cs.AI - 人工智能
cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report)
• [cs.AI]Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
• [cs.AI]Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
• [cs.AI]Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
• [cs.AI]Learning Query Inseparable ELH Ontologies
• [cs.AI]Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks
• [cs.AI]Opportunities for artificial intelligence in advancing precision medicine
• [cs.AI]Pattern-based design applied to cultural heritage knowledge graphs
• [cs.AI]Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art
• [cs.AI]Taming Reasoning in Temporal Probabilistic Relational Models
• [cs.AI]Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans
• [cs.AR]NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units
• [cs.CL]An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
• [cs.CL]Assigning Medical Codes at the Encounter Level by Paying Attention to Documents
• [cs.CL]AttaCut: A Fast and Accurate Neural Thai Word Segmenter
• [cs.CL]CNN-based Dual-Chain Models for Knowledge Graph Learning
• [cs.CL]Contribution au Niveau de l’Approche Indirecte à Base de Transfert dans la Traduction Automatique
• [cs.CL]Deep Learning versus Traditional Classifiers on Vietnamese Students’ Feedback Corpus
• [cs.CL]Dense and Deep Sarcasm Detection
• [cs.CL]Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
• [cs.CL]Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models
• [cs.CL]Evaluating robustness of language models for chief complaint extraction from patient-generated text
• [cs.CL]Experiments in Detecting Persuasion Techniques in the News
• [cs.CL]Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning
• [cs.CL]Graph Transformer for Graph-to-Sequence Learning
• [cs.CL]Improved Document Modelling with a Neural Discourse Parser
• [cs.CL]Learning Autocomplete Systems as a Communication Game
• [cs.CL]Multi-Zone Unit for Recurrent Neural Networks
• [cs.CL]Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
• [cs.CL]Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition
• [cs.CL]Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
• [cs.CL]Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
• [cs.CL]Short Text Language Identification for Under Resourced Languages
• [cs.CL]Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
• [cs.CR]Hacking Neural Networks: A Short Introduction
• [cs.CV]2nd Place Solution in Google AI Open Images Object Detection Track 2019
• [cs.CV]AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
• [cs.CV]AI-based Pilgrim Detection using Convolutional Neural Networks
• [cs.CV]AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
• [cs.CV]Action Anticipation with RBF KernelizedFeature Mapping RNN
• [cs.CV]Affine Self Convolution
• [cs.CV]Aging Deep Face Features: Finding Missing Children
• [cs.CV]All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network
• [cs.CV]Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
• [cs.CV]Automatic Image Co-Segmentation: A Survey
• [cs.CV]BSP-Net: Generating Compact Meshes via Binary Space Partitioning
• [cs.CV]Bias-Aware Heapified Policy for Active Learning
• [cs.CV]Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation
• [cs.CV]Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
• [cs.CV]Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
• [cs.CV]Countering Inconsistent Labelling by Google’s Vision API for Rotated Images
• [cs.CV]Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
• [cs.CV]DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification
• [cs.CV]Defensive Few-shot Adversarial Learning
• [cs.CV]Dense Color Constancy with Effective Edge Augmentation
• [cs.CV]Detecting F-formations & Roles in Crowded Social Scenes with Wearables: Combining Proxemics & Dynamics using LSTMs
• [cs.CV]DirectPose: Direct End-to-End Multi-Person Pose Estimation
• [cs.CV]Distributed Low Precision Training Without Mixed Precision
• [cs.CV]Distribution Context Aware Loss for Person Re-identification
• [cs.CV]Domain Generalization Using a Mixture of Multiple Latent Domains
• [cs.CV]DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
• [cs.CV]Dynamic Instance Normalization for Arbitrary Style Transfer
• [cs.CV]ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
• [cs.CV]Effectively Unbiased FID and Inception Score and where to find them
• [cs.CV]Extra Proximal-Gradient Inspired Non-local Network
• [cs.CV]FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
• [cs.CV]Fast 3D Pose Refinement with RGB Images
• [cs.CV]Fast Color Constancy with Patch-wise Bright Pixels
• [cs.CV]Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
• [cs.CV]Fine-Grained Neural Architecture Search
• [cs.CV]GLMNet: Graph Learning-Matching Networks for Feature Matching
• [cs.CV]Grounding Human-to-Vehicle Advice for Self-driving Vehicles
• [cs.CV]Instance Shadow Detection
• [cs.CV]Ladder Loss for Coherent Visual-Semantic Embedding
• [cs.CV]Large Scale Open-Set Deep Logo Detection
• [cs.CV]Learning Similarity Attention
• [cs.CV]Learning to Predict More Accurate Text Instances for Scene Text Detection
• [cs.CV]Learning to Synthesize Fashion Textures
• [cs.CV]Learning with Hierarchical Complement Objective
• [cs.CV]Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
• [cs.CV]Long Range 3D with Quadocular Thermal (LWIR) Camera
• [cs.CV]Maintaining Discrimination and Fairness in Class Incremental Learning
• [cs.CV]MaskedFusion: Mask-based 6D Object Pose Detection
• [cs.CV]Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
• [cs.CV]Modeling Gestalt Visual Reasoning on the Raven’s Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques
• [cs.CV]Multi-Task Learning of Height and Semantics from Aerial Images
• [cs.CV]Multiple Style-Transfer in Real-Time
• [cs.CV]On the well-posedness of uncalibrated photometric stereo under general lighting
• [cs.CV]Optimized CNN for PolSAR Image Classification via Differentiable Neural Architecture Search
• [cs.CV]Oriented Boxes for Accurate Instance Segmentation
• [cs.CV]Potential Field: Interpretable and Unified Representation for Trajectory Prediction
• [cs.CV]Preparing Lessons: Improve Knowledge Distillation with Better Supervision
• [cs.CV]Putting visual object recognition in context
• [cs.CV]Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
• [cs.CV]Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
• [cs.CV]S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
• [cs.CV]SA-Text: Simple but Accurate Detector for Text of Arbitrary Shapes
• [cs.CV]SMART: Skeletal Motion Action Recognition aTtack
• [cs.CV]SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
• [cs.CV]Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
• [cs.CV]Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
• [cs.CV]SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
• [cs.CV]Signal Clustering with Class-independent Segmentation
• [cs.CV]Signed Input Regularization
• [cs.CV]TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution
• [cs.CV]The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
• [cs.CV]The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
• [cs.CV]Towards Robust RGB-D Human Mesh Recovery
• [cs.CV]Towards Visually Explaining Variational Autoencoders
• [cs.CV]Towards the Automation of Deep Image Prior
• [cs.CV]Transductive Zero-Shot Hashing for Multi-Label Image Retrieval
• [cs.CV]Unsupervised Deep Metric Learning via Auxiliary Rotation Loss
• [cs.CV]Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
• [cs.CV]Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
• [cs.CV]Unsupervised Representation Learning by Discovering Reliable Image Relations
• [cs.CV]Unsupervised Representation Learning for Gaze Estimation
• [cs.CV]Unsupervised Visual Representation Learning with Increasing Object Shape Bias
• [cs.CV]Weakly Supervised Object Localization with Inter-Intra Regulated CAMs
• [cs.CY]Adaptive Learning Guidance System (ALGS)
• [cs.DB]IDEALEM: Statistical Similarity Based Data Reduction
• [cs.DB]Using Mapping Languages for Building Legal Knowledge Graphs from XML Files
• [cs.DC]A Code injection Method for Rapid Docker Image Building
• [cs.DC]Distributed Machine Learning through Heterogeneous Edge Systems
• [cs.DC]Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
• [cs.DC]Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs
• [cs.DM]Optimal adaptive group testing
• [cs.DS]Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning
• [cs.DS]Sparse Hopsets in Congested Clique
• [cs.DS]Testing Properties of Multiple Distributions with Few Samples
• [cs.GT]Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
• [cs.HC]A Sketch-Based System for Human-Guided Constrained Object Manipulation
• [cs.HC]Developing a Scenario-Based Video Game Generation Framework: Preliminary Results
• [cs.IR]A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
• [cs.IR]Common Artist Music Assistance
• [cs.IR]Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
• [cs.IR]Quels corpus d’entraînement pour l’expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels
• [cs.IR]Rumor Detection on Social Media: Datasets, Methods and Opportunities
• [cs.IT]Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning
• [cs.IT]Degrees of Freedom of Holographic MIMO Channels
• [cs.IT]Demand-Private Coded Caching and the Exact Trade-off for N=K=2
• [cs.IT]Deterministic partial binary circulant compressed sensing matrices
• [cs.IT]Finding the Exact Distribution of (Peak) Age of Information for Queues of PH/PH/1/1 and M/PH/1/2 Type
• [cs.IT]Identify Equivalent Frames
• [cs.IT]Learning The MMSE Channel Predictor
• [cs.IT]Locally recoverable $J$-affine variety codes
• [cs.IT]Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
• [cs.IT]On one-stage recovery for $ΣΔ$-quantized compressed sensing
• [cs.IT]On q-ary Bent and Plateaued Functions
• [cs.IT]On the Age of Information in Multi-Source Queueing Models
• [cs.IT]On the Hamming distances of repeated-root cyclic codes of length $5p^s$
• [cs.IT]Optimal deployments of UAVs with directional antennas for a power-efficient coverage
• [cs.IT]Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach
• [cs.IT]Projection decoding of some binary optimal linear codes of lengths 36 and 40
• [cs.IT]Quantized Compressed Sensing by Rectified Linear Units
• [cs.IT]RIP constants for deterministic compressed sensing matrices-beyond Gershgorin
• [cs.IT]Secure Communication for Spatially Sparse Millimeter-Wave Massive MIMO Channels via Hybrid Precoding
• [cs.IT]Sparse Bayesian Multi-Task Learning of Time-Varying Massive MIMO Channels with Dynamic Filtering
• [cs.IT]Study of Non-Uniform Channel Polarization and Design of Polar Codes with Arbitrary Rates
• [cs.IT]The Parameters of Minimal Linear Codes
• [cs.IT]Throughput Maximization with an Average Age of Information Constraint in Fading Channels
• [cs.IT]Two-weight codes over the integers modulo a prime power
• [cs.LG]$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
• [cs.LG]A Graph Autoencoder Approach to Causal Structure Learning
• [cs.LG]A Multi-Task Gradient Descent Method for Multi-Label Learning
• [cs.LG]A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
• [cs.LG]An “outside the box” solution for imbalanced data classification
• [cs.LG]An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms
• [cs.LG]An explanation method for Siamese neural networks
• [cs.LG]Any-Precision Deep Neural Networks
• [cs.LG]Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series
• [cs.LG]Benanza: Automatic uBenchmark Generation to Compute “Lower-bound” Latency and Inform Optimizations of Deep Learning Models on GPUs
• [cs.LG]Binary Sine Cosine Algorithms for Feature Selection from Medical Data
• [cs.LG]Black-Box Adversarial Attack with Transferable Model-based Embedding
• [cs.LG]Causality-based Feature Selection: Methods and Evaluations
• [cs.LG]Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
• [cs.LG]Convex Formulation of Overparameterized Deep Neural Networks
• [cs.LG]Coverage Testing of Deep Learning Models using Dataset Characterization
• [cs.LG]Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
• [cs.LG]Deep geometric matrix completion: Are we doing it right?
