cond-mat.dis-nn - 无序系统与神经网络
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.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 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.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AP - 偏微分方程分析 math.CO - 组合数学 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks
• [cs.AI]Deep Crowd-Flow Prediction in Built Environments
• [cs.CL]Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
• [cs.CL]Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality
• [cs.CL]Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
• [cs.CL]From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
• [cs.CL]Improving Question Generation With to the Point Context
• [cs.CL]Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization
• [cs.CL]Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
• [cs.CL]Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
• [cs.CL]Q8BERT: Quantized 8Bit BERT
• [cs.CL]Restoring ancient text using deep learning: a case study on Greek epigraphy
• [cs.CL]STANCY: Stance Classification Based on Consistency Cues
• [cs.CL]SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text
• [cs.CL]Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
• [cs.CL]Transformers without Tears: Improving the Normalization of Self-Attention
• [cs.CL]Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
• [cs.CL]VAIS ASR: Building a conversational speech recognition system using language model combination
• [cs.CL]VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination
• [cs.CL]VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning
• [cs.CL]Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
• [cs.CL]vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
• [cs.CR]Comment on “AndrODet: An adaptive Android obfuscation detector”
• [cs.CR]Using AI/ML to gain situational understanding from passive network observations
• [cs.CV]A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata
• [cs.CV]A New Local Transformation Module for Few-shot Segmentation
• [cs.CV]A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning
• [cs.CV]An Efficient Tensor Completion Method via New Latent Nuclear Norm
• [cs.CV]Combinational Class Activation Maps for Weakly Supervised Object Localization
• [cs.CV]Complement Face Forensic Detection and Localization with FacialLandmarks
• [cs.CV]Context-Gated Convolution
• [cs.CV]Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
• [cs.CV]Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
• [cs.CV]Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
• [cs.CV]Distribution-Aware Coordinate Representation for Human Pose Estimation
• [cs.CV]Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
• [cs.CV]Dynamic Attention Networks for Task Oriented Grounding
• [cs.CV]Encoder-Decoder based CNN and Fully Connected CRFs for Remote Sensed Image Segmentation
• [cs.CV]Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection
• [cs.CV]Facial Emotion Recognition using Convolutional Neural Networks
• [cs.CV]Facial Expression Recognition Using Human to Animated-Character Expression Translation
• [cs.CV]Frustum VoxNet for 3D object detection from RGB-D or Depth images
• [cs.CV]FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
• [cs.CV]Granular Multimodal Attention Networks for Visual Dialog
• [cs.CV]Hierarchical Feature-Aware Correlation Filter for Efficient Visual Tracking
• [cs.CV]How are attributes expressed in face DCNNs?
• [cs.CV]ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks
• [cs.CV]Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
• [cs.CV]KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
• [cs.CV]Mask-Guided Attention Network for Occluded Pedestrian Detection
• [cs.CV]Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation
• [cs.CV]Multi-view consensus CNN for 3D facial landmark placement
• [cs.CV]NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
• [cs.CV]OmniTrack: Real-time detection and tracking of objects, text and logos in video
• [cs.CV]One-Shot Neural Architecture Search via Self-Evaluated Template Network
• [cs.CV]Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos
• [cs.CV]RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
• [cs.CV]ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
• [cs.CV]Real-world attack on MTCNN face detection system
• [cs.CV]Saliency Guided Self-attention Network for Weakly-supervised Semantic Segmentation
• [cs.CV]Sketch-Specific Data Augmentation for Freehand Sketch Recognition
• [cs.CV]Slope Difference Distribution and Its Computer Vision Applications
• [cs.CV]Spoofing and Anti-Spoofing with Wax Figure Faces
• [cs.CV]Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
• [cs.CV]Template-Instance Loss for Offline Handwritten Chinese Character Recognition
• [cs.CV]TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation
• [cs.CV]Unsupervised Multi-stream Highlight detection for the Game “Honor of Kings”
• [cs.CV]What happens when self-supervision meets Noisy Labels?
• [cs.CV]What’s in my Room? Object Recognition on Indoor Panoramic Images
• [cs.CY]Blockchain 3.0 Smart Contracts in E-Government 3.0 Applications
• [cs.CY]Microservices based Linked Data Quality Model for Buildings Energy Management Services
• [cs.CY]Shared E-scooters: Business, Pleasure, or Transit?
