astro-ph.CO - 宇宙学和天体物理学
astro-ph.GA - 星系天体物理学 astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 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.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 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.CO]A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs
• [astro-ph.GA]Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach
• [astro-ph.SR]Characterizing the spatial pattern of solar supergranulation using the bispectrum
• [astro-ph.SR]MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities
• [cs.AI]A Structured Approach to Trustworthy Autonomous/Cognitive Systems
• [cs.AI]Implementing Dynamic Answer Set Programming
• [cs.AI]Interpreting Interpretations: Organizing Attribution Methods by Criteria
• [cs.AI]Knowledge Reconciliation of $n$-ary Relations
• [cs.AI]TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
• [cs.AI]Taxonomy of bio-inspired algorithms
• [cs.CE]Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot’s equations
• [cs.CG]Globally optimal point set registration by joint symmetry plane fitting
• [cs.CL]CodeBERT: A Pre-Trained Model for Programming and Natural Languages
• [cs.CL]Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
• [cs.CL]Hierarchical models vs. transfer learning for document-level sentiment classification
• [cs.CL]LAMBERT: Layout-Aware language Modeling using BERT for information extraction
• [cs.CL]Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation
• [cs.CL]Non-Autoregressive Dialog State Tracking
• [cs.CL]Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
• [cs.CL]Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents
• [cs.CL]The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
• [cs.CL]Toward Making the Most of Context in Neural Machine Translation
• [cs.CL]Transfer Learning for Abstractive Summarization at Controllable Budgets
• [cs.CR]Expected Linear Round Synchronization: The Missing Link for Linear Byzantine SMR
• [cs.CR]Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
• [cs.CR]Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
• [cs.CR]NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs
• [cs.CR]Toward Low-Cost and Stable Blockchain Networks
• [cs.CV]DeFraudNet:End2End Fingerprint Spoof Detection using Patch Level Attention
• [cs.CV]Extracting Semantic Indoor Maps from Occupancy Grids
• [cs.CV]Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms
• [cs.CV]Lake Ice Monitoring with Webcams and Crowd-Sourced Images
• [cs.CV]Meta Segmentation Network for Ultra-Resolution Medical Images
• [cs.CV]Model-Agnostic Structured Sparsification with Learnable Channel Shuffle
• [cs.CV]On-line non-overlapping camera calibration net
• [cs.CV]SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection
• [cs.CV]Three-Stream Fusion Network for First-Person Interaction Recognition
• [cs.CV]Towards Bounding-Box Free Panoptic Segmentation
• [cs.CV]Universal Domain Adaptation through Self Supervision
• [cs.CV]Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
• [cs.CV]Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
• [cs.CV]VQA-LOL: Visual Question Answering under the Lens of Logic
• [cs.CV]Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping — Challenges and Opportunities
• [cs.CV]Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
• [cs.CV]When Radiology Report Generation Meets Knowledge Graph
• [cs.CV]siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
• [cs.CY]A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
• [cs.DB]Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs
• [cs.DC]Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration
• [cs.DC]Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs
• [cs.DC]Honing and proofing Astrophysical codes on the road to Exascale. Experiences from code modernization on many-core systems
• [cs.DC]MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
• [cs.DC]STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
• [cs.DC]Supporting OpenMP 5.0 Tasks in hpxMP — A study of an OpenMP implementation within Task Based Runtime Systems
• [cs.DC]The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems
• [cs.DC]Truly Tight-in-$Δ$ Bounds for Bipartite Maximal Matching and Variants
• [cs.DM]BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation
• [cs.DS]Parallel Algorithms for Small Subgraph Counting
• [cs.GT]Simultaneous games with purchase of randomly supplied perfect information: Oracle Games
• [cs.IR]Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
• [cs.IT]Capacity-achieving Spatially Coupled Sparse Superposition Codes with AMP Decoding
• [cs.IT]Computer classification of linear codes
• [cs.IT]DLITE: The Discounted Least Information Theory of Entropy
• [cs.IT]Dynamic Coded Caching in Wireless Networks
• [cs.IT]Majority Logic Decoding for Certain Schubert Codes Using Lines in Schubert Varieties
• [cs.IT]Massive MIMO Transmission for LEO Satellite Communications
• [cs.IT]On the Trackability of Stochastic Processes
• [cs.IT]Repair rate lower bounds for distributed storage
• [cs.IT]The Capacity and Optimal Signaling for Gaussian MIMO Channels Under Interference Constraints (full version)
• [cs.IT]Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
• [cs.LG]A Fixed point view: A Model-Based Clustering Framework
• [cs.LG]A Lagrangian Approach to Information Propagation in Graph Neural Networks
• [cs.LG]Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense
• [cs.LG]Being Bayesian about Categorical Probability
• [cs.LG]Best-item Learning in Random Utility Models with Subset Choices
• [cs.LG]Best-item Learning in Random Utility Models with Subset Choices
• [cs.LG]Block Switching: A Stochastic Approach for Deep Learning Security
• [cs.LG]CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
• [cs.LG]Curriculum in Gradient-Based Meta-Reinforcement Learning
• [cs.LG]Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
• [cs.LG]Dissecting Neural ODEs
• [cs.LG]Efficient Deep Reinforcement Learning through Policy Transfer
• [cs.LG]Empirical Policy Evaluation with Supergraphs
• [cs.LG]Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
• [cs.LG]Event sequence metric learning
• [cs.LG]Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
• [cs.LG]Generating Automatic Curricula via Self-Supervised Active Domain Randomization
• [cs.LG]Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
• [cs.LG]Gradient Boosting Neural Networks: GrowNet
• [cs.LG]Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models
• [cs.LG]Hierarchical Quantized Autoencoders
• [cs.LG]Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
• [cs.LG]Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
• [cs.LG]Inductive Representation Learning on Temporal Graphs
• [cs.LG]Information Condensing Active Learning
• [cs.LG]Is Local SGD Better than Minibatch SGD?
