cond-mat.dis-nn - 无序系统与神经网络
cond-mat.soft - 软凝聚物质 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.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.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nucl-th - 核理论 physics.geo-ph - 地球物理学 physics.optics - 光学 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
• [cond-mat.dis-nn]The spectral dimension of simplicial complexes: a renormalization group theory
• [cond-mat.soft]Analytical classical density functionals from an equation learning network
• [cs.AI]A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
• [cs.AI]D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments
• [cs.AI]Long-term Joint Scheduling for Urban Traffic
• [cs.AI]On the Efficiency of the Neuro-Fuzzy Classifier for User Knowledge Modeling Systems
• [cs.CL]A Comparison of Neural Network Training Methods for Text Classification
• [cs.CL]Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
• [cs.CL]Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
• [cs.CL]Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels
• [cs.CL]Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
• [cs.CL]Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments
• [cs.CL]Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
• [cs.CL]Evaluating Lottery Tickets Under Distributional Shifts
• [cs.CL]Evaluating the Factual Consistency of Abstractive Text Summarization
• [cs.CL]Exploring Author Context for Detecting Intended vs Perceived Sarcasm
• [cs.CL]Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
• [cs.CL]FineText: Text Classification via Attention-based Language Model Fine-tuning
• [cs.CL]Induced Inflection-Set Keyword Search in Speech
• [cs.CL]Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
• [cs.CL]Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
• [cs.CL]Look-up and Adapt: A One-shot Semantic Parser
• [cs.CL]Memeify: A Large-Scale Meme Generation System
• [cs.CL]Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
• [cs.CL]Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
• [cs.CL]Multitask Learning For Different Subword Segmentations In Neural Machine Translation
• [cs.CL]Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack
• [cs.CL]RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search
• [cs.CL]Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
• [cs.CL]SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
• [cs.CL]Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
• [cs.CL]Thieves on Sesame Street! Model Extraction of BERT-based APIs
• [cs.CL]Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
• [cs.CL]Training ASR models by Generation of Contextual Information
• [cs.CL]ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
• [cs.CL]What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
• [cs.CL]Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
• [cs.CR]An investigation of MMM Ponzi scheme on Bitcoin
• [cs.CR]Protecting Personal Data using Smart Contracts
• [cs.CR]Secure Evaluation of Quantized Neural Networks
• [cs.CR]User Data Sharing Frameworks: A Blockchain-Based Incentive Solution
• [cs.CV]A Preliminary Study on Optimal Placement of Cameras
• [cs.CV]AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose
• [cs.CV]Addressing the Sim2Real Gap in Robotic 3D Object Classification
• [cs.CV]Adversarial Defense Via Local Flatness Regularization
• [cs.CV]Applications of Generative Adversarial Models in Visual Search Reformulation
• [cs.CV]Deep Learning Models for Digital Pathology
• [cs.CV]Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
• [cs.CV]Diverse Video Captioning Through Latent Variable Expansion with Conditional GAN
• [cs.CV]ETNet: Error Transition Network for Arbitrary Style Transfer
• [cs.CV]Exploring 3 R’s of Long-term Tracking: Re-detection, Recovery and Reliability
• [cs.CV]FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
• [cs.CV]Few-shot Video-to-Video Synthesis
• [cs.CV]Fine-Grained Object Detection over Scientific Document Images with Region Embeddings
• [cs.CV]Fine-Grained Visual Recognition with Batch Confusion Norm
• [cs.CV]FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
• [cs.CV]HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
• [cs.CV]Hierarchical Clustering-guided re-ID with Triplet loss
• [cs.CV]Human Keypoint Detection by Progressive Context Refinement
• [cs.CV]Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
• [cs.CV]Learning Disentangled Representation for Robust Person Re-identification
• [cs.CV]Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
• [cs.CV]Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
• [cs.CV]MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
• [cs.CV]MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
• [cs.CV]Multi-Resolution Overlapping Stripes Network for Person Re-Identification
• [cs.CV]Multi-source Domain Adaptation for Semantic Segmentation
• [cs.CV]Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model
• [cs.CV]Prediction stability as a criterion in active learning
• [cs.CV]Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
• [cs.CV]Region Mutual Information Loss for Semantic Segmentation
• [cs.CV]SENSE: a Shared Encoder Network for Scene-flow Estimation
• [cs.CV]Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
• [cs.CV]Self-supervised learning of class embeddings from video
• [cs.CV]Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
• [cs.CV]Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation
• [cs.CV]Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
• [cs.CV]The Quo Vadis submission at Traffic4cast 2019
• [cs.CV]Use of a Capsule Network to Detect Fake Images and Videos
• [cs.CV]Virtual Piano using Computer Vision
• [cs.CV]Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
• [cs.CY]A Triangulated Model to Assess Adoption of Virtual Learning Environements in Primary Schools
• [cs.CY]AI Ethics in Industry: A Research Framework
• [cs.CY]Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment
• [cs.CY]Learning Fair and Interpretable Representations via Linear Orthogonalization
• [cs.DC]Annual Interruption Rate as a KPI, its measurement and comparison
• [cs.DC]Introduction to local certification
• [cs.DC]Massively Parallel Algorithms for String Matching with Wildcards
• [cs.DC]Semi-Asymmetric Parallel Graph Algorithms for NVRAMs
• [cs.DS]Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
• [cs.GT]Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
• [cs.HC]Human-AI Co-Learning for Data-Driven AI
• [cs.HC]Information Seeking and Information Processing Behaviors Among Type 2 Diabetics
• [cs.IR]A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
• [cs.IR]Empirical Analysis of Session-Based Recommendation Algorithms
• [cs.IR]Online News Media Website Ranking Using User Generated Content
• [cs.IR]The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
• [cs.IR]The Performance Envelope of Inverted Indexing on Modern Hardware
• [cs.IT]A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
• [cs.IT]A class of functions with low-valued Walsh spectrum
• [cs.IT]Deep Joint Source-Channel Coding for Wireless Image Retrieval
• [cs.IT]Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
• [cs.IT]Full-Duplex Enabled Mobile Edge Caching: From Distributed to Cooperative Caching
• [cs.IT]Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection
• [cs.IT]LCD Matrix-Product Codes over Commutative Rings
• [cs.IT]Latency and timeliness in multi-hop satellite networks
• [cs.IT]Massive Access for Future Wireless Communication Systems
• [cs.IT]New quaternary codes derived from posets of the disjoint union of two chains
• [cs.IT]On the Storage Cost of Private Information Retrieval
• [cs.IT]Optimal $k$-Deletion Correcting Codes
• [cs.IT]Secret Key Generation via Pulse-Coupled Synchronization
• [cs.IT]Small Memory Robust Simulation of Client-Server Interactive Protocols over Oblivious Noisy Channels
• [cs.IT]Spatially Coupled LDPC Codes with Sub-Block Locality
• [cs.IT]Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling
• [cs.IT]Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information