• [cs.DC]A High-Throughput Solver for Marginalized Graph Kernels on GPU
• [cs.DC]Byzantine Generalized Lattice Agreement
• [cs.DC]DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems
• [cs.DC]DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
• [cs.DC]EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
• [cs.DC]HyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains
• [cs.DC]In Search of a Fast and Efficient Serverless DAG Engine
• [cs.DC]Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
• [cs.DC]Persistence and Big Data Analytics Architectures for Smart Connected Vehicles
• [cs.DC]Situation-aware Re-configuration of Production Processes
• [cs.DC]eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference
• [cs.DS]Near-Optimal Massively Parallel Graph Connectivity
• [cs.DS]The PGM-index: a multicriteria, compressed and learned approach to data indexing
• [cs.ET]Variation-aware Binarized Memristive Networks
• [cs.HC]Gamification of In-Classroom Diagram Design for Science Students
• [cs.HC]Geovisual Analytics and Interactive Machine Learning for Situational Awareness
• [cs.HC]Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
• [cs.HC]Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction
• [cs.IR]Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
• [cs.IR]Global Reactions to the Cambridge Analytica Scandal: An Inter-Language Social Media Study
• [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
• [cs.IT]A Large-Deviation Upperbound on Directed Last-Passage Percolation Growth Rate Based on Entropy of Direction Vector
• [cs.IT]An Efficient Beam and Channel Acquisition via Sparsity Map and Joint Angle-Delay Power Profile Estimation for Wideband Massive MIMO Systems
• [cs.IT]Analytical Performance Evaluation of Beamforming Under Transceivers Hardware Imperfections
• [cs.IT]Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
• [cs.IT]Capacity Region of Erasure Broadcast Channels with Common Message and Feedback
• [cs.IT]Channel Estimation for Extremely Large-Scale Massive MIMO Systems
• [cs.IT]Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
• [cs.IT]Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction
• [cs.IT]Information Decomposition based on Cooperative Game Theory
• [cs.IT]Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints
• [cs.IT]McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels
• [cs.IT]On the Capacity of MIMO Optical Wireless Channels
• [cs.IT]On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone
• [cs.IT]Optimizing Information Freshness in Computing enabled IoT Networks
• [cs.IT]Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems
• [cs.IT]Spectral Efficiency of One-Bit Sigma-Delta Massive MIMO
• [cs.IT]Two classes of $p$-ary linear codes and their duals
• [cs.IT]Variable-Length Source Dispersions Differ under Maximum and Average Error Criteria
• [cs.LG]A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
• [cs.LG]Actor Critic with Differentially Private Critic
• [cs.LG]AdaWISH: Faster Discrete Integration via Adaptive Quantiles
• [cs.LG]An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
• [cs.LG]Analyzing User Activities Using Vector Space Model in Online Social Networks
• [cs.LG]Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
• [cs.LG]Bootstrapping the Expressivity with Model-based Planning
• [cs.LG]Code Generation as a Dual Task of Code Summarization
• [cs.LG]Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector
• [cs.LG]Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training
• [cs.LG]DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering
• [cs.LG]Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
• [cs.LG]Deep Probabilistic Kernels for Sample-Efficient Learning
• [cs.LG]Deep Transfer Learning for Source Code Modeling
• [cs.LG]DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks
• [cs.LG]Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
• [cs.LG]ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference
• [cs.LG]Eavesdrop the Composition Proportion of Training Labels in Federated Learning
• [cs.LG]Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks
• [cs.LG]Efficient Inference and Exploration for Reinforcement Learning
• [cs.LG]Emergent properties of the local geometry of neural loss landscapes
• [cs.LG]Evaluating Disentangled Representations
• [cs.LG]Extracting Incentives from Black-Box Decisions
• [cs.LG]Extraction of Complex DNN Models: Real Threat or Boogeyman?
• [cs.LG]Feature Detection and Attenuation in Embeddings
• [cs.LG]Federated Transfer Reinforcement Learning for Autonomous Driving
• [cs.LG]Generalization Bounds for Neural Networks via Approximate Description Length
• [cs.LG]Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems
• [cs.LG]Geomancer: An Open-Source Framework for Geospatial Feature Engineering
• [cs.LG]Hardware/Software Codesign for Training/Testing Multiple Neural Networks on Multiple FPGAs
• [cs.LG]Image Generation and Recognition (Emotions)
• [cs.LG]Imitating by generating: deep generative models for imitation of interactive tasks
• [cs.LG]Implicit competitive regularization in GANs
• [cs.LG]Influence-Based Multi-Agent Exploration
• [cs.LG]Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild
• [cs.LG]Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild
• [cs.LG]Interventional Experiment Design for Causal Structure Learning
• [cs.LG]Kernel transfer over multiple views for missing data completion
• [cs.LG]Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization
• [cs.LG]Measuring Unfairness through Game-Theoretic Interpretability
• [cs.LG]Model Fusion via Optimal Transport
• [cs.LG]More Powerful Selective Kernel Tests for Feature Selection
• [cs.LG]MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
• [cs.LG]Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
• [cs.LG]Neural Program Synthesis By Self-Learning
• [cs.LG]On Empirical Comparisons of Optimizers for Deep Learning
• [cs.LG]On Robustness of Neural Ordinary Differential Equations
• [cs.LG]On the Convergence of Perturbed Distributed Asynchronous Stochastic Gradient Descent to Second Order Stationary Points in Non-convex Optimization
• [cs.LG]On the Reduction of Variance and Overestimation of Deep Q-Learning
• [cs.LG]On the Utility of Learning about Humans for Human-AI Coordination
• [cs.LG]On the expected behaviour of noise regularised deep neural networks as Gaussian processes
• [cs.LG]Open-plan Glare Evaluator (OGE): A New Glare Prediction Model for Open-Plan Offices Using Machine Learning Algorithms
• [cs.LG]Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods
• [cs.LG]Policy Poisoning in Batch Reinforcement Learning and Control
• [cs.LG]Powering Hidden Markov Model by Neural Network based Generative Models
• [cs.LG]Prediction Focused Topic Models via Vocab Selection
• [cs.LG]Preliminary Systematic Literature Review of Machine Learning System Development Process
• [cs.LG]Regularizing Model-Based Planning with Energy-Based Models
• [cs.LG]Residual Encoder-Decoder Network for Deep Subspace Clustering
• [cs.LG]Rethinking Data Augmentation: Self-Supervision and Self-Distillation
• [cs.LG]Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement
• [cs.LG]SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
• [cs.LG]SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
• [cs.LG]Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses
• [cs.LG]The Role of Embedding Complexity in Domain-invariant Representations
• [cs.LG]Thompson Sampling in Non-Episodic Restless Bandits
• [cs.LG]Understanding the Limitations of Variational Mutual Information Estimators
• [cs.LG]Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
• [cs.LG]iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
• [cs.MA]Anticipating Illegal Maritime Activities from Anomalous Multiscale Fleet Behaviors
• [cs.NE]A modified Genetic Algorithm for continuous estimation of CPR quality parameters from wrist-worn inertial sensor data
• [cs.NE]Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson’s Disease
• [cs.NE]Modelling Resistive and Phase Change Memory with Passive Selector Arrays — A Matlab Tool
• [cs.NE]Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
• [cs.NE]Neural Memory Plasticity for Anomaly Detection
• [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
• [cs.NI]QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning
• [cs.NI]Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
• [cs.PF]Characterizing Deep Learning Training Workloads on Alibaba-PAI
• [cs.PF]ClassyTune: A Performance Auto-Tuner for Systems in the Cloud
• [cs.PF]Load Balancing Performance in Distributed Storage with Regular Balanced Redundancy
• [cs.RO]A Collaborative Framework for High-Definition Mapping
• [cs.RO]A Research Platform for Multi-Robot Dialogue with Humans
• [cs.RO]Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis
• [cs.RO]Neural Collision Clearance Estimator for Fast Robot Motion Planning
• [cs.RO]Online monitoring for safe pedestrian-vehicle interactions
• [cs.RO]Relevant Region Exploration On General Cost-maps For Sampling-Based Motion Planning
• [cs.RO]Trajectory optimization for a class of robots belonging to Constrained Collaborative Mobile Agents (CCMA) family
• [cs.SE]A multi-label, dual-output deep neural network for automated bug triaging
• [cs.SE]Design Smell Analysis for Developing and Established Open Source Java Software
• [cs.SE]Software Sustainability: A Systematic Literature Review and Comprehensive Analysis
• [cs.SI]Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention
• [cs.SI]Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
• [cs.SI]Trajectories of Islamophobic hate amongst far right actors on Twitter
• [eess.AS]The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
• [eess.IV]Capsule and convolutional neural network-based SAR ship classification in Sentinel-1 data
• [eess.IV]Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans
• [eess.IV]Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network
• [eess.IV]Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
• [eess.IV]Light Field Synthesis by Training Deep Network in the Refocused Image Domain
• [eess.IV]Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
• [eess.IV]Organ-based Age Estimation based on 3D MRI Scans
• [eess.IV]Radiomic Feature Stability Analysis based on Probabilistic Segmentations
• [eess.IV]Recent Advances in Imaging Around Corners
• [eess.IV]Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
• [eess.IV]Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
• [eess.IV]Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations
• [eess.SP]A generalized intelligent quality-based approach for fusing multi-source information
• [eess.SP]Generalized Nullspace Property for Structurally Sparse Signals
• [eess.SP]Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals
• [eess.SP]Portfolio Cuts: A Graph-Theoretic Framework to Diversification
• [eess.SP]Reliable mmWave Communication via Coordinated Multi-Point Connectivity
• [eess.SP]Robust Incremental State Estimation through Covariance Adaptation