• [cs.LG]Knapsack Pruning with Inner Distillation
• [cs.LG]Learning Bijective Feature Maps for Linear ICA
• [cs.LG]Learning Global Transparent Models from Local Contrastive Explanations
• [cs.LG]Learning Similarity Metrics for Numerical Simulations
• [cs.LG]Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
• [cs.LG]Molecule Attention Transformer
• [cs.LG]Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms
• [cs.LG]Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback
• [cs.LG]Neural Architecture Search For Fault Diagnosis
• [cs.LG]Neural Networks on Random Graphs
• [cs.LG]NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks
• [cs.LG]On Adaptive Attacks to Adversarial Example Defenses
• [cs.LG]Optimistic Policy Optimization with Bandit Feedback
• [cs.LG]Outcome Correlation in Graph Neural Network Regression
• [cs.LG]Personalized Federated Learning: A Meta-Learning Approach
• [cs.LG]Progressive Identification of True Labels for Partial-Label Learning
• [cs.LG]Randomized Smoothing of All Shapes and Sizes
• [cs.LG]SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
• [cs.LG]Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances
• [cs.LG]Short-Term Traffic Flow Prediction Using Variational LSTM Networks
• [cs.LG]Source Separation with Deep Generative Priors
• [cs.LG]The Geometry of Sign Gradient Descent
• [cs.LG]Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
• [cs.LG]Tree-structured Attention with Hierarchical Accumulation
• [cs.LG]Using Hindsight to Anchor Past Knowledge in Continual Learning
• [cs.LG]Value-driven Hindsight Modelling
• [cs.LG]Variational Encoder-based Reliable Classification
• [cs.NE]Optimal DG allocation and sizing in power system networks using swarm-based algorithms
• [cs.NI]Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning
• [cs.PL]A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation
• [cs.RO]Act, Perceive, and Plan in Belief Space for Robot Localization
• [cs.RO]An improved nonlinear FastEuler AHRS estimation based on the SVDCKF algorithm
• [cs.RO]Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots
• [cs.RO]Incremental Nonlinear Fault-Tolerant Control of a Quadrotor with Complete Loss of Two Opposing Rotors
• [cs.RO]Informative Path Planning for Mobile Sensing with Reinforcement Learning
• [cs.RO]Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
• [cs.RO]Omnidirectional Three Module Robot Design and Simulation
• [cs.RO]Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes
• [cs.RO]Task-space Synergies for Reaching using Upper-limb Prostheses
• [cs.RO]Trust Repairing for Human-Swarm Cooperation inDynamic Task Response
• [cs.SI]Higher-Order Label Homogeneity and Spreading in Graphs
• [cs.SI]ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks
• [econ.EM]The Cointegrated VAR without Unit Roots: Representation Theory and Asymptotics
• [econ.GN]The interconnectedness of the economic content in the speeches of the US Presidents
• [eess.AS]Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
• [eess.IV]Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
• [eess.IV]LocoGAN — Locally Convolutional GAN
• [eess.IV]Multi-wavelet residual dense convolutional neural network for image denoising
• [eess.IV]Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images
• [eess.IV]Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding
• [eess.SP]Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control
• [math.CO]Common Information, Matroid Representation, and Secret Sharing for Matroid Ports
• [math.NA]A strong law of large numbers for scrambled net integration
• [math.OC]A Unified Convergence Analysis for Shuffling-Type Gradient Methods
• [math.PR]On bounded mild solution for a class of semilinear stochastic partial differential equation driven by Levy and stable processes
• [math.ST]Bridging data science and dynamical systems theory
• [physics.soc-ph]Differentiating Population Spatial Behavior using Representative Features of Geospatial Mobility (ReFGeM)
• [q-bio.QM]A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data
• [q-bio.QM]Absence of a resolution limit in in-block nestedness
• [quant-ph]Quantum statistical query learning
• [stat.AP]A censored mixture model for modeling risk taking
• [stat.AP]Linear Regression Models in Epidemiology
• [stat.AP]Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach
• [stat.AP]Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach
• [stat.ME]Identifying Invariant Factors Across Multiple Environments with KL Regression
• [stat.ME]Integrated organic inference (IOI): A reconciliation of statistical paradigms
• [stat.ME]Semi-parametric resampling with extremes
• [stat.ME]The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments
• [stat.ME]Transporting Experimental Results with Entropy Balancing