• [cs.LG]Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
• [cs.LG]Encouraging an Appropriate Representation Simplifies Training of Neural Networks
• [cs.LG]Explanatory Masks for Neural Network Interpretability
• [cs.LG]Fast Machine Learning with Byzantine Workers and Servers
• [cs.LG]Feedback Control for Online Training of Neural Networks
• [cs.LG]Gamma-Nets: Generalizing Value Estimation over Timescale
• [cs.LG]Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
• [cs.LG]GraLSP: Graph Neural Networks with Local Structural Patterns
• [cs.LG]Graph Neural Ordinary Differential Equations
• [cs.LG]Graph-Revised Convolutional Network
• [cs.LG]Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity
• [cs.LG]Hebbian Synaptic Modifications in Spiking Neurons that Learn
• [cs.LG]Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
• [cs.LG]Inductive Relation Prediction on Knowledge Graphs
• [cs.LG]Influence-aware Memory for Deep Reinforcement Learning
• [cs.LG]Information-Theoretic Perspective of Federated Learning
• [cs.LG]Inverse Reinforcement Learning with Missing Data
• [cs.LG]Justification-Based Reliability in Machine Learning
• [cs.LG]Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
• [cs.LG]Learning Behavioral Representations from Wearable Sensors
• [cs.LG]Loss Aware Post-training Quantization
• [cs.LG]Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare
• [cs.LG]NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
• [cs.LG]Neural Recurrent Structure Search for Knowledge Graph Embedding
• [cs.LG]Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift
• [cs.LG]On Value Discrepancy of Imitation Learning
• [cs.LG]Online Adaptive Asymmetric Active Learning with Limited Budgets
• [cs.LG]Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
• [cs.LG]Prototypical Networks for Multi-Label Learning
• [cs.LG]Provable Filter Pruning for Efficient Neural Networks
• [cs.LG]Query Complexity of Bayesian Private Learning
• [cs.LG]RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
• [cs.LG]Rebalancing Learning on Evolving Data Streams
• [cs.LG]Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
• [cs.LG]Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
• [cs.LG]RotationOut as a Regularization Method for Neural Network
• [cs.LG]Safe squeezing for antisparse coding
• [cs.LG]Selective sampling for accelerating training of deep neural networks
• [cs.LG]Smoothed Inference for Adversarially-Trained Models
• [cs.LG]Sparse $\ell_1$ and $\ell_2$ Center Classifiers
• [cs.LG]Suspicion-Free Adversarial Attacks on Clustering Algorithms
• [cs.LG]SySCD: A System-Aware Parallel Coordinate Descent Algorithm
• [cs.LG]The Effectiveness of Variational Autoencoders for Active Learning
• [cs.LG]The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction
• [cs.LG]The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
• [cs.LG]Towards Making Deep Transfer Learning Never Hurt
• [cs.LG]Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction
• [cs.LG]Understanding and Improving Layer Normalization
• [cs.LG]VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
• [cs.LG]Vulnerability Analysis for Data Driven Pricing Schemes
• [cs.LG]Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck
• [cs.LG]What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
• [cs.LG]Working Memory Graphs
• [cs.MM]Parametric Graph-based Separable Transforms for Video Coding
• [cs.MM]Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling
• [cs.MS]Semi-Automatic Task Graph Construction for $\mathcal{H}$-Matrix Arithmetic
• [cs.NE]ImmuNeCS: Neural Committee Search by an Artificial Immune System
• [cs.NE]Particle Swarm and EDAs
• [cs.NI]Caching Techniques to Improve Latency in Serverless Architectures
• [cs.NI]Profile-based Resource Allocation for Virtualized Network Functions
• [cs.NI]The geopolitics behind the routes data travels: a case study of Iran
• [cs.PF]Understanding Open Source Serverless Platforms: Design Considerations and Performance
• [cs.PL]PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms
• [cs.RO]A Hierarchical Framework to Generate Robust Biped Locomotion Based on Divergent Component of Motion
• [cs.RO]A gamified simulator and physical platform for self-driving algorithm training and validation
• [cs.RO]Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
• [cs.RO]Design of the First Insect-scale Spinning-wing Robot
• [cs.RO]Development of MirrorShape: High Fidelity Large-Scale Shape Rendering Framework for Virtual Reality
• [cs.RO]Fast 2D Map Matching Based on Area Graphs
• [cs.RO]Flexoskeleton printing for versatile insect-inspired robots
• [cs.RO]Ground and Non-Ground Separation Filter for UAV Lidar Point Cloud
• [cs.RO]IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
• [cs.RO]Object Finding in Cluttered Scenes Using Interactive Perception
• [cs.RO]Optimal Control of a Differentially Flat 2D Spring-Loaded Inverted Pendulum Model
• [cs.RO]Robotic Sculpting with Collision-free Motion Planning in Voxel Space
• [cs.RO]Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization
• [cs.SE]patch2vec: Distributed Representation of Code Changes
• [cs.SI]A First Look at References from the Dark to Surface Web World
• [cs.SI]An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach
• [cs.SI]An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
• [cs.SI]Large-Scale Parallel Matching of Social Network Profiles
• [cs.SI]Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
• [cs.SI]Towards Automated Sexual Violence Report Tracking
• [econ.EM]Causal Inference Under Approximate Neighborhood Interference
• [econ.EM]Inference in Models of Discrete Choice with Social Interactions Using Network Data
• [econ.EM]Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables
• [eess.IV]Automated Human Claustrum Segmentation using Deep Learning Technologies
• [eess.IV]Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
• [eess.IV]Kvasir-SEG: A Segmented Polyp Dataset
• [eess.IV]Liver Steatosis Segmentation with Deep Learning Methods
• [eess.IV]Low-Weight and Learnable Image Denoising
• [eess.IV]Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
• [eess.IV]Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing
• [eess.IV]On Space-spectrum Uncertainty Analysis for Coded Aperture Systems
• [eess.IV]Quality Assessment of DIBR-synthesized views: An Overview
• [eess.IV]ResUNet++: An Advanced Architecture for Medical Image Segmentation
• [eess.IV]Skin Lesion Classification Using Deep Neural Network
• [eess.IV]Transfer Learning of fMRI Dynamics
• [eess.SP]A Novel Content Caching and Delivery Scheme for Millimeter Wave Device-to-Device Communications
• [eess.SP]Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
• [eess.SP]Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis
• [eess.SP]FFDNet-Based Channel Estimation for Massive MIMO Visible Light Communication Systems
• [eess.SP]Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
• [eess.SP]Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
• [eess.SP]Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks
• [eess.SY]Fixed-horizon Active Hypothesis Testing
• [eess.SY]General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks
• [eess.SY]Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)
• [eess.SY]Safe Interactive Model-Based Learning
• [eess.SY]Steady-State Control and Machine Learning of Large-Scale Deformable Mirror Models
• [math.OC]Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
• [math.OC]Coordinate-wise Armijo’s condition
• [math.OC]Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set
• [math.OC]Online Learning and Matching for Resource Allocation Problems
• [math.ST]Detecting structural breaks in eigensystems of functional time series
• [math.ST]Goodness-of-fit Testing in Linear Regression Models
• [math.ST]Graph Topological Aspects of Granger Causal Network Learning
• [math.ST]Graph estimation for Gaussian data zero-inflated by double truncation
• [math.ST]Maximum Approximate Likelihood Estimation in Accelerated Failure Time Model for Interval-Censored Data
• [math.ST]Oracle inequalities for image denoising with total variation regularization
• [quant-ph]Quantifying the unextendibility of entanglement
• [quant-ph]Universal superposition codes: capacity regions of compound quantum broadcast channel with confidential messages
• [stat.AP]A spatio-temporal multi-scale model for Geyer saturation point process: application to forest fire occurrences
• [stat.AP]Granular Motor State Monitoring of Free Living Parkinson’s Disease Patients via Deep Learning
• [stat.AP]Predicting colorectal polyp recurrence using time-to-event analysis of medical records
• [stat.AP]Spatiotemporal large-scale networks shaped by air mass movements
• [stat.AP]The implications of Labour’s plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England
• [stat.CO]Bayesian Model Selection for Ultrahigh-Dimensional Doubly-Intractable Distributions with an Application to Network Psychometrics
• [stat.CO]DRHotNet: An R package for detecting differential risk hotspots on a linear network
• [stat.ME]A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks
• [stat.ME]A Permutation Test for Assessing the Presence of Individual Differences in Treatment Effects
• [stat.ME]A hierarchical expected improvement method for Bayesian optimization
• [stat.ME]A projection approach for multiple monotone regression
• [stat.ME]Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
• [stat.ME]Causal inference with recurrent data via inverse probability treatment weighting method (IPTW)
• [stat.ME]Change point localization in dependent dynamic nonparametric random dot product graphs
• [stat.ME]Constrained High Dimensional Statistical Inference
• [stat.ME]Does Regression Approximate the Influence of the Covariates or Just Measurement Errors? A Model Validity Test
• [stat.ME]Marginal and Interactive Feature Screening of Ultra-high Dimensional Feature Spaces with Multivariate Response
• [stat.ME]Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks
• [stat.ME]Partial Least Squares for Functional Joint Models
• [stat.ME]State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
• [stat.ME]Testing for Stochastic Order in Interval-Valued Data
• [stat.ME]Variance partitioning in multilevel models for count data
• [stat.ME]Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration
• [stat.ML]A Simple Heuristic for Bayesian Optimization with A Low Budget
• [stat.ML]Benchmarking time series classification — Functional data vs machine learning approaches
• [stat.ML]Defending Against Model Stealing Attacks with Adaptive Misinformation
• [stat.ML]Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference
• [stat.ML]Learning with Good Feature Representations in Bandits and in RL with a Generative Model
• [stat.ML]Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
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• [cs.AI]Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report)
Efthymia Tsamoura, Victor Gutierrez-Basulto, Angelika Kimmig
http://arxiv.org/abs/1911.07750v1
• [cs.AI]Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth Forbus, Achille Fokoue
http://arxiv.org/abs/1911.06904v1
• [cs.AI]Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
http://arxiv.org/abs/1911.07712v1
• [cs.AI]Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich
http://arxiv.org/abs/1911.06992v1
• [cs.AI]Learning Query Inseparable ELH Ontologies
Cosimo Persia, Ana Ozaki, Andrea Mazzullo
http://arxiv.org/abs/1911.07229v1
• [cs.AI]Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks
Ahmed Imteaj, M. Hadi Amini, Javad Mohammadi
http://arxiv.org/abs/1911.07690v1
• [cs.AI]Opportunities for artificial intelligence in advancing precision medicine
Fabian V. Filipp
http://arxiv.org/abs/1911.07125v1
• [cs.AI]Pattern-based design applied to cultural heritage knowledge graphs
Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli, Andrea Giovanni Nuzzolese, Valentina Presutti, Chiara Veninata
http://arxiv.org/abs/1911.07585v1
• [cs.AI]Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art
Owain Evans
http://arxiv.org/abs/1911.07068v1
• [cs.AI]Taming Reasoning in Temporal Probabilistic Relational Models
Marcel Gehrke, Ralf Möller, Tanya Braun
http://arxiv.org/abs/1911.07040v1
• [cs.AI]Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans
Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
http://arxiv.org/abs/1911.07318v1
• [cs.AR]NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units
Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu
http://arxiv.org/abs/1911.06859v1
• [cs.CL]An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Takuma Udagawa, Akiko Aizawa
http://arxiv.org/abs/1911.07588v1
• [cs.CL]Assigning Medical Codes at the Encounter Level by Paying Attention to Documents
Han-Chin Shing, Guoli Wang, Philip Resnik
http://arxiv.org/abs/1911.06848v1
• [cs.CL]AttaCut: A Fast and Accurate Neural Thai Word Segmenter
Pattarawat Chormai, Ponrawee Prasertsom, Attapol Rutherford
http://arxiv.org/abs/1911.07056v1
• [cs.CL]CNN-based Dual-Chain Models for Knowledge Graph Learning
Bo Peng, Renqiang Min, Xia Ning
http://arxiv.org/abs/1911.06910v1
• [cs.CL]Contribution au Niveau de l’Approche Indirecte à Base de Transfert dans la Traduction Automatique
Sadik Bessou
http://arxiv.org/abs/1911.07030v1
• [cs.CL]Deep Learning versus Traditional Classifiers on Vietnamese Students’ Feedback Corpus
Phu X. V. Nguyen, Tham T. T. Hong, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/1911.07223v1
• [cs.CL]Dense and Deep Sarcasm Detection
Devin Pelser, Hugh Murrell
http://arxiv.org/abs/1911.07474v1
• [cs.CL]Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
http://arxiv.org/abs/1911.07819v1
• [cs.CL]Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models
Binh An Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/1911.07228v1
• [cs.CL]Evaluating robustness of language models for chief complaint extraction from patient-generated text
Ilya Valmianski, Caleb Goodwin, Ian M. Finn, Naqi Khan, Daniel S. Zisook
http://arxiv.org/abs/1911.06915v1
• [cs.CL]Experiments in Detecting Persuasion Techniques in the News
Seunghak Yu, Giovanni Da San Martino, Preslav Nakov
http://arxiv.org/abs/1911.06815v1
• [cs.CL]Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning
Ramtine Tofighi-Shirazi, Irina Mariuca Asavoae, Philippe Elbaz-Vincent
http://arxiv.org/abs/1911.07523v1
• [cs.CL]Graph Transformer for Graph-to-Sequence Learning
Deng Cai, Wai Lam
http://arxiv.org/abs/1911.07470v1
• [cs.CL]Improved Document Modelling with a Neural Discourse Parser
Fajri Koto, Jey Han Lau, Timothy Baldwin
http://arxiv.org/abs/1911.06919v1
• [cs.CL]Learning Autocomplete Systems as a Communication Game
Mina Lee, Tatsunori B. Hashimoto, Percy Liang
http://arxiv.org/abs/1911.06964v1
• [cs.CL]Multi-Zone Unit for Recurrent Neural Networks
Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
http://arxiv.org/abs/1911.07184v1
• [cs.CL]Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Qiang Huang, Jianhui Bu, Weijian Xie, Shengwen Yang, Weijia Wu, Liping Liu
http://arxiv.org/abs/1911.07405v1
• [cs.CL]Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
http://arxiv.org/abs/1911.07335v1
• [cs.CL]Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
Vikas Yadav, Steven Bethard, Mihai Surdeanu
http://arxiv.org/abs/1911.07176v1
• [cs.CL]Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
Mantong Zhou, Minlie Huang, Xiaoyan Zhu
http://arxiv.org/abs/1911.06948v1
• [cs.CL]Short Text Language Identification for Under Resourced Languages
Bernardt Duvenhage
http://arxiv.org/abs/1911.07555v1
• [cs.CL]Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu, Zhen-Hua Ling, Quan Liu
http://arxiv.org/abs/1911.06940v1
• [cs.CR]Hacking Neural Networks: A Short Introduction
Michael Kissner
http://arxiv.org/abs/1911.07658v1
• [cs.CV]2nd Place Solution in Google AI Open Images Object Detection Track 2019
Ruoyu Guo, Cheng Cui, Yuning Du, Xianglong Meng, Xiaodi Wang, Jingwei Liu, Jianfeng Zhu, Yuan Feng, Shumin Han
http://arxiv.org/abs/1911.07171v1
• [cs.CV]AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi
http://arxiv.org/abs/1911.07004v1
• [cs.CV]AI-based Pilgrim Detection using Convolutional Neural Networks
Marwa Ben Jabra, Adel Ammar, Anis Koubaa, Omar Cheikhrouhou, Habib Hamam
http://arxiv.org/abs/1911.07509v1
• [cs.CV]AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A N Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler
http://arxiv.org/abs/1911.07783v1
• [cs.CV]Action Anticipation with RBF KernelizedFeature Mapping RNN
Yuge Shi, Basura Fernando, Richard Hartley
http://arxiv.org/abs/1911.07806v1
• [cs.CV]Affine Self Convolution
Nichita Diaconu, Daniel E Worrall
http://arxiv.org/abs/1911.07704v1
• [cs.CV]Aging Deep Face Features: Finding Missing Children
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
http://arxiv.org/abs/1911.07538v1
• [cs.CV]All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network
Kamran Ali, Charles E. Hughes
http://arxiv.org/abs/1911.07050v1
• [cs.CV]Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
Robert Grupp, Mathias Unberath, Cong Gao, Rachel Hegeman, Ryan Murphy, Clayton Alexander, Yoshito Otake, Benjamin McArthur, Mehran Armand, Russell Taylor
http://arxiv.org/abs/1911.07042v1
• [cs.CV]Automatic Image Co-Segmentation: A Survey
Xiabi Liu, Xin Duan
http://arxiv.org/abs/1911.07685v1
• [cs.CV]BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
http://arxiv.org/abs/1911.06971v1
• [cs.CV]Bias-Aware Heapified Policy for Active Learning
Wen-Yen Chang, Wen-Huan Chiang, Shao-Hao Lu, Tingfan Wu, Min Sun
http://arxiv.org/abs/1911.07574v1
• [cs.CV]Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation
Cheol-hwan Yoo, Seung-wook Kim, Seo-won Ji, Yong-goo Shin, Sung-jea Ko
http://arxiv.org/abs/1911.07424v1
• [cs.CV]Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, HangYan, Zichu Fei, Xuanjing Huang
http://arxiv.org/abs/1911.07518v1
• [cs.CV]Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
Tsu-Jui Fu, Xin Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein, William Yang Wang
http://arxiv.org/abs/1911.07308v1
• [cs.CV]Countering Inconsistent Labelling by Google’s Vision API for Rotated Images
Aman Apte, Aritra Bandyopadhyay, K Akhilesh Shenoy, Jason Peter Andrews, Aditya Rathod, Manish Agnihotri, Aditya Jajodia