• [eess.SP]Throughput of CDM-based Random Access With SINR Capture
• [eess.SY]Altering nodes types in controlling complex networks
• [eess.SY]Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation
• [eess.SY]Mind the ground: A Power Spectral Density-based estimator for all-terrain rovers
• [math.AP]An Image Segmentation Model Based on a Variational Formulation
• [math.CO]Hamming Distances in Vector Spaces over Finite Fields
• [math.MG]A Simple Differential Geometry for Networks and its Generalizations
• [math.NA]Machine Learning for Prediction with Missing Dynamics
• [math.OC]Global-Local Metamodel Assisted Two-Stage Optimization via Simulation
• [math.OC]Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach
• [math.OC]Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
• [math.PR]Drift, Minorization, and Hitting Times
• [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
• [math.ST]First order expansion of convex regularized estimators
• [math.ST]Five Shades of Grey: Phase Transitions in High-dimensional Multiple Testing
• [math.ST]Gaussian Processes with Errors in Variables: Theory and Computation
• [math.ST]The Search for Truth through Data: NP Decision Processes, ROC Functions, $P$-Functionals, Knowledge Updating and Sequential Learning
• [math.ST]Uniform convergence rates for the approximated halfspace and projection depth
• [physics.soc-ph]Network Modularity Controls the Speed of Information Diffusion
• [q-bio.PE]Mathematical Modelling and Analysis of Transmission Dynamics of Lassa fever
• [stat.AP]Nonparametric Bayesian multi-armed bandits for single cell experiment design
• [stat.AP]Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data
• [stat.AP]Regression for Copula-linked Compound Distributions with Applications in Modeling Aggregate Insurance Claims
• [stat.AP]Short-term photovoltaic generation forecasting using multiple heterogenous sources of data
• [stat.AP]Spatio-Temporal Mixed Models to Predict Coverage Error Rates at Local Areas
• [stat.AP]The Bayesian Synthetic Control: Improved Counterfactual Estimation in the Social Sciences through Probabilistic Modeling
• [stat.AP]Wearables and location tracking technologies for mental-state sensing in outdoor environments
• [stat.ME]A Pooled Quantile Estimator for Parallel Simulations
• [stat.ME]A Recommendation for Net Undercount Estimation in Iran Population and Dwelling Censuses
• [stat.ME]Adaptive design for Gaussian process regression under censoring
• [stat.ME]An Imputation model by Dirichlet Process Mixture of Elliptical Copulas for Data of Mixed Type
• [stat.ME]Bayesian generalized linear model for over and under dispersed counts
• [stat.ME]Comment on “Blessings of Multiple Causes”
• [stat.ME]Distribution-free conditional predictive bands using density estimators
• [stat.ME]Empirical and Constrained Empirical Bayes Variance Estimation Under A One Unit Per Stratum Sample Design
• [stat.ME]Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling
• [stat.ME]Improving Precision through Adjustment for Prognostic Variables in Group Sequential Trial Designs: Impact of Baseline Variables, Short-Term Outcomes, and Treatment Effect Heterogeneity
• [stat.ME]Nonstationary Multivariate Gaussian Processes for Electronic Health Records
• [stat.ME]Real-time outlier detection for large datasets by RT-DetMCD
• [stat.ML]Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation
• [stat.ML]Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
• [stat.ML]Bayesian Optimization using Pseudo-Points
• [stat.ML]If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
• [stat.ML]Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo
• [stat.ML]Optimal Clustering from Noisy Binary Feedback
• [stat.ML]Pathological spectra of the Fisher information metric and its variants in deep neural networks
• [stat.ML]Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
• [stat.ML]Regularized Sparse Gaussian Processes
• [stat.ML]Roweis Discriminant Analysis: A Generalized Subspace Learning Method
• [stat.ML]Spectral clustering in the weighted stochastic block model
• [stat.ML]Two-sample Testing Using Deep Learning
• [stat.ML]Unsupervised Discovery of Sparse Multimodal Representations in High Dimensional Data
• [stat.ML]Variational Tracking and Prediction with Generative Disentangled State-Space Models
• [stat.ML]What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination
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• [cond-mat.dis-nn]Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks
Bo Li, David Saad
http://arxiv.org/abs/1910.05769v1
• [cs.AI]Deep Crowd-Flow Prediction in Built Environments
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
http://arxiv.org/abs/1910.05810v1
• [cs.CL]Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
Katharina Kann
http://arxiv.org/abs/1910.05456v1
• [cs.CL]Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality
Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia
http://arxiv.org/abs/1910.06204v1
• [cs.CL]Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
http://arxiv.org/abs/1910.06061v1
• [cs.CL]From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
Mika Hämäläinen, Simon Hengchen
http://arxiv.org/abs/1910.05535v1
• [cs.CL]Improving Question Generation With to the Point Context
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu
http://arxiv.org/abs/1910.06036v1
• [cs.CL]Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization
Shengluan Hou, Ruqian Lu
http://arxiv.org/abs/1910.05915v1
• [cs.CL]Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih
http://arxiv.org/abs/1910.05389v1
• [cs.CL]Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
Matthew Tang, Priyanka Gandhi, Md Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo
http://arxiv.org/abs/1910.05786v1
• [cs.CL]Q8BERT: Quantized 8Bit BERT
Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat
http://arxiv.org/abs/1910.06188v1
• [cs.CL]Restoring ancient text using deep learning: a case study on Greek epigraphy
Yannis Assael, Thea Sommerschield, Jonathan Prag
http://arxiv.org/abs/1910.06262v1
• [cs.CL]STANCY: Stance Classification Based on Consistency Cues
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
http://arxiv.org/abs/1910.06048v1
• [cs.CL]SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text
Kartikey Pant, Venkata Himakar Yanamandra, Alok Debnath, Radhika Mamidi
http://arxiv.org/abs/1910.05598v1
• [cs.CL]Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models
Peter Izsak, Shira Guskin, Moshe Wasserblat
http://arxiv.org/abs/1910.06294v1
• [cs.CL]Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen, Julian Salazar
http://arxiv.org/abs/1910.05895v1
• [cs.CL]Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
Piotr Bojanowski, Onur Celebi, Tomas Mikolov, Edouard Grave, Armand Joulin
http://arxiv.org/abs/1910.06241v1
• [cs.CL]VAIS ASR: Building a conversational speech recognition system using language model combination
Quang Minh Nguyen, Thai Binh Nguyen, Ngoc Phuong Pham, The Loc Nguyen
http://arxiv.org/abs/1910.05603v1
• [cs.CL]VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination
Thai Binh Nguyen, Quang Minh Nguyen, Thu Hien Nguyen, Ngoc Phuong Pham, The Loc Nguyen, Quoc Truong Do
http://arxiv.org/abs/1910.05608v1
• [cs.CL]VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning
Ziqi Zhang, Yaya Shi, Jiutong Wei, Chunfeng Yuan, Bing Li, Weiming Hu
http://arxiv.org/abs/1910.05752v1
• [cs.CL]Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
Ke Tran, Arianna Bisazza
http://arxiv.org/abs/1910.05479v1
• [cs.CL]vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski, Steffen Schneider, Michael Auli
http://arxiv.org/abs/1910.05453v1
• [cs.CR]Comment on “AndrODet: An adaptive Android obfuscation detector”
Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri
http://arxiv.org/abs/1910.06192v1
• [cs.CR]Using AI/ML to gain situational understanding from passive network observations
D. Verma, S. Calo
http://arxiv.org/abs/1910.06266v1
• [cs.CV]A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata
Tobia Tesan, Pasquale Coscia, Lamberto Ballan
http://arxiv.org/abs/1910.05770v1
• [cs.CV]A New Local Transformation Module for Few-shot Segmentation
Yuwei Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Xiaolong Xu, Shuai Chen
http://arxiv.org/abs/1910.05886v1
• [cs.CV]A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning
Qiang Sun, Liting Wang, Maohui Li, Longtao Zhang, Yuxiang Yang
http://arxiv.org/abs/1910.05996v1
• [cs.CV]An Efficient Tensor Completion Method via New Latent Nuclear Norm
Jinshi Yu, Weijun Sun, Yuning Qiu, Shengli Xie
http://arxiv.org/abs/1910.05986v1
• [cs.CV]Combinational Class Activation Maps for Weakly Supervised Object Localization
Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim
http://arxiv.org/abs/1910.05518v1
• [cs.CV]Complement Face Forensic Detection and Localization with FacialLandmarks
Kritaphat Songsri-in, Stefanos Zafeiriou
http://arxiv.org/abs/1910.05455v1
• [cs.CV]Context-Gated Convolution
Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang
http://arxiv.org/abs/1910.05577v1
• [cs.CV]Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
Yijie Xu, Arushi Goel
http://arxiv.org/abs/1910.05611v1
• [cs.CV]Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
Ying Zheng, Hongxun Yao, Xiaoshuai Sun
http://arxiv.org/abs/1910.06023v1
• [cs.CV]Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li, Mingyang Wang, Congcong Wen, Lingjing Wang, Nan Zhou, Yi Fang
http://arxiv.org/abs/1910.05909v1
• [cs.CV]Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu
http://arxiv.org/abs/1910.06278v1
• [cs.CV]Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong
http://arxiv.org/abs/1910.05562v1
• [cs.CV]Dynamic Attention Networks for Task Oriented Grounding
Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri
http://arxiv.org/abs/1910.06315v1
• [cs.CV]Encoder-Decoder based CNN and Fully Connected CRFs for Remote Sensed Image Segmentation
Vikas Agaradahalli Gurumurthy
http://arxiv.org/abs/1910.06041v1
• [cs.CV]Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection
Martin Thümmel, Joachim Denzler
http://arxiv.org/abs/1910.06056v1
• [cs.CV]Facial Emotion Recognition using Convolutional Neural Networks
Akash Saravanan, Gurudutt Perichetla, Dr. K. S. Gayathri
http://arxiv.org/abs/1910.05602v1
• [cs.CV]Facial Expression Recognition Using Human to Animated-Character Expression Translation
Kamran Ali, Ilkin Isler, Charles Hughes
http://arxiv.org/abs/1910.05595v1
• [cs.CV]Frustum VoxNet for 3D object detection from RGB-D or Depth images
Xiaoke Shen, Ioannis Stamos
http://arxiv.org/abs/1910.05483v1
• [cs.CV]FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Yogamani
http://arxiv.org/abs/1910.05395v1
• [cs.CV]Granular Multimodal Attention Networks for Visual Dialog
Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri
http://arxiv.org/abs/1910.05728v1
• [cs.CV]Hierarchical Feature-Aware Correlation Filter for Efficient Visual Tracking
Wenhua Zhang, Licheng Jiao, Jia Liu
http://arxiv.org/abs/1910.05751v1
• [cs.CV]How are attributes expressed in face DCNNs?