• [stat.ML]Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
• [stat.ML]Communication-Efficient Distributed SVD via Local Power Iterations
• [stat.ML]Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
• [stat.ML]Distance-Based Regularisation of Deep Networks for Fine-Tuning
• [stat.ML]Learning Bounds for Moment-Based Domain Adaptation
• [stat.ML]Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking
• [stat.ML]Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport
• [stat.ML]Observational nonidentifiability, generalized likelihood and free energy
• [stat.ML]Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning
·····································
• [astro-ph.CO]A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs
Florian List, Geraint F. Lewis
http://arxiv.org/abs/2002.07940v1
• [astro-ph.GA]Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach
G. Aufort, L. Ciesla, P. Pudlo, V. Buat
http://arxiv.org/abs/2002.07815v1
• [astro-ph.SR]Characterizing the spatial pattern of solar supergranulation using the bispectrum
Vincent G. A. Böning, Aaron C. Birch, Laurent Gizon, Thomas L. Duvall Jr., Jesper Schou
http://arxiv.org/abs/2002.08262v1
• [astro-ph.SR]MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities
Paolo Massa, Richard Schwartz, A Kim Tolbert, Anna Maria Massone, Brian R Dennis, Michele Piana, Federico Benvenuto
http://arxiv.org/abs/2002.07921v1
• [cs.AI]A Structured Approach to Trustworthy Autonomous/Cognitive Systems
Henrik J. Putzer, Ernest Wozniak
http://arxiv.org/abs/2002.08210v1
• [cs.AI]Implementing Dynamic Answer Set Programming
Pedro Cabalar, Martín Diéguez, Torsten Schaub, François Laferrière
http://arxiv.org/abs/2002.06916v2
• [cs.AI]Interpreting Interpretations: Organizing Attribution Methods by Criteria
Zifan Wang, PiotrPiotr Mardziel, Anupam Datta, Matt Fredrikson
http://arxiv.org/abs/2002.07985v1
• [cs.AI]Knowledge Reconciliation of $n$-ary Relations
Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet
http://arxiv.org/abs/2002.08103v1
• [cs.AI]TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Nima Noorshams, Saurabh Verma, Aude Hofleitner
http://arxiv.org/abs/2002.07917v1
• [cs.AI]Taxonomy of bio-inspired algorithms
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
http://arxiv.org/abs/2002.08136v1
• [cs.CE]Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot’s equations
Teeratorn Kadeethum, Thomas M Jorgensen, Hamidreza M Nick
http://arxiv.org/abs/2002.08235v1
• [cs.CG]Globally optimal point set registration by joint symmetry plane fitting
Lan Hu, Haomin Shi, Laurent Kneip
http://arxiv.org/abs/2002.07988v1
• [cs.CL]CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
http://arxiv.org/abs/2002.08155v1
• [cs.CL]Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
http://arxiv.org/abs/2002.08307v1
• [cs.CL]Hierarchical models vs. transfer learning for document-level sentiment classification
Jeremy Barnes, Vinit Ravishankar, Lilja Øvrelid, Erik Velldal
http://arxiv.org/abs/2002.08131v1
• [cs.CL]LAMBERT: Layout-Aware language Modeling using BERT for information extraction
Łukasz Garncarek, Rafał Powalski, Tomasz Stanisławek, Bartosz Topolski, Piotr Halama, Filip Graliński
http://arxiv.org/abs/2002.08087v1
• [cs.CL]Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation
Aman Shenoy, Ashish Sardana
http://arxiv.org/abs/2002.08267v1
• [cs.CL]Non-Autoregressive Dialog State Tracking
Hung Le, Richard Socher, Steven C. H. Hoi
http://arxiv.org/abs/2002.08024v1
• [cs.CL]Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Jianhua Tao, Ye Bai
http://arxiv.org/abs/2002.08126v1
• [cs.CL]Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents
Sashank Santhanam, Alireza Karduni, Samira Shaikh
http://arxiv.org/abs/2002.07927v1
• [cs.CL]The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
http://arxiv.org/abs/2002.07972v1
• [cs.CL]Toward Making the Most of Context in Neural Machine Translation
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch
http://arxiv.org/abs/2002.07982v1
• [cs.CL]Transfer Learning for Abstractive Summarization at Controllable Budgets
Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
http://arxiv.org/abs/2002.07845v1
• [cs.CR]Expected Linear Round Synchronization: The Missing Link for Linear Byzantine SMR
Oded Naor, Idit Keidar
http://arxiv.org/abs/2002.07539v2
• [cs.CR]Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, Ben Y. Zhao
http://arxiv.org/abs/2002.08327v1
• [cs.CR]Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Minghong Fang, Neil Zhenqiang Gong, Jia Liu
http://arxiv.org/abs/2002.08025v1
• [cs.CR]NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
http://arxiv.org/abs/2002.08313v1
• [cs.CR]Toward Low-Cost and Stable Blockchain Networks
Minghong Fang, Jia Liu