http://arxiv.org/abs/1911.07201v1
• [cs.CV]Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
http://arxiv.org/abs/1911.07421v1
• [cs.CV]DeepPFCN: Deep Parallel Feature Consensus Network For Person Re-Identification
Shubham Kumar Singh, Krishna P Miyapuram, Shanmuganathan Raman
http://arxiv.org/abs/1911.07776v1
• [cs.CV]Defensive Few-shot Adversarial Learning
Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo
http://arxiv.org/abs/1911.06968v1
• [cs.CV]Dense Color Constancy with Effective Edge Augmentation
Yilang Zhang, Zheng Wei, Jian Wang, Xin Yuan
http://arxiv.org/abs/1911.07163v1
• [cs.CV]Detecting F-formations & Roles in Crowded Social Scenes with Wearables: Combining Proxemics & Dynamics using LSTMs
Alessio Rosatelli, Ekin Gedik, Hayley Hung
http://arxiv.org/abs/1911.07279v1
• [cs.CV]DirectPose: Direct End-to-End Multi-Person Pose Estimation
Zhi Tian, Hao Chen, Chunhua Shen
http://arxiv.org/abs/1911.07451v1
• [cs.CV]Distributed Low Precision Training Without Mixed Precision
Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz
http://arxiv.org/abs/1911.07384v1
• [cs.CV]Distribution Context Aware Loss for Person Re-identification
Zhigang Chang, Qin Zhou, Mingyang Yu, Shibao Zheng, Hua Yang, Tai-Pang Wu
http://arxiv.org/abs/1911.07273v1
• [cs.CV]Domain Generalization Using a Mixture of Multiple Latent Domains
Toshihiko Matsuura, Tatsuya Harada
http://arxiv.org/abs/1911.07661v1
• [cs.CV]DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang, Xingxing Zhang, Yue Hu, Qi Wu
http://arxiv.org/abs/1911.07251v1
• [cs.CV]Dynamic Instance Normalization for Arbitrary Style Transfer
Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen
http://arxiv.org/abs/1911.06953v1
• [cs.CV]ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
Harald Hanselmann, Hermann Ney
http://arxiv.org/abs/1911.07344v1
• [cs.CV]Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong, David Forsyth
http://arxiv.org/abs/1911.07023v1
• [cs.CV]Extra Proximal-Gradient Inspired Non-local Network
Qingchao Zhang, Yunmei Chen
http://arxiv.org/abs/1911.07144v1
• [cs.CV]FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia
http://arxiv.org/abs/1911.07559v1
• [cs.CV]Fast 3D Pose Refinement with RGB Images
Abhinav Jain, Frank Dellaert
http://arxiv.org/abs/1911.07347v1
• [cs.CV]Fast Color Constancy with Patch-wise Bright Pixels
Yiyao Shi, Jian Wang, Xiangyang Xue
http://arxiv.org/abs/1911.07177v1
• [cs.CV]Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
http://arxiv.org/abs/1911.06987v1
• [cs.CV]Fine-Grained Neural Architecture Search
Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee
http://arxiv.org/abs/1911.07478v1
• [cs.CV]GLMNet: Graph Learning-Matching Networks for Feature Matching
Bo Jiang, Pengfei Sun, Jin Tang, Bin Luo
http://arxiv.org/abs/1911.07681v1
• [cs.CV]Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny
http://arxiv.org/abs/1911.06978v1
• [cs.CV]Instance Shadow Detection
Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu
http://arxiv.org/abs/1911.07034v1
• [cs.CV]Ladder Loss for Coherent Visual-Semantic Embedding
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua
http://arxiv.org/abs/1911.07528v1
• [cs.CV]Large Scale Open-Set Deep Logo Detection
Muhammet Bastan, Hao-Yu Wu, Tian Cao, Bhargava Kota, Mehmet Tek
http://arxiv.org/abs/1911.07440v1
• [cs.CV]Learning Similarity Attention
Meng Zheng, Srikrishna Karanam, Terrence Chen, Richard J. Radke, Ziyan Wu
http://arxiv.org/abs/1911.07381v1
• [cs.CV]Learning to Predict More Accurate Text Instances for Scene Text Detection
XiaoQian Li, Jie Liu, ShuWu Zhang, GuiXuan Zhang
http://arxiv.org/abs/1911.07423v1
• [cs.CV]Learning to Synthesize Fashion Textures
Wu Shi, Tak-Wai Hui, Ziwei Liu, Dahua Lin, Chen Change Loy
http://arxiv.org/abs/1911.07472v1
• [cs.CV]Learning with Hierarchical Complement Objective
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
http://arxiv.org/abs/1911.07257v1
• [cs.CV]Leveraging Multi-view Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
Renjiao Yi, Ping Tan, Stephen Lin
http://arxiv.org/abs/1911.07262v1
• [cs.CV]Long Range 3D with Quadocular Thermal (LWIR) Camera
Andrey Filippov, Oleg Dzhimiev
http://arxiv.org/abs/1911.06975v1
• [cs.CV]Maintaining Discrimination and Fairness in Class Incremental Learning
Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shutao Xia
http://arxiv.org/abs/1911.07053v1
• [cs.CV]MaskedFusion: Mask-based 6D Object Pose Detection
Nuno Pereira, Luís A. Alexandre
http://arxiv.org/abs/1911.07771v1
• [cs.CV]Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
http://arxiv.org/abs/1911.07164v1
• [cs.CV]Modeling Gestalt Visual Reasoning on the Raven’s Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques
Tianyu Hua, Maithilee Kunda
http://arxiv.org/abs/1911.07736v1
• [cs.CV]Multi-Task Learning of Height and Semantics from Aerial Images
Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
http://arxiv.org/abs/1911.07543v1
• [cs.CV]Multiple Style-Transfer in Real-Time
Michael Maring, Kaustav Chakraborty
http://arxiv.org/abs/1911.06464v2
• [cs.CV]On the well-posedness of uncalibrated photometric stereo under general lighting
Mohammed Brahimi, Yvain Quéau, Bjoern Haefner, Daniel Cremers
http://arxiv.org/abs/1911.07268v1
• [cs.CV]Optimized CNN for PolSAR Image Classification via Differentiable Neural Architecture Search
Hongwei Dong, Siyu Zhang, Bin Zou, Lamei Zhang
http://arxiv.org/abs/1911.06993v1
• [cs.CV]Oriented Boxes for Accurate Instance Segmentation
Patrick Follmann, Rebecca König
http://arxiv.org/abs/1911.07732v1
• [cs.CV]Potential Field: Interpretable and Unified Representation for Trajectory Prediction
Shan Su, Cheng Peng, Jianbo Shi, Chiho Choi
http://arxiv.org/abs/1911.07414v1
• [cs.CV]Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen, Shenqi Lai, Xueming Qian
http://arxiv.org/abs/1911.07471v1
• [cs.CV]Putting visual object recognition in context
Mengmi Zhang, Claire Tseng, Gabriel Kreiman
http://arxiv.org/abs/1911.07349v1
• [cs.CV]Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Haiyang Si, Zhiqiang Zhang, Feifan Lv, Gang Yu, Feng Lu
http://arxiv.org/abs/1911.07217v1
• [cs.CV]Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng
http://arxiv.org/abs/1911.06998v1
• [cs.CV]S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun
http://arxiv.org/abs/1911.07033v1
• [cs.CV]SA-Text: Simple but Accurate Detector for Text of Arbitrary Shapes
Qitong Wang, Yi Zheng, Margrit Betke
http://arxiv.org/abs/1911.07046v1
• [cs.CV]SMART: Skeletal Motion Action Recognition aTtack
He Wang, Feixiang He, Zexi Peng, Yongliang Yang, Tianjia Shao, Kun Zhou, David Hogg
http://arxiv.org/abs/1911.07107v1
• [cs.CV]SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin
http://arxiv.org/abs/1911.07527v1
• [cs.CV]Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano, Nesrine Chehata
http://arxiv.org/abs/1911.07757v1
• [cs.CV]Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
http://arxiv.org/abs/1911.06997v1
• [cs.CV]SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen
http://arxiv.org/abs/1911.07241v1
• [cs.CV]Signal Clustering with Class-independent Segmentation
Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
http://arxiv.org/abs/1911.07590v1
• [cs.CV]Signed Input Regularization
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
http://arxiv.org/abs/1911.07086v1
• [cs.CV]TSRNet: Scalable 3D Surface Reconstruction Network for Point Clouds using Tangent Convolution
Zhenxing Mi, Yiming Luo, Wenbing Tao
http://arxiv.org/abs/1911.07401v1
• [cs.CV]The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang
http://arxiv.org/abs/1911.07524v1
• [cs.CV]The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
http://arxiv.org/abs/1911.07602v1
• [cs.CV]Towards Robust RGB-D Human Mesh Recovery
Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu
http://arxiv.org/abs/1911.07383v1
• [cs.CV]Towards Visually Explaining Variational Autoencoders
Wenqian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia Camps
http://arxiv.org/abs/1911.07389v1
• [cs.CV]Towards the Automation of Deep Image Prior
Qianwei Zhou, Chen Zhou, Haigen Hu, Yuhang Chen, Shengyong Chen, Xiaoxin Li
http://arxiv.org/abs/1911.07185v1
• [cs.CV]Transductive Zero-Shot Hashing for Multi-Label Image Retrieval
Qin Zou, Zheng Zhang, Ling Cao, Long Chen, Song Wang
http://arxiv.org/abs/1911.07192v1
• [cs.CV]Unsupervised Deep Metric Learning via Auxiliary Rotation Loss
Xuefei Cao, Bor-Chun Chen, Ser-Nam Lim
http://arxiv.org/abs/1911.07072v1
• [cs.CV]Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
http://arxiv.org/abs/1911.07158v1
• [cs.CV]Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
http://arxiv.org/abs/1911.07450v1
• [cs.CV]Unsupervised Representation Learning by Discovering Reliable Image Relations
Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
http://arxiv.org/abs/1911.07808v1
• [cs.CV]Unsupervised Representation Learning for Gaze Estimation
Yu Yu, Jean-Marc Odobez
http://arxiv.org/abs/1911.06939v1
• [cs.CV]Unsupervised Visual Representation Learning with Increasing Object Shape Bias
Zhibo Wang, Shen Yan, Xiaoyu Zhang, Mubarak Shah, Niels Lobo
http://arxiv.org/abs/1911.07272v1
• [cs.CV]Weakly Supervised Object Localization with Inter-Intra Regulated CAMs