Prithviraj Dhar, Ankan Bansal, Carlos D. Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa
http://arxiv.org/abs/1910.05657v1
• [cs.CV]ICPS-net: An End-to-End RGB-based Indoor Camera Positioning System using deep convolutional neural networks
Ali Ghofrani, Rahil Mahdian Toroghi, Sayed Mojtaba Tabatabaie
http://arxiv.org/abs/1910.06219v1
• [cs.CV]Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks
Mostafa Karimi, Gopalkrishna Veni, Yen-Yun Yu
http://arxiv.org/abs/1910.05425v1
• [cs.CV]KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Vlad Hosu, Hanhe Lin, Tamas Sziranyi, Dietmar Saupe
http://arxiv.org/abs/1910.06180v1
• [cs.CV]Mask-Guided Attention Network for Occluded Pedestrian Detection
Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao
http://arxiv.org/abs/1910.06160v1
• [cs.CV]Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation
Junjie Huang, Zheng Zhu, Guan Huang
http://arxiv.org/abs/1910.05901v1
• [cs.CV]Multi-view consensus CNN for 3D facial landmark placement
Rasmus R. Paulsen, Kristine Aavild Juhl, Thilde Marie Haspang, Thomas Hansen, Melanie Ganz, Gudmundur Einarsson
http://arxiv.org/abs/1910.06007v1
• [cs.CV]NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
http://arxiv.org/abs/1910.06316v1
• [cs.CV]OmniTrack: Real-time detection and tracking of objects, text and logos in video
Hannes Fassold, Ridouane Ghermi
http://arxiv.org/abs/1910.06017v1
• [cs.CV]One-Shot Neural Architecture Search via Self-Evaluated Template Network
Xuanyi Dong, Yi Yang
http://arxiv.org/abs/1910.05733v1
• [cs.CV]Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos
Shakiba Kheradmand, Parvaneh Saeedi, Jason Au, John Havelock
http://arxiv.org/abs/1910.05972v1
• [cs.CV]RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Guan’an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou
http://arxiv.org/abs/1910.05839v1
• [cs.CV]ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
Giorgos Karvounas, Iason Oikonomidis, Antonis Argyros
http://arxiv.org/abs/1910.06096v1
• [cs.CV]Real-world attack on MTCNN face detection system
Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko
http://arxiv.org/abs/1910.06261v1
• [cs.CV]Saliency Guided Self-attention Network for Weakly-supervised Semantic Segmentation
Qi Yao, Xiaojin Gong
http://arxiv.org/abs/1910.05475v1
• [cs.CV]Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli
http://arxiv.org/abs/1910.06038v1
• [cs.CV]Slope Difference Distribution and Its Computer Vision Applications
Zhenzhou Wang
http://arxiv.org/abs/1910.05704v1
• [cs.CV]Spoofing and Anti-Spoofing with Wax Figure Faces
Shan Jia, Xin Li, Chuanbo Hu, Zhengquan Xu
http://arxiv.org/abs/1910.05457v1
• [cs.CV]Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
Jingjing Qian, Wei Jiang, Hao Luo, Hongyan Yu
http://arxiv.org/abs/1910.05549v1
• [cs.CV]Template-Instance Loss for Offline Handwritten Chinese Character Recognition
Yao Xiao, Dan Meng, Cewu Lu, Chi-Keung Tang
http://arxiv.org/abs/1910.05545v1
• [cs.CV]TruNet: Short Videos Generation from Long Videos via Story-Preserving Truncation
Fan Yang, Xiao Liu, Dongliang He, Chuang Gan, Jian Wang, Chao Li, Fu Li, Shilei Wen
http://arxiv.org/abs/1910.05899v1
• [cs.CV]Unsupervised Multi-stream Highlight detection for the Game “Honor of Kings”
Li Wang, Zixun Sun, Wentao Yao, Hui Zhan, Chengwei Zhu
http://arxiv.org/abs/1910.06189v1
• [cs.CV]What happens when self-supervision meets Noisy Labels?