http://arxiv.org/abs/2002.08027v1
• [cs.CV]DeFraudNet:End2End Fingerprint Spoof Detection using Patch Level Attention
B. V. S Anusha, Sayan Banerjee, Subhasis Chaudhuri
http://arxiv.org/abs/2002.08214v1
• [cs.CV]Extracting Semantic Indoor Maps from Occupancy Grids
Ziyuan Liu, Georg von Wichert
http://arxiv.org/abs/2002.08348v1
• [cs.CV]Feasibility of Video-based Sub-meter Localization on Resource-constrained Platforms
Abm Musa, Jakob Eriksson
http://arxiv.org/abs/2002.08039v1
• [cs.CV]Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixe, Konrad Schindler
http://arxiv.org/abs/2002.07875v1
• [cs.CV]Meta Segmentation Network for Ultra-Resolution Medical Images
Tong Wu, Yuan Xie, Yanyun Qu, Bicheng Dai, Shuxin Chen
http://arxiv.org/abs/2002.08043v1
• [cs.CV]Model-Agnostic Structured Sparsification with Learnable Channel Shuffle
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
http://arxiv.org/abs/2002.08127v1
• [cs.CV]On-line non-overlapping camera calibration net
Zhao Fangda, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda
http://arxiv.org/abs/2002.08005v1
• [cs.CV]SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection
Alexandru Şerban, George Ilaş, George-Cosmin Poruşniuc
http://arxiv.org/abs/2002.06735v2
• [cs.CV]Three-Stream Fusion Network for First-Person Interaction Recognition
Ye-Ji Kim, Dong-Gyu Lee, Seong-Whan Lee
http://arxiv.org/abs/2002.08219v1
• [cs.CV]Towards Bounding-Box Free Panoptic Segmentation
Ujwal Bonde, Pablo F. Alcantarilla, Stefan Leutenegger
http://arxiv.org/abs/2002.07705v2
• [cs.CV]Universal Domain Adaptation through Self Supervision
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
http://arxiv.org/abs/2002.07953v1
• [cs.CV]Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li
http://arxiv.org/abs/2002.07417v1
• [cs.CV]Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki
http://arxiv.org/abs/2002.08097v1
• [cs.CV]VQA-LOL: Visual Question Answering under the Lens of Logic
Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
http://arxiv.org/abs/2002.08325v1
• [cs.CV]Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping — Challenges and Opportunities
Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu
http://arxiv.org/abs/2002.08254v1
• [cs.CV]Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang
http://arxiv.org/abs/2002.08098v1
• [cs.CV]When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
http://arxiv.org/abs/2002.08277v1
• [cs.CV]siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortes, Jorge Beltran, Arturo de la Escalera, Fernando Garcia
http://arxiv.org/abs/2002.08239v1
• [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/2002.08035v1
• [cs.DB]Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
http://arxiv.org/abs/2002.08082v1
• [cs.DC]Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
http://arxiv.org/abs/2002.08326v1
• [cs.DC]Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs
Marco D’Amico, Ana Jokanovic, Julita Corbalan
http://arxiv.org/abs/2002.08088v1
• [cs.DC]Honing and proofing Astrophysical codes on the road to Exascale. Experiences from code modernization on many-core systems
Salvatore Cielo, Luigi Iapichino, Fabio Baruffa, Matteo Bugli, Christoph Federrath
http://arxiv.org/abs/2002.08161v1
• [cs.DC]MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/2002.08295v1
• [cs.DC]STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
Ali HeydariGorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Alves, Pai H. Chou
http://arxiv.org/abs/2002.07215v2
• [cs.DC]Supporting OpenMP 5.0 Tasks in hpxMP — A study of an OpenMP implementation within Task Based Runtime Systems
Tianyi Zhang, Shahrzad Shirzad, Bibek Wagle, Adrian S. Lemoine, Patrick Diehl, Hartmut Kaiser
http://arxiv.org/abs/2002.07970v1
• [cs.DC]The Sum of Its Parts: Analysis of Federated Byzantine Agreement Systems
Martin Florian, Sebastian Henningsen, Björn Scheuermann
http://arxiv.org/abs/2002.08101v1
• [cs.DC]Truly Tight-in-$Δ$ Bounds for Bipartite Maximal Matching and Variants
Sebastian Brandt, Dennis Olivetti
http://arxiv.org/abs/2002.08216v1
• [cs.DM]BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation
Subhra Mazumdar, Arindam Pal, Francesco Parisi, V. S. Subrahmanian
http://arxiv.org/abs/2002.08114v1
• [cs.DS]Parallel Algorithms for Small Subgraph Counting
Amartya Shankha Biswas, Talya Eden, Quanquan C. Liu, Slobodan Mitrović, Ronitt Rubinfeld
http://arxiv.org/abs/2002.08299v1
• [cs.GT]Simultaneous games with purchase of randomly supplied perfect information: Oracle Games
Matthew J. Young, Andrew Belmonte
http://arxiv.org/abs/2002.08309v1
• [cs.IR]Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
http://arxiv.org/abs/2002.07993v1
• [cs.IT]Capacity-achieving Spatially Coupled Sparse Superposition Codes with AMP Decoding