• [cs.LG]A Game Theoretic Approach to Class-wise Selective Rationalization
• [cs.LG]A geometric interpretation of stochastic gradient descent using diffusion metrics
• [cs.LG]Adaptive Loss Scaling for Mixed Precision Training
• [cs.LG]Adaptive Sampling for Stochastic Risk-Averse Learning
• [cs.LG]An Active Approach for Model Interpretation
• [cs.LG]An Adaptive and Momental Bound Method for Stochastic Learning
• [cs.LG]An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
• [cs.LG]Asynchronous Methods for Model-Based Reinforcement Learning
• [cs.LG]Attention for Inference Compilation
• [cs.LG]Attenuating Random Noise in Seismic Data by a Deep Learning Approach
• [cs.LG]BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
• [cs.LG]Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
• [cs.LG]Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
• [cs.LG]CXPlain: Causal Explanations for Model Interpretation under Uncertainty
• [cs.LG]Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS
• [cs.LG]Compressed Sensing with Probability-based Prior Information
• [cs.LG]Consistency Regularization for Generative Adversarial Networks
• [cs.LG]Convergent Policy Optimization for Safe Reinforcement Learning
• [cs.LG]Cross-Channel Intragroup Sparsity Neural Network
• [cs.LG]Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
• [cs.LG]Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
• [cs.LG]Deep causal representation learning for unsupervised domain adaptation
• [cs.LG]Deep convolutional autoencoder for cryptocurrency market analysis
• [cs.LG]Detection of Adversarial Attacks and Characterization of Adversarial Subspace
• [cs.LG]Differentiable Convex Optimization Layers
• [cs.LG]Differentially Private Distributed Data Summarization under Covariate Shift
• [cs.LG]Distributed Estimation via Network Regularization
• [cs.LG]EdgeFool: An Adversarial Image Enhancement Filter
• [cs.LG]Empirical Differential Privacy
• [cs.LG]Entity Abstraction in Visual Model-Based Reinforcement Learning
• [cs.LG]FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
• [cs.LG]Fair Generative Modeling via Weak Supervision
• [cs.LG]Fast classification rates without standard margin assumptions
• [cs.LG]Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
• [cs.LG]Generative Well-intentioned Networks
• [cs.LG]Growing axons: greedy learning of neural networks with application to function approximation
• [cs.LG]HIDRA: Head Initialization across Dynamic targets for Robust Architectures
• [cs.LG]Implicit Posterior Variational Inference for Deep Gaussian Processes
• [cs.LG]Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
• [cs.LG]Improving Graph Attention Networks with Large Margin-based Constraints
• [cs.LG]Inherent Weight Normalization in Stochastic Neural Networks
• [cs.LG]Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
• [cs.LG]Kernel Stein Tests for Multiple Model Comparison
• [cs.LG]L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
• [cs.LG]Landmark Ordinal Embedding
• [cs.LG]Layer Pruning for Accelerating Very Deep Neural Networks
• [cs.LG]Learning Data Manipulation for Augmentation and Weighting
• [cs.LG]Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
• [cs.LG]Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
• [cs.LG]Minimax Weight and Q-Function Learning for Off-Policy Evaluation
• [cs.LG]Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
• [cs.LG]Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
• [cs.LG]Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
• [cs.LG]Neural Network Distiller: A Python Package For DNN Compression Research
• [cs.LG]On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
• [cs.LG]Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
• [cs.LG]PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views
• [cs.LG]PRNet: Self-Supervised Learning for Partial-to-Partial Registration
• [cs.LG]PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems
• [cs.LG]PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
• [cs.LG]PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
• [cs.LG]Pre-train and Learn: Preserve Global Information for Graph Neural Networks
• [cs.LG]Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
• [cs.LG]SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
• [cs.LG]Same-Cluster Querying for Overlapping Clusters
• [cs.LG]Semi-Implicit Stochastic Recurrent Neural Networks
• [cs.LG]Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
• [cs.LG]Spectral Algorithm for Low-rank Multitask Regression
• [cs.LG]Tensor Q-Rank: A New Data Dependent Tensor Rank
• [cs.LG]The Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
• [cs.LG]TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
• [cs.LG]Understanding Isomorphism Bias in Graph Data Sets
• [cs.LG]Variable Selection with Copula Entropy
• [cs.LG]Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
• [cs.LG]ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
• [cs.LO]Simplifying Neural Networks with the Marabou Verification Engine
• [cs.MM]Automatic Reminiscence Therapy for Dementia
• [cs.NE]CTNN: Corticothalamic-inspired neural network
• [cs.NE]Computational design of organic solar cell active layer through genetic algorithm
• [cs.NE]Making Predictive Coding Networks Generative
• [cs.NE]Swarm Behaviour Evolution via Rule Sharing and Novelty Search
• [cs.NE]Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
• [cs.NI]Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs
• [cs.RO]Analysis on Advancement of Hybrid Fuzzy Sliding Mode Controllers for Nonlinear Systems
• [cs.RO]Driving Datasets Literature Review
• [cs.RO]KETO: Learning Keypoint Representations for Tool Manipulation
• [cs.RO]Low-Cost GPS-Aided LiDAR State Estimation and Map Building
• [cs.RO]Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator
• [cs.RO]Real-Time, Environmentally-Robust 3D LiDAR Localization
• [cs.RO]Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
• [cs.RO]Robots as Actors in a Film: No War, A Robot Story
• [cs.RO]Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry
• [cs.RO]Task-Informed Fidelity Management for Speeding Up Robotics Simulation
• [cs.SD]A holistic approach to polyphonic music transcription with neural networks
• [cs.SD]Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
• [cs.SD]Interrupted and cascaded permutation invariant training for speech separation
• [cs.SD]Meta Learning for End-to-End Low-Resource Speech Recognition
• [cs.SD]Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
• [cs.SD]Sound Event Recognition in a Smart City Surveillance Context
• [cs.SD]Unsupervised pre-traing for sequence to sequence speech recognition
• [cs.SI]A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
• [cs.SI]A framework for second order eigenvector centralities and clustering coefficients
• [cs.SI]CONNA: Addressing Name Disambiguation on The Fly
• [cs.SI]Maximizing Contrasting Opinions in Signed Social Networks
• [cs.SI]Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
• [econ.EM]Testing Forecast Rationality for Measures of Central Tendency
• [eess.AS]Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
• [eess.AS]Transferring neural speech waveform synthesizers to musical instrument sounds generation
• [eess.IV]A Soft STAPLE Algorithm Combined with Anatomical Knowledge
• [eess.IV]Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy
• [eess.IV]Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI
• [eess.IV]Dense Dilated Network with Probability Regularized Walk for Vessel Detection
• [eess.IV]Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
• [eess.IV]GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
• [eess.IV]Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
• [eess.IV]Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
• [eess.IV]Non-Local ConvLSTM for Video Compression Artifact Reduction
• [eess.IV]Outlining where humans live — The World Settlement Footprint 2015
• [eess.SP]A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
• [eess.SP]Automatic Mapping of the Indoor World with Personal Radars