Devraj Mandal, Shrisha Bharadwaj, Soma Biswas
http://arxiv.org/abs/1910.05700v1
• [cs.CV]What’s in my Room? Object Recognition on Indoor Panoramic Images
Julia Guerrero-Viu, Clara Fernandez-Labrador, Cédric Demonceaux, Jose J. Guerrero
http://arxiv.org/abs/1910.06138v1
• [cs.CY]Blockchain 3.0 Smart Contracts in E-Government 3.0 Applications
Sofia Terzi, Konstantinos Votis, Dimitrios Tzovaras, Ioannis Stamelos, Kelly Cooper
http://arxiv.org/abs/1910.06092v1
• [cs.CY]Microservices based Linked Data Quality Model for Buildings Energy Management Services
Muhammad Aslam Jarwar, Sajjad Ali, Ilyoung Chong
http://arxiv.org/abs/1910.06115v1
• [cs.CY]Shared E-scooters: Business, Pleasure, or Transit?
William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck
http://arxiv.org/abs/1910.05807v1
• [cs.DC]A High-Throughput Solver for Marginalized Graph Kernels on GPU
Yu-Hang Tang, Oguz Selvitopi, Doru Popovici, Aydın Buluç
http://arxiv.org/abs/1910.06310v1
• [cs.DC]Byzantine Generalized Lattice Agreement
Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Leonardo Querzoni
http://arxiv.org/abs/1910.05768v1
• [cs.DC]DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems
Alessio Netti, Micha Mueller, Carla Guillen, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz
http://arxiv.org/abs/1910.06156v1
• [cs.DC]DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
http://arxiv.org/abs/1910.05339v1
• [cs.DC]EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
Skanda Koppula, Lois Orosa, Abdullah Giray Yağlıkçı, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu
http://arxiv.org/abs/1910.05340v1
• [cs.DC]HyperProv: Decentralized Resilient Data Provenance at the Edge with Blockchains
Petter Tunstad, Amin M. Khan, Phuong Hoai Ha
http://arxiv.org/abs/1910.05779v1
• [cs.DC]In Search of a Fast and Efficient Serverless DAG Engine
Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng
http://arxiv.org/abs/1910.05896v1
• [cs.DC]Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang, Rajiv Ranjan
http://arxiv.org/abs/1910.05433v1
• [cs.DC]Persistence and Big Data Analytics Architectures for Smart Connected Vehicles
Sebastian Scholze, Fulya Feryal Horozal, Marie-Saphira Flug, Ana Teresa Correia
http://arxiv.org/abs/1910.05341v1
• [cs.DC]Situation-aware Re-configuration of Production Processes
Sebastian Scholze, Rebecca Siafaka, Kevin Nagorny, Albert Zilverberg, Karl Krone
http://arxiv.org/abs/1910.05357v1
• [cs.DC]eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference
Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen
http://arxiv.org/abs/1910.05680v1
• [cs.DS]Near-Optimal Massively Parallel Graph Connectivity
Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni
http://arxiv.org/abs/1910.05385v1
• [cs.DS]The PGM-index: a multicriteria, compressed and learned approach to data indexing
Paolo Ferragina, Giorgio Vinciguerra
http://arxiv.org/abs/1910.06169v1
• [cs.ET]Variation-aware Binarized Memristive Networks
Corey Lammie, Olga Krestinskaya, Alex James, Mostafa Rahimi Azghadi
http://arxiv.org/abs/1910.05920v1
• [cs.HC]Gamification of In-Classroom Diagram Design for Science Students
Andreas Mallas, Michalis Xenos
http://arxiv.org/abs/1910.05327v1
• [cs.HC]Geovisual Analytics and Interactive Machine Learning for Situational Awareness
Morteza Karimzadeh, Luke S. Snyder, David S. Ebert
http://arxiv.org/abs/1910.05441v1
• [cs.HC]Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
http://arxiv.org/abs/1910.05878v1
• [cs.HC]Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction
Mohammad Keshavarzi, Woojin Ko, Allen Y. Yang, Luisa Caldas
http://arxiv.org/abs/1910.05998v1
• [cs.IR]Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang
http://arxiv.org/abs/1910.05552v1
• [cs.IR]Global Reactions to the Cambridge Analytica Scandal: An Inter-Language Social Media Study
Felipe González, Yihan Yu, Andrea Figueroa, Claudia López, Cecilia Aragon
http://arxiv.org/abs/1910.06213v1
• [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
http://arxiv.org/abs/1910.05755v1
• [cs.IT]A Large-Deviation Upperbound on Directed Last-Passage Percolation Growth Rate Based on Entropy of Direction Vector
Cihan Tepedelenlioglu
http://arxiv.org/abs/1910.05832v1
