astro-ph.IM - 仪器仪表和天体物理学方法

    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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 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.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AT - 代数拓扑 math.CT - 范畴论 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 q-bio.QM - 定量方法 q-fin.TR - 贸易与市场微观结构 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

    • [astro-ph.IM]Machine Learning Approach for Air Shower Recognition in EUSO-SPB Data
    • [cs.AI]Addressing Design Issues in Medical Expert System for Low Back Pain Management: Knowledge Representation, Inference Mechanism, and Conflict Resolution Using Bayesian Network
    • [cs.AI]Algorithms for Optimal Diverse Matching
    • [cs.AI]Artificial intelligence empowered multi-AGVs in manufacturing systems
    • [cs.AI]Combination of Embedding Models and Collaboration with Observed Feature Models for Knowledge Graph Completion
    • [cs.AI]Composing Knowledge Graph Embeddings via Word Embeddings
    • [cs.AI]Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis
    • [cs.AI]Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata
    • [cs.AI]Formulating Manipulable Argumentation with Intra-/Inter-Agent Preferences
    • [cs.AI]Lattice-Based Fuzzy Medical Expert System for Low Back Pain Management
    • [cs.AI]Subjectivity Learning Theory towards Artificial General Intelligence
    • [cs.AI]Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations
    • [cs.CL]A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations
    • [cs.CL]ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons
    • [cs.CL]Abductive Reasoning as Self-Supervision for Common Sense Question Answering
    • [cs.CL]Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
    • [cs.CL]Attending the Emotions to Detect Online Abusive Language
    • [cs.CL]Back to the Future — Sequential Alignment of Text Representations
    • [cs.CL]Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
    • [cs.CL]Combining SMT and NMT Back-Translated Data for Efficient NMT
    • [cs.CL]Commonsense Knowledge + BERT for Level 2 Reading Comprehension Ability Test
    • [cs.CL]Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER
    • [cs.CL]Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression
    • [cs.CL]Dependency Parsing for Spoken Dialog Systems
    • [cs.CL]Designing and Interpreting Probes with Control Tasks
    • [cs.CL]Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
    • [cs.CL]Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
    • [cs.CL]Efficient Sentence Embedding using Discrete Cosine Transform
    • [cs.CL]Entity. Relation, and Event Extraction with Contextualized Span Representations
    • [cs.CL]Evaluating Topic Quality with Posterior Variability
    • [cs.CL]Features in Extractive Supervised Single-document Summarization: Case of Persian News
    • [cs.CL]Improving Neural Machine Translation with Parent-Scaled Self-Attention
    • [cs.CL]Improving Neural Question Generation using World Knowledge
    • [cs.CL]Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
    • [cs.CL]KG-BERT: BERT for Knowledge Graph Completion
    • [cs.CL]LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning
    • [cs.CL]Language learning using Speech to Image retrieval
    • [cs.CL]Large Scale Question Answering using Tourism Data
    • [cs.CL]Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
    • [cs.CL]May I Check Again? — A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts
    • [cs.CL]Multi-Task Bidirectional Transformer Representations for Irony Detection
    • [cs.CL]MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
    • [cs.CL]Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
    • [cs.CL]Neural Gaussian Copula for Variational Autoencoder
    • [cs.CL]Neural Machine Translation with Byte-Level Subwords
    • [cs.CL]On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
    • [cs.CL]Out-of-domain Detection for Natural Language Understanding in Dialog Systems
    • [cs.CL]QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
    • [cs.CL]Quality Estimation for Image Captions Based on Large-scale Human Evaluations
    • [cs.CL]Reasoning Over Semantic-Level Graph for Fact Checking
    • [cs.CL]Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
    • [cs.CL]Relationships from Entity Stream
    • [cs.CL]Semantic Role Labeling with Iterative Structure Refinement
    • [cs.CL]Story Realization: Expanding Plot Events into Sentences
    • [cs.CL]Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
    • [cs.CL]The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets
    • [cs.CL]To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation
    • [cs.CL]Unsupervised Paraphrasing by Simulated Annealing
    • [cs.CL]What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
    • [cs.CL]c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction
    • [cs.CR]Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
    • [cs.CV]A New GNG Graph-Based Hand Gesture Recognition Approach
    • [cs.CV]Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
    • [cs.CV]AtLoc: Attention Guided Camera Localization
    • [cs.CV]Automatic Image Pixel Clustering based on Mussels Wandering Optimiz
    • [cs.CV]Blind Geometric Distortion Correction on Images Through Deep Learning
    • [cs.CV]CBNet: A Novel Composite Backbone Network Architecture for Object Detection
    • [cs.CV]Compound Domain Adaptation in an Open World
    • [cs.CV]Cross Domain Image Matching in Presence of Outliers
    • [cs.CV]Crowd Counting on Images with Scale Variation and Isolated Clusters
    • [cs.CV]Deep Metric Learning with Density Adaptivity
    • [cs.CV]Deep Workpiece Region Segmentation for Bin Picking
    • [cs.CV]Deep weakly-supervised learning methods for classification and localization in histology images: a survey
    • [cs.CV]DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
    • [cs.CV]DublinCity: Annotated LiDAR Point Cloud and its Applications
    • [cs.CV]Dynamic Context Correspondence Network for Semantic Alignment
    • [cs.CV]Exploring Temporal Differences in 3D Convolutional Neural Networks
    • [cs.CV]Extreme Low Resolution Activity Recognition with Spatial-Temporal Attention Transfer
    • [cs.CV]Gaussian Temporal Awareness Networks for Action Localization
    • [cs.CV]Geometry-Aware Video Object Detection for Static Cameras
    • [cs.CV]Graph Convolutional Networks for Temporal Action Localization
    • [cs.CV]Hierarchy Parsing for Image Captioning
    • [cs.CV]HoughNet: neural network architecture for vanishing points detection
    • [cs.CV]Imitation Learning for Human Pose Prediction
    • [cs.CV]Learning Geometrically Consistent Mesh Corrections
    • [cs.CV]Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
    • [cs.CV]Look and Modify: Modification Networks for Image Captioning
    • [cs.CV]MULE: Multimodal Universal Language Embedding
    • [cs.CV]Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
    • [cs.CV]Meta-Transfer Networks for Zero-Shot Learning
    • [cs.CV]Multi-Modal Three-Stream Network for Action Recognition
    • [cs.CV]New Graph-based Features For Shape Recognition
    • [cs.CV]Non-discriminative data or weak model? On the relative importance of data and model resolution
    • [cs.CV]On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy
    • [cs.CV]Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
    • [cs.CV]Robust Full-FoV Depth Estimation in Tele-wide Camera System
    • [cs.CV]Robust Multi-Modality Multi-Object Tracking
    • [cs.CV]STA: Adversarial Attacks on Siamese Trackers
    • [cs.CV]Saliency based Semi-supervised Learning for Orbiting Satellite Tracking
    • [cs.CV]Scene Recognition with Prototype-agnostic Scene Layout
    • [cs.CV]Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video
    • [cs.CV]Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
    • [cs.CV]Squeeze-and-Attention Networks for Semantic Segmentation
    • [cs.CV]TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
    • [cs.CV]Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
    • [cs.CV]Unified Underwater Structure-from-Motion
    • [cs.CV]Unsupervised Domain Adaptation for Depth Prediction from Images
    • [cs.CV]Weakly Supervised Localization Using Background Images
    • [cs.CY]Estimating the potential for shared autonomous scooters
    • [cs.CY]How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
    • [cs.CY]Making High-Performance Robots Safe and Easy to Use for an Introduction to Computing
    • [cs.CY]Pretrained AI Models: Performativity, Mobility, and Change
    • [cs.DC]Analyzing the HCP Datasets using GPUs: The Anatomy of a Science Engagement
    • [cs.DC]Automating Cluster Management with Weave
    • [cs.DC]Characterizing the Performance of Executing Many-tasks on Summit
    • [cs.DC]Consensus in Equilibrium: Can One Against All Decide Fairly?
    • [cs.DC]Elastic Remote Methods
    • [cs.DC]GoTcha: An Interactive Debugger for GoT-Based Distributed Systems
    • [cs.DC]Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system
    • [cs.DC]Performance considerations on execution of large scale workflow applications on cloud functions
    • [cs.DC]Revisiting EZBFT: A Decentralized Byzantine Fault Tolerant Protocol with Speculation
    • [cs.DC]Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware
    • [cs.DC]WoTify: A platform to bring Web of Things to your devices
    • [cs.DL]How much research output from India gets social media attention?
    • [cs.DS]Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
    • [cs.DS]Partition Hypergraphs with Embeddings
    • [cs.GT]Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games
    • [cs.GT]Stable Manipulation in Voting
    • [cs.HC]What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
    • [cs.IR]Auto-completion for Data Cells in Relational Tables
    • [cs.IR]Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks
    • [cs.IR]Deep Reinforcement Learning for Online Advertising in Recommender Systems
    • [cs.IR]Generating Reliable Friends via Adversarial Training to Improve Social Recommendation
    • [cs.IR]Open Data Chatbot
    • [cs.IR]Toward a Knowledge-based Personalised Recommender System for Mobile App Development
    • [cs.IT]$C$-differentials, multiplicative uniformity and (almost) perfect $c$-nonlinearity
    • [cs.IT]A Generalised Construction of Multiple Complete Complementary Codes and Asymptotically Optimal Aperiodic Quasi-Complementary Sequence Sets
    • [cs.IT]Demand Private Coded Caching
    • [cs.IT]Dynamic Time-Frequency Division Duplex
    • [cs.IT]Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime
    • [cs.IT]Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization
    • [cs.IT]Joint Long-Term Admission Control and Beamforming in Green Downlink Networks: Offline and Online Approaches
    • [cs.IT]Living near the edge: A lower-bound on the phase transition of total variation minimization
    • [cs.IT]On the Non-Adaptive Zero-Error Capacity of the Discrete Memoryless Two-Way Channel
    • [cs.IT]Reliability and Error Burst Length Analysis of Wireless Multi-Connectivity
    • [cs.IT]SRIM and SCRIM Factors of $x^n+1$ over Finite Fields and Their Applications
    • [cs.IT]Self-Dual Linear Codes over $\mathbb{F}{q}+u\mathbb{F}{q}+u^2\mathbb{F}_{q}$ and Their Applications in the Study of Quasi-Abelian Codes
    • [cs.LG]A New Analysis of Differential Privacy’s Genera
    9b8
    lization Guarantees
    • [cs.LG]A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