Cynthia Rush, Kuan Hsieh, Ramji Venkataramanan
http://arxiv.org/abs/2002.07844v1
• [cs.IT]Computer classification of linear codes
Iliya Bouyukliev, Stefka Bouyuklieva, Sascha Kurz
http://arxiv.org/abs/2002.07826v1
• [cs.IT]DLITE: The Discounted Least Information Theory of Entropy
Weimao Ke
http://arxiv.org/abs/2002.07888v1
• [cs.IT]Dynamic Coded Caching in Wireless Networks
Jesper Pedersen, Alexandre Graell i Amat, Jasper Goseling, Fredrik Brännström, Iryna Andriyanova, Eirik Rosnes
http://arxiv.org/abs/2002.08080v1
• [cs.IT]Majority Logic Decoding for Certain Schubert Codes Using Lines in Schubert Varieties
Prasant Singh
http://arxiv.org/abs/2002.08054v1
• [cs.IT]Massive MIMO Transmission for LEO Satellite Communications
Li You, Ke-Xin Li, Jiaheng Wang, Xiqi Gao, Xiang-Gen Xia, Björn Ottersten
http://arxiv.org/abs/2002.08148v1
• [cs.IT]On the Trackability of Stochastic Processes
Baran Tan Bacinoglu, Yin Sun, Elif Uysal
http://arxiv.org/abs/2002.08142v1
• [cs.IT]Repair rate lower bounds for distributed storage
Michael Luby
http://arxiv.org/abs/2002.07904v1
• [cs.IT]The Capacity and Optimal Signaling for Gaussian MIMO Channels Under Interference Constraints (full version)
Sergey Loyka
http://arxiv.org/abs/2002.07853v1
• [cs.IT]Urgency of Information for Context-Aware Timely Status Updates in Remote Control Systems
Xi Zheng, Sheng Zhou, Zhisheng Niu
http://arxiv.org/abs/2002.07987v1
• [cs.LG]A Fixed point view: A Model-Based Clustering Framework
Jianhao Ding, Lansheng Han
http://arxiv.org/abs/2002.08032v1
• [cs.LG]A Lagrangian Approach to Information Propagation in Graph Neural Networks
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
http://arxiv.org/abs/2002.07684v2
• [cs.LG]Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense
Guanlin Liu, Lifeng lai
http://arxiv.org/abs/2002.08000v1
• [cs.LG]Being Bayesian about Categorical Probability
Taejong Joo, Uijung Chung, Min-Gwan Seo
http://arxiv.org/abs/2002.07965v1
• [cs.LG]Best-item Learning in Random Utility Models with Subset Choices
Aadirupa Saha, Aditya Gopalan
http://arxiv.org/abs/2002.07994v1
• [cs.LG]Best-item Learning in Random Utility Models with Subset Choices
Aadirupa Saha, Aditya Gopalan
http://arxiv.org/abs/org/abs/2002.07994v1
• [cs.LG]Block Switching: A Stochastic Approach for Deep Learning Security
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
http://arxiv.org/abs/2002.07920v1
• [cs.LG]CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang, Thomas Kobber Panum, Somesh Jha, Prasad Chalasani, David Page
http://arxiv.org/abs/2002.07906v1
• [cs.LG]Curriculum in Gradient-Based Meta-Reinforcement Learning
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Chris J. Pal, Liam Paull
http://arxiv.org/abs/2002.07956v1
• [cs.LG]Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
http://arxiv.org/abs/2002.07898v1
• [cs.LG]Dissecting Neural ODEs
Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
http://arxiv.org/abs/2002.08071v1
• [cs.LG]Efficient Deep Reinforcement Learning through Policy Transfer
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Cheng, Changjie Fan, Zhaodong Wang, Jiajie Peng
http://arxiv.org/abs/2002.08037v1
• [cs.LG]Empirical Policy Evaluation with Supergraphs
Daniel Vial, Vijay Subramanian
http://arxiv.org/abs/2002.07905v1
• [cs.LG]Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi
http://arxiv.org/abs/2002.08041v1
• [cs.LG]Event sequence metric learning
Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin
http://arxiv.org/abs/2002.08232v1
• [cs.LG]Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis
http://arxiv.org/abs/2002.08196v1
• [cs.LG]Generating Automatic Curricula via Self-Supervised Active Domain Randomization
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull
http://arxiv.org/abs/2002.07911v1
• [cs.LG]Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh Nguyen, Marco Mondelli
http://arxiv.org/abs/2002.07867v1
• [cs.LG]Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi
http://arxiv.org/abs/2002.07971v1
• [cs.LG]Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models
Andreas Krug, Sebastian Stober
http://arxiv.org/abs/2002.08125v1
• [cs.LG]Hierarchical Quantized Autoencoders
Will Williams, Sam Ringer, Tom Ash, John Hughes, David MacLeod, Jamie Dougherty
http://arxiv.org/abs/2002.08111v1
• [cs.LG]Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2002.07933v1
• [cs.LG]Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
http://arxiv.org/abs/2002.08012v1
• [cs.LG]Inductive Representation Learning on Temporal Graphs
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
http://arxiv.org/abs/2002.07962v1
• [cs.LG]Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
http://arxiv.org/abs/2002.07916v1
• [cs.LG]Is Local SGD Better than Minibatch SGD?
Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro
http://arxiv.org/abs/2002.07839v1
• [cs.LG]Knapsack Pruning with Inner Distillation
Yonathan Aflalo, Asaf Noy, Ming Lin, Itamar Friedman, Lihi Zelnik
http://arxiv.org/abs/2002.08258v1
• [cs.LG]Learning Bijective Feature Maps for Linear ICA
Alexander Camuto, Matthew Willetts, Brooks Paige, Chris Holmes, Stephen Roberts
http://arxiv.org/abs/2002.07766v2
• [cs.LG]Learning Global Transparent Models from Local Contrastive Explanations
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar
http://arxiv.org/abs/2002.08247v1
• [cs.LG]Learning Similarity Metrics for Numerical Simulations
Georg Kohl, Kiwon Um, Nils Thuerey
http://arxiv.org/abs/2002.07863v1
• [cs.LG]Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel, Alon Cohen, Tomer Koren
http://arxiv.org/abs/2002.08095v1
• [cs.LG]Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanisław Jastrzębski
http://arxiv.org/abs/2002.08264v1
• [cs.LG]Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms
Kaiyi Ji, Junjie Yang, Yingbin Liang
http://arxiv.org/abs/2002.07836v1
• [cs.LG]Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback
Haw-minn Lu, Giancarlo Perrone, José Unpingco
http://arxiv.org/abs/2002.08338v1
• [cs.LG]Neural Architecture Search For Fault Diagnosis
Xudong Li, Yang Hu, Jianhua Zheng, Mingtao Li
http://arxiv.org/abs/2002.07997v1
• [cs.LG]Neural Networks on Random Graphs
Romuald A. Janik, Aleksandra Nowak
http://arxiv.org/abs/2002.08104v1
• [cs.LG]NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks
Mihailo Isakov, Michel A. Kinsy
http://arxiv.org/abs/2002.08339v1
• [cs.LG]On Adaptive Attacks to Adversarial Example Defenses
Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry
http://arxiv.org/abs/2002.08347v1
• [cs.LG]Optimistic Policy Optimization with Bandit Feedback
Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor
http://arxiv.org/abs/2002.08243v1
• [cs.LG]Outcome Correlation in Graph Neural Network Regression
Junteng Jia, Austin Benson
http://arxiv.org/abs/2002.08274v1
• [cs.LG]Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
http://arxiv.org/abs/2002.07948v1
• [cs.LG]Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama
http://arxiv.org/abs/2002.08053v1
• [cs.LG]Randomized Smoothing of All Shapes and Sizes
Greg Yang, Tony Duan, Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li
http://arxiv.org/abs/2002.08118v1
• [cs.LG]SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
Lukas Enderich, Fabian Timm, Wolfram Burgard
http://arxiv.org/abs/2002.08204v1
• [cs.LG]Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances
Gaëtan Hadjeres, Frank Nielsen
http://arxiv.org/abs/2002.08345v1
• [cs.LG]Short-Term Traffic Flow Prediction Using Variational LSTM Networks
Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri, Okyay Kaynak
http://arxiv.org/abs/2002.07922v1
• [cs.LG]Source Separation with Deep Generative Priors
Vivek Jayaram, John Thickstun
http://arxiv.org/abs/2002.07942v1
• [cs.LG]The Geometry of Sign Gradient Descent
Lukas Balles, Fabian Pedregosa, Nicolas Le Roux
http://arxiv.org/abs/2002.08056v1
• [cs.LG]Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
http://arxiv.org/abs/2002.07891v1
• [cs.LG]Tree-structured Attention with Hierarchical Accumulation
Xuan-Phi Nguyen, Shafiq Joty, Steven C. H. Hoi, Richard Socher
http://arxiv.org/abs/2002.08046v1
• [cs.LG]Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip Torr, David Lopez-Paz
http://arxiv.org/abs/2002.08165v1
• [cs.LG]Value-driven Hindsight Modelling
Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess
http://arxiv.org/abs/2002.08329v1
• [cs.LG]Variational Encoder-based Reliable Classification
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
http://arxiv.org/abs/2002.08289v1
• [cs.NE]Optimal DG allocation and sizing in power system networks using swarm-based algorithms