• [cs.IT]An Efficient Beam and Channel Acquisition via Sparsity Map and Joint Angle-Delay Power Profile Estimation for Wideband Massive MIMO Systems
Ali O. Kalayci, Gokhan M. Guvensen
http://arxiv.org/abs/1910.05815v1
• [cs.IT]Analytical Performance Evaluation of Beamforming Under Transceivers Hardware Imperfections
Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
http://arxiv.org/abs/1910.05474v1
• [cs.IT]Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
Navaneet Athreya, Vishnu Raj, Sheetal Kalyani
http://arxiv.org/abs/1910.05705v1
• [cs.IT]Capacity Region of Erasure Broadcast Channels with Common Message and Feedback
Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang
http://arxiv.org/abs/1910.05912v1
• [cs.IT]Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Yu Han, Shi Jin, Chao-Kai Wen, Xiaoli Ma
http://arxiv.org/abs/1910.05432v1
• [cs.IT]Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon
http://arxiv.org/abs/1910.06093v1
• [cs.IT]Fast and Robust Spectrally Sparse Signal Recovery: A Provable Non-Convex Approach via Robust Low-Rank Hankel Matrix Reconstruction
HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin
http://arxiv.org/abs/1910.05859v1
• [cs.IT]Information Decomposition based on Cooperative Game Theory
Nihat Ay, Daniel Polani, Nathaniel Virgo
http://arxiv.org/abs/1910.05979v1
• [cs.IT]Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints
Qingqing Wu, Rui Zhang
http://arxiv.org/abs/1910.06220v1
• [cs.IT]McLeish Distribution: Performance of Digital Communications over Additive White McLeish Noise (AWMN) Channels
Ferkan Yilmaz
http://arxiv.org/abs/1910.05592v1
• [cs.IT]On the Capacity of MIMO Optical Wireless Channels
Longguang Li, Stefan M. Moser, Ligong Wang, Michèle Wigger
http://arxiv.org/abs/1910.05990v1
• [cs.IT]On the Secrecy Performance of Random VLC Networks with Imperfect CSI and Protected Zone
Jin-Yuan Wang, Yu Qiu, Sheng-Hong Lin, Jun-Bo Wang, Min Lin, Cheng Liu
http://arxiv.org/abs/1910.05713v1
• [cs.IT]Optimizing Information Freshness in Computing enabled IoT Networks
Chao Xu, Howard H. Yang, Xijun Wang, Tony Q. S. Quek
http://arxiv.org/abs/1910.05578v1
• [cs.IT]Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems
Walid R. Ghanem, Vahid Jamali, Yan Sun, Robert Schober
http://arxiv.org/abs/1910.06127v1
• [cs.IT]Spectral Efficiency of One-Bit Sigma-Delta Massive MIMO
Hessam Pirzadeh, Gonzalo Seco-Granados, Shilpa Rao, A. Lee Swindlehurst
http://arxiv.org/abs/1910.05491v1
• [cs.IT]Two classes of $p$-ary linear codes and their duals
Xiaoqiang Wang, Dabin Zheng, Yan Zhang
http://arxiv.org/abs/1910.05461v1
• [cs.IT]Variable-Length Source Dispersions Differ under Maximum and Average Error Criteria
Yuta Sakai, Vincent Y. F. Tan
http://arxiv.org/abs/1910.05724v1
• [cs.LG]A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
http://arxiv.org/abs/1910.05485v1
• [cs.LG]Actor Critic with Differentially Private Critic
Jonathan Lebensold, William Hamilton, Borja Balle, Doina Precup
http://arxiv.org/abs/1910.05876v1
• [cs.LG]AdaWISH: Faster Discrete Integration via Adaptive Quantiles
Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
http://arxiv.org/abs/1910.05811v1
• [cs.LG]An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
Julian Zimmert, Yevgeny Seldin
http://arxiv.org/abs/1910.06054v1
• [cs.LG]Analyzing User Activities Using Vector Space Model in Online Social Networks
Dhrubasish Sarkar, Premananda Jana
http://arxiv.org/abs/1910.05691v1
• [cs.LG]Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
Aqeel Anwar, Arijit Raychowdhury
http://arxiv.org/abs/1910.05547v1
• [cs.LG]Bootstrapping the Expressivity with Model-based Planning
Kefan Dong, Yuping Luo, Tengyu Ma
http://arxiv.org/abs/1910.05927v1
• [cs.LG]Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
http://arxiv.org/abs/1910.05923v1
• [cs.LG]Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector
Grace A. Lewis, Stephany Bellomo, April Galyardt
http://arxiv.org/abs/1910.06136v1
• [cs.LG]Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training
David Stutz, Matthias Hein, Bernt Schiele
http://arxiv.org/abs/1910.06259v1
• [cs.LG]DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering
Ali Hassani, Amir Iranmanesh, Mahdi Eftekhari, Abbas Salemi
http://arxiv.org/abs/1910.05933v1
• [cs.LG]Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Xujiang Zhao, Feