cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能
cs.CC - 计算复杂度
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.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DM - 离散数学
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
econ.GN - 一般经济学
math.ST - 统计理论
q-bio.NC - 神经元与认知
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Emergence of order in random languages
• [cs.AI]Resolving Conflicts in Clinical Guidelines using Argumentation
• [cs.AI]World Discovery Models
• [cs.CC]Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
• [cs.CL]Discovery of Natural Language Concepts in Individual Units of CNNs
• [cs.CL]Phoneme Level Language Models for Sequence Based Low Resource ASR
• [cs.CL]ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
• [cs.CL]Semantic Neural Machine Translation using AMR
• [cs.CR]Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
• [cs.CV]A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
• [cs.CV]Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
• [cs.CV]Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
• [cs.CV]An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
• [cs.CV]An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
• [cs.CV]Augmentation for small object detection
• [cs.CV]BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation
• [cs.CV]Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
• [cs.CV]DeepBall: Deep Neural-Network Ball Detector
• [cs.CV]Dense 3D Visual Mapping via Semantic Simplification
• [cs.CV]Dual-modality seq2seq network for audio-visual event localization
• [cs.CV]Dynamic Cell Imaging in PET with Optimal Transport Regularization
• [cs.CV]Dynamic Matrix Decomposition for Action Recognition
• [cs.CV]Filtering Point Targets via Online Learning of Motion Models
• [cs.CV]Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
• [cs.CV]Knowledge-based Analysis for Mortality Prediction from CT Images
• [cs.CV]Large-scale mammography CAD with Deformable Conv-Nets
• [cs.CV]Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
• [cs.CV]Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
• [cs.CV]Meaningful representations emerge from Sparse Deep Predictive Coding
• [cs.CV]Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
• [cs.CV]On the effect of age perception biases for real age regression
• [cs.CV]Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
• [cs.CV]Point cloud denoising based on tensor Tucker decomposition
• [cs.CV]Sparsity Constrained Distributed Unmixing of Hyperspectral Data
• [cs.CV]Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
• [cs.CV]TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks
• [cs.CV]Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
• [cs.DC]'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
• [cs.DC]Competitive Concurrent Distributed Scheduling
• [cs.DC]DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
• [cs.DC]JArena: Partitioned Shared Memory for NUMA-awareness in Multi-threaded Scientific Applications
• [cs.DC]The Shutdown Problem: How Does a Blockchain System End?
• [cs.DL]Analysis of the Wikipedia Network of Mathematicians
• [cs.DM]From Sharma-Mittal to von-Neumann Entropy of a Graph
• [cs.DS]Computational Hardness of Certifying Bounds on Constrained PCA Problems
• [cs.DS]Fast, Small, and Simple Document Listing on Repetitive Text Collections
• [cs.IR]Graph Neural Networks for Social Recommendation
• [cs.IR]Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
• [cs.IR]NAIRS: A Neural Attentive Interpretable Recommendation System
• [cs.IR]TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
• [cs.IT]Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design
• [cs.IT]Construction of QC-LDPC Codes with Low Error Floor by Efficient Systematic Search and Elimination of Trapping Sets
• [cs.IT]Improved efficiency for explicit covering codes matching the sphere-covering bound
• [cs.IT]Jamming-assisted Eavesdropping over Parallel Fading Channels
• [cs.IT]Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method
• [cs.IT]Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach
• [cs.IT]Reflect- and Transmit-Array Antennas for Scalable and Energy-Efficient mmWave Massive MIMO
• [cs.IT]Self-dual binary -codes constructed by left ideals of the dihedral group algebra
• [cs.IT]Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation
• [cs.LG]A Note on Bounding Regret of the CUCB Contextual Combinatorial Bandit
• [cs.LG]A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary
• [cs.LG]A novel adaptive learning rate scheduler for deep neural networks
• [cs.LG]Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
• [cs.LG]Adaptive scale-invariant online algorithms for learning linear models
• [cs.LG]Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
• [cs.LG]DOM-Q-NET: Grounded RL on Structured Language
• [cs.LG]Data collaboration analysis for distributed datasets
• [cs.LG]Emulating Human Developmental Stages with Bayesian Neural Networks
• [cs.LG]Fast Neural Network Verification via Shadow Prices
• [cs.LG]Feature Relevance Bounds for Ordinal Regression
• [cs.LG]Investigating Generalisation in Continuous Deep Reinforcement Learning
• [cs.LG]LOSSGRAD: automatic learning rate in gradient descent
• [cs.LG]Learning Optimal Linear Regularizers
• [cs.LG]Learning with Inadequate and Incorrect Supervision
• [cs.LG]Mexican Hat Wavelet Kernel ELM for Multiclass Classification
• [cs.LG]Online Learning with Continuous Variations: Dynamic Regret and Reductions
• [cs.LG]Random Search and Reproducibility for Neural Architecture Search
• [cs.LG]Submodular Load Clustering with Robust Principal Component Analysis
• [cs.LG]Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
• [cs.LG]Understanding and Controlling Memory in Recurrent Neural Networks
• [cs.LG]Where Do Human Heuristics Come From?
• [cs.LG]advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
• [cs.RO]Analytic Model for Quadruped Locomotion Task-Space Planning
• [cs.RO]Learning efficient haptic shape exploration with a rigid tactile sensor array
• [cs.RO]Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
• [cs.RO]Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
• [cs.SI]Contributive Social Capital Extraction From Different Types of Online Data Sources
• [cs.SI]False News On Social Media: A Data-Driven Survey
• [cs.SI]Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks
• [cs.SI]Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems
• [econ.GN]Matching Refugees to Host Country Locations Based on Preferences and Outcomes
• [math.ST]Distributionally Robust Inference for Extreme Value-at-Risk
• [math.ST]Optimal Function-on-Scalar Regression over Complex Domains
• [math.ST]Sample Splitting and Weak Assumption Inference For Time Series
• [math.ST]Universality of Computational Lower Bounds for Submatrix Detection
• [q-bio.NC]Graph Spectral Characterization of Brain Cortical Morphology
• [stat.AP]Accuracy of the Epic Sepsis Prediction Model in a Regional Health System
• [stat.AP]Active Matrix Factorization for Surveys
• [stat.AP]Gaussian Process Priors for Dynamic Paired Comparison Modelling
• [stat.ME]A Semiparametric Effect Size Index
• [stat.ME]Causal variance decompositions for institutional comparisons in healthcare
• [stat.ME]Estimating Treatment Effects with Causal Forests: An Application
• [stat.ME]Interpoint Distance Based Two Sample Tests in High Dimension
• [stat.ML]Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
• [stat.ML]Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
• [stat.ML]Noisy multi-label semi-supervised dimensionality reduction
• [stat.ML]Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
• [stat.ML]Scalable Thompson Sampling via Optimal Transport
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