astro-ph.CO - 宇宙学和天体物理学
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.GR - 计算机图形学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MM - 多媒体
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
math.CO - 组合数学
math.OC - 优化与控制
math.ST - 统计理论
physics.geo-ph - 地球物理学
physics.soc-ph - 物理学与社会
q-fin.PM - 投资组合管理
q-fin.TR - 贸易与市场微观结构
quant-ph - 量子物理
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
• [astro-ph.CO]Stress testing the dark energy equation of state imprint on supernova data
• [cs.AI]Can rationality be measured?
• [cs.AI]Goal-based Course Recommendation
• [cs.AI]Optimizing Answer Set Computation via Heuristic-Based Decomposition
• [cs.AI]Trip Prediction by Leveraging Trip Histories from Neighboring Users
• [cs.CL]A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
• [cs.CL]An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams
• [cs.CL]Building a Neural Semantic Parser from a Domain Ontology
• [cs.CL]DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus
• [cs.CL]Learning to Refine Source Representations for Neural Machine Translation
• [cs.CL]Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
• [cs.CL]Meta Learning for Few-shot Keyword Spotting
• [cs.CL]Moment Matching Training for Neural Machine Translation: A Preliminary Study
• [cs.CL]Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
• [cs.CL]Quantized-Dialog Language Model for Goal-Oriented Conversational Systems
• [cs.CR]A Review on The Use of Deep Learning in Android Malware Detection
• [cs.CR]Exploratory Data Analysis of a Network Telescope Traffic and Prediction of Port Probing Rates
• [cs.CR]Privacy-Preserving Collaborative Deep Learning with Irregular Participants
• [cs.CV]3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
• [cs.CV]A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
• [cs.CV]A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
• [cs.CV]A Survey to Deep Facial Attribute Analysis
• [cs.CV]A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
• [cs.CV]A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability
• [cs.CV]Advanced Image Processing for Astronomical Images
• [cs.CV]Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method
• [cs.CV]Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
• [cs.CV]Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module
• [cs.CV]Color Image Enhancement Method Based on Weighted Image Guided Filtering
• [cs.CV]Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
• [cs.CV]Coupled Recurrent Network (CRN)
• [cs.CV]Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
• [cs.CV]Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
• [cs.CV]Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery
• [cs.CV]Domain-Aware Generalized Zero-Shot Learning
• [cs.CV]End-to-End Latent Fingerprint Search
• [cs.CV]FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks
• [cs.CV]Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
• [cs.CV]Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation
• [cs.CV]Informative Object Annotations: Tell Me Something I Don't Know
• [cs.CV]Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
• [cs.CV]Learning Not to Learn: Training Deep Neural Networks with Biased Data
• [cs.CV]Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation
• [cs.CV]MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma
• [cs.CV]Motion Blur removal via Coupled Autoencoder
• [cs.CV]Motion Selective Prediction for Video Frame Synthesis
• [cs.CV]Perceptually-based single-image depth super-resolution
• [cs.CV]Practical Adversarial Attack Against Object Detector
• [cs.CV]Precision Highway for Ultra Low-Precision Quantization
• [cs.CV]RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
• [cs.CV]Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
• [cs.CV]Selectivity or Invariance: Boundary-aware Salient Object Detection
• [cs.CV]Similarity R-C3D for Few-shot Temporal Activity Detection
• [cs.CV]Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
• [cs.CV]Spotting Micro-Expressions on Long Videos Sequences
• [cs.CV]Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image
• [cs.CV]TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network
• [cs.CV]Texture Deformation Based Generative Adversarial Networks for Face Editing
• [cs.CV]The algorithm of formation of a training set for an artificial neural network for image segmentation
• [cs.CV]The algorithm of the impulse noise filtration in images based on an algorithm of community detection in graphs
• [cs.CY]Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions
• [cs.CY]Movies Network as the Indicator of Globalization
• [cs.CY]PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records
• [cs.CY]Water quality information dissemination at real-time in South Africa using language modelling
• [cs.CY]Wibson: A Decentralized Data Marketplace
• [cs.DB]On Functional Aggregate Queries with Additive Inequalities
• [cs.DC]Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction
• [cs.DC]CLoTH: a Simulator for HTLC Payment Networks
• [cs.DC]Correction to Byzantine Agreement in Expected Polynomial Time, JACM 2016
• [cs.DC]JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
• [cs.DC]The ShareGrid Portal: an easy way to submit jobs on computational Grids
• [cs.DC]The TAAROA Project Specification
• [cs.DC]The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor
• [cs.GR]A Survey on Non-rigid 3D Shape Analysis
• [cs.HC]BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation
• [cs.HC]Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments
• [cs.IR]Sequence to Sequence Learning for Query Expansion
• [cs.IR]TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
• [cs.IT]A Proof of the Beierle-Kranz-Leander Conjecture related to Lightweight Multiplication in
• [cs.IT]Age of Information in Multihop Multicast Networks
• [cs.IT]CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications
• [cs.IT]Explicit Formulas for the Weight Enumerators of Some Classes of Deletion Correcting Codes
• [cs.IT]Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information
• [cs.IT]GASP Codes for Secure Distributed Matrix Multiplication
• [cs.IT]Optimal Secure GDoF of Symmetric Gaussian Wiretap Channel with a Helper
• [cs.IT]Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks
• [cs.IT]Second-Order Converses via Reverse Hypercontractivity
• [cs.IT]Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents
• [cs.IT]Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach
• [cs.LG]A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System
• [cs.LG]Dropout Regularization in Hierarchical Mixture of Experts
• [cs.LG]Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
• [cs.LG]Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
• [cs.LG]Dynamic Runtime Feature Map Pruning
• [cs.LG]ECG Segmentation by Neural Networks: Errors and Correction
• [cs.LG]Generalization Bounds for Uniformly Stable Algorithms
• [cs.LG]Group Preserving Label Embedding for Multi-Label Classification
• [cs.LG]Improving MMD-GAN Training with Repulsive Loss Function
• [cs.LG]Invariant and Equivariant Graph Networks
• [cs.LG]Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
• [cs.LG]Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
• [cs.LG]Mixed-Order Spectral Clustering for Networks
• [cs.LG]Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
• [cs.LG]PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
• [cs.LG]Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures
• [cs.LG]Parallelized Interactive Machine Learning on Autonomous Vehicles
• [cs.LG]Protecting Sensitive Attributes via Generative Adversarial Networks
• [cs.LG]SNAS: Stochastic Neural Architecture Search
• [cs.LG]Self-Attention Equipped Graph Convolutions for Disease Prediction
• [cs.LG]Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
• [cs.LG]Structure Learning of Sparse GGMs over Multiple Access Networks
• [cs.LG]Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
• [cs.LG]The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA
• [cs.LG]Towards a Theoretical Understanding of Hashing-Based Neural Nets
• [cs.LG]VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
• [cs.LG]bigMap: Big Data Mapping with Parallelized t-SNE
• [cs.LO]The content correlation of multiple streaming edges
• [cs.MM]Learning based Facial Image Compression with Semantic Fidelity Metric
• [cs.NI]Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
• [cs.RO]An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR
• [cs.RO]Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
• [cs.RO]SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments
• [cs.RO]Self-Localization of Parking Robots Using Square-Like Landmarks
• [cs.SD]Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
• [cs.SD]Tensor-Train Long Short-Term Memory for Monaural Speech Enhancement
• [cs.SE]Assuring Autonomous Systems: Opportunities for Integrated Formal Methods?
• [cs.SE]The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
• [cs.SI]Analysis of contagion maps on a class of networks that are spatially embedded in a torus
• [cs.SI]Elites Tweet? Characterizing the Twitter Verified User Network
• [eess.AS]Pansori: ASR Corpus Generation from Open Online Video Contents
• [math.CO]The hat guessing number of graphs
• [math.OC]On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs
• [math.ST]Almost sure convergence for weighted sums of pairwise PQD random variables
• [math.ST]Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
• [math.ST]Optimal False Discovery Control of Minimax Estimator
• [math.ST]Sign tests for weak principal directions
• [physics.geo-ph]Deep learning electromagnetic inversion with convolutional neural networks
• [physics.geo-ph]Incorporating Deformation Energetics in Long-Term Tectonic Modeling
• [physics.soc-ph]The Chaperone Effect in Scientific Publishing
• [q-fin.PM]Portfolio Optimization for Cointelated Pairs: SDEs vs. Machine Learning
• [q-fin.TR]Optimizing Market Making using Multi-Agent Reinforcement Learning
• [quant-ph]Efficiently computable bounds for magic state distillation
• [stat.AP]A backward procedure for change-point detection with applications to copy number variation detection
• [stat.AP]Bayesian Point Set Registration
• [stat.AP]Comparing Spatial Regression to Random Forests for Large Environmental Data Sets
• [stat.AP]Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
• [stat.CO]An Algorithm for computing the t-signature of two-state networks
• [stat.ME]Bayesian Propagation of Record Linkage Uncertainty into Population Size Estimation of Human Rights Violations
• [stat.ME]Bayesian semiparametric modelling of phase-varying point processes
• [stat.ME]Bi-clustering for time-varying relational count data analysis
• [stat.ME]Model Selection for Mixture Models - Perspectives and Strategies
• [stat.ME]On discrimination between the Lindley and xgamma distributions
• [stat.ME]Optimal Treatment Selection Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates
• [stat.ME]Synthetic Difference in Differences
• [stat.ME]rstap: An R Package for Spatial Temporal Aggregated Predictor Models
• [stat.ML]A determinantal point process for column subset selection
• [stat.ML]Bayesian Causal Inference
• [stat.ML]Deep neural networks are biased towards simple functions
• [stat.ML]Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
• [stat.ML]Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
·····································