• [eess.SP]Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
• [eess.SP]Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
• [eess.SP]Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks
• [eess.SP]Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals
• [eess.SY]Design, Implementation and Evaluation of a Variable Stiffness Transradial Hand Prosthesis
• [eess.SY]MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
• [math.NA]Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
• [math.OC]A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
• [math.OC]Minimizing a Sum of Clipped Convex Functions
• [math.OC]Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
• [math.PR]Limiting behavior of largest entry of random tensor constructed by high-dimensional data
• [math.ST]A simple measure of conditional dependence
• [math.ST]Density Power Downweighting and Robust Inference: Some New Strategies
• [math.ST]Finite Sample-Size Regime of Testing Against Independence with Communication Constraints
• [math.ST]Power analysis of knockoff filters for correlated designs
• [math.ST]Ridge-type Linear Shrinkage Estimation of the Matrix Mean of High-dimensional Normal Distribution
• [math.ST]Sequential Controlled Sensing for Composite Multihypothesis Testing
• [math.ST]Testing Equivalence of Clustering
• [nucl-th]Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
• [physics.geo-ph]Evidence for higher Earth-system sensitivity from long-term carbon-cycle observations
• [physics.optics]Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
• [quant-ph]A framework for deep energy-based reinforcement learning with quantum speed-up
• [stat.AP]A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
• [stat.AP]Accounting for Smoking in Forecasting Mortality and Life Expectancy
• [stat.AP]Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis
• [stat.AP]Correlated functional models with derivative information for modeling MFS data on rock art paintings
• [stat.AP]Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
• [stat.AP]Expected Hypothetical Completion Probability
• [stat.AP]Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualized neighbourhoods
• [stat.AP]Joint Analysis of Social and Item Response Networks with Latent Space Models
• [stat.AP]Population pharmacokinetics of levobupivacaine during a transversus abdominis plane block in children
• [stat.CO]Approximate Bayesian Computation with the Sliced-Wasserstein Distance
• [stat.CO]Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems
• [stat.ME]A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
• [stat.ME]A novel high-power test for continuous outcomes truncated by death
• [stat.ME]Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
• [stat.ME]An outlier-robust model averaging approach by Mallows-type criterion
• [stat.ME]Analysis of Two-Phase Studies using Generalized Method of Moments
• [stat.ME]Estimation and inference for the indirect effect in high-dimensional linear mediation models
• [stat.ME]Jackknife Model Averaging for Composite Quantile Regression
• [stat.ME]Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
• [stat.ME]Localised pruning for data segmentation based on multiscale change point procedures
• [stat.ME]Mean curvature and mean shape for multivariate functional data under Frenet-Serret framework
• [stat.ME]Missing Value Imputation for Mixed Data Through Gaussian Copula
• [stat.ME]On the asymptotic distribution of model averaging based on information criterion
• [stat.ME]Shape-Preserving Prediction for Stationary Functional Time Series
• [stat.ME]The conditional censored graphical lasso estimator
• [stat.ME]Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution
• [stat.ME]Zero-inflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data
• [stat.ME]f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
• [stat.ML]Adaptive Sampling for Estimating Multiple Probability Distributions
• [stat.ML]Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
• [stat.ML]Better Exploration with Optimistic Actor-Critic
• [stat.ML]Conditional Expectation Propagation
• [stat.ML]Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
• [stat.ML]Distance approximation using Isolation Forests
• [stat.ML]Dual IV: A Single Stage Instrumental Variable Regression
• [stat.ML]Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
• [stat.ML]On approximating $\nabla f$ with neural networks
• [stat.ML]On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
• [stat.ML]Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
• [stat.ML]Prior specification via prior predictive matching: Poisson matrix factorization and beyond
• [stat.ML]Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
• [stat.ML]Stein Variational Gradient Descent With Matrix-Valued Kernels
• [stat.ML]Understanding and Quantifying Adversarial Examples Existence in Linear Classification
·····································
• [cond-mat.dis-nn]The spectral dimension of simplicial complexes: a renormalization group theory
Ginestra Bianconi, Sergey N. Dorogovtsev
http://arxiv.org/abs/1910.12566v1
• [cond-mat.soft]Analytical classical density functionals from an equation learning network
Shang-Chun Lin, Georg Martius, Martin Oettel
http://arxiv.org/abs/1910.12752v1
• [cs.AI]A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese, Russa Biswas, Mehwish Alam, Harald Sack
http://arxiv.org/abs/1910.12507v1
• [cs.AI]D-Point Trigonometric Path Planning based on Q-Learning in Uncertain Environments
Ehsan Jeihaninejad, Azam Rabiee
http://arxiv.org/abs/1910.12020v1
• [cs.AI]Long-term Joint Scheduling for Urban Traffic
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
http://arxiv.org/abs/1910.12283v1
• [cs.AI]On the Efficiency of the Neuro-Fuzzy Classifier for User Knowledge Modeling Systems
Ehsan Jeihaninejad, Azam Rabiee
http://arxiv.org/abs/1910.12025v1
• [cs.CL]A Comparison of Neural Network Training Methods for Text Classification
Anderson de Andrade
http://arxiv.org/abs/1910.12674v1
• [cs.CL]Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis
Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li
http://arxiv.org/abs/1910.12698v1
• [cs.CL]Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
Nasser Zalmout, Nizar Habash
http://arxiv.org/abs/1910.12702v1
• [cs.CL]Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
http://arxiv.org/abs/1910.12419v1
• [cs.CL]Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs, Cynthia Van Hee, Els Lefever, Bart Desmet, Véronique Hoste, Walter Daelemans
http://arxiv.org/abs/1910.11922v1
• [cs.CL]Disinformation Detection: A review of linguistic feature selection and classification models in news veracity assessments
Jillian Tompkins
http://arxiv.org/abs/1910.12073v1
• [cs.CL]Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
Vaibhav Vaibhav, Raghuram Mandyam Annasamy, Eduard Hovy
http://arxiv.org/abs/1910.12203v1
• [cs.CL]Evaluating Lottery Tickets Under Distributional Shifts
Shrey Desai, Hongyuan Zhan, Ahmed Aly
http://arxiv.org/abs/1910.12708v1
• [cs.CL]Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher
http://arxiv.org/abs/1910.12840v1
• [cs.CL]Exploring Author Context for Detecting Intended vs Perceived Sarcasm
Silviu Oprea, Walid Magdy
http://arxiv.org/abs/1910.11932v1
• [cs.CL]Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney
http://arxiv.org/abs/1910.12554v1
• [cs.CL]FineText: Text Classification via Attention-based Language Model Fine-tuning
Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare
http://arxiv.org/abs/1910.11959v1
• [cs.CL]Induced Inflection-Set Keyword Search in Speech
Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, David Yarowsky
http://arxiv.org/abs/1910.12299v1
• [cs.CL]Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy
Laura Hollink, Aysenur Bilgin, Jacco van Ossenbruggen
http://arxiv.org/abs/1910.12619v1
• [cs.CL]Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He
http://arxiv.org/abs/1910.12038v1
• [cs.CL]Look-up and Adapt: A One-shot Semantic Parser
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell
http://arxiv.org/abs/1910.12197v1
