
http://arxiv.org/abs/2002.11137v1
• [cs.LG]Efficient Rollout Strategies for Bayesian Optimization
Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel
http://arxiv.org/abs/2002.10539v2
• [cs.LG]EmbPred30: Assessing 30-days Readmission for Diabetic Patients using Categorical Embeddings
Sarthak, Shikhar Shukla, Surya Prakash Tripathi
http://arxiv.org/abs/2002.11215v1
• [cs.LG]Fair Learning with Private Demographic Data
Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
http://arxiv.org/abs/2002.11651v1
• [cs.LG]Generalized Hindsight for Reinforcement Learning
Alexander C. Li, Lerrel Pinto, Pieter Abbeel
http://arxiv.org/abs/2002.11708v1
• [cs.LG]Invariance vs. Robustness of Neural Networks
Sandesh Kamath, Amit Deshpande, K V Subrahmanyam
http://arxiv.org/abs/2002.11318v1
• [cs.LG]Learning Navigation Costs from Demonstration in Partially Observable Environments
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
http://arxiv.org/abs/2002.11637v1
• [cs.LG]Lipschitz standardization for robust multivariate learning
Adrián Javaloy, Isabel Valera
http://arxiv.org/abs/2002.11369v1
• [cs.LG]NestedVAE: Isolating Common Factors via Weak Supervision
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2002.11576v1
• [cs.LG]NeuralSens: Sensitivity Analysis of Neural Networks
J. Pizarroso, J. Portela, A. Muñoz
http://arxiv.org/abs/2002.11423v1
• [cs.LG]Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
Nirav Bhavsar, Prashanth L A
http://arxiv.org/abs/2002.11440v1
• [cs.LG]Nonlinear classifiers for ranking problems based on kernelized SVM
Václav Mácha, Lukáš Adam, Václav Šmídl
http://arxiv.org/abs/2002.11436v1
• [cs.LG]Overfitting in adversarially robust deep learning
Leslie Rice, Eric Wong, J. Zico Kolter
http://arxiv.org/abs/2002.11569v1
• [cs.LG]PHS: A Toolbox for Parellel Hyperparameter Search
Peter Michael Habelitz, Janis Keuper
http://arxiv.org/abs/2002.11429v1
• [cs.LG]PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
Wei Chen, Faez Ahmed
http://arxiv.org/abs/2002.11304v1
• [cs.LG]Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni, Chi Jin, Michael I. Jordan
http://arxiv.org/abs/2002.11684v1
• [cs.LG]Randomization matters. How to defend against strong adversarial attacks
Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
http://arxiv.org/abs/2002.11565v1
• [cs.LG]Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling
C. Kim, M. Bayati
http://arxiv.org/abs/2002.11589v1
• [cs.LG]Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy
http://arxiv.org/abs/2002.11052v2
• [cs.LG]Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space
Sandesh Ghimire, Prashnna K Gyawali, Linwei Wang
http://arxiv.org/abs/2002.11187v1
• [cs.LG]Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
http://arxiv.org/abs/2002.11328v1
• [cs.LG]Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
http://arxiv.org/abs/2002.11296v1
• [cs.LG]Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee
http://arxiv.org/abs/2002.11332v1
• [cs.LG]Supervised Categorical Metric Learning with Schatten p-Norms
Xuhui Fan, Eric Gaussier
http://arxiv.org/abs/2002.11246v1
• [cs.LG]TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
http://arxiv.org/abs/2002.11151v1
• [cs.LG]Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar, Tengyu Ma, Percy Liang
http://arxiv.org/abs/2002.11361v1
• [cs.LG]When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning
Xingbo Fu, Xuan Di, Zhaobin Mo
http://arxiv.org/abs/2002.11385v1
• [cs.MA]RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qing Li
http://arxiv.org/abs/2002.10641v1
• [cs.NE]Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
R Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa
http://arxiv.org/abs/2002.11656v1
• [cs.NI]IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
Sakib Ahmed, Touseef Saleh Bin Ahmed, Sumaiya Jafreen, Jannatul Tajrin, Jia Uddin
http://arxiv.org/abs/2002.11188v1
• [cs.RO]Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
Junjia Liu, Jiaying Shou, Zhuang Fu, Hangfei Zhou, Rongli Xie, Jun Zhang, Jian Fei, Yanna Zhao
http://arxiv.org/abs/2002.11573v1
• [cs.RO]Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure
Seung Jae Lee, Inkyu Jang, H. Jin Kim
http://arxiv.org/abs/2002.11326v1
• [cs.RO]From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)
Xin Ye, Yezhou Yang
http://arxiv.org/abs/2002.11310v1
• [cs.RO]Least Squares Optimization: from Theory to Practice
Giorgio Grisetti, Tiziano Guadagnino, Irvin Aloise, Mirco Colosi, Bartolomeo Della Corte, Dominik Schlegel
http://arxiv.org/abs/2002.11051v2
• [cs.RO]Linear-Time Variational Integrators in Maximal Coordinates
Jan Brüdigam, Zachary Manchester
http://arxiv.org/abs/2002.11245v1
• [cs.RO]Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning
Rohitkumar Arasanipalai, Aakriti Agrawal, Debasish Ghose
http://arxiv.org/abs/2002.11564v1
• [cs.RO]Probabilistic approach to physical object disentangling
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
http://arxiv.org/abs/2002.11495v1
• [cs.SD]An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarrello, Maximo Cobos
http://arxiv.org/abs/2002.11561v1
• [cs.SI]An Information Diffusion Approach to Rumor Propagation and Identification on Twitter
Abiola Osho, Caden Waters, George Amariucai
http://arxiv.org/abs/2002.11104v1
• [cs.SI]Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces
Santiago Andres Azcoitia, Marius Paraschiv, Nikolaos Laoutaris
http://arxiv.org/abs/2002.11193v1
• [cs.SI]MGA: Momentum Gradient Attack on Network
Jinyin Chen, Yixian Chen, Haibin Zheng, Shijing Shen, Shanqing Yu, Dan Zhang, Qi Xuan
http://arxiv.org/abs/2002.11320v1
• [cs.SI]Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
http://arxiv.org/abs/2002.11522v1
• [cs.SI]Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars
Rhyd Lewis
http://arxiv.org/abs/2002.11103v1
• [eess.AS]A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
Erik McDermott, Hasim Sak, Ehsan Variani
http://arxiv.org/abs/2002.11268v1
• [eess.IV]Automatically Searching for U-Net Image Translator Architecture
Han Shu, Yunhe Wang
http://arxiv.org/abs/2002.11581v1
• [eess.IV]CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
http://arxiv.org/abs/2002.11379v1
• [eess.IV]Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”
Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong Ping Zheng, Nassir Navab
http://arxiv.org/abs/2002.11404v1
• [eess.IV]Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
Fateme Mostafaie, Reihaneh Teimouri, Zahra Nabizadeh, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/2002.11509v1
• [eess.IV]Unpaired Image Super-Resolution using Pseudo-Supervision
Shunta Maeda
http://arxiv.org/abs/2002.11397v1
• [eess.SP]Adaptive Multi-Receiver Coded Slotted ALOHA for Indoor Optical Wireless Communications
Dejan Vukobratovic, Francisco J. Escribano
http://arxiv.org/abs/2002.10569v1
• [eess.SP]Analytical Equations based Prediction Approach for PM2.5 using Artificial Neural Network
Jalpa Shah, Biswajit Mishra
http://arxiv.org/abs/2002.11416v1
• [eess.SP]Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels
Mohammed Usman
http://arxiv.org/abs/2002.11249v1
• [eess.SP]Learning Product Graphs Underlying Smooth Graph Signals
Muhammad Asad Lodhi, Waheed U. Bajwa
http://arxiv.org/abs/2002.11277v1
• [eess.SP]Multi-frequency calibration for DOA estimation with distributed sensors
Martin Brossard, Virginie Ollier, Mohammed Nabil El Korso, Rémy Boyer, Pascal Larzabal
http://arxiv.org/abs/2002.11498v1
• [eess.SY]Calculations of System Adequacy Considering Heat Transition Pathways
Matthew Deakin, Sarah Sheehy, David M. Greenwood, Sara Walker, Phil C. Taylor
http://arxiv.org/abs/2002.11570v1
• [math.DS]Assignment Flows for Data Labeling on Graphs: Convergence and Stability
Artjom Zern, Alexander Zeilmann, Christoph Schnörr
http://arxiv.org/abs/2002.11571v1
• [math.NA]Numerical Solution of Inverse Problems by Weak Adversarial Networks
Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
http://arxiv.org/abs/2002.11340v1
• [math.OC]Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization
Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik
http://arxiv.org/abs/2002.11364v1
• [math.OC]Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari
http://arxiv.org/abs/2002.11534v1
• [math.OC]Efficient algorithms for multivariate shape-constrained convex regression problems
Meixia Lin, Defeng Sun, Kim-Chuan Toh
http://arxiv.org/abs/2002.11410v1
• [math.OC]Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
http://arxiv.org/abs/2002.11582v1
• [math.PR]A CLT in Stein’s distance for generalized Wishart matrices and higher order tensors
Dan Mikulincer
http://arxiv.org/abs/2002.10846v1
• [math.ST]A Balancing Weight Framework for Estimating the Causal Effect of General Treatments
Guillaume Martinet
http://arxiv.org/abs/2002.11276v1
• [math.ST]A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves
Alejandro Ribes, Joachim Pouderoux, Bertrand Iooss
http://arxiv.org/abs/2002.11475v1
• [math.ST]A short note on learning discrete distributions
Clément L. Canonne
http://arxiv.org/abs/2002.11457v1
• [math.ST]Aggregated hold out for sparse linear regression with a robust loss function
Guillaume Maillard
http://arxiv.org/abs/2002.11553v1
• [math.ST]An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han, Rebecca Willett, Anru Zhang