Guofeng Cui, Ziyi Kou, Shaojie Wang, Wentian Zhao, Chenliang Xu
http://arxiv.org/abs/1911.07160v1
• [cs.CY]Adaptive Learning Guidance System (ALGS)
Ghada El-Hadad, Doaa Shawky, Ashraf Badawi
http://arxiv.org/abs/1911.06812v1
• [cs.DB]IDEALEM: Statistical Similarity Based Data Reduction
Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu
http://arxiv.org/abs/1911.06980v1
• [cs.DB]Using Mapping Languages for Building Legal Knowledge Graphs from XML Files
Ademar Crotti Junior, Fabrizio Orlandi, Declan O’Sullivan, Christian Dirschl, Quentin Reul
http://arxiv.org/abs/1911.07673v1
• [cs.DC]A Code injection Method for Rapid Docker Image Building
Yujing Wang, Qinyang Bao
http://arxiv.org/abs/1911.07444v1
• [cs.DC]Distributed Machine Learning through Heterogeneous Edge Systems
Hanpeng Hu, Dan Wang, Chuan Wu
http://arxiv.org/abs/1911.06949v1
• [cs.DC]Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
http://arxiv.org/abs/1911.06969v1
• [cs.DC]Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs
Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang
http://arxiv.org/abs/1911.06918v1
• [cs.DM]Optimal adaptive group testing
Max Hahn-Klimroth, Philipp Loick
http://arxiv.org/abs/1911.06647v2
• [cs.DS]Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning
Clément L. Canonne, Xi Chen, Gautam Kamath, Amit Levi, Erik Waingarten
http://arxiv.org/abs/1911.07357v1
• [cs.DS]Sparse Hopsets in Congested Clique
Yasamin Nazari
http://arxiv.org/abs/1911.07154v1
• [cs.DS]Testing Properties of Multiple Distributions with Few Samples
Maryam Aliakbarpour, Sandeep Silwal
http://arxiv.org/abs/1911.07324v1
• [cs.GT]Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
Alberto Marchesi, Francesco Trovò, Nicola Gatti
http://arxiv.org/abs/1911.07755v1
• [cs.HC]A Sketch-Based System for Human-Guided Constrained Object Manipulation
Sina Masnadi, Joseph J. LaViola Jr., Jana Pavlasek, Xiaofan Zhu, Karthik Desingh, Odest Chadwicke Jenkins
http://arxiv.org/abs/1911.07340v1
• [cs.HC]Developing a Scenario-Based Video Game Generation Framework: Preliminary Results
Elif Surer, Mustafa Erkayaoğlu, Zeynep Nur Öztürk, Furkan Yücel, Emin Alp Bıyık, Burak Altan, Büşra Şenderin, Zeliha Oğuz, Servet Gürer, H. Şebnem Düzgün
http://arxiv.org/abs/1911.07380v1
• [cs.IR]A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach
http://arxiv.org/abs/1911.07698v1
• [cs.IR]Common Artist Music Assistance
Manish Agnihotri, Adiyta Rathod, Aditya Jajodia, Chethan Sharma
http://arxiv.org/abs/1911.07200v1
• [cs.IR]Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Yahui Liu, Furao Shen, Jian Zhao
http://arxiv.org/abs/1911.07429v1
• [cs.IR]Quels corpus d’entraînement pour l’expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels
Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini, Nayanika Dogra
http://arxiv.org/abs/1911.07317v1
• [cs.IR]Rumor Detection on Social Media: Datasets, Methods and Opportunities
Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu
http://arxiv.org/abs/1911.07199v1
• [cs.IT]Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning
Özlem Tugfe Demir, Emil Björnson
http://arxiv.org/abs/1911.07316v1
• [cs.IT]Degrees of Freedom of Holographic MIMO Channels
Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti
http://arxiv.org/abs/1911.07516v1
• [cs.IT]Demand-Private Coded Caching and the Exact Trade-off for N=K=2
Sneha Kamath, Jithin Ravi, Bikash Kumar Dey
http://arxiv.org/abs/1911.06995v1
• [cs.IT]Deterministic partial binary circulant compressed sensing matrices
Arman Arian, Ozgur Yilmaz
http://arxiv.org/abs/1911.07497v1
• [cs.IT]Finding the Exact Distribution of (Peak) Age of Information for Queues of PH/PH/1/1 and M/PH/1/2 Type
Nail Akar, Ozancan Dogan, Eray Unsal Atay
http://arxiv.org/abs/1911.07274v1
• [cs.IT]Identify Equivalent Frames
Xuemei Chen, Yang Chu, Min Zheng
http://arxiv.org/abs/1911.07356v1
• [cs.IT]Learning The MMSE Channel Predictor
Nurettin Turan, Wolfgang Utschick
http://arxiv.org/abs/1911.07256v1
• [cs.IT]Locally recoverable $J$-affine variety codes
Carlos Galindo, Fernando Hernando, Carlos Munuera
http://arxiv.org/abs/1911.07485v1
• [cs.IT]Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
Fanqin Meng, Xiaojing Shen, Zhiguo Wang, Haiqi Liu, Junfeng Wang, Yunmin Zhu, Pramod K. Varshney
http://arxiv.org/abs/1911.07180v1
• [cs.IT]On one-stage recovery for $ΣΔ$-quantized compressed sensing
Arman Arian, Ozgur Yilmaz
http://arxiv.org/abs/1911.07525v1
• [cs.IT]On q-ary Bent and Plateaued Functions
Vladimir N. Potapov
http://arxiv.org/abs/1911.06973v1
• [cs.IT]On the Age of Information in Multi-Source Queueing Models
Mohammad Moltafet, Markus Leinonen, Marian Codreanu
http://arxiv.org/abs/1911.07029v1
• [cs.IT]On the Hamming distances of repeated-root cyclic codes of length $5p^s$
Xia Li, Qin Yue
http://arxiv.org/abs/1911.07542v1
• [cs.IT]Optimal deployments of UAVs with directional antennas for a power-efficient coverage
Jun Guo, Philipp Walk, Hamid Jafarkhani
http://arxiv.org/abs/1911.07463v1
• [cs.IT]Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach
Mehyar Najla, Zdenek Becvar, Pavel Mach, David Gesbert
http://arxiv.org/abs/1911.07191v1
• [cs.IT]Projection decoding of some binary optimal linear codes of lengths 36 and 40
Lucky Galvez, Jon-Lark Kim
http://arxiv.org/abs/1911.07212v1
• [cs.IT]Quantized Compressed Sensing by Rectified Linear Units
Hans Christian Jung, Johannes Maly, Lars Palzer, Alexander Stollenwerk
http://arxiv.org/abs/1911.07816v1
• [cs.IT]RIP constants for deterministic compressed sensing matrices-beyond Gershgorin
Arman Arian, Ozgur Yilmaz
http://arxiv.org/abs/1911.07428v1
• [cs.IT]Secure Communication for Spatially Sparse Millimeter-Wave Massive MIMO Channels via Hybrid Precoding
Jindan Xu, Wei Xu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
http://arxiv.org/abs/1911.07017v1
• [cs.IT]Sparse Bayesian Multi-Task Learning of Time-Varying Massive MIMO Channels with Dynamic Filtering
Arash Shahmansoori
http://arxiv.org/abs/1911.07570v1
• [cs.IT]Study of Non-Uniform Channel Polarization and Design of Polar Codes with Arbitrary Rates
Robert M. Oliveira, Rodrigo C. de Lamare
http://arxiv.org/abs/1911.07137v1
• [cs.IT]The Parameters of Minimal Linear Codes
Wei Lu, Xia Wu, Xiwang Cao
http://arxiv.org/abs/1911.07648v1
• [cs.IT]Throughput Maximization with an Average Age of Information Constraint in Fading Channels
Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani
http://arxiv.org/abs/1911.07499v1
• [cs.IT]Two-weight codes over the integers modulo a prime power
Minjia Shi, Tor Helleseth, Patrick Sole
http://arxiv.org/abs/1911.07657v1
• [cs.LG]$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
Ke Alexander Wang, Xinran Bian, Pan Liu, Donghui Yan
http://arxiv.org/abs/1911.06944v1
• [cs.LG]A Graph Autoencoder Approach to Causal Structure Learning
Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang
http://arxiv.org/abs/1911.07420v1
• [cs.LG]A Multi-Task Gradient Descent Method for Multi-Label Learning
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
http://arxiv.org/abs/1911.07693v1
• [cs.LG]A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet
http://arxiv.org/abs/1911.07682v1
• [cs.LG]An “outside the box” solution for imbalanced data classification
Hubert Jegierski, Stanisław Saganowski
http://arxiv.org/abs/1911.06965v1
• [cs.LG]An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms
Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song
http://arxiv.org/abs/1911.07128v1
• [cs.LG]An explanation method for Siamese neural networks
Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov
http://arxiv.org/abs/1911.07702v1
• [cs.LG]Any-Precision Deep Neural Networks
Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua
http://arxiv.org/abs/1911.07346v1
• [cs.LG]Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series
Yang Guo, Zhengyuan Liu, Pavitra Krishnswamy, Savitha Ramasamy
http://arxiv.org/abs/1911.07572v1
• [cs.LG]Benanza: Automatic uBenchmark Generation to Compute “Lower-bound” Latency and Inform Optimizations of Deep Learning Models on GPUs
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/1911.06922v1
• [cs.LG]Binary Sine Cosine Algorithms for Feature Selection from Medical Data
Shokooh Taghian, Mohammad H. Nadimi-Shahraki
http://arxiv.org/abs/1911.07805v1
• [cs.LG]Black-Box Adversarial Attack with Transferable Model-based Embedding
Zhichao Huang, Tong Zhang
http://arxiv.org/abs/1911.07140v1
• [cs.LG]Causality-based Feature Selection: Methods and Evaluations
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
http://arxiv.org/abs/1911.07147v1
• [cs.LG]Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
http://arxiv.org/abs/1911.07293v1
• [cs.LG]Convex Formulation of Overparameterized Deep Neural Networks
Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang
http://arxiv.org/abs/1911.07626v1
• [cs.LG]Coverage Testing of Deep Learning Models using Dataset Characterization
Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi
http://arxiv.org/abs/1911.07309v1
• [cs.LG]Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
http://arxiv.org/abs/1911.06832v1
• [cs.LG]Deep geometric matrix completion: Are we doing it right?