Kayode Adetunji, Ivan Hofsajer, Ling Cheng
http://arxiv.org/abs/2002.08089v1
• [cs.NI]Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning
Zoubeir Mlika, Soumaya Cherkaoui
http://arxiv.org/abs/2002.07957v1
• [cs.PL]A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation
Carol Mak, Luke Ong
http://arxiv.org/abs/2002.08241v1
• [cs.RO]Act, Perceive, and Plan in Belief Space for Robot Localization
Michele Colledanchise, Damiano Malafronte, Lorenzo Natale
http://arxiv.org/abs/2002.08124v1
• [cs.RO]An improved nonlinear FastEuler AHRS estimation based on the SVDCKF algorithm
Yue Yang
http://arxiv.org/abs/2002.08317v1
• [cs.RO]Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots
Neelesh Kumar, Konstantinos P. Michmizos
http://arxiv.org/abs/2002.08354v1
• [cs.RO]Incremental Nonlinear Fault-Tolerant Control of a Quadrotor with Complete Loss of Two Opposing Rotors
Sihao Sun, Xuerui Wang, Qiping Chu, Coen de Visser
http://arxiv.org/abs/2002.07837v1
• [cs.RO]Informative Path Planning for Mobile Sensing with Reinforcement Learning
Yongyong Wei, Rong Zheng
http://arxiv.org/abs/2002.07890v1
• [cs.RO]Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
Neelesh Kumar, Konstantinos P. Michmizos
http://arxiv.org/abs/2002.07541v2
• [cs.RO]Omnidirectional Three Module Robot Design and Simulation
Kartik Suryavanshi, Rama Vadapalli, Praharsha Budharaja, Abhishek Sarkar, Madhava Krishna
http://arxiv.org/abs/2002.08288v1
• [cs.RO]Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes
Mouhyemen Khan, Abhijit Chatterjee
http://arxiv.org/abs/2002.07870v1
• [cs.RO]Task-space Synergies for Reaching using Upper-limb Prostheses
Ricardo Garcia-Rosas, Denny Oetomo, Chris Manzie, Ying Tan, Peter Choong
http://arxiv.org/abs/2002.08018v1
• [cs.RO]Trust Repairing for Human-Swarm Cooperation inDynamic Task Response
Yijiang Pang, Rui Liu
http://arxiv.org/abs/2002.07900v1
• [cs.SI]Higher-Order Label Homogeneity and Spreading in Graphs
Dhivya Eswaran, Srijan Kumar, Christos Faloutsos
http://arxiv.org/abs/2002.07833v1
• [cs.SI]ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks
Sumit Purohit, Lawrence B. Holder, George Chin
http://arxiv.org/abs/2002.08312v1
• [econ.EM]The Cointegrated VAR without Unit Roots: Representation Theory and Asymptotics
James A. Duffy, Jerome R. Simons
http://arxiv.org/abs/2002.08092v1
• [econ.GN]The interconnectedness of the economic content in the speeches of the US Presidents
Matteo Cinellia Valerio Ficcadenti, Jessica Riccionib
http://arxiv.org/abs/2002.07880v1
• [eess.AS]Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
Fabio Frazao, Bruno Padovese, Oliver S. Kirsebom
http://arxiv.org/abs/2002.08249v1
• [eess.IV]Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz
http://arxiv.org/abs/2002.07913v1
• [eess.IV]LocoGAN — Locally Convolutional GAN
Łukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemysław Spurek
http://arxiv.org/abs/2002.07897v1
• [eess.IV]Multi-wavelet residual dense convolutional neural network for image denoising
Shuo-Fei Wang, Wen-Kai Yu, Ya-Xin Li
http://arxiv.org/abs/2002.08301v1
• [eess.IV]Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images
Luiz Antonio Buschetto Macarini, Aldo von Wangenheim, Felipe Perozzo Daltoé, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Marcelo Ricardo Stemmer
http://arxiv.org/abs/2002.08331v1
• [eess.IV]Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding
Yibo Yang, Robert Bamler, Stephan Mandt
http://arxiv.org/abs/2002.08158v1
• [eess.SP]Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control
Rusheng Zhang, Xinze Zhou, Ozan K. Tonguz
http://arxiv.org/abs/2002.08303v1
• [math.CO]Common Information, Matroid Representation, and Secret Sharing for Matroid Ports
Michael Bamiloshin, Aner Ben-Efraim, Oriol Farràs, Carles Padró
http://arxiv.org/abs/2002.08108v1
• [math.NA]A strong law of large numbers for scrambled net integration