http://arxiv.org/abs/2002.11255v1
• [math.ST]Extremes of Censored and Uncensored Lifetimes in Survival Data
Ross A. Maller, Sidney I. Resnick
http://arxiv.org/abs/2002.11239v1
• [math.ST]Scientific versus statistical modelling: a unifying approach
Tae Yoon Lee, James V. Zidek
http://arxiv.org/abs/2002.11259v1
• [physics.ao-ph]Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning
Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh
http://arxiv.org/abs/2002.11167v1
• [physics.comp-ph]Machine Learning based prediction of noncentrosymmetric crystal materials
Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Loius, Jie Ling, Ming Hu, Jianjun Hu
http://arxiv.org/abs/2002.11295v1
• [physics.soc-ph]Lying on networks: The role of structure and topology in promoting honesty
Valerio Capraro, Matjaz Perc, Daniele Vilone
http://arxiv.org/abs/2002.11034v1
• [q-bio.NC]A Quantized Representation of Intertemporal Choice in the Brain
James Tee, Desmond P. Taylor
http://arxiv.org/abs/2002.10882v1
• [q-bio.PE]The Moran Genealogy Process
Aaron A. King, Qianying Lin, Edward L. Ionides
http://arxiv.org/abs/2002.11184v1
• [q-fin.CP]Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale
Nicolas Essis-Breton, Patrice Gaillardetz
http://arxiv.org/abs/2002.11258v1
• [stat.AP]Correspondence Analysis between the Location and the Leading Causes of Death in the United States
Rena Sandy H. Baculinao, Roel F. Ceballos
http://arxiv.org/abs/2002.11243v1
• [stat.AP]Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
http://arxiv.org/abs/2002.11228v1
• [stat.CO]Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
Sébastien Petit, Julien Bect, Sébastien da Veiga, Paul Feliot, Emmanuel Vazquez
http://arxiv.org/abs/2002.11543v1
• [stat.ME]Classical and Bayesian Analyses of a Mixture of Exponential and Lomax Distributions
Maqsood Ali, Abdul Haq, Muhammad Aslam
http://arxiv.org/abs/2002.11204v1
• [stat.ME]Paired Comparisons Modeling using t-Distribution with Bayesian Analysis
Maqsood Ali, Muhammad Aslam
http://arxiv.org/abs/2002.11236v1
• [stat.ML]A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing
B. Ahmmed, M. K. Mudunuru, S. Karra, S. C. James, V. V. Vesselinov
http://arxiv.org/abs/2002.11511v1
• [stat.ML]A general framework for ensemble distribution distillation
Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson
http://arxiv.org/abs/2002.11531v1
• [stat.ML]Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
Alex Luedtke, Incheoul Chung, Oleg Sofrygin
http://arxiv.org/abs/2002.11275v1
• [stat.ML]Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
Théo Galy-Fajou, Florian Wenzel, Manfred Opper
http://arxiv.org/abs/2002.11451v1
• [stat.ML]Bayesian Nonparametric Space Partitions: A Survey
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
http://arxiv.org/abs/2002.11394v1
• [stat.ML]Device Heterogeneity in Federated Learning: A Superquantile Approach
Yassine Laguel, Krishna Pillutla, Jérôme Malick, Zaid Harchaoui
http://arxiv.org/abs/2002.11223v1
• [stat.ML]Fundamental Issues Regarding Uncertainties in Artificial Neural Networks
Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh
http://arxiv.org/abs/2002.11152v1
• [stat.ML]ICE-BeeM: Identifiable Conditional Energy-Based Deep Models
Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen
http://arxiv.org/abs/2002.11537v1
• [stat.ML]Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
http://arxiv.org/abs/2002.11256v1
• [stat.ML]Information Directed Sampling for Linear Partial Monitoring
Johannes Kirschner, Tor Lattimore, Andreas Krause
http://arxiv.org/abs/2002.11182v1
• [stat.ML]Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masahiro Kato, Masatoshi Uehara, Shota Yasui
http://arxiv.org/abs/2002.11642v1
• [stat.ML]Predicting Neural Network Accuracy from Weights
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya Tolstikhin
http://arxiv.org/abs/2002.11448v1
• [stat.ML]Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
Yi Hao, Alon Orlitsky
http://arxiv.org/abs/2002.11665v1
• [stat.ML]Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy
Aditya Saligrama, Guillaume Leclerc
http://arxiv.org/abs/2002.11572v1
• [stat.ML]Smoothing Graphons for Modelling Exchangeable Relational Data
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
http://arxiv.org/abs/2002.11159v1
• [stat.ML]Stagewise Enlargement of Batch Size for SGD-based Learning
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li
http://arxiv.org/abs/2002.11601v1
• [stat.ML]The role of regularization in classification of high-dimensional noisy Gaussian mixture
Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
http://arxiv.org/abs/2002.11544v1
• [stat.OT]Liquid Scorecards
Bruce Hoadley