• [cs.CL]Memeify: A Large-Scale Meme Generation System
Suryatej Reddy Vyalla, Vishaal Udandarao
http://arxiv.org/abs/1910.12279v1
• [cs.CL]Modeling Inter-Speaker Relationship in XLNet for Contextual Spoken Language Understanding
Jonggu Kim, Jong-Hyeok Lee
http://arxiv.org/abs/1910.12531v1
• [cs.CL]Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei
http://arxiv.org/abs/1910.12477v1
• [cs.CL]Multitask Learning For Different Subword Segmentations In Neural Machine Translation
Tejas Srinivasan, Ramon Sanabria, Florian Metze
http://arxiv.org/abs/1910.12368v1
• [cs.CL]Open the Boxes of Words: Incorporating Sememes into Textual Adversarial Attack
Yuan Zang, Chenghao Yang, Fanchao Qi, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun
http://arxiv.org/abs/1910.12196v1
• [cs.CL]RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search
Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan
http://arxiv.org/abs/1910.12527v1
• [cs.CL]Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-shan Lee
http://arxiv.org/abs/1910.12740v1
• [cs.CL]SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
Saeed Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou
http://arxiv.org/abs/1910.12180v1
• [cs.CL]Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
Vladislav Kurenkov, Bulat Maksudov, Adil Khan
http://arxiv.org/abs/1910.12354v1
• [cs.CL]Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer
http://arxiv.org/abs/1910.12366v1
• [cs.CL]Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-shan Lee
http://arxiv.org/abs/1910.12729v1
• [cs.CL]Training ASR models by Generation of Contextual Information
Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
http://arxiv.org/abs/1910.12367v1
• [cs.CL]ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
Juraj Juraska, Kevin K. Bowden, Marilyn Walker
http://arxiv.org/abs/1910.12129v1
• [cs.CL]What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang
http://arxiv.org/abs/1910.12391v1
• [cs.CL]Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
Gabriel Stanovsky, Ronen Tamari
http://arxiv.org/abs/1910.11966v1
• [cs.CR]An investigation of MMM Ponzi scheme on Bitcoin
Yazan Boshmaf, Charitha Elvitigala, Husam Al Jawaheri, Primal Wijesekera, Mashael Al Sabah
http://arxiv.org/abs/1910.12244v1
• [cs.CR]Protecting Personal Data using Smart Contracts
Mohsin Ur Rahman, Fabrizio Baiardi, Barbara Guidi, Laura Ricci
http://arxiv.org/abs/1910.12298v1
• [cs.CR]Secure Evaluation of Quantized Neural Networks
Anders Dalskov, Daniel Escudero, Marcel Keller
http://arxiv.org/abs/1910.12435v1
• [cs.CR]User Data Sharing Frameworks: A Blockchain-Based Incentive Solution
Ajay Kumar Shrestha, Julita Vassileva
http://arxiv.org/abs/1910.11927v1
• [cs.CV]A Preliminary Study on Optimal Placement of Cameras
Lin Xu
http://arxiv.org/abs/1910.12053v1
• [cs.CV]AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose
Ju Yong Chang, Gyeongsik Moon, Kyoung Mu Lee
http://arxiv.org/abs/1910.12029v1
• [cs.CV]Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
http://arxiv.org/abs/1910.12585v1
• [cs.CV]Adversarial Defense Via Local Flatness Regularization
Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia
http://arxiv.org/abs/1910.12165v1
• [cs.CV]Applications of Generative Adversarial Models in Visual Search Reformulation
Kyle Xiao, Houdong Hu, Yan Wang
http://arxiv.org/abs/1910.12460v1
• [cs.CV]Deep Learning Models for Digital Pathology
Aïcha BenTaieb, Ghassan Hamarneh
http://arxiv.org/abs/1910.12329v1
• [cs.CV]Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
François Waldner, Foivos Diakogiannis
http://arxiv.org/abs/1910.12023v1
• [cs.CV]Diverse Video Captioning Through Latent Variable Expansion with Conditional GAN
Huanhou Xiao, Jinglun Shi
http://arxiv.org/abs/1910.12019v1
• [cs.CV]ETNet: Error Transition Network for Arbitrary Style Transfer
Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang
http://arxiv.org/abs/1910.12056v1
• [cs.CV]Exploring 3 R’s of Long-term Tracking: Re-detection, Recovery and Reliability
Shyamgopal Karthik, Abhinav Moudgil, Vineet Gandhi
http://arxiv.org/abs/1910.12273v1
• [cs.CV]FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian
http://arxiv.org/abs/1910.12100v1
• [cs.CV]Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
http://arxiv.org/abs/1910.12713v1
• [cs.CV]Fine-Grained Object Detection over Scientific Document Images with Region Embeddings
Ankur Goswami, Joshua McGrath, Shanan Peters, Theodoros Rekatsinas
http://arxiv.org/abs/1910.12462v1
• [cs.CV]Fine-Grained Visual Recognition with Batch Confusion Norm
Yen-Chi Hsu, Cheng-Yao Hong, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
http://arxiv.org/abs/1910.12423v1
• [cs.CV]FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
Xiyan Liu, Gaofeng Meng, Shiming Xiang, Chunhong Pan
http://arxiv.org/abs/1910.12604v1
• [cs.CV]HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation
Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
http://arxiv.org/abs/1910.12032v1
• [cs.CV]Hierarchical Clustering-guided re-ID with Triplet loss
Kaiwei Zeng
http://arxiv.org/abs/1910.12278v1
• [cs.CV]Human Keypoint Detection by Progressive Context Refinement
Jing Zhang, Zhe Chen, Dacheng Tao
http://arxiv.org/abs/1910.12223v1
• [cs.CV]Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
Assia Benbihi, Matthieu Geist, Cédric Pradalier
http://arxiv.org/abs/1910.12468v1
• [cs.CV]Learning Disentangled Representation for Robust Person Re-identification
Chanho Eom. Bumsub Ham
http://arxiv.org/abs/1910.12003v1
• [cs.CV]Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019
Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao
http://arxiv.org/abs/1910.12044v1
• [cs.CV]Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
Gal Sadeh Kenigsfield, Ran El-Yaniv
http://arxiv.org/abs/1910.12324v1
• [cs.CV]MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu, Xiaoming Mei, Haifeng Li
http://arxiv.org/abs/1910.12060v1
• [cs.CV]MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
Rongcheng Lin, Jing Xiao, Jianping Fan
http://arxiv.org/abs/1910.12295v1
• [cs.CV]Multi-Resolution Overlapping Stripes Network for Person Re-Identification
Arda Efe Okay, Manal AlGhamdi, Robert Westendorp, Mohamed Abdel-Mottaleb
http://arxiv.org/abs/1910.12322v1
• [cs.CV]Multi-source Domain Adaptation for Semantic Segmentation
Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer
http://arxiv.org/abs/1910.12181v1
• [cs.CV]Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model
Liang Shen, Jiahua Zhu, Chongyi Fan, Xiaotao Huang, Tian Jin
http://arxiv.org/abs/1910.11981v1
• [cs.CV]Prediction stability as a criterion in active learning
Junyu Liu, Xiang Li, Jin Wang, Jiqiang Zhou, Jianxiong Shen
http://arxiv.org/abs/1910.12246v1
• [cs.CV]Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel
http://arxiv.org/abs/1910.12384v1
• [cs.CV]Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai
http://arxiv.org/abs/1910.12037v1
• [cs.CV]SENSE: a Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz
http://arxiv.org/abs/1910.12361v1
• [cs.CV]Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
Venkatesh R, Anand Metha
http://arxiv.org/abs/1910.12206v1
• [cs.CV]Self-supervised learning of class embeddings from video
Olivia Wiles, A. Sophia Koepke, Andrew Zisserman
http://arxiv.org/abs/1910.12699v1
• [cs.CV]Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
http://arxiv.org/abs/1910.12770v1
• [cs.CV]Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation
Martin Hirzer, Peter M. Roth, Vincent Lepetit
http://arxiv.org/abs/1910.12257v1
• [cs.CV]Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
Mathews Jacob, Merry P. Mani, Jong Chul Ye
http://arxiv.org/abs/1910.12162v1
• [cs.CV]The Quo Vadis submission at Traffic4cast 2019
Dan Oneata, Cosmin George Alexandru, Marius Stanescu, Octavian Pascu, Alexandru Magan, Adrian Postelnicu, Horia Cucu
http://arxiv.org/abs/1910.12363v1
• [cs.CV]Use of a Capsule Network to Detect Fake Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
http://arxiv.org/abs/1910.12467v1
• [cs.CV]Virtual Piano using Computer Vision
Seongjae Kang, Jaeyoon Kim, Sung-eui Yoon