Art B. Owen
http://arxiv.org/abs/2002.07859v1
• [math.OC]A Unified Convergence Analysis for Shuffling-Type Gradient Methods
Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan, Phuong Ha Nguyen, Marten van Dijk
http://arxiv.org/abs/2002.08246v1
• [math.PR]On bounded mild solution for a class of semilinear stochastic partial differential equation driven by Levy and stable processes
Solym M. Manou-Abi
http://arxiv.org/abs/2002.08100v1
• [math.ST]Bridging data science and dynamical systems theory
Tyrus Berry, Dimitrios Giannakis, John Harlim
http://arxiv.org/abs/2002.07928v1
• [physics.soc-ph]Differentiating Population Spatial Behavior using Representative Features of Geospatial Mobility (ReFGeM)
Rui Zhang, 4bf
Kevin G. Stanley, Daniel Fuller, Scott Bell
http://arxiv.org/abs/2002.08168v1
• [q-bio.QM]A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data
Emily T. Winn, Marilyn Vazquez, Prachi Loliencar, Kaisa Taipale, Xu Wang, Giseon Heo
http://arxiv.org/abs/2002.07873v1
• [q-bio.QM]Absence of a resolution limit in in-block nestedness
Manuel S. Mariani, María J. Palazzi, Albert Solé-Ribalta, Javier Borge-Holthoefer, Claudio J. Tessone
http://arxiv.org/abs/2002.08265v1
• [quant-ph]Quantum statistical query learning
Srinivasan Arunachalam, Alex B. Grilo, Henry Yuen
http://arxiv.org/abs/2002.08240v1
• [stat.AP]A censored mixture model for modeling risk taking
Nienke F. S. Dijkstra, Henning Tiemeier, Bernd C. Figner, Patrick J. F. Groenen
http://arxiv.org/abs/2002.08146v1
• [stat.AP]Linear Regression Models in Epidemiology
Anatoly N. Varaksin, Vladimir G. Panov
http://arxiv.org/abs/2002.08113v1
• [stat.AP]Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach
Shaolong Suna, Dan Bi, Ju-e Guo, Shouyang Wang
http://arxiv.org/abs/2002.08021v1
• [stat.AP]Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach
Shaolong Sun, Yanzhao Li, Shouyang Wang, Ju-e Guo
http://arxiv.org/abs/2002.07964v1
• [stat.ME]Identifying Invariant Factors Across Multiple Environments with KL Regression
Jaime Roquero Gimenez, James Zou
http://arxiv.org/abs/2002.08341v1
• [stat.ME]Integrated organic inference (IOI): A reconciliation of statistical paradigms
Russell J. Bowater
http://arxiv.org/abs/2002.07966v1
• [stat.ME]Semi-parametric resampling with extremes
Thomas Opitz, Denis Allard, Grégoire Mariéthoz
http://arxiv.org/abs/2002.08094v1
• [stat.ME]The Benefits of Probability-Proportional-to-Size Sampling in Cluster-Randomized Experiments
Yeng Xiong, Michael J. Higgins
http://arxiv.org/abs/2002.08009v1
• [stat.ME]Transporting Experimental Results with Entropy Balancing
Kevin P. Josey, Seth A. Berkowitz, Debashis Ghosh, Sridharan Raghavan
http://arxiv.org/abs/2002.07899v1
• [stat.ML]Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse, Michael U. Gutmann
http://arxiv.org/abs/2002.08129v1
• [stat.ML]Communication-Efficient Distributed SVD via Local Power Iterations
Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang
http://arxiv.org/abs/2002.08014v1
• [stat.ML]Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
Gene Ryan Yoo, Houman Owhadi
http://arxiv.org/abs/2002.08335v1
• [stat.ML]Distance-Based Regularisation of Deep Networks for Fine-Tuning
Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
http://arxiv.org/abs/2002.08253v1
• [stat.ML]Learning Bounds for Moment-Based Domain Adaptation
Werner Zellinger, Bernhard A Moser, Susanne Saminger-Platz
http://arxiv.org/abs/2002.08260v1
• [stat.ML]Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
http://arxiv.org/abs/2002.08159v1
• [stat.ML]Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
http://arxiv.org/abs/2002.08314v1
• [stat.ML]Observational nonidentifiability, generalized likelihood and free energy
A. E. Allahverdyan
http://arxiv.org/abs/2002.07884v1
• [stat.ML]Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
http://arxiv.org/abs/2002.08276v1
若有收获，就点个赞吧
0 人点赞