Amit Boyarski, Sanketh Vedula, Alex Bronstein
http://arxiv.org/abs/1911.07255v1
• [cs.LG]Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Cameron Voloshin, Hoang M. Le, Nan Jiang, Yisong Yue
http://arxiv.org/abs/1911.06854v1
• [cs.LG]Encouraging an Appropriate Representation Simplifies Training of Neural Networks
Krisztian Buza
http://arxiv.org/abs/1911.07245v1
• [cs.LG]Explanatory Masks for Neural Network Interpretability
Lawrence Phillips, Garrett Goh, Nathan Hodas
http://arxiv.org/abs/1911.06876v1
• [cs.LG]Fast Machine Learning with Byzantine Workers and Servers
El Mahdi El Mhamdi, Rachid Guerraoui, Arsany Guirguis
http://arxiv.org/abs/1911.07537v1
• [cs.LG]Feedback Control for Online Training of Neural Networks
Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
http://arxiv.org/abs/1911.07710v1
• [cs.LG]Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
http://arxiv.org/abs/1911.07794v1
• [cs.LG]Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang
http://arxiv.org/abs/1911.07101v1
• [cs.LG]GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin, Guojie Song, Chuan Shi
http://arxiv.org/abs/1911.07675v1
• [cs.LG]Graph Neural Ordinary Differential Equations
Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
http://arxiv.org/abs/1911.07532v1
• [cs.LG]Graph-Revised Convolutional Network
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
http://arxiv.org/abs/1911.07123v1
• [cs.LG]Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity
Dian Ang Yap, Nicholas Roberts, Vinay Uday Prabhu
http://arxiv.org/abs/1911.07418v1
• [cs.LG]Hebbian Synaptic Modifications in Spiking Neurons that Learn
Peter L. Bartlett, Jonathan Baxter
http://arxiv.org/abs/1911.07247v1
• [cs.LG]Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
Kevin Sebastian Luck, Mel Vecerik, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
http://arxiv.org/abs/1911.06833v1
• [cs.LG]Inductive Relation Prediction on Knowledge Graphs
Komal K. Teru, William L. Hamilton
http://arxiv.org/abs/1911.06962v1
• [cs.LG]Influence-aware Memory for Deep Reinforcement Learning
Miguel Suau de Castro, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans Olihoek
http://arxiv.org/abs/1911.07643v1
• [cs.LG]Information-Theoretic Perspective of Federated Learning
Linara Adilova, Julia Rosenzweig, Michael Kamp
http://arxiv.org/abs/1911.07652v1
• [cs.LG]Inverse Reinforcement Learning with Missing Data
Tien Mai, Quoc Phong Nguyen, Kian Hsiang Low, Patrick Jaillet
http://arxiv.org/abs/1911.06930v1
• [cs.LG]Justification-Based Reliability in Machine Learning
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
http://arxiv.org/abs/1911.07391v1
• [cs.LG]Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu
http://arxiv.org/abs/1911.07323v1
• [cs.LG]Learning Behavioral Representations from Wearable Sensors
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman
http://arxiv.org/abs/1911.06959v1
• [cs.LG]Loss Aware Post-training Quantization
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
http://arxiv.org/abs/1911.07190v1
• [cs.LG]Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare
Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill
http://arxiv.org/abs/1911.07084v1
• [cs.LG]NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-mei Hwu, Junli Gu, Deming Chen
http://arxiv.org/abs/1911.07446v1
• [cs.LG]Neural Recurrent Structure Search for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Lei Chen
http://arxiv.org/abs/1911.07132v1
• [cs.LG]Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift
Riashat Islam, Komal K. Teru, Deepak Sharma
http://arxiv.org/abs/1911.06970v1
• [cs.LG]On Value Discrepancy of Imitation Learning
Tian Xu, Ziniu Li, Yang Yu
http://arxiv.org/abs/1911.07027v1
• [cs.LG]Online Adaptive Asymmetric Active Learning with Limited Budgets
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
http://arxiv.org/abs/1911.07498v1
• [cs.LG]Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test
Lu Yihe, Scott C. Lowe, Penelope A. Lewis, Mark C. W. van Rossum
http://arxiv.org/abs/1911.07721v1
• [cs.LG]Prototypical Networks for Multi-Label Learning
Zhuo Yang, Yufei Han, Guoxian Yu, Xiangliang Zhang
http://arxiv.org/abs/1911.07203v1
• [cs.LG]Provable Filter Pruning for Efficient Neural Networks
Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
http://arxiv.org/abs/1911.07412v1
• [cs.LG]Query Complexity of Bayesian Private Learning
Kuang Xu
http://arxiv.org/abs/1911.06903v1
• [cs.LG]RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
Farzaneh Khoshnevisan, Zhewen Fan
http://arxiv.org/abs/1911.07104v1
• [cs.LG]Rebalancing Learning on Evolving Data Streams
Alessio Bernardo, Emanuele Della Valle, Albert Bifet
http://arxiv.org/abs/1911.07361v1
• [cs.LG]Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu
http://arxiv.org/abs/1911.07109v1
• [cs.LG]Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Min Du, Ruoxi Jia, Dawn Song
http://arxiv.org/abs/1911.07116v1
• [cs.LG]RotationOut as a Regularization Method for Neural Network
Kai Hu, Barnabas Poczos
http://arxiv.org/abs/1911.07427v1
• [cs.LG]Safe squeezing for antisparse coding
Clément Elvira, Cédric Herzet
http://arxiv.org/abs/1911.07508v1
• [cs.LG]Selective sampling for accelerating training of deep neural networks
Berry Weinstein, Shai Fine, Yacov Hel-Or
http://arxiv.org/abs/1911.06996v1
• [cs.LG]Smoothed Inference for Adversarially-Trained Models
Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, Avi Mendelson
http://arxiv.org/abs/1911.07198v1
• [cs.LG]Sparse $\ell_1$ and $\ell_2$ Center Classifiers
Giuseppe C. Calafiore, Giulia Fracastoro
http://arxiv.org/abs/1911.07320v1
• [cs.LG]Suspicion-Free Adversarial Attacks on Clustering Algorithms
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra
http://arxiv.org/abs/1911.07015v1
• [cs.LG]SySCD: A System-Aware Parallel Coordinate Descent Algorithm
Nikolas Ioannou, Celestine Mendler-Dünner, Thomas Parnell
http://arxiv.org/abs/1911.07722v1
• [cs.LG]The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki, Michael B. Wakin
http://arxiv.org/abs/1911.07716v1
• [cs.LG]The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction
Martin Gauch, Juliane Mai, Jimmy Lin
http://arxiv.org/abs/1911.07249v1
• [cs.LG]The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
http://arxiv.org/abs/1911.07135v1
• [cs.LG]Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
http://arxiv.org/abs/1911.07489v1
• [cs.LG]Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction
Josie Williams, Narges Razavian
http://arxiv.org/abs/1911.07679v1
• [cs.LG]Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin
http://arxiv.org/abs/1911.07013v1
• [cs.LG]VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
http://arxiv.org/abs/1911.06982v1
• [cs.LG]Vulnerability Analysis for Data Driven Pricing Schemes
Jingshi Cui, Haoxiang Wang, Chenye Wu, Yang Yu
http://arxiv.org/abs/1911.07453v1
• [cs.LG]Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck
Ilja Manakov, Markus Rohm, Volker Tresp
http://arxiv.org/abs/1911.07460v1
• [cs.LG]What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
Pengyu Gao, Siyu Xia, Joseph Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu
http://arxiv.org/abs/1911.07014v1
• [cs.LG]Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
http://arxiv.org/abs/1911.07141v1
• [cs.MM]Parametric Graph-based Separable Transforms for Video Coding
Hilmi E. Egilmez, Oguzhan Teke, Amir Said, Vadim Seregin, Marta Karczewicz
http://arxiv.org/abs/1911.06981v1
• [cs.MM]Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling
Suping Zhou, Jia Jia, Yufeng Yin, Xiang Li, Yang Yao, Ying Zhang, Zeyang Ye, Kehua Lei, Yan Huang, Jialie Shen
http://arxiv.org/abs/1911.07253v1
• [cs.MS]Semi-Automatic Task Graph Construction for $\mathcal{H}$-Matrix Arithmetic