http://arxiv.org/abs/1910.12539v1
• [cs.CV]Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
Alireza Chamanzar, Yao Nie
http://arxiv.org/abs/1910.12326v1
• [cs.CY]A Triangulated Model to Assess Adoption of Virtual Learning Environements in Primary Schools
Elena Codreanu, Christine Michel, Marc-Eric Bobiller-Chaumon, Olivier Vigneau
http://arxiv.org/abs/1910.12859v1
• [cs.CY]AI Ethics in Industry: A Research Framework
Ville Vakkuri, Kai-Kristian Kemell, Pekka Abrahamsson
http://arxiv.org/abs/1910.12695v1
• [cs.CY]Fostering Peer Learning through a New Game-Theoretical Approach in a Blended Learning Environment
Seyede Fatemeh Noorani, Mohammad Hossein Manshaei, Mohammad Ali Montazeri, Behnaz Omoomi
http://arxiv.org/abs/1910.12235v1
• [cs.CY]Learning Fair and Interpretable Representations via Linear Orthogonalization
Yuzi He, Keith Burghardt, Kristina Lerman
http://arxiv.org/abs/1910.12854v1
• [cs.DC]Annual Interruption Rate as a KPI, its measurement and comparison
Rohit Pandey, Yingnong Dang, Ali Vira, Aerin Kim, Gil Lapid Shafriri, Murali Chintalapati
http://arxiv.org/abs/1910.12200v1
• [cs.DC]Introduction to local certification
Laurent Feuilloley
http://arxiv.org/abs/1910.12747v1
• [cs.DC]Massively Parallel Algorithms for String Matching with Wildcards
MohammadTaghi Hajiaghayi, Hamed Saleh, Saeed Seddighin, Xiaorui Sun
http://arxiv.org/abs/1910.11829v2
• [cs.DC]Semi-Asymmetric Parallel Graph Algorithms for NVRAMs
Laxman Dhulipala, Charlie McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun
http://arxiv.org/abs/1910.12310v1
• [cs.DS]Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs
Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel
http://arxiv.org/abs/1910.12340v1
• [cs.GT]Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
http://arxiv.org/abs/1910.12450v1
• [cs.HC]Human-AI Co-Learning for Data-Driven AI
Yi-Ching Huang, Yu-Ting Cheng, Lin-Lin Chen, Jane Yung-jen Hsu
http://arxiv.org/abs/1910.12544v1
• [cs.HC]Information Seeking and Information Processing Behaviors Among Type 2 Diabetics
Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S Valdez
http://arxiv.org/abs/1910.12444v1
• [cs.IR]A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan
http://arxiv.org/abs/1910.12757v1
• [cs.IR]Empirical Analysis of Session-Based Recommendation Algorithms
Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach
http://arxiv.org/abs/1910.12781v1
• [cs.IR]Online News Media Website Ranking Using User Generated Content
Samaneh Karimi, Azadeh Shakery, Rakesh Verma
http://arxiv.org/abs/1910.12441v1
• [cs.IR]The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov
http://arxiv.org/abs/1910.12274v1
• [cs.IR]The Performance Envelope of Inverted Indexing on Modern Hardware
Jimmy Lin, Lori Paniak, Gordon Boerke
http://arxiv.org/abs/1910.11028v2
• [cs.IT]A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
Hoon Lee, Tony Q. S. Quek, Sang Hyun Lee
http://arxiv.org/abs/1910.12048v1
• [cs.IT]A class of functions with low-valued Walsh spectrum
Fengwei Li, Yansheng Wu, Qin Yue
http://arxiv.org/abs/1910.12036v1
• [cs.IT]Deep Joint Source-Channel Coding for Wireless Image Retrieval
Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
http://arxiv.org/abs/1910.12703v1
• [cs.IT]Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
Jing Bai, Yongchao Wang, Qingjiang Shi
http://arxiv.org/abs/1910.12712v1
• [cs.IT]Full-Duplex Enabled Mobile Edge Caching: From Distributed to Cooperative Caching
Thang X. Vu, Symeon Chatzinotas, Björn Ottersten, Anh Vu Trinh
http://arxiv.org/abs/1910.12716v1
• [cs.IT]Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection
J. Chae, S. -N. Hong
http://arxiv.org/abs/1910.12512v1
• [cs.IT]LCD Matrix-Product Codes over Commutative Rings
Abdulaziz Deajim, Mohamed Bouye
http://arxiv.org/abs/1910.12440v1
• [cs.IT]Latency and timeliness in multi-hop satellite networks
Beatriz Soret, Sucheta Ravikanti, Petar Popovski
http://arxiv.org/abs/1910.12767v1
• [cs.IT]Massive Access for Future Wireless Communication Systems
Yongpeng Wu, Xiqi Gao, Shidong Zhou, Wei Yang, Yury Polyanskiy, Giuseppe Caire
http://arxiv.org/abs/1910.12678v1
• [cs.IT]New quaternary codes derived from posets of the disjoint union of two chains
Xiaomeng Zhu, Yansheng Wu, Qin Yue
http://arxiv.org/abs/1910.12242v1
• [cs.IT]On the Storage Cost of Private Information Retrieval
Chao Tian
http://arxiv.org/abs/1910.11973v1
• [cs.IT]Optimal $k$-Deletion Correcting Codes
Jin Sima, Jehoshua Bruck
http://arxiv.org/abs/1910.12247v1
• [cs.IT]Secret Key Generation via Pulse-Coupled Synchronization
Hessam Mahdavifar, Najme Ebrahimi
http://arxiv.org/abs/1910.12178v1
• [cs.IT]Small Memory Robust Simulation of Client-Server Interactive Protocols over Oblivious Noisy Channels
T-H. Hubert Chan, Zhibin Liang, Antigoni Polychroniadou, Elaine Shi
http://arxiv.org/abs/1910.12175v1
• [cs.IT]Spatially Coupled LDPC Codes with Sub-Block Locality
Eshed Ram, Yuval Cassuto
http://arxiv.org/abs/1910.12217v1
• [cs.IT]Stochastic Geometry Analysis of Hybrid Aerial Terrestrial Networks with mmWave Backhauling
Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Khlood Alshaikh, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
http://arxiv.org/abs/1910.12035v1
• [cs.IT]Zero-Error Capacity of Multiple Access Channels via Nonstochastic Information
Ghassen Zafzouf, Girish N. Nair, Jamie S. Evans
http://arxiv.org/abs/1910.12328v1
• [cs.LG]A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola
http://arxiv.org/abs/1910.12853v1
• [cs.LG]A geometric interpretation of stochastic gradient descent using diffusion metrics
R. Fioresi, P. Chaudhari, S. Soatto
http://arxiv.org/abs/1910.12194v1
• [cs.LG]Adaptive Loss Scaling for Mixed Precision Training
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed
http://arxiv.org/abs/1910.12385v1
• [cs.LG]Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi, Kfir. Y. Levy, Stefanie Jegelka, Andreas Krause
http://arxiv.org/abs/1910.12511v1
• [cs.LG]An Active Approach for Model Interpretation
Jialin Lu, Martin Ester
http://arxiv.org/abs/1910.12207v1
• [cs.LG]An Adaptive and Momental Bound Method for Stochastic Learning
Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun
http://arxiv.org/abs/1910.12249v1
• [cs.LG]An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim
http://arxiv.org/abs/1910.12806v1
• [cs.LG]Asynchronous Methods for Model-Based Reinforcement Learning
Yunzhi Zhang, Ignasi Clavera, Boren Tsai, Pieter Abbeel
http://arxiv.org/abs/1910.12453v1
• [cs.LG]Attention for Inference Compilation
William Harvey, Andreas Munk, Atılım Güneş Baydin, Alexander Bergholm, Frank Wood
http://arxiv.org/abs/1910.11961v1
• [cs.LG]Attenuating Random Noise in Seismic Data by a Deep Learning Approach
Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, Xiaoyang Li
http://arxiv.org/abs/1910.12800v1
• [cs.LG]BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Qing Deng, Keith Ross
http://arxiv.org/abs/1910.12179v1
• [cs.LG]Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Soumyasundar Pal, Florence Regol, Mark Coates
http://arxiv.org/abs/1910.12132v1
• [cs.LG]Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach
http://arxiv.org/abs/1910.12656v1
• [cs.LG]CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab, Walter Karlen
http://arxiv.org/abs/1910.12336v1
• [cs.LG]Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS
Shengyi Huang, Santiago Ontañón
http://arxiv.org/abs/1910.12134v1
• [cs.LG]Compressed Sensing with Probability-based Prior Information
Q. Jiang, S. Li, Z. Zhu, H. Bai, X. He, R. C. de Lamare
http://arxiv.org/abs/1910.12258v1
• [cs.LG]Consistency Regularization for Generative Adversarial Networks
Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee
http://arxiv.org/abs/1910.12027v1
• [cs.LG]Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
http://arxiv.org/abs/1910.12156v1
• [cs.LG]Cross-Channel Intragroup Sparsity Neural Network
Zhilin Yu, Chao Wang, Qing Wu, Yong Zhao, Xundong Wu
http://arxiv.org/abs/1910.11971v1
• [cs.LG]Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu
http://arxiv.org/abs/1910.12031v1
• [cs.LG]Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