    • [cs.LG]A Stochastic Quasi-Newton Method with Nesterov’s Accelerated Gradient
    • [cs.LG]A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
    • [cs.LG]A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
    • [cs.LG]A greedy constructive algorithm for the optimization of neural network architectures
    • [cs.LG]Active learning to optimise time-expensive algorithm selection
    • [cs.LG]Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
    • [cs.LG]An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs
    • [cs.LG]Auto-GNN: Neural Architecture Search of Graph Neural Networks
    • [cs.LG]AutoML for Contextual Bandits
    • [cs.LG]Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
    • [cs.LG]CUDA: Contradistinguisher for Unsupervised Domain Adaptation
    • [cs.LG]Combining Learned Representations for Combinatorial Optimization
    • [cs.LG]Compact Autoregressive Network
    • [cs.LG]Cost-aware Multi-objective Bayesian optimisation
    • [cs.LG]Deep Context-Aware Recommender System Utilizing Sequential Latent Context
    • [cs.LG]Deep Reinforcement Learning for Control of Probabilistic Boolean Networks
    • [cs.LG]Deterministic Value-Policy Gradients
    • [cs.LG]Distance-Preserving Graph Embeddings from Random Neural Features
    • [cs.LG]Distributed Word2Vec using Graph Analytics Frameworks
    • [cs.LG]Efficient Automatic Meta Optimization Search for Few-Shot Learning
    • [cs.LG]Efficient Continual Learning in Neural Networks with Embedding Regularization
    • [cs.LG]Equalizing Recourse across Groups
    • [cs.LG]Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network
    • [cs.LG]Expert-Level Atari Imitation Learning from Demonstrations Only
    • [cs.LG]Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
    • [cs.LG]Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
    • [cs.LG]GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
    • [cs.LG]HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
    • [cs.LG]Incremental learning of environment interactive structures from trajectories of individuals
    • [cs.LG]Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
    • [cs.LG]L_DMI: An Information-theoretic Noise-robust Loss Function
    • [cs.LG]Latent Multi-view Semi-Supervised Classification
    • [cs.LG]Learning Fair Rule Lists
    • [cs.LG]Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases
    • [cs.LG]Learning to Sample: an Active Learning Framework
    • [cs.LG]Lecture Notes: Optimization for Machine Learning
    • [cs.LG]MEBF: a fast and efficient Boolean matrix factorization method
    • [cs.LG]MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
    • [cs.LG]Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms
    • [cs.LG]Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation
    • [cs.LG]Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
    • [cs.LG]Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
    • [cs.LG]Nearly-Unsupervised Hashcode Representations for Relation Extraction
    • [cs.LG]Neural Architecture Search in Embedding Space
    • [cs.LG]Off-Policy Evaluation in Partially Observable Environments
    • [cs.LG]On Need for Topology Awareness of Generative Models
    • [cs.LG]On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
    • [cs.LG]On the clustering of correlated random variables
    • [cs.LG]Optimal Function Approximation with Relu Neural Networks
    • [cs.LG]Order-free Learning Alleviating Exposure Bias in Multi-label Classification
    • [cs.LG]Outlier Detection in High Dimensional Data
    • [cs.LG]Parameter Tuning for Self-optimizing Software at Scale
    • [cs.LG]Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
    • [cs.LG]Policy Space Identification in Configurable Environments
    • [cs.LG]Real Time Trajectory Prediction Using Deep Conditional Generative Models
    • [cs.LG]Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
    • [cs.LG]Scheduling optimization of parallel linear algebra algorithms using Supervised Learning
    • [cs.LG]Self-driving scale car trained by Deep reinforcement Learning
    • [cs.LG]Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
    • [cs.LG]Solving Continual Combinatorial Selection via Deep Reinforcement Learning
    • [cs.LG]Static force field representation of environments based on agents nonlinear motions
    • [cs.LG]TorchGAN: A Flexible Framework for GAN Training and Evaluation
    • [cs.LG]Towards Understanding the Importance of Noise in Training Neural Networks
    • [cs.LG]Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
    • [cs.LG]Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space
    • [cs.LG]Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness
    • [cs.LG]Transfer Reward Learning for Policy Gradient-Based Text Generation
    • [cs.LG]Transferable Neural Processes for Hyperparameter Optimization
    • [cs.LG]Transformer to CNN: Label-scarce distillation for efficient text classification
    • [cs.LG]When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
    • [cs.LO]A dynamic epistemic logic analysis of the equality negation task
    • [cs.LO]Learning Concepts Definable in First-Order Logic with Counting
    • [cs.NE]A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
    • [cs.NE]Unlimited Budget Analysis of Randomised Search Heuristics
    • [cs.RO]A Convolutional Neural Network Approach Towards Self-Driving Cars
    • [cs.RO]A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees
    • [cs.RO]Autonomous Underwater Vehicle: Electronics and Software Implementation of the Proton AUV
    • [cs.RO]Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects
    • [cs.RO]Certified Grasping
    • [cs.RO]Control of Separable Subsystems with Application to Prostheses
    • [cs.RO]DCAD: Decentralized Collision Avoidance with Dynamics Constraints for Agile Quadrotor Swarms
    • [cs.RO]EU Long-term Dataset with Multiple Sensors for Autonomous Driving
    • [cs.RO]Ground truth force distribution for learning-based tactile sensing: a finite element approach
    • [cs.RO]Local Sampling-based Planning with Sequential Bayesian Updates
    • [cs.RO]Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization
    • [cs.RO]OptSample: A Resilient Buffer Management Policy for Robotic Systems based on Optimal Message Sampling
    • [cs.RO]Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration
    • [cs.RO]Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle
    • [cs.RO]SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM
    • [cs.RO]ShapeBots: Shape-changing Swarm Robots
    • [cs.RO]Time Series Motion Generation Considering Long Short-Term Motion
    • [cs.RO]Trunk Pitch Oscillations for Joint Load Redistribution in Humans and Humanoid Robots
    • [cs.RO]Virtual Fixture Assistance for Suturing in Robot-Aided Pediatric Endoscopic Surgery
    • [cs.SE]Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
    • [cs.SI]A Generalized Configuration Model with Degree Correlations and Its Percolation Analysis
    • [cs.SI]A complex network approach to political analysis: application to the Brazilian Chamber of Deputies
    • [cs.SI]An Experimental Study of Structural Diversity in Social Networks
    • [cs.SI]Assessing Disaster Impacts on Highways Using Social Media: Case Study of Hurricane Harvey
    • [cs.SI]Community Detection via Katz and Eigenvector Centrality
    • [cs.SI]Do you really follow them? Automatic detection of credulous Twitter users
    • [cs.SI]Kernel Node Embeddings
    • [cs.SI]Multi-group connectivity structures and their implications
    • [cs.SI]The Future of Misinformation Detection: New Perspectives and Trends
    • [eess.AS]DNN-based cross-lingual voice conversion using Bottleneck Features
    • [eess.AS]Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs
    • [eess.IV]A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
    • [eess.IV]An Acceleration Framework for High Resolution Image Synthesis
    • [eess.IV]Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
    • [eess.IV]Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
    • [eess.IV]DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
    • [eess.IV]High Resolution Medical Image Analysis with Spatial Partitioning
    • [eess.IV]LCSCNet: Linear Compressing Based Sk
    7b6
    ip-Connecting Network for Image Super-Resolution
    • [eess.IV]Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
    • [eess.SP]Bayesian Design of Sampling Set for Bandlimited Graph Signals
    • [eess.SP]Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series
    • [eess.SP]Fast mmwave Beam Alignment via Correlated Bandit Learning
    • [eess.SP]Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson’s Disease using Deep Recurrent Neural Networks
    • [eess.SP]Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study
    • [eess.SP]Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
    • [eess.SY]Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains
    • [eess.SY]Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO
    • [math.AT]Probabilistic Convergence and Stability of Random Mapper Graphs
    • [math.CT]The Essence of Petri Net Gluings
    • [math.NA]Calibration of a Fluid-Structure Problem with Keras
    • [math.OC]Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes
    • [math.OC]Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
    • [math.OC]On the connections between algorithmic regularization and penalization for convex losses
    • [math.OC]Sparse linear regression with compressed and low-precision data via concave quadratic programming
    • [math.ST]A hypothesis-testing perspective on the G-normal distribution theory
    • [math.ST]Community detection in inhomogeneous random graphs
    • [math.ST]Concentration of kernel matrices with application to kernel spectral clustering
    • [math.ST]Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models
    • [math.ST]Inference In General Single-Index Models Under High-dimensional Symmetric Designs
    • [math.ST]On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
    • [math.ST]The Alpha-Beta-Skew-Logistic Distribution And Its Applications
    • [q-bio.QM]NuClick: From Clicks in the Nuclei to Nuclear Boundaries
    • [q-fin.TR]Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning
    • [stat.AP]INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
    • [stat.AP]Multivariate spectral downscaling for PM2.5 species
    • [stat.CO]A direct Hamiltonian MCMC approach for reliability estimation
    • [stat.ME]Isotonic Distributional Regression
    • [stat.ME]Robust testing in generalized linear models by sign-flipping score contributions
    • [stat.ME]Sampling Conditionally on a Rare Event via Generalized Splitting
    • [stat.ME]What is the value of experimentation & measurement?
    • [stat.ML]Communication-Censored Distributed Stochastic Gradient Descent
    • [stat.ML]Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory
    • [stat.ML]Differential equations as models of deep neural networks
    • [stat.ML]Driver Identification via the Steering Wheel
    • [stat.ML]Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors
    • [stat.ML]Iterative Spectral Method for Alternative Clustering
    • [stat.ML]Joint, Partially-joint, and Individual Independent Component Analysis in Multi-Subject fMRI Data
    • [stat.ML]Relevance Matrix Factorization
    • [stat.ML]Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection
    • [stat.ML]Theory of Optimal Bayesian Feature Filtering
    • [stat.ML]Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models
    • [stat.OT]A new approach of chain sampling inspection plan

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    • [astro-ph.IM]Machine Learning Approach for Air Shower Recognition in EUSO-SPB Data
    Michal Vrábel, Ján Genči, Pavol Bobik, Francesca Bisconti
    http://arxiv.org/abs/1909.03680v1

    • [cs.AI]Addressing Design Issues in Medical Expert System for Low Back Pain Management: Knowledge Representation, Inference Mechanism, and Conflict Resolution Using Bayesian Network
    Debarpita Santra, Jyotsna Kumar Mandal, Swapan Kumar Basu, Subrata Goswami
    http://arxiv.org/abs/1909.03987v1

    • [cs.AI]Algorithms for Optimal Diverse Matching
    Ahmadi, Saba, Ahmed, Faez, Dickerson, John P., Fuge, Mark, Khuller, Samir
    http://arxiv.org/abs/1909.03350v1

    • [cs.AI]Artificial intelligence empowered multi-AGVs in manufacturing systems
    Dong Li, Bo Ouyang, Duanpo Wu, Yaonan Wang
    http://arxiv.org/abs/1909.03373v1

    • [cs.AI]Combination of Embedding Models and Collaboration with Observed Feature Models for Knowledge Graph Completion
    Takuma Ebisu, Ryutaro Ichise
    http://arxiv.org/abs/1909.03821v1

    • [cs.AI]Composing Knowledge Graph Embeddings via Word Embeddings
    Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang
    http://arxiv.org/abs/1909.03794v1

    • [cs.AI]Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis
    Moshe BenBassat
    http://arxiv.org/abs/1909.03470v1

    • [cs.AI]Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata
    Anthony D. Rhodes
    http://arxiv.org/abs/1909.03560v1

    • [cs.AI]Formulating Manipulable Argumentation with Intra-/Inter-Agent Preferences
    Ryuta Arisaka, Makoto Hagiwara, Takayuki Ito
    http://arxiv.org/abs/1909.03616v1

    • [cs.AI]Lattice-Based Fuzzy Medical Expert System for Low Back Pain Management
    Debarpita Santra, S. K. Basu, J. K. Mondal, Subrata Goswami
    http://arxiv.org/abs/1909.03983v1

    • [cs.AI]Subjectivity Learning Theory towards Artificial General Intelligence
    Xin Su, Shangqi Guo, Feng Chen
    http://arxiv.org/abs/1909.03798v1

    • [cs.AI]Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations
    Martin Atzmueller, Cicek Güven, Dietmar Seipel
    http://arxiv.org/abs/1909.03404v1

    • [cs.CL]A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations
    Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
    http://arxiv.org/abs/1909.03227v1

    • [cs.CL]ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons
    Margaret Li, Jason Weston, Stephen Roller
    http://arxiv.org/abs/1909.03087v1

    • [cs.CL]Abductive Reasoning as Self-Supervision for Common Sense Question Answering
    Sathyanarayanan N. Aakur, Sudeep Sarkar
    http://arxiv.org/abs/1909.03099v1

    • [cs.CL]Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
    Chen Zhang, Qiuchi Li, Dawei Song
    http://arxiv.org/abs/1909.03477v1

    • [cs.CL]Attending the Emotions to Detect Online Abusive Language
    Niloofar Safi Samghabadi, Afsheen Hatami, Mahsa Shafaei, Sudipta Kar, Thamar Solorio
    http://arxiv.org/abs/1909.03100v1

    • [cs.CL]Back to the Future — Sequential Alignment of Text Representations
    Johannes Bjerva, Wouter Kouw, Isabelle Augenstein
    http://arxiv.org/abs/1909.03464v1

    • [cs.CL]Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
    Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung
    http://arxiv.org/abs/1909.03582v1

    • [cs.CL]Combining SMT and NMT Back-Translated Data for Efficient NMT
    Alberto Poncelas, Maja Popovic, Dimitar Shterionov, Gideon Maillette de Buy Wenniger, Andy Way
    http://arxiv.org/abs/1909.03750v1

    • [cs.CL]Commonsense Knowledge + BERT for Level 2 Reading Comprehension Ability Test
    Yidan Hu, Gongqi Lin, Yuan Miao, Chunyan Miao
    http://arxiv.org/abs/1909.03415v1

    • [cs.CL]Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER
    Milan Straka, Jana Straková, Jan Hajič
    http://arxiv.org/abs/1909.03544v1

    • [cs.CL]Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression
    Tong Niu, Caiming Xiong, Richard Socher
    http://arxiv.org/abs/1909.03223v1

    • [cs.CL]Dependency Parsing for Spoken Dialog Systems
    Sam Davidson, Dian Yu, Zhou Yu
    http://arxiv.org/abs/1909.03317v1

    • [cs.CL]Designing and Interpreting Probes with Control Tasks
    John Hewitt, Percy Liang
    http://arxiv.org/abs/1909.03368v1

    • [cs.CL]Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
    Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
    http://arxiv.org/abs/1909.03590v1

    • [cs.CL]Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
    Christopher Clark, Mark Yatskar, Luke Zettlemoyer
    http://arxiv.org/abs/1909.03683v1

    • [cs.CL]Efficient Sentence Embedding using Discrete Cosine Transform
    Nada Almarwani, Hanan Aldarmaki, Mona Diab
    http://arxiv.org/abs/1909.03104v1

    • [cs.CL]Entity. Relation, and Event Extraction with Contextualized Span Representations
    David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi
    http://arxiv.org/abs/1909.03546v1

    • [cs.CL]Evaluating Topic Quality with Posterior Variability
    Linzi Xing, Michael J. Paul, Giuseppe Carenini
    http://arxiv.org/abs/1909.03524v1

    • [cs.CL]Features in Extractive Supervised Single-document Summarization: Case of Persian News
    Hosein Rezaei, Seyed Amid Moeinzadeh, Azar Shahgholian, Mohamad Saraee
    http://arxiv.org/abs/1909.02776v2

    • [cs.CL]Improving Neural Machine Translation with Parent-Scaled Self-Attention
    Emanuele Bugliarello, Naoaki Okazaki
    http://arxiv.org/abs/1909.03149v1

    • [cs.CL]Improving Neural Question Generation using World Knowledge
    Deepak Gupta, Kaheer Suleman, Mahmoud Adada, Andrew McNamara, Justin Harris
    http://arxiv.org/abs/1909.03716v1

    • [cs.CL]Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
    Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, Mohit Iyyer
    http://arxiv.org/abs/1909.03343v1

    • [cs.CL]KG-BERT: BERT for Knowledge Graph Completion
    Liang Yao, Chengsheng Mao, Yuan Luo
    http://arxiv.org/abs/1909.03193v1

    • [cs.CL]LAMAL: LAnguage Modeling Is All You Need for Lifelong Language Learning
    Fan-Keng Sun, Cheng-Hao Ho, Hung-Yi Lee
    http://arxiv.org/abs/1909.03329v1

    • [cs.CL]Language learning using Speech to Image retrieval
    Danny Merkx, Stefan L. Frank, Mirjam Ernestus
    http://arxiv.org/abs/1909.03795v1

    • [cs.CL]Large Scale Question Answering using Tourism Data
    Danish Contractor, Krunal Shah, Aditi Partap, Mausam, Parag Singla
    http://arxiv.org/abs/1909.03527v1

    • [cs.CL]Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
    Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
    http://arxiv.org/abs/1909.03084v1

    • [cs.CL]May I Check Again? — A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts
    Valentin Barriere, Amaury Fouret
    http://arxiv.org/abs/1909.03453v1

    • [cs.CL]Multi-Task Bidirectional Transformer Representations for Irony Detection
    Chiyu Zhang, Muhammad Abdul-Mageed
    http://arxiv.org/abs/1909.03526v1

    • [cs.CL]MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
    Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen
    http://arxiv.org/abs/1909.03242v1

    • [cs.CL]Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
    Abhishek Sharma, Danish Contractor, Harshit Kumar, Sachindra Joshi
    http://arxiv.org/abs/1909.03759v1

    • [cs.CL]Neural Gaussian Copula for Variational Autoencoder
    Prince Zizhuang Wang, William Yang Wang
    http://arxiv.org/abs/1909.03569v1

    • [cs.CL]Neural Machine Translation with Byte-Level Subwords
    Changhan Wang, Kyunghyun Cho, Jiatao Gu
    http://arxiv.org/abs/1909.03341v1

    • [cs.CL]On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
    Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal
    http://arxiv.org/abs/1909.03186v1

    • [cs.CL]Out-of-domain Detection for Natural Language Understanding in Dialog Systems
    Yinhe Zheng, Guanyi Chen, Minlie Huang
    http://arxiv.org/abs/1909.03862v1

    • [cs.CL]QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
    Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
    http://arxiv.org/abs/1909.03553v1

    • [cs.CL]Quality Estimation for Image Captions Based on Large-scale Human Evaluations
    Tomer Levinboim, Ashish Thapliyal, Piyush Sharma, Radu Soricut
    http://arxiv.org/abs/1909.03396v1

    • [cs.CL]Reasoning Over Semantic-Level Graph for Fact Checking
    Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin
    http://arxiv.org/abs/1909.03745v1

    • [cs.CL]Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
    Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston
    http://arxiv.org/abs/1909.03922v1

    • [cs.CL]Relationships from Entity Stream
    Martin Andrews, Sam Witteveen
    http://arxiv.org/abs/1909.03315v1

    • [cs.CL]Semantic Role Labeling with Iterative Structure Refinement
    Chunchuan Lyu, Shay B. Cohen, Ivan Titov
    http://arxiv.org/abs/1909.03285v1

    • [cs.CL]Story Realization: Expanding Plot Events into Sentences
    Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl
    http://arxiv.org/abs/1909.03480v1

    • [cs.CL]Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
    Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang
    http://arxiv.org/abs/1909.03405v1

    • [cs.CL]The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets
    Charuta Pethe, Steven Skiena
    http://arxiv.org/abs/1909.04002v1

    • [cs.CL]To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation
    Andrey Kutuzov, Elizaveta Kuzmenko
    http://arxiv.org/abs/1909.03135v1

    • [cs.CL]Unsupervised Paraphrasing by Simulated Annealing
    Xianggen Liu, LiLi Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
    http://arxiv.org/abs/1909.03588v1

    • [cs.CL]What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
    Xiaolei Huang, Jonathan May, Nanyun Peng
    http://arxiv.org/abs/1909.03598v1

    • [cs.CL]c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction
    Bin Guo, Hao Wang, Yasan Ding, Shaoyang Hao, Yueqi Sun, Zhiwen Yu
    http://arxiv.org/abs/1909.03409v1

    • [cs.CR]Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
    Simon D. Duque Anton, Anna Pia Lohfink, Hans Dieter Schotten
    http://arxiv.org/abs/1909.03753v1

    • [cs.CV]A New GNG Graph-Based Hand Gesture Recognition Approach
    Narges Mirehi, Maryam Tahmasbi
    http://arxiv.org/abs/1909.03534v1

    • [cs.CV]Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
    Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, Kuiyuan Yang
    http://arxiv.org/abs/1909.03751v1

    • [cs.CV]AtLoc: Attention Guided Camera Localization
    Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/1909.03557v1

    • [cs.CV]Automatic Image Pixel Clustering based on Mussels Wandering Optimiz
    Xin Zhong, Frank Y. Shih, Xiwang Guo
    http://arxiv.org/abs/1909.03380v1

    • [cs.CV]Blind Geometric Distortion Correction on Images Through Deep Learning
    Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao
    http://arxiv.org/abs/1909.03459v1

    • [cs.CV]CBNet: A Novel Composite Backbone Network Architecture for Object Detection
    Yudong Liu, Yongtao Wang, Siwei Wang, TingTing Liang, Qijie Zhao, Zhi Tang, Haibin Ling
    http://arxiv.org/abs/1909.03625v1

    • [cs.CV]Compound Domain Adaptation in an Open World
    Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong
    http://arxiv.org/abs/1909.03403v1

    • [cs.CV]Cross Domain Image Matching in Presence of Outliers
    Xin Liu, Seyran Khademi, Jan C. van Gemert
    http://arxiv.org/abs/1909.03552v1

    • [cs.CV]Crowd Counting on Images with Scale Variation and Isolated Clusters
    Haoyue Bai, Song Wen, S. -H. Gary Chan
    http://arxiv.org/abs/1909.03839v1

    • [cs.CV]Deep Metric Learning with Density Adaptivity
    Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei
    http://arxiv.org/abs/1909.03909v1

    • [cs.CV]Deep Workpiece Region Segmentation for Bin Picking
    Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
    http://arxiv.org/abs/1909.03462v1

    • [cs.CV]Deep weakly-supervised learning methods for classification and localization in histology images: a survey
    Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
    http://arxiv.org/abs/1909.03354v1

    • [cs.CV]DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
    Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan
    http://arxiv.org/abs/1909.03669v1

    • [cs.CV]DublinCity: Annotated LiDAR Point Cloud and its Applications
    S. M. Iman Zolanvari, Susana Ruano, Aakanksha Rana, Alan Cummins, Rogerio Eduardo da Silva, Morteza Rahbar, Aljosa Smolic
    http://arxiv.org/abs/1909.03613v1

    • [cs.CV]Dynamic Context Correspondence Network for Semantic Alignment
    Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He
    http://arxiv.org/abs/1909.03444v1

    • [cs.CV]Exploring Temporal Differences in 3D Convolutional Neural Networks
    Gagan Kanojia, Sudhakar Kumawat, Shanmuganathan Raman
    http://arxiv.org/abs/1909.03309v1

    • [cs.CV]Extreme Low Resolution Activity Recognition with Spatial-Temporal Attention Transfer
    Yucai Bai, Giang Dai, Long Chen
    http://arxiv.org/abs/1909.03580v1

    • [cs.CV]Gaussian Temporal Awareness Networks for Action Localization
    Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
    http://arxiv.org/abs/1909.03877v1

    • [cs.CV]Geometry-Aware Video Object Detection for Static Cameras
    Dan Xu, Weidi Xie, Andrew Zisserman
    http://arxiv.org/abs/1909.03140v1

    • [cs.CV]Graph Convolutional Networks for Temporal Action Localization
    Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
    http://arxiv.org/abs/1909.03252v1

    • [cs.CV]Hierarchy Parsing for Image Captioning
    Ting Yao, Yingwei Pan, Yehao Li, Tao Mei
    http://arxiv.org/abs/1909.03918v1

    • [cs.CV]HoughNet: neural network architecture for vanishing points detection
    Alexander Sheshkus, Anastasia Ingacheva, Vladimir Arlazarov, Dmitry Nikolaev
    http://arxiv.org/abs/1909.03812v1

    • [cs.CV]Imitation Learning for Human Pose Prediction
    Borui Wang, Ehsan Adeli, Hsu-kuang Chiu, De-An Huang, Juan Carlos Niebles
    http://arxiv.org/abs/1909.03449v1

    • [cs.CV]Learning Geometrically Consistent Mesh Corrections
    Ştefan Săftescu, Paul Newman
    http://arxiv.org/abs/1909.03471v1

    • [cs.CV]Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
    Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
    http://arxiv.org/abs/1909.03677v1

    • [cs.CV]Look and Modify: Modification Networks for Image Captioning
    Fawaz Sammani, Mahmoud Elsayed
    http://arxiv.org/abs/1909.03169v1

    • [cs.CV]MULE: Multimodal Universal Language Embedding
    Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
    http://arxiv.org/abs/1909.03493v1

    • [cs.CV]Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
    Dan Barnes, Rob Weston, Ingmar Posner
    http://arxiv.org/abs/1909.03752v1

    • [cs.CV]Meta-Transfer Networks for Zero-Shot Learning
    Yunlong Yu, Zhongfei Zhang, Jungong Han
    http://arxiv.org/abs/1909.03360v1

    • [cs.CV]Multi-Modal Three-Stream Network for Action Recognition
    Muhammad Usman Khalid, Jie Yu
    http://arxiv.org/abs/1909.03466v1

    • [cs.CV]New Graph-based Features For Shape Recognition
    Narges Mirehi, Maryam Tahmasbi, Alireza Tavakoli Targhi
    http://arxiv.org/abs/1909.03482v1

    • [cs.CV]Non-discriminative data or weak model? On the relative importance of data and model resolution
    Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard
    http://arxiv.org/abs/1909.03205v1

    • [cs.CV]On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy
    Tim Laibacher, André Anjos
    http://arxiv.org/abs/1909.03856v1

    • [cs.CV]Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
    Jingwen Fu, Xiaoyan Zhu, Yingbin Li
    http://arxiv.org/abs/1909.03258v1

    • [cs.CV]Robust Full-FoV Depth Estimation in Tele-wide Camera System
    Kai Guo, Seongwook Song, Tae-ui Kim, Seungmin Han, Soonkeun Chang
    http://arxiv.org/abs/1909.03375v1

    • [cs.CV]Robust Multi-Modality Multi-Object Tracking
    Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy
    http://arxiv.org/abs/1909.03850v1

    • [cs.CV]STA: Adversarial Attacks on Siamese Trackers
    Xugang Wu, Xiaoping Wang, Xu Zhou, Songlei Jian
    http://arxiv.org/abs/1909.03413v1

    • [cs.CV]Saliency based Semi-supervised Learning for Orbiting Satellite Tracking
    Peizhuo Li, Yunda Sun, Xue Wan
    http://arxiv.org/abs/1909.03656v1

    • [cs.CV]Scene Recognition with Prototype-agnostic Scene Layout
    Gongwei Chen, Xinhang Song, Haitao Zeng, Shuqiang Jiang
    http://arxiv.org/abs/1909.03234v1

    • [cs.CV]Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video
    Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
    http://arxiv.org/abs/1909.03101v1

    • [cs.CV]Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
    Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1909.03714v1

    • [cs.CV]Squeeze-and-Attention Networks for Semantic Segmentation
    Zilong Zhong, Zhongqiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong
    http://arxiv.org/abs/1909.03402v1

    • [cs.CV]TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
    Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan Yuille
    http://arxiv.org/abs/1909.03879v1

    • [cs.CV]Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
    Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki
    http://arxiv.org/abs/1909.04021v1

    • [cs.CV]Unified Underwater Structure-from-Motion
    Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki
    http://arxiv.org/abs/1909.03583v1

    • [cs.CV]Unsupervised Domain Adaptation for Depth Prediction from Images
    Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
    http://arxiv.org/abs/1909.03943v1

    • [cs.CV]Weakly Supervised Localization Using Background Images
    Ziyi Kou, Guofeng Cui, Shaojie Wang, Wentian Zhao
    http://arxiv.org/abs/1909.03619v1

    • [cs.CY]Estimating the potential for shared autonomous scooters
    Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti
    http://arxiv.org/abs/1909.03679v1

    • [cs.CY]How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
    Yaoli Mao, Dakuo Wang, Michael Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, AleksandraMojsilović
    http://arxiv.org/abs/1909.03486v1

    • [cs.CY]Making High-Performance Robots Safe and Easy to Use for an Introduction to Computing
    Joseph Spitzer, Joydeep Biswas, Arjun Guha
    http://arxiv.org/abs/1909.03110v1

    • [cs.CY]Pretrained AI Models: Performativity, Mobility, and Change
    Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
    http://arxiv.org/abs/1909.03290v1

    • [cs.DC]Analyzing the HCP Datasets using GPUs: The Anatomy of a Science Engagement
    John-Paul Robinson, Thomas Anthony, Ravi Tripathi, Sara A. Sims, Kristina M. Visscher, Purushotham V. Bangalore
    http://arxiv.org/abs/1909.03314v1

    • [cs.DC]Automating Cluster Management with Weave
    Lalith Suresh, Joao Loff, Faria Kalim, Nina Narodytska, Leonid Ryzhyk, Sahan Gamage, Brian Oki, Zeeshan Lokhandwala, Mukesh Hira, Mooly Sagiv
    http://arxiv.org/abs/1909.03130v1

    • [cs.DC]Characterizing the Performance of Executing Many-tasks on Summit
    Matteo Turilli, Andre Merzky, Thomas Naughton, Wael Elwasif, Shantenu Jha
    http://arxiv.org/abs/1909.03057v1

    • [cs.DC]Consensus in Equilibrium: Can One Against All Decide Fairly?
    Yehuda Afek, Itay Harel, Amit Jacob-Fanani, Moshe Sulamy
    http://arxiv.org/abs/1909.03432v1

    • [cs.DC]Elastic Remote Methods
    K. R. Jayaram
    http://arxiv.org/abs/1909.03346v1

    • [cs.DC]GoTcha: An Interactive Debugger for GoT-Based Distributed Systems
    Rohan Achar, Pritha Dawn, Cristina V. Lopes
    http://arxiv.org/abs/1909.03167v1

    • [cs.DC]Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system
    Kazutomo Yoshii, John Tramm, Andrew Siegel, Pete Beckman
    http://arxiv.org/abs/1909.03632v1

    • [cs.DC]Performance considerations on execution of large scale workflow applications on cloud functions
    Maciej Pawlik, Kamil Figiela, Maciej Malawski
    http://arxiv.org/abs/1909.03555v1

    • [cs.DC]Revisiting EZBFT: A Decentralized Byzantine Fault Tolerant Protocol with Speculation
    Nibesh Shrestha, Mohan Kumar
    http://arxiv.org/abs/1909.03990v1

    • [cs.DC]Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware
    Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler
    http://arxiv.org/abs/1909.03231v1

    • [cs.DC]WoTify: A platform to bring Web of Things to your devices
    Ege Korkan, Hassib Belhaj Hassine, Verena Eileen Schlott, Sebastian Käbisch, Sebastian Steinhorst
    http://arxiv.org/abs/1909.03296v1

    • [cs.DL]How much research output from India gets social media attention?
    Sumit Kumar Banshal, Vivek Kumar Singh, Pranab K. Muhuri, Philipp Mayr
    http://arxiv.org/abs/1909.03506v1

    • [cs.DS]Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
    Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan Ullman
    http://arxiv.org/abs/1909.03951v1

    • [cs.DS]Partition Hypergraphs with Embeddings
    Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
    http://arxiv.org/abs/1909.04016v1

    • [cs.GT]Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games
    Jan Karwowski, Jacek Mańdziuk
    http://arxiv.org/abs/1909.03934v1

    • [cs.GT]Stable Manipulation in Voting
    Aditya Anand, Palash Dey
    http://arxiv.org/abs/1909.03162v1

    • [cs.HC]What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
    Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
    http://arxiv.org/abs/1909.03567v1

    • [cs.IR]Auto-completion for Data Cells in Relational Tables
    Shuo Zhang, Krisztian Balog
    http://arxiv.org/abs/1909.03443v1

    • [cs.IR]Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks
    Athanasios N. Nikolakopoulos, George Karypis
    http://arxiv.org/abs/1909.03579v1

    • [cs.IR]Deep Reinforcement Learning for Online Advertising in Recommender Systems
    Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Jiliang Tang, Xiwang Yang
    http://arxiv.org/abs/1909.03602v1

    • [cs.IR]Generating Reliable Friends via Adversarial Training to Improve Social Recommendation
    Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
    http://arxiv.org/abs/1909.03529v1

    • [cs.IR]Open Data Chatbot
    Sophia Keyner, Vadim Savenkov, Svitlana Vakulenko
    http://arxiv.org/abs/1909.03653v1

    • [cs.IR]Toward a Knowledge-based Personalised Recommender System for Mobile App Development
    Bilal Abu-Salih
    http://arxiv.org/abs/1909.03733v1

    • [cs.IT]$C$-differentials, multiplicative uniformity and (almost) perfect $c$-nonlinearity
    Pal Ellingsen, Patrick Felke, Constanza Riera, Pantelimon Stanica, Anton Tkachenko
    http://arxiv.org/abs/1909.03628v1

    • [cs.IT]A Generalised Construction of Multiple Complete Complementary Codes and Asymptotically Optimal Aperiodic Quasi-Complementary Sequence Sets
    Zhengchun Zhou, Fangrui Liu, Avik Ranjan Adhikary, Pingzhi Fan
    http://arxiv.org/abs/1909.03878v1

    • [cs.IT]Demand Private Coded Caching
    Sneha Kamath
    http://arxiv.org/abs/1909.03324v1

    • [cs.IT]Dynamic Time-Frequency Division Duplex
    Mohsen Mohammadkhani Razlighi, Nikola Zlatanov, Petar Popovski
    http://arxiv.org/abs/1909.03058v1

    • [cs.IT]Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime
    Shu Liu, Ivan Tjuawinata, Chaoping Xing
    http://arxiv.org/abs/1909.03426v1

    • [cs.IT]Intelligent Reflecting Surface-Enhanced OFDM: Channel Estimation and Reflection Optimization
    Beixiong Zheng, Rui Zhang
    http://arxiv.org/abs/1909.03272v1

    • [cs.IT]Joint Long-Term Admission Control and Beamforming in Green Downlink Networks: Offline and Online Approaches
    Jingran Lin, Mengyuan Ma, Qiang Li, Jian Yang
    http://arxiv.org/abs/1909.03644v1

    • [cs.IT]Living near the edge: A lower-bound on the phase transition of total variation minimization
    Sajad Daei, Farzan Haddadi, Arash Amini
    http://arxiv.org/abs/1909.03392v1

    • [cs.IT]On the Non-Adaptive Zero-Error Capacity of the Discrete Memoryless Two-Way Channel
    Yujie Gu, Ofer Shayevitz
    http://arxiv.org/abs/1909.03950v1

    • [cs.IT]Reliability and Error Burst Length Analysis of Wireless Multi-Connectivity
    Jimmy J. Nielsen, Israel Leyva-Mayorga, Petar Popovski
    http://arxiv.org/abs/1909.03875v1

    • [cs.IT]SRIM and SCRIM Factors of $x^n+1$ over Finite Fields and Their Applications
    Arunwan Boripan, Somphong Jitman
    http://arxiv.org/abs/1909.03826v1

    • [cs.IT]Self-Dual Linear Codes over $\mathbb{F}{q}+u\mathbb{F}{q}+u^2\mathbb{F}_{q}$ and Their Applications in the Study of Quasi-Abelian Codes
    Parinyawat Choosuwan, Somphong Jitman
    http://arxiv.org/abs/1909.03174v1

    • [cs.LG]A New Analysis of Differential Privacy’s Genera
    9b8
    lization Guarantees
    Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld
    http://arxiv.org/abs/1909.03577v1

    • [cs.LG]A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks
    Davide Bacciu, Luigi Di Sotto
    http://arxiv.org/abs/1909.03287v1

    • [cs.LG]A Stochastic Quasi-Newton Method with Nesterov’s Accelerated Gradient
    S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
    http://arxiv.org/abs/1909.03621v1

    • [cs.LG]A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
    Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle, John Hallam
    http://arxiv.org/abs/1909.03772v1

    • [cs.LG]A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data
    Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger
    http://arxiv.org/abs/1909.03890v1

    • [cs.LG]A greedy constructive algorithm for the optimization of neural network architectures
    Massimiliano Lupo Pasini, Junqi Yin, Ying Wai Li, Markus Eisenbach
    http://arxiv.org/abs/1909.03306v1

    • [cs.LG]Active learning to optimise time-expensive algorithm selection
    Riccardo Volpato, Guangyan Song
    http://arxiv.org/abs/1909.03261v1

    • [cs.LG]Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
    Weiyu Cheng, Yanyan Shen, Linpeng Huang
    http://arxiv.org/abs/1909.03276v1

    • [cs.LG]An Adaptive Stochastic Nesterov Accelerated Quasi Newton Method for Training RNNs
    S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai
    http://arxiv.org/abs/1909.03620v1

    • [cs.LG]Auto-GNN: Neural Architecture Search of Graph Neural Networks
    Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
    http://arxiv.org/abs/1909.03184v1

    • [cs.LG]AutoML for Contextual Bandits
    Praneet Dutta, Man Kit, Cheuk, Jonathan S Kim, Massimo Mascaro
    http://arxiv.org/abs/1909.03212v1

    • [cs.LG]Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
    Shuyu Lin, Stephen Roberts, Niki Trigoni, Ronald Clark
    http://arxiv.org/abs/1909.03765v1

    • [cs.LG]CUDA: Contradistinguisher for Unsupervised Domain Adaptation
    Sourabh Balgi, Ambedkar Dukkipati
    http://arxiv.org/abs/1909.03442v1

    • [cs.LG]Combining Learned Representations for Combinatorial Optimization
    Saavan Patel, Sayeef Salahuddin
    http://arxiv.org/abs/1909.03978v1

    • [cs.LG]Compact Autoregressive Network
    Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian
    http://arxiv.org/abs/1909.03830v1

    • [cs.LG]Cost-aware Multi-objective Bayesian optimisation
    Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
    http://arxiv.org/abs/1909.03600v1

    • [cs.LG]Deep Context-Aware Recommender System Utilizing Sequential Latent Context
    Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach
    http://arxiv.org/abs/1909.03999v1

    • [cs.LG]Deep Reinforcement Learning for Control of Probabilistic Boolean Networks
    Georgios Papagiannis, Sotiris Moschoyiannis
    http://arxiv.org/abs/1909.03331v1

    • [cs.LG]Deterministic Value-Policy Gradients
    Qingpeng Cai, Ling Pan, Pingzhong Tang
    http://arxiv.org/abs/1909.03939v1

    • [cs.LG]Distance-Preserving Graph Embeddings from Random Neural Features
    Daniele Zambon, Cesare Alippi, Lorenzo Livi
    http://arxiv.org/abs/1909.03790v1

    • [cs.LG]Distributed Word2Vec using Graph Analytics Frameworks
    Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
    http://arxiv.org/abs/1909.03359v1

    • [cs.LG]Efficient Automatic Meta Optimization Search for Few-Shot Learning
    Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao shi, Feiyu Xu
    http://arxiv.org/abs/1909.03817v1

    • [cs.LG]Efficient Continual Learning in Neural Networks with Embedding Regularization
    Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
    http://arxiv.org/abs/1909.03742v1

    • [cs.LG]Equalizing Recourse across Groups
    Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian
    http://arxiv.org/abs/1909.03166v1

    • [cs.LG]Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network
    Yuan Meng
    http://arxiv.org/abs/1909.03704v1

    • [cs.LG]Expert-Level Atari Imitation Learning from Demonstrations Only
    Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou
    http://arxiv.org/abs/1909.03773v1

    • [cs.LG]Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
    Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves
    http://arxiv.org/abs/1909.03906v1

    • [cs.LG]Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
    Yang Li, José M. F. Moura
    http://arxiv.org/abs/1909.04019v1

    • [cs.LG]GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
    Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
    http://arxiv.org/abs/1909.03935v1

    • [cs.LG]HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
    Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
    http://arxiv.org/abs/1909.03228v1

    • [cs.LG]Incremental learning of environment interactive structures from trajectories of individuals
    Damian Campo, Vahid Bastani, Lucio Marcenaro, Carlo Regazzoni
    http://arxiv.org/abs/1909.03980v1

    • [cs.LG]Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
    Yuka Hashimoto, Isao Ishikaway, Masahiro Ikeday, Yoichi Matsuo, Yoshinobu Kawahara
    http://arxiv.org/abs/1909.03634v1

    • [cs.LG]L_DMI: An Information-theoretic Noise-robust Loss Function
    Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
    http://arxiv.org/abs/1909.03388v1

    • [cs.LG]Latent Multi-view Semi-Supervised Classification
    Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen
    http://arxiv.org/abs/1909.03712v1

    • [cs.LG]Learning Fair Rule Lists
    Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    http://arxiv.org/abs/1909.03977v1

    • [cs.LG]Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases
    Fabio Ferreira, Lin Shao, Tamim Asfour, Jeannette Bohg
    http://arxiv.org/abs/1909.03749v1

    • [cs.LG]Learning to Sample: an Active Learning Framework
    Jingyu Shao, Qing Wang, Fangbing Liu
    http://arxiv.org/abs/1909.03585v1

    • [cs.LG]Lecture Notes: Optimization for Machine Learning
    Elad Hazan
    http://arxiv.org/abs/1909.03550v1

    • [cs.LG]MEBF: a fast and efficient Boolean matrix factorization method
    Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
    http://arxiv.org/abs/1909.03991v1

    • [cs.LG]MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
    Xia Liang, Junmin Wu, Jing Cao
    http://arxiv.org/abs/1909.03522v1

    • [cs.LG]Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms
    Marco Virgolin, Ziyuan Wang, Tanja Alderliesten, Peter A. N. Bosman
    http://arxiv.org/abs/1909.03723v1

    • [cs.LG]Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation
    Wonsup Shin, Hyolim Kang, Sunghoon Hong
    http://arxiv.org/abs/1909.03200v1

    • [cs.LG]Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
    Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun
    http://arxiv.org/abs/1909.03211v1

    • [cs.LG]Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
    Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen
    http://arxiv.org/abs/1909.03204v1

    • [cs.LG]Nearly-Unsupervised Hashcode Representations for Relation Extraction
    Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi
    http://arxiv.org/abs/1909.03881v1

    • [cs.LG]Neural Architecture Search in Embedding Space
    Chun-Ting Liu
    http://arxiv.org/abs/1909.03615v1

    • [cs.LG]Off-Policy Evaluation in Partially Observable Environments
    Guy Tennenholtz, Shie Mannor, Uri Shalit
    http://arxiv.org/abs/1909.03739v1

    • [cs.LG]On Need for Topology Awareness of Generative Models
    Uyeong Jang, Susmit Jha, Somesh Jha
    http://arxiv.org/abs/1909.03334v1

    • [cs.LG]On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
    Wenbo Ren, Jia Liu, Ness B. Shroff
    http://arxiv.org/abs/1909.03194v1

    • [cs.LG]On the clustering of correlated random variables
    Zenon Gniazdowski, Dawid Kaliszewski
    http://arxiv.org/abs/1909.03332v1

    • [cs.LG]Optimal Function Approximation with Relu Neural Networks
    Bo Liu, Yi Liang
    http://arxiv.org/abs/1909.03731v1

    • [cs.LG]Order-free Learning Alleviating Exposure Bias in Multi-label Classification
    Che-Ping Tsai, Hung-Yi Lee
    http://arxiv.org/abs/1909.03434v1

    • [cs.LG]Outlier Detection in High Dimensional Data
    Firuz Kamalov, Ho Hon Leung
    http://arxiv.org/abs/1909.03681v1

    • [cs.LG]Parameter Tuning for Self-optimizing Software at Scale
    Dmytro Pukhkaiev, Uwe Aßmann
    http://arxiv.org/abs/1909.03814v1

    • [cs.LG]Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
    Peng Liao, Kristjan Greenewald, Predrag Klasnja, Susan Murphy
    http://arxiv.org/abs/1909.03539v1

    • [cs.LG]Policy Space Identification in Configurable Environments
    Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
    http://arxiv.org/abs/1909.03984v1

    • [cs.LG]Real Time Trajectory Prediction Using Deep Conditional Generative Models
    Sebastian Gomez-Gonzalez, Sergey Prokudin, Bernhard Scholkopf, Jan Peters
    http://arxiv.org/abs/1909.03895v1

    • [cs.LG]Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
    Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang
    http://arxiv.org/abs/1909.03245v1