Steffen Börm, Sven Christophersen, Ronald Kriemann
http://arxiv.org/abs/1911.07531v1
• [cs.NE]ImmuNeCS: Neural Committee Search by an Artificial Immune System
Luc Frachon, Wei Pang, George M. Coghill
http://arxiv.org/abs/1911.07729v1
• [cs.NE]Particle Swarm and EDAs
Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir
http://arxiv.org/abs/1911.07112v1
• [cs.NI]Caching Techniques to Improve Latency in Serverless Architectures
Bishakh Chandra Ghosh, Sourav Kanti Addya, Nishant Baranwal Somy, Shubha Brata Nath, Sandip Chakraborty, Soumya K Ghosh
http://arxiv.org/abs/1911.07351v1
• [cs.NI]Profile-based Resource Allocation for Virtualized Network Functions
Steven Van Rossem, Wouter Tavernier, Didier Colle, Mario Pickavet, Piet Demeester
http://arxiv.org/abs/1911.07738v1
• [cs.NI]The geopolitics behind the routes data travels: a case study of Iran
Loqman Salamatian, Frederick Douzet, Kevin Limonier, Kavé Salamatian
http://arxiv.org/abs/1911.07723v1
• [cs.PF]Understanding Open Source Serverless Platforms: Design Considerations and Performance
Junfeng Li, Sameer G. Kulkarni, K. K. Ramakrishnan, Dan Li
http://arxiv.org/abs/1911.07449v1
• [cs.PL]PriorityGraph: A Unified Programming Model for Optimizing Ordered Graph Algorithms
Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman Amarasinghe, Julian Shun
http://arxiv.org/abs/1911.07260v1
• [cs.RO]A Hierarchical Framework to Generate Robust Biped Locomotion Based on Divergent Component of Motion
Mohammadreza Kasaei, Nuno Lau, Artur Pereira
http://arxiv.org/abs/1911.07505v1
• [cs.RO]A gamified simulator and physical platform for self-driving algorithm training and validation
Joshua E. Siegel, Georgios Pappas, Konstantinos Politopoulos, Yongbin Sun
http://arxiv.org/abs/1911.07759v1
• [cs.RO]Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning
Yanlin Zhou, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Li, Dapeng Wu
http://arxiv.org/abs/1911.06882v1
• [cs.RO]Design of the First Insect-scale Spinning-wing Robot
Palak Bhushan, Claire Tomlin
http://arxiv.org/abs/1911.06947v1
• [cs.RO]Development of MirrorShape: High Fidelity Large-Scale Shape Rendering Framework for Virtual Reality
Aleksey Fedoseev, Nikita Chernyadev, Dzmitry Tsetserukou
http://arxiv.org/abs/1911.07408v1
• [cs.RO]Fast 2D Map Matching Based on Area Graphs
Jiawei Hou, Haofei Kuang, Sören Schwertfeger
http://arxiv.org/abs/1911.07432v1
• [cs.RO]Flexoskeleton printing for versatile insect-inspired robots
Mingsong Jiang, Ziyi Zhou, Nicholas G. Gravish
http://arxiv.org/abs/1911.06897v1
• [cs.RO]Ground and Non-Ground Separation Filter for UAV Lidar Point Cloud
Geesara Prathap, Roman Fedorenko, Alexandr Klimchik
http://arxiv.org/abs/1911.06994v1
• [cs.RO]IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Alex Yin, Joseph J. Lim
http://arxiv.org/abs/1911.07246v1
• [cs.RO]Object Finding in Cluttered Scenes Using Interactive Perception
Tonci Novkovic, Remi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan Nieto
http://arxiv.org/abs/1911.07482v1
• [cs.RO]Optimal Control of a Differentially Flat 2D Spring-Loaded Inverted Pendulum Model
Hua Chen, Patrick M. Wensing, Wei Zhang
http://arxiv.org/abs/1911.07168v1
• [cs.RO]Robotic Sculpting with Collision-free Motion Planning in Voxel Space
Abhinav Jain, Seth Hutchinson, Frank Dellaert
http://arxiv.org/abs/1911.07348v1
• [cs.RO]Strategy Synthesis for Surveillance-Evasion Games with Learning-Enabled Visibility Optimization
Suda Bharadwaj, Louis Ly, Bo Wu, Richard Tsai, Ufuk Topcu
http://arxiv.org/abs/1911.07394v1
• [cs.SE]patch2vec: Distributed Representation of Code Changes
Rocìo Cabrera Lozoya, Arnaud Baumann, Antonino Sabetta, Michele Bezzi
http://arxiv.org/abs/1911.07605v1
• [cs.SI]A First Look at References from the Dark to Surface Web World
Mahdieh Zabihimayvan, Derek Doran
http://arxiv.org/abs/1911.07814v1
• [cs.SI]An Application of Random Walk on Fake Account Detection Problem: A Hybrid Approach
Ngoc C. Lê, Manh-Tuan Dao, Hoang-Linh Nguyen, Tuyet-Nhi Nguyen, Hue Vu
http://arxiv.org/abs/1911.07609v1
• [cs.SI]An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang, Chaoqi Yang, Adit Krishnan, Junting Wang, Hari Sundaram, Carolyn Sutter
http://arxiv.org/abs/1911.06957v1
• [cs.SI]Large-Scale Parallel Matching of Social Network Profiles
Alexander Panchenko, Dmitry Babaev, Sergei Obiedkov
http://arxiv.org/abs/1911.06861v1
• [cs.SI]Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua
http://arxiv.org/abs/1911.07156v1
• [cs.SI]Towards Automated Sexual Violence Report Tracking
Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed
http://arxiv.org/abs/1911.06961v1
• [econ.EM]Causal Inference Under Approximate Neighborhood Interference
Michael P. Leung
http://arxiv.org/abs/1911.07085v1
• [econ.EM]Inference in Models of Discrete Choice with Social Interactions Using Network Data
Michael P. Leung
http://arxiv.org/abs/1911.07106v1
• [econ.EM]Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables
Samuele Centorrino, Aman Ullah, Jing Xue
http://arxiv.org/abs/1911.06857v1
• [eess.IV]Automated Human Claustrum Segmentation using Deep Learning Technologies
Ahmed Awad Albishri, Syed Jawad Hussain Shah, Anthony Schmiedler, Seung Suk Kang, Yugyung Lee
http://arxiv.org/abs/1911.07515v1
• [eess.IV]Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete
http://arxiv.org/abs/1911.07566v1
• [eess.IV]Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen
http://arxiv.org/abs/1911.07069v1
• [eess.IV]Liver Steatosis Segmentation with Deep Learning Methods
Xiaoyuan Guo, Fusheng Wang, George Teodorou, Alton B. Farris, Jun Kong
http://arxiv.org/abs/1911.07088v1
• [eess.IV]Low-Weight and Learnable Image Denoising
Gregory Vaksman, Michael Elad, Peyman Milanfar
http://arxiv.org/abs/1911.07167v1
• [eess.IV]Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun
http://arxiv.org/abs/1911.07410v1
• [eess.IV]Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing
Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philipp Hoelter, Arnd Dörfler, Andreas Maier
http://arxiv.org/abs/1911.07731v1
• [eess.IV]On Space-spectrum Uncertainty Analysis for Coded Aperture Systems
Vishwanath Saragadam, Aswin Sankaranarayanan
http://arxiv.org/abs/1911.06956v1
• [eess.IV]Quality Assessment of DIBR-synthesized views: An Overview
Shishun Tian, Lu Zhang, Wenbin Zou, Xia Li, Ting Su, Luce Morin, Olivier Deforges
http://arxiv.org/abs/1911.07036v1
• [eess.IV]ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pal Halvorsen, Havard D. Johansen
http://arxiv.org/abs/1911.07067v1
• [eess.IV]Skin Lesion Classification Using Deep Neural Network
Alla Eddine Guissous
http://arxiv.org/abs/1911.07817v1
• [eess.IV]Transfer Learning of fMRI Dynamics
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey Plis
http://arxiv.org/abs/1911.06813v1
• [eess.SP]A Novel Content Caching and Delivery Scheme for Millimeter Wave Device-to-Device Communications
Theshani Nuradha, Tharaka Samarasinghe, Kasun T. Hemachandra
http://arxiv.org/abs/1911.06517v1
• [eess.SP]Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Soheil Rostami, Walid Saad, Choong Seon Hong
http://arxiv.org/abs/1911.06858v1
• [eess.SP]Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis
Hang Zou, Chao Zhang, Samson Lasaulce, Lucas Saludjian, Patrick Panciatici
http://arxiv.org/abs/1911.07687v1
• [eess.SP]FFDNet-Based Channel Estimation for Massive MIMO Visible Light Communication Systems
Zhipeng Gao, Yuhao Wang, Xiaodong Liu, Fuhui Zhou, Kai-Kit Wong
http://arxiv.org/abs/1911.07404v1
• [eess.SP]Radar Emitter Classification with Attribute-specific Recurrent Neural Networks
Paolo Notaro, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab
http://arxiv.org/abs/1911.07683v1
• [eess.SP]Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He
http://arxiv.org/abs/1911.07183v1
• [eess.SP]Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks
Yuan Zhou, Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu, Yuhao Wang
http://arxiv.org/abs/1911.07149v1
• [eess.SY]Fixed-horizon Active Hypothesis Testing
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
http://arxiv.org/abs/1911.06912v1
• [eess.SY]General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks
Alison Jenkins, Vinika Gupta, Mary Lenoir
http://arxiv.org/abs/1911.07115v1
• [eess.SY]Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)
Farhad Mehdifar, Charalampos P. Bechlioulis, Farzad Hashemzadeh, Mahdi Baradarannia
http://arxiv.org/abs/1911.07266v1
• [eess.SY]Safe Interactive Model-Based Learning
Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu, Alessio Quaglino, Jonathan Masci, Jan Koutník, Faustino Gomez
http://arxiv.org/abs/1911.06556v2
• [eess.SY]Steady-State Control and Machine Learning of Large-Scale Deformable Mirror Models
Aleksandar Haber
http://arxiv.org/abs/1911.07456v1
• [math.OC]Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Anas Barakat, Pascal Bianchi
http://arxiv.org/abs/1911.07596v1
• [math.OC]Coordinate-wise Armijo’s condition
Tuyen Trung Truong
http://arxiv.org/abs/1911.07820v1
• [math.OC]Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set
Fan Zhang, Hao Wang, Jiashan Wang, Kai Yang
http://arxiv.org/abs/1911.07758v1
• [math.OC]Online Learning and Matching for Resource Allocation Problems
Andrea Boskovic, Qinyi Chen, Dominik Kufel, Zijie Zhou
http://arxiv.org/abs/1911.07409v1
• [math.ST]Detecting structural breaks in eigensystems of functional time series
Holger Dette, Tim Kutta
http://arxiv.org/abs/1911.07580v1
• [math.ST]Goodness-of-fit Testing in Linear Regression Models
Rok Blagus, Jakob Peterlin, Janez Stare
http://arxiv.org/abs/1911.07522v1
• [math.ST]Graph Topological Aspects of Granger Causal Network Learning
R. J. Kinnear, R. R. Mazumdar
http://arxiv.org/abs/1911.07121v1
• [math.ST]Graph estimation for Gaussian data zero-inflated by double truncation
Gégout-Petit Anne, Gueudin-Muller Aurélie, Karmann Clémence
http://arxiv.org/abs/1911.07694v1
• [math.ST]Maximum Approximate Likelihood Estimation in Accelerated Failure Time Model for Interval-Censored Data
Zhong Guan
http://arxiv.org/abs/1911.07087v1
• [math.ST]Oracle inequalities for image denoising with total variation regularization
Francesco Ortelli, Sara van de Geer
http://arxiv.org/abs/1911.07231v1
• [quant-ph]Quantifying the unextendibility of entanglement
Kun Wang, Xin Wang, Mark M. Wilde
http://arxiv.org/abs/1911.07433v1
• [quant-ph]Universal superposition codes: capacity regions of compound quantum broadcast channel with confidential messages
Holger Boche, Gisbert Janßen, Sajad Saeedinaeeni
http://arxiv.org/abs/1911.07753v1
• [stat.AP]A spatio-temporal multi-scale model for Geyer saturation point process: application to forest fire occurrences
Morteza Raeisi, Florent Bonneu, Edith Gabriel
http://arxiv.org/abs/1911.06999v1
• [stat.AP]Granular Motor State Monitoring of Free Living Parkinson’s Disease Patients via Deep Learning
Kamer A. Yuksel, Jann Goschenhofer, Hridya V. Varma, Urban Fietzek, Franz M. J. Pfister
http://arxiv.org/abs/1911.06913v1
• [stat.AP]Predicting colorectal polyp recurrence using time-to-event analysis of medical records
Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. Mackenzie, Saeed Hassanpour
http://arxiv.org/abs/1911.07368v1
• [stat.AP]Spatiotemporal large-scale networks shaped by air mass movements
Maria Choufany, Davide Martinetti, Rachid Senoussi, Cindy E. Morris, Samuel Soubeyrand
http://arxiv.org/abs/1911.07007v1
• [stat.AP]The implications of Labour’s plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England
George Leckie, Lucy Prior, Harvey Goldstein
http://arxiv.org/abs/1911.06884v1
• [stat.CO]Bayesian Model Selection for Ultrahigh-Dimensional Doubly-Intractable Distributions with an Application to Network Psychometrics
Jaewoo Park, Ick Hoon Jin
http://arxiv.org/abs/1911.07142v1
• [stat.CO]DRHotNet: An R package for detecting differential risk hotspots on a linear network
Álvaro Briz-Redón, Francisco Martínez-Ruiz, Francisco Montes
http://arxiv.org/abs/1911.07827v1
• [stat.ME]A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks
Somnath Bhadra, Kaustav Chakraborty, Srijan Sengupta, Soumendra Lahiri
http://arxiv.org/abs/1911.06869v1
• [stat.ME]A Permutation Test for Assessing the Presence of Individual Differences in Treatment Effects
Chi Chang, Thomas Jaki, Muhammad Saad Sadiq, Alena A. Kuhlemeier, Daniel Feaster, Nathan Cole, Andrea Lamont, Daniel Oberski, Yasin Desai, M. Lee Van Horn
http://arxiv.org/abs/1911.07248v1
• [stat.ME]A hierarchical expected improvement method for Bayesian optimization
Zhehui Chen, Simon Mak, C. F. Jeff Wu
http://arxiv.org/abs/1911.07285v1
• [stat.ME]A projection approach for multiple monotone regression
Lizhen Lin, Brian St. Thomas, Walter W. Piegorsch, James Scott, Carlos Carvalho
http://arxiv.org/abs/1911.07553v1
• [stat.ME]Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Isabella N Grabski, Roberta De Vito, Barbara E Engelhardt
http://arxiv.org/abs/1911.07099v1
• [stat.ME]Causal inference with recurrent data via inverse probability treatment weighting method (IPTW)
Haodi Liang, Cecilia Cotton
http://arxiv.org/abs/1911.06868v1
• [stat.ME]Change point localization in dependent dynamic nonparametric random dot product graphs
Oscar Hernan Madrid Padilla, Yi Yu, Carey E. Priebe
http://arxiv.org/abs/1911.07494v1
• [stat.ME]Constrained High Dimensional Statistical Inference
Ming Yu, Varun Gupta, Mladen Kolar
http://arxiv.org/abs/1911.07319v1
• [stat.ME]Does Regression Approximate the Influence of the Covariates or Just Measurement Errors? A Model Validity Test
Alexander Kukush, Igor Mandel
http://arxiv.org/abs/1911.07556v1
• [stat.ME]Marginal and Interactive Feature Screening of Ultra-high Dimensional Feature Spaces with Multivariate Response
Randall Reese
http://arxiv.org/abs/1911.06955v1
• [stat.ME]Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks
Lingjun Li, Jun Li
http://arxiv.org/abs/1911.07762v1
• [stat.ME]Partial Least Squares for Functional Joint Models
Yue Wang, Joseph Ibrahim, Hongtu Zhu
http://arxiv.org/abs/1911.07111v1
• [stat.ME]State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization
Chencheng Cai, Rong Chen
http://arxiv.org/abs/1911.07172v1
• [stat.ME]Testing for Stochastic Order in Interval-Valued Data
Hyejeong Choi, Johan Lim, Johan Lim, Seongoh Park
http://arxiv.org/abs/1911.07196v1
• [stat.ME]Variance partitioning in multilevel models for count data
George Leckie, William Browne, Harvey Goldstein, Juan Merlo, Peter Austin
http://arxiv.org/abs/1911.06888v1
• [stat.ME]Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration
Stéphane Guerrier, Juan Jurado, Mehran Khaghani, Gaetan Bakalli, Mucyo Karemera, Roberto Molinari, Samuel Orso, John Raquet, Christine M. Schubert Kabban, Jan Skaloud, Haotian Xu, Yuming Zhang
http://arxiv.org/abs/1911.07049v1
• [stat.ML]A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura, Kenshi Abe
http://arxiv.org/abs/1911.07790v1
• [stat.ML]Benchmarking time series classification — Functional data vs machine learning approaches
Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl
http://arxiv.org/abs/1911.07511v1
• [stat.ML]Defending Against Model Stealing Attacks with Adaptive Misinformation
Sanjay Kariyappa, Moinuddin K Qureshi
http://arxiv.org/abs/1911.07100v1
• [stat.ML]Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference
Leen Alawieh, Jonathan Goodman, John B. Bell
http://arxiv.org/abs/1911.07227v1
• [stat.ML]Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari
http://arxiv.org/abs/1911.07676v1
• [stat.ML]Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
Scott A. Cameron, Hans C. Eggers, Steve Kroon
http://arxiv.org/abs/1911.07337v1