Andreas Munk, Adam Ścibior, Atılım Güneş Baydin, Andrew Stewart, Goran Fernlund, Anoush Poursartip, Frank Wood
http://arxiv.org/abs/1910.11950v1
• [cs.LG]Deep causal representation learning for unsupervised domain adaptation
Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
http://arxiv.org/abs/1910.12417v1
• [cs.LG]Deep convolutional autoencoder for cryptocurrency market analysis
Vladimir Puzyrev
http://arxiv.org/abs/1910.12281v1
• [cs.LG]Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
http://arxiv.org/abs/1910.12084v1
• [cs.LG]Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter
http://arxiv.org/abs/1910.12430v1
• [cs.LG]Differentially Private Distributed Data Summarization under Covariate Shift
Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu, Ashish Jagmohan, Roman Vaculin
http://arxiv.org/abs/1910.12832v1
• [cs.LG]Distributed Estimation via Network Regularization
Lingzhou Hong, Alfredo Garcia, Ceyhun Eksin
http://arxiv.org/abs/1910.12783v1
• [cs.LG]EdgeFool: An Adversarial Image Enhancement Filter
Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro
http://arxiv.org/abs/1910.12227v1
• [cs.LG]Empirical Differential Privacy
Paul Burchard, Anthony Daoud
http://arxiv.org/abs/1910.12820v1
• [cs.LG]Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine
http://arxiv.org/abs/1910.12827v1
• [cs.LG]FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec, Zheng Shi, Neil Deshmukh, Shamim Pakzad, Martin Takac
http://arxiv.org/abs/1910.12680v1
• [cs.LG]Fair Generative Modeling via Weak Supervision
Aditya Grover, Kristy Choi, Rui Shu, Stefano Ermon
http://arxiv.org/abs/1910.12008v1
• [cs.LG]Fast classification rates without standard margin assumptions
Olivier Bousquet, Nikita Zhivotovskiy
http://arxiv.org/abs/1910.12756v1
• [cs.LG]Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Shabir Moosa, Haithum Elhadi, Michel Makhlouf
http://arxiv.org/abs/1910.12191v1
• [cs.LG]Generative Well-intentioned Networks
Justin Cosentino, Jun Zhu
http://arxiv.org/abs/1910.12481v1
• [cs.LG]Growing axons: greedy learning of neural networks with application to function approximation
Daria Fokina, Ivan Oseledets
http://arxiv.org/abs/1910.12686v1
• [cs.LG]HIDRA: Head Initialization across Dynamic targets for Robust Architectures
Rafael Rego Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme
http://arxiv.org/abs/1910.12749v1
• [cs.LG]Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin Yu, Yizhou Chen, Zhongxiang Dai, Kian Hsiang Low, Patrick Jaillet
http://arxiv.org/abs/1910.11998v1
• [cs.LG]Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang
http://arxiv.org/abs/1910.12166v1
• [cs.LG]Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
http://arxiv.org/abs/1910.11945v1
• [cs.LG]Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
http://arxiv.org/abs/1910.12316v1
• [cs.LG]Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
http://arxiv.org/abs/1910.12370v1
• [cs.LG]Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf, Wittawat Jitkrittum
http://arxiv.org/abs/1910.12252v1
• [cs.LG]**LReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
Mina Basirat, Peter M. Roth
http://arxiv.org/abs/1910.12259v1
• [cs.LG]Landmark Ordinal Embedding
Nikhil Ghosh, Yuxin Chen, Yisong Yue
http://arxiv.org/abs/1910.12379v1
• [cs.LG]Layer Pruning for Accelerating Very Deep Neural Networks
Weiwei Zhang, Changsheng chen, Xuechun Wu, Jialin Gao, Di Bao, Jiwei Li, Xi Zhou
http://arxiv.org/abs/1910.12727v1
• [cs.LG]Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom Mitchell, Eric P. Xing
http://arxiv.org/abs/1910.12795v1
• [cs.LG]Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
http://arxiv.org/abs/1910.12469v1
• [cs.LG]Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond
Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni
http://arxiv.org/abs/1910.12414v1
• [cs.LG]Minimax Weight and Q-Function Learning for Off-Policy Evaluation
Masatoshi Uehara, Nan Jiang
http://arxiv.org/abs/1910.12809v1
• [cs.LG]Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando, Jose A. Rodriguez, Jordi Vitria, Alberto Rubio
http://arxiv.org/abs/1910.12288v1
• [cs.LG]Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song
http://arxiv.org/abs/1910.11958v1
• [cs.LG]Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
Jörg K. H. Franke, Gregor Köhler, Noor Awad, Frank Hutter
http://arxiv.org/abs/1910.12824v1
• [cs.LG]Neural Network Distiller: A Python Package For DNN Compression Research
Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik
http://arxiv.org/abs/1910.12232v1
• [cs.LG]On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
http://arxiv.org/abs/1910.11914v1
• [cs.LG]Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi
http://arxiv.org/abs/1910.12424v1
• [cs.LG]PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views
Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
http://arxiv.org/abs/1910.12001v1
• [cs.LG]PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang, Justin M. Solomon
http://arxiv.org/abs/1910.12240v1
• [cs.LG]PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems
Alexander Potapov, Ian Colbert, Ken Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
http://arxiv.org/abs/1910.12454v1
• [cs.LG]PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raul Santos-Rodriguez
http://arxiv.org/abs/1910.12548v1
• [cs.LG]PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh
http://arxiv.org/abs/1910.12308v1
• [cs.LG]Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Danhao Zhu, Xin-yu Dai, Jiajun Chen
http://arxiv.org/abs/1910.12241v1
• [cs.LG]Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
http://arxiv.org/abs/1910.11956v1
• [cs.LG]SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar
http://arxiv.org/abs/1910.12024v1
• [cs.LG]Same-Cluster Querying for Overlapping Clusters
Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
http://arxiv.org/abs/1910.12490v1
• [cs.LG]Semi-Implicit Stochastic Recurrent Neural Networks
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
http://arxiv.org/abs/1910.12819v1
• [cs.LG]Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
Zhengxuan Ling, Xinyu Tao, Yu Zhang, Xi Chen
http://arxiv.org/abs/1910.12243v1
• [cs.LG]Spectral Algorithm for Low-rank Multitask Regression
Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
http://arxiv.org/abs/1910.12204v1
• [cs.LG]Tensor Q-Rank: A New Data Dependent Tensor Rank
Hao Kong, Zhouchen Lin
http://arxiv.org/abs/1910.12016v1
• [cs.LG]The Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
Seung Joon Nam, Han Min Kim, Thomas Kang, Cheol Young Park
http://arxiv.org/abs/1910.12748v1
• [cs.LG]TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo
http://arxiv.org/abs/1910.12306v1
• [cs.LG]Understanding Isomorphism Bias in Graph Data Sets
Sergei Ivanov, Sergei Sviridov, Evgeny Burnaev
http://arxiv.org/abs/1910.12091v1
• [cs.LG]Variable Selection with Copula Entropy
Ma Jian
http://arxiv.org/abs/1910.12389v1
• [cs.LG]Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajith Kumar
http://arxiv.org/abs/1910.12061v1
• [cs.LG]ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Daniel Seita, David Chan, Roshan Rao, Chen Tang, Mandi Zhao, John Canny
http://arxiv.org/abs/1910.12154v1
• [cs.LO]Simplifying Neural Networks with the Marabou Verification Engine
Sumathi Gokulanathan, Alexander Feldsher, Adi Malca, Clark Barrett, Guy Katz
http://arxiv.org/abs/1910.12396v1
• [cs.MM]Automatic Reminiscence Therapy for Dementia
Mariona Caros, Maite Garolera, Petia Radeva, Xavier Giro-i-Nieto
http://arxiv.org/abs/1910.11949v1
• [cs.NE]CTNN: Corticothalamic-inspired neural network
Leendert A Remmelzwaal, Amit Mishra, George F R Ellis
http://arxiv.org/abs/1910.12492v1
• [cs.NE]Computational design of organic solar cell active layer through genetic algorithm
Caine Ardayfio
http://arxiv.org/abs/1910.12401v1
• [cs.NE]Making Predictive Coding Networks Generative
Jeff Orchard, Wei Sun
http://arxiv.org/abs/1910.12151v1
• [cs.NE]Swarm Behaviour Evolution via Rule Sharing and Novelty Search
Phillip Smith, Robert Hunjet, Aldeida Aleti, Asad Khan