    • [cs.LG]Scheduling optimization of parallel linear algebra algorithms using Supervised Learning
    G. Laberge, S. Shirzad, P. Diehl, H. Kaiser, S. Prudhomme, A. Lemoine
    http://arxiv.org/abs/1909.03947v1

    • [cs.LG]Self-driving scale car trained by Deep reinforcement Learning
    Qi Zhang, Tao Du
    http://arxiv.org/abs/1909.03467v1

    • [cs.LG]Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
    Wenjie Shi, Shiji Song, Cheng Wu
    http://arxiv.org/abs/1909.03198v1

    • [cs.LG]Solving Continual Combinatorial Selection via Deep Reinforcement Learning
    Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi
    http://arxiv.org/abs/1909.03638v1

    • [cs.LG]Static force field representation of environments based on agents nonlinear motions
    Damian Campo, Alejandro Betancourt, Lucio Marcenaro, Carlo Regazzoni
    http://arxiv.org/abs/1909.04010v1

    • [cs.LG]TorchGAN: A Flexible Framework for GAN Training and Evaluation
    Avik Pal, Aniket Das
    http://arxiv.org/abs/1909.03410v1

    • [cs.LG]Towards Understanding the Importance of Noise in Training Neural Networks
    Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
    http://arxiv.org/abs/1909.03172v1

    • [cs.LG]Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
    Jianjun Yuan, Andrew Lamperski
    http://arxiv.org/abs/1909.03118v1

    • [cs.LG]Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space
    Vlad Pushkarov, Jonathan Efroni, Mykola Maksymenko, Maciej Koch-Janusz
    http://arxiv.org/abs/1909.04013v1

    • [cs.LG]Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness
    Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
    http://arxiv.org/abs/1909.03500v1

    • [cs.LG]Transfer Reward Learning for Policy Gradient-Based Text Generation
    James O’ Neill, Danushka Bollegala
    http://arxiv.org/abs/1909.03622v1

    • [cs.LG]Transferable Neural Processes for Hyperparameter Optimization
    Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang
    http://arxiv.org/abs/1909.03209v1

    • [cs.LG]Transformer to CNN: Label-scarce distillation for efficient text classification
    Yew Ken Chia, Sam Witteveen, Martin Andrews
    http://arxiv.org/abs/1909.03508v1

    • [cs.LG]When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
    Gil Fidel, Ron Bitton, Asaf Shabtai
    http://arxiv.org/abs/1909.03418v1

    • [cs.LO]A dynamic epistemic logic analysis of the equality negation task
    Eric Goubault, Marijana Lazic, Jeremy Ledent, Sergio Rajsbaum
    http://arxiv.org/abs/1909.03263v1

    • [cs.LO]Learning Concepts Definable in First-Order Logic with Counting
    Steffen van Bergerem
    http://arxiv.org/abs/1909.03820v1

    • [cs.NE]A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
    Hokchhay Tann, Heng Zhao, Sherief Reda
    http://arxiv.org/abs/1909.03385v1

    • [cs.NE]Unlimited Budget Analysis of Randomised Search Heuristics
    Jun He, Thomas Jansen, Christine Zarges
    http://arxiv.org/abs/1909.03342v1

    • [cs.RO]A Convolutional Neural Network Approach Towards Self-Driving Cars
    Akhil Agnihotri, Prathamesh Saraf, Kriti Rajesh Bapnad
    http://arxiv.org/abs/1909.03854v1

    • [cs.RO]A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees
    Michael D. Paskett, Nathaniel R. Olsen, Jacob A. George, David T. Kluger, Mark R. Brinton, Tyler S. Davis, Christopher C. Duncan, Gregory A. Clark
    http://arxiv.org/abs/1909.03153v1

    • [cs.RO]Autonomous Underwater Vehicle: Electronics and Software Implementation of the Proton AUV
    Vivek Mange, Priyam Shah, Vishal Kothari
    http://arxiv.org/abs/1909.03472v1

    • [cs.RO]Belief Regulated Dual Propagation Nets for Learning Action Effects on Articulated Multi-Part Objects
    Ahmet E. Tekden, Aykut Erdem, Erkut Erdem, Mert Imre, M. Yunus Seker, Emre Ugur
    http://arxiv.org/abs/1909.03785v1

    • [cs.RO]Certified Grasping
    Bernardo Aceituno-Cabezas, José Ballester, Alberto Rodriguez
    http://arxiv.org/abs/1909.03985v1

    • [cs.RO]Control of Separable Subsystems with Application to Prostheses
    Rachel Gehlhar, Jenna Reher, Aaron D. Ames
    http://arxiv.org/abs/1909.03102v1

    • [cs.RO]DCAD: Decentralized Collision Avoidance with Dynamics Constraints for Agile Quadrotor Swarms
    Senthil Hariharan Arul, Dinesh Manocha
    http://arxiv.org/abs/1909.03961v1

    • [cs.RO]EU Long-term Dataset with Multiple Sensors for Autonomous Driving
    Zhi Yan, Li Sun, Tomas Krajnik, Yassine Ruichek
    http://arxiv.org/abs/1909.03330v1

    • [cs.RO]Ground truth force distribution for learning-based tactile sensing: a finite element approach
    Carmelo Sferrazza, Adam Wahlsten, Camill Trueeb, Raffaello D’Andrea
    http://arxiv.org/abs/1909.04000v1

    • [cs.RO]Local Sampling-based Planning with Sequential Bayesian Updates
    Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis
    http://arxiv.org/abs/1909.03452v1

    • [cs.RO]Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization
    Mingming Zhang, Xingxing Zuo, Yiming Chen, Mingyang Li
    http://arxiv.org/abs/1909.03423v1

    • [cs.RO]OptSample: A Resilient Buffer Management Policy for Robotic Systems based on Optimal Message Sampling
    Yu-Ping Wang, Zi-Xin Zou, Xu-Qiang Hu, Dinesh Manocha, Lei Qiao, Shi-Min Hu
    http://arxiv.org/abs/1909.03218v1

    • [cs.RO]Reality as a simulation of reality: robot illusions, fundamental limits, and a physical demonstration
    Dylan A. Shell, Jason M. O’Kane
    http://arxiv.org/abs/1909.03584v1

    • [cs.RO]Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle
    Barry Gilhuly, Stephen L. Smith
    http://arxiv.org/abs/1909.03304v1

    • [cs.RO]SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM
    Juan Jose Tarrio, Claus Smitt, Sol Pedre
    http://arxiv.org/abs/1909.03917v1

    • [cs.RO]ShapeBots: Shape-changing Swarm Robots
    Ryo Suzuki, Clement Zheng, Yasuaki Kakehi, Tom Yeh, Ellen Yi-Luen Do, Mark D. Gross, Daniel Leithinger
    http://arxiv.org/abs/1909.03372v1

    • [cs.RO]Time Series Motion Generation Considering Long Short-Term Motion
    Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji
    http://arxiv.org/abs/1909.03755v1

    • [cs.RO]Trunk Pitch Oscillations for Joint Load Redistribution in Humans and Humanoid Robots
    Özge Drama, Alexander Badri-Spröwitz
    http://arxiv.org/abs/1909.03687v1

    • [cs.RO]Virtual Fixture Assistance for Suturing in Robot-Aided Pediatric Endoscopic Surgery
    Murilo Marques Marinho, Hisashi Ishida, Kanako Harada, Kyoichi Deie, Mamoru Mitsuishi
    http://arxiv.org/abs/1909.03724v1

    • [cs.SE]Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
    Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, Yang Liu
    http://arxiv.org/abs/1909.03496v1

    • [cs.SI]A Generalized Configuration Model with Degree Correlations and Its Percolation Analysis
    Duan-Shin Lee, Cheng-Shang Chang, Miao Zhu, Hung-Chih Li
    http://arxiv.org/abs/1909.03448v1

    • [cs.SI]A complex network approach to political analysis: application to the Brazilian Chamber of Deputies
    Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio
    http://arxiv.org/abs/1909.02346v2

    • [cs.SI]An Experimental Study of Structural Diversity in Social Networks
    Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
    http://arxiv.org/abs/1909.03543v1

    • [cs.SI]Assessing Disaster Impacts on Highways Using Social Media: Case Study of Hurricane Harvey
    Yudi Chen, Qi Wang, Wenying Ji
    http://arxiv.org/abs/1909.03362v1

    • [cs.SI]Community Detection via Katz and Eigenvector Centrality
    Mark Ditsworth, Justin Ruths
    http://arxiv.org/abs/1909.03916v1

    • [cs.SI]Do you really follow them? Automatic detection of credulous Twitter users
    Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani
    http://arxiv.org/abs/1909.03851v1

    • [cs.SI]Kernel Node Embeddings
    Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
    http://arxiv.org/abs/1909.03416v1

    • [cs.SI]Multi-group connectivity structures and their implications
    Shadi Mohagheghi, Pushkarini Agharkar, Noah E. Friedkin, Francesco Bullo
    http://arxiv.org/abs/1909.03395v1

    • [cs.SI]The Future of Misinformation Detection: New Perspectives and Trends
    Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
    http://arxiv.org/abs/1909.03654v1

    • [eess.AS]DNN-based cross-lingual voice conversion using Bottleneck Features
    M Kiran Reddy, K Sreenivasa Rao
    http://arxiv.org/abs/1909.03974v1

    • [eess.AS]Evaluating Long-form Text-to-Speech: Comparing the Ratings of Sentences and Paragraphs
    Rob Clark, Hanna Silen, Tom Kenter, Ralph Leith
    http://arxiv.org/abs/1909.03965v1

    • [eess.IV]A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
    Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai
    http://arxiv.org/abs/1909.03647v1

    • [eess.IV]An Acceleration Framework for High Resolution Image Synthesis
    Jinlin Liu, Yuan Yao, Jianqiang Ren
    http://arxiv.org/abs/1909.03611v1

    • [eess.IV]Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
    Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
    http://arxiv.org/abs/1909.03483v1

    • [eess.IV]Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
    Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni
    http://arxiv.org/abs/1909.03748v1

    • [eess.IV]DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
    Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Parwant Ghuman, Irene Cheng
    http://arxiv.org/abs/1909.03120v1

    • [eess.IV]High Resolution Medical Image Analysis with Spatial Partitioning
    Le Hou, Youlong Cheng, Noam Shazeer, Niki Parmar, Yeqing Li, Panagiotis Korfiatis, Travis M. Drucker, Daniel J. Blezek, Xiaodan Song
    http://arxiv.org/abs/1909.03108v1

    • [eess.IV]LCSCNet: Linear Compressing Based Sk
    7b6
    ip-Connecting Network for Image Super-Resolution
    Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
    http://arxiv.org/abs/1909.03573v1

    • [eess.IV]Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
    Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor McCurley, Daniel Shats, Paul Gader
    http://arxiv.org/abs/1909.03316v1

    • [eess.SP]Bayesian Design of Sampling Set for Bandlimited Graph Signals
    Xuan Xie, Junhao Yu, Hui Feng, Bo Hu
    http://arxiv.org/abs/1909.03214v1

    • [eess.SP]Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series
    Shungo Takeuchi, Mikio Hasegawa, Kazutaka Kanno, Atsushi Uchida, Nicolas Chauvet, Makoto Naruse
    http://arxiv.org/abs/1909.03629v1

    • [eess.SP]Fast mmwave Beam Alignment via Correlated Bandit Learning
    Wen Wu, Nan Cheng, Ning Zhang, Peng Yang, Weihua Zhuang, Xuemin, Shen
    http://arxiv.org/abs/1909.03313v1

    • [eess.SP]Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson’s Disease using Deep Recurrent Neural Networks
    Spyroula Masiala, Willem Huijbers, Martin Atzmueller
    http://arxiv.org/abs/1909.03428v1

    • [eess.SP]Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study
    Milena Čukić Radenković, Victoria Lopez Lopez
    http://arxiv.org/abs/1909.03115v1

    • [eess.SP]Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
    kaisheng Liao, Guanhong Tao, Yi Zhong, Yaping Zhang, Zhenghong Zhang
    http://arxiv.org/abs/1909.03050v1

    • [eess.SY]Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains
    Florian Köpf, Alexander Nitsch, Michael Flad, Sören Hohmann
    http://arxiv.org/abs/1909.03868v1

    • [eess.SY]Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO
    V. T. Hoang, M. D. Phung, T. H. Dinh, Q. Zhu, Q. P. Ha
    http://arxiv.org/abs/1909.03352v1

    • [math.AT]Probabilistic Convergence and Stability of Random Mapper Graphs
    Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang
    http://arxiv.org/abs/1909.03488v1

    • [math.CT]The Essence of Petri Net Gluings
    Fabrizio Romano Genovese
    http://arxiv.org/abs/1909.03518v1

    • [math.NA]Calibration of a Fluid-Structure Problem with Keras
    Olivier Pironneau
    http://arxiv.org/abs/1909.03708v1

    • [math.OC]Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes
    Xialiang Dou, Mihai Anitescu
    http://arxiv.org/abs/1909.03433v1

    • [math.OC]Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
    Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani
    http://arxiv.org/abs/1909.03664v1

    • [math.OC]On the connections between algorithmic regularization and penalization for convex losses
    Qian Qian, Xiaoyuan Qian
    http://arxiv.org/abs/1909.03371v1

    • [math.OC]Sparse linear regression with compressed and low-precision data via concave quadratic programming
    Vito Cerone, Sophie M. Fosson, Diego Regruto
    http://arxiv.org/abs/1909.03705v1

    • [math.ST]A hypothesis-testing perspective on the G-normal distribution theory
    Shige Peng, Quan Zhou
    http://arxiv.org/abs/1909.03530v1

    • [math.ST]Community detection in inhomogeneous random graphs
    Kay Bogerd, Rui M. Castro, Remco van der Hofstad, Nicolas Verzelen
    http://arxiv.org/abs/1909.03217v1

    • [math.ST]Concentration of kernel matrices with application to kernel spectral clustering
    Arash A. Amini, Zahra S. Razaee
    http://arxiv.org/abs/1909.03347v1

    • [math.ST]Convergence of least squares estimators in the adaptive Wynn algorithm for a class of nonlinear regression models
    Fritjof Freise, Norbert Gaffke, Rainer Schwabe
    http://arxiv.org/abs/1909.03763v1

    • [math.ST]Inference In General Single-Index Models Under High-dimensional Symmetric Designs
    Hamid Eftekhari, Moulinath Banerjee, Ya’acov Ritov
    http://arxiv.org/abs/1909.03540v1

    • [math.ST]On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
    Tong Li, Ming Yuan
    http://arxiv.org/abs/1909.03302v1

    • [math.ST]The Alpha-Beta-Skew-Logistic Distribution And Its Applications
    Sricharan Shah, Partha Jyoti Hazarika
    http://arxiv.org/abs/1909.03651v1

    • [q-bio.QM]NuClick: From Clicks in the Nuclei to Nuclear Boundaries
    Mostafa Jahanifar, Navid Alemi Koohbanani, Nasir Rajpoot
    http://arxiv.org/abs/1909.03253v1

    • [q-fin.TR]Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning
    Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho
    http://arxiv.org/abs/1909.03278v1

    • [stat.AP]INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
    Alessandro Gasparini, Tim P. Morris, Michael J. Crowther
    http://arxiv.org/abs/1909.03813v1

    • [stat.AP]Multivariate spectral downscaling for PM2.5 species
    Yawen Guan, Brian J Reich, James A Mulholland, Howard H Chang
    http://arxiv.org/abs/1909.03816v1

    • [stat.CO]A direct Hamiltonian MCMC approach for reliability estimation
    Hamed Nikbakht, Konstantinos G. Papakonstantinou
    http://arxiv.org/abs/1909.03575v1

    • [stat.ME]Isotonic Distributional Regression
    Alexander Henzi, Johanna F. Ziegel, Tilmann Gneiting
    http://arxiv.org/abs/1909.03725v1

    • [stat.ME]Robust testing in generalized linear models by sign-flipping score contributions
    Jesse Hemerik, Jelle J Goeman, Livio Finos
    http://arxiv.org/abs/1909.03796v1

    • [stat.ME]Sampling Conditionally on a Rare Event via Generalized Splitting
    Zdravko I. Botev, Pierre L’Ecuyer
    http://arxiv.org/abs/1909.03566v1

    • [stat.ME]What is the value of experimentation & measurement?
    C. H. Bryan Liu, Benjamin Paul Chamberlain
    http://arxiv.org/abs/1909.03457v1

    • [stat.ML]Communication-Censored Distributed Stochastic Gradient Descent
    Weiyu Li, Tianyi Chen, Liping Li, Qing Ling
    http://arxiv.org/abs/1909.03631v1

    • [stat.ML]Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory
    Ajay Shanker Tripathi, Benjamin W. Domingue
    http://arxiv.org/abs/1909.03586v1

    • [stat.ML]Differential equations as models of deep neural networks
    Julius Ruseckas
    http://arxiv.org/abs/1909.03767v1

    • [stat.ML]Driver Identification via the Steering Wheel
    Bernhard Gahr, Shu Liu, Kevin Koch, Filipe Barata, André Dahlinger, Benjamin Ryder, Elgar Fleisch, Felix Wortmann
    http://arxiv.org/abs/1909.03953v1

    • [stat.ML]Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors
    Lev V. Utkin, Mikhail V. Kots, Viacheslav S. Chukanov
    http://arxiv.org/abs/1909.03894v1

    • [stat.ML]Iterative Spectral Method for Alternative Clustering
    Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David Kaeli, Jennifer G. Dy
    http://arxiv.org/abs/1909.03441v1

    • [stat.ML]Joint, Partially-joint, and Individual Independent Component Analysis in Multi-Subject fMRI Data
    Mansooreh Pakravan, Mohammad Bagher Shamsollahi
    http://arxiv.org/abs/1909.03676v1

    • [stat.ML]Relevance Matrix Factorization
    Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata
    http://arxiv.org/abs/1909.03601v1

    • [stat.ML]Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection
    Naoya Takeishi
    http://arxiv.org/abs/1909.03495v1

    • [stat.ML]Theory of Optimal Bayesian Feature Filtering
    Ali Foroughi pour, Lori A. Dalton
    http://arxiv.org/abs/1909.03637v1

    • [stat.ML]Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models
    Xinyi Liu, Artit Wangperawong
    http://arxiv.org/abs/1909.03564v1

    • [stat.OT]A new approach of chain sampling inspection plan
    Harsh Tripathi, Mahendra Saha
    http://arxiv.org/abs/1909.03784v1