http://arxiv.org/abs/1910.12412v1
• [cs.NE]Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
http://arxiv.org/abs/1910.12478v1
• [cs.NI]Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs
Maxime Mouchet, Sandrine Vaton, Thierry Chonavel, Emile Aben, Jasper den Hertog
http://arxiv.org/abs/1910.12714v1
• [cs.RO]Analysis on Advancement of Hybrid Fuzzy Sliding Mode Controllers for Nonlinear Systems
Mukhtar Fatihu Hamza, Abdulbasid Ismail Isa, Jamilu Kamilu Adamu
http://arxiv.org/abs/1910.12072v1
• [cs.RO]Driving Datasets Literature Review
Charles-Éric Noël Laflamme, François Pomerleau, Philippe Giguère
http://arxiv.org/abs/1910.11968v1
• [cs.RO]KETO: Learning Keypoint Representations for Tool Manipulation
Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese
http://arxiv.org/abs/1910.11977v1
• [cs.RO]Low-Cost GPS-Aided LiDAR State Estimation and Map Building
Linwei Zheng, Yilong Zhu, Bohuan Xue, Ming Liu, Rui Fan
http://arxiv.org/abs/1910.12731v1
• [cs.RO]Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator
Usman Kabir, Mukhtar Fatihu Hamza, Ado Haruna, Gaddafi Sani Shehu
http://arxiv.org/abs/1910.12076v1
• [cs.RO]Real-Time, Environmentally-Robust 3D LiDAR Localization
Yilong Zhu, Bohuan Xue, Linwei Zheng, Huaiyang Huang, Ming Liu, Rui Fan
http://arxiv.org/abs/1910.12728v1
• [cs.RO]Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
Phillip Smith, Aldeida Aleti, Vincent C. S. Lee, Robert Hunjet, Asad Khan
http://arxiv.org/abs/1910.12415v1
• [cs.RO]Robots as Actors in a Film: No War, A Robot Story
Andreagiovanni Reina, Viktor Ioannou, Junjin Chen, Lu Lu, Charles Kent, James A. R. Marshall
http://arxiv.org/abs/1910.12294v1
• [cs.RO]Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry
Rokas Jurevičius, Virginijus Marcinkevičius, Justinas Šeibokas
http://arxiv.org/abs/1910.12121v1
• [cs.RO]Task-Informed Fidelity Management for Speeding Up Robotics Simulation
Abhijeet Tallavajhula, Adrian Schoisengeier, Sung-Kyun Kim, Anirudh Vemula, Levi Lister, Oren Salzman
http://arxiv.org/abs/1910.12284v1
• [cs.SD]A holistic approach to polyphonic music transcription with neural networks
Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza
http://arxiv.org/abs/1910.12086v1
• [cs.SD]Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
Furkan Yesiler, Joan Serrà, Emilia Gómez
http://arxiv.org/abs/1910.12551v1
• [cs.SD]Interrupted and cascaded permutation invariant training for speech separation
Gene-Ping Yang, Szu-Lin Wu, Yao-Wen Mao, Hung-yi Lee, Lin-shan Lee
http://arxiv.org/abs/1910.12706v1
• [cs.SD]Meta Learning for End-to-End Low-Resource Speech Recognition
Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee
http://arxiv.org/abs/1910.12094v1
• [cs.SD]Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
Eduardo Fonseca, Frederic Font, Xavier Serra
http://arxiv.org/abs/1910.12004v1
• [cs.SD]Sound Event Recognition in a Smart City Surveillance Context
Tito Spadini, Dimitri Leandro de Oliveira Silva, Ricardo Suyama
http://arxiv.org/abs/1910.12369v1
• [cs.SD]Unsupervised pre-traing for sequence to sequence speech recognition
Zhiyun Fan, Shiyu Zhou, Bo Xu
http://arxiv.org/abs/1910.12418v1
• [cs.SI]A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
http://arxiv.org/abs/1910.12574v1
• [cs.SI]A framework for second order eigenvector centralities and clustering coefficients
Francesca Arrigo, Desmond J. Higham, Francesco Tudisco
http://arxiv.org/abs/1910.12711v1
• [cs.SI]CONNA: Addressing Name Disambiguation on The Fly
Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li
http://arxiv.org/abs/1910.12202v1
• [cs.SI]Maximizing Contrasting Opinions in Signed Social Networks
Kaivalya Rawal, Arijit Khan
http://arxiv.org/abs/1910.12017v1
• [cs.SI]Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
http://arxiv.org/abs/1910.12446v1
• [econ.EM]Testing Forecast Rationality for Measures of Central Tendency
Timo Dimitriadis, Andrew J. Patton, Patrick Schmidt
http://arxiv.org/abs/1910.12545v1
• [eess.AS]Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
Yusuke Yasuda, Xin Wang, Junichi Yamagishi
http://arxiv.org/abs/1910.12383v1
• [eess.AS]Transferring neural speech waveform synthesizers to musical instrument sounds generation
Yi Zhao, Xin Wang, Lauri Juvela, Junichi Yamagishi
http://arxiv.org/abs/1910.12381v1
• [eess.IV]A Soft STAPLE Algorithm Combined with Anatomical Knowledge
Eytan Kats, Jacob Goldberger, Hayit Greenspan
http://arxiv.org/abs/1910.12077v1
• [eess.IV]Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy
Debojyoti Mallick, Kundan Kumar, Sumanshu Agarwal
http://arxiv.org/abs/1910.12028v1
• [eess.IV]Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI
Mahdieh Shabanian, Eugene C. Eckstein, Hao Chen, John P. DeVincenzo
http://arxiv.org/abs/1910.12159v1
• [eess.IV]Dense Dilated Network with Probability Regularized Walk for Vessel Detection
Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu
http://arxiv.org/abs/1910.12010v1
• [eess.IV]Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study
Ata Jodeiri, Yoshito Otake, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano, Yoshinobu Sato
http://arxiv.org/abs/1910.12122v1
• [eess.IV]GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
http://arxiv.org/abs/1910.12325v1
• [eess.IV]Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
http://arxiv.org/abs/1910.12514v1
• [eess.IV]Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies
Guillaume Noyel, Jesus Angulo, Dominique Jeulin, Daniel Balvay, Charles-André Cuenod
http://arxiv.org/abs/1910.12704v1
• [eess.IV]Non-Local ConvLSTM for Video Compression Artifact Reduction
Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun
http://arxiv.org/abs/1910.12286v1
• [eess.IV]Outlining where humans live — The World Settlement Footprint 2015
Mattia Marconcini, Annekatrin Metz-Marconcini, Soner Üreyen, Daniela Palacios-Lopez, Wiebke Hanke, Felix Bachofer, Julian Zeidler, Thomas Esch, Noel Gorelick, Ashwin Kakarla, Emanuele Strano
http://arxiv.org/abs/1910.12707v1
• [eess.SP]A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck
http://arxiv.org/abs/1910.12346v1
• [eess.SP]Automatic Mapping of the Indoor World with Personal Radars
Anna Guerra, Francesco Guidi, Gianni Pasolini, Antonio Clemente, Raffaele D’Errico, Davide Dardari
http://arxiv.org/abs/1910.12810v1
• [eess.SP]Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch
http://arxiv.org/abs/1910.12359v1
• [eess.SP]Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
Chi Wu, Xinping Yi, Wenjin Wang, Li You, Qing Huang, Xiqi Gao
http://arxiv.org/abs/1910.12378v1
• [eess.SP]Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks
Khush Bakht, Furqan Jameel, Zain Ali, Wali Ullah Khan, Imran Khan, Guftaar Ahmad Sardar Sidhu, Jeong Woo Lee
http://arxiv.org/abs/1910.12657v1
• [eess.SP]Spectral Power Parameter Estimation of Random Sources with Binary Sampled Signals
Manuel S. Stein
http://arxiv.org/abs/1910.12309v1
• [eess.SY]Design, Implementation and Evaluation of a Variable Stiffness Transradial Hand Prosthesis
Elif Hocaoglu, Volkan Patoglu
http://arxiv.org/abs/1910.12569v1
• [eess.SY]MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Wenbo Zhang, Osbert Bastani
http://arxiv.org/abs/1910.12639v1
• [math.NA]Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition
Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik
http://arxiv.org/abs/1910.12331v1
• [math.OC]A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression
Jiajin Li, Sen Huang, Anthony Man-Cho So
http://arxiv.org/abs/1910.12778v1
• [math.OC]Minimizing a Sum of Clipped Convex Functions
Shane Barratt, Guillermo Angeris, Stephen Boyd
http://arxiv.org/abs/1910.12342v1
• [math.OC]Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona, Mathieu Laurière, Zongjun Tan
http://arxiv.org/abs/1910.12802v1
• [math.PR]Limiting behavior of largest entry of random tensor constructed by high-dimensional data
Tiefeng Jiang, Junshan Xie
http://arxiv.org/abs/1910.12701v1
• [math.ST]A simple measure of conditional dependence
Mona Azadkia, Sourav Chatterjee
http://arxiv.org/abs/1910.12327v1
• [math.ST]Density Power Downweighting and Robust Inference: Some New Strategies
Saptarshi Roy, Kaustav Chakraborty, Somnath Bhadra, Ayanendranath Basu
http://arxiv.org/abs/1910.12372v1
• [math.ST]Finite Sample-Size Regime of Testing Against Independence with Communication Constraints
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
http://arxiv.org/abs/1910.12831v1
• [math.ST]Power analysis of knockoff filters for correlated designs
Jingbo Liu, Philippe Rigollet
http://arxiv.org/abs/1910.12428v1
• [math.ST]Ridge-type Linear Shrinkage Estimation of the Matrix Mean of High-dimensional Normal Distribution
Ryota Yuasa, Tatsuya Kubokawa
http://arxiv.org/abs/1910.11984v1
• [math.ST]Sequential Controlled Sensing for Composite Multihypothesis Testing
Aditya Deshmukh, Srikrishna Bhashyam, Venugopal V. Veeravalli
http://arxiv.org/abs/1910.12697v1
• [math.ST]Testing Equivalence of Clustering
Chao Gao, Zongming Ma
http://arxiv.org/abs/1910.12797v1
• [nucl-th]Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
Léo Neufcourt, Yuchen Cao, Samuel Giuliani, Witold Nazarewicz, Erik Olsen, Oleg B. Tarasov
http://arxiv.org/abs/1910.12624v1
• [physics.geo-ph]Evidence for higher Earth-system sensitivity from long-term carbon-cycle observations
Tony E. Wong, Ying Cui, Dana L. Royer, Klaus Keller
http://arxiv.org/abs/1910.11987v1
• [physics.optics]Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning
Trevon Badloe, Inki Kim, Junsuk Rho
http://arxiv.org/abs/1910.12465v1
• [quant-ph]A framework for deep energy-based reinforcement learning with quantum speed-up
Sofiene Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko
http://arxiv.org/abs/1910.12760v1
• [stat.AP]A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
Satoshi Morita, Peter Müller, Hiroyasu Abe
http://arxiv.org/abs/1910.12174v1
• [stat.AP]Accounting for Smoking in Forecasting Mortality and Life Expectancy
Yicheng Li, Adrian E. Raftery
http://arxiv.org/abs/1910.12168v1
• [stat.AP]Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis
Johnatan Cardona Jiménez, Carlos A. de B. Pereira, Victor Fossaluza
http://arxiv.org/abs/1910.12058v1
• [stat.AP]Correlated functional models with derivative information for modeling MFS data on rock art paintings
Gabriel Riutort-Mayol, Virgilio Gómez-Rubio, José Luis Lerma, Julio M. del Hoyo-Meléndez
http://arxiv.org/abs/1910.12575v1
• [stat.AP]Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models
Belhal Karimi, Marc Lavielle
http://arxiv.org/abs/1910.12090v1
• [stat.AP]Expected Hypothetical Completion Probability
Sameer K. Deshpande, Katherine Evans
http://arxiv.org/abs/1910.12337v1
• [stat.AP]Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualized neighbourhoods
Paulien Hagedoorn, Peter Groenewegen, Hannah Roberts, Marco Helbich
http://arxiv.org/abs/1910.12487v1
• [stat.AP]Joint Analysis of Social and Item Response Networks with Latent Space Models
Selena Shuo Wang, Subhadeep Paul, Jessica Logan, Paul De Boeck
http://arxiv.org/abs/1910.12128v1
• [stat.AP]Population pharmacokinetics of levobupivacaine during a transversus abdominis plane block in children
Marc Vincent, Olivier Mathieu, Patrick Nolain, Cecilia Menacé, Sonia Khier
http://arxiv.org/abs/1910.12710v1
• [stat.CO]Approximate Bayesian Computation with the Sliced-Wasserstein Distance
Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Şimşekli
http://arxiv.org/abs/1910.12815v1
• [stat.CO]Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse Problems
Tiangang Cui, Gianluca Detommaso, Robert Scheichl
http://arxiv.org/abs/1910.12431v1
• [stat.ME]A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
Shuchi Goyal, Gauri Sankar Datta, Abhyuday Mandal
http://arxiv.org/abs/1910.12471v1
• [stat.ME]A novel high-power test for continuous outcomes truncated by death
Andreas Kryger Jensen, Theis Lange
http://arxiv.org/abs/1910.12267v1
• [stat.ME]Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
Zeda Li, Ori Rosen, Fabio Ferrarelli, Robert T. Krafty
http://arxiv.org/abs/1910.12126v1
• [stat.ME]An outlier-robust model averaging approach by Mallows-type criterion
Miaomiao Wang, Guohua Zou
http://arxiv.org/abs/1910.12210v1
• [stat.ME]Analysis of Two-Phase Studies using Generalized Method of Moments
Prosenjit Kundu, Nilanjan Chatterjee
http://arxiv.org/abs/1910.11991v1
• [stat.ME]Estimation and inference for the indirect effect in high-dimensional linear mediation models
Ruixuan Rachel Zhou, Liewei Wang, Sihai Dave Zhao
http://arxiv.org/abs/1910.12457v1
• [stat.ME]Jackknife Model Averaging for Composite Quantile Regression
Miaomiao Wang, Guohua Zou
http://arxiv.org/abs/1910.12209v1
• [stat.ME]Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
Nathan Kallus, Michele Santacatterina
http://arxiv.org/abs/1910.11972v1
• [stat.ME]Localised pruning for data segmentation based on multiscale change point procedures
Haeran Cho, Claudia Kirch
http://arxiv.org/abs/1910.12486v1
• [stat.ME]Mean curvature and mean shape for multivariate functional data under Frenet-Serret framework
Juhyun Park, Nicolas J-B. Brunel
http://arxiv.org/abs/1910.12049v1
• [stat.ME]Missing Value Imputation for Mixed Data Through Gaussian Copula
Yuxuan Zhao, Madeleine Udell
http://arxiv.org/abs/1910.12845v1
• [stat.ME]On the asymptotic distribution of model averaging based on information criterion
Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan, Guohua Zou
http://arxiv.org/abs/1910.12208v1
• [stat.ME]Shape-Preserving Prediction for Stationary Functional Time Series
Shuhao Jiao, Hernando Ombao
http://arxiv.org/abs/1910.12046v1
• [stat.ME]The conditional censored graphical lasso estimator
Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti
http://arxiv.org/abs/1910.12775v1
• [stat.ME]Univariate Likelihood Projections and Characterizations of the Multivariate Normal Distribution
Albert Vexler
http://arxiv.org/abs/1910.12394v1
• [stat.ME]Zero-inflated Poisson Factor Model with Application to Microbiome Absolute Abundance Data
Tianchen Xu, Ryan T. Demmer, Gen Li
http://arxiv.org/abs/1910.11985v1
• [stat.ME]f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
Belhal Karimi, Marc Lavielle, Eric Moulines
http://arxiv.org/abs/1910.12222v1
• [stat.ML]Adaptive Sampling for Estimating Multiple Probability Distributions
Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
http://arxiv.org/abs/1910.12406v1
• [stat.ML]Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
http://arxiv.org/abs/1910.12043v1
• [stat.ML]Better Exploration with Optimistic Actor-Critic
Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann
http://arxiv.org/abs/1910.12807v1
• [stat.ML]Conditional Expectation Propagation
Zheng Wang, Shandian Zhe
http://arxiv.org/abs/1910.12360v1
• [stat.ML]Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Taiji Suzuki, Atsushi Nitanda
http://arxiv.org/abs/1910.12799v1
• [stat.ML]Distance approximation using Isolation Forests
David Cortes
http://arxiv.org/abs/1910.12362v1
• [stat.ML]Dual IV: A Single Stage Instrumental Variable Regression
Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
http://arxiv.org/abs/1910.12358v1
• [stat.ML]Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Wei Ma, George H. Chen
http://arxiv.org/abs/1910.12774v1
• [stat.ML]On approximating $\nabla f$ with neural networks
Saeed Saremi
http://arxiv.org/abs/1910.12744v1
• [stat.ML]On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
http://arxiv.org/abs/1910.12521v1
• [stat.ML]Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
Yan Shuo Tan, Roman Vershynin
http://arxiv.org/abs/1910.12837v1
• [stat.ML]Prior specification via prior predictive matching: Poisson matrix factorization and beyond
Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami
http://arxiv.org/abs/1910.12263v1
• [stat.ML]Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
Christian Soize, Roger Ghanem
http://arxiv.org/abs/1910.12717v1
• [stat.ML]Stein Variational Gradient Descent With Matrix-Valued Kernels
Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
http://arxiv.org/abs/1910.12794v1
• [stat.ML]Understanding and Quantifying Adversarial Examples Existence in Linear Classification
Xupeng Shi, A. Adam Ding
http://arxiv.org/abs/1910.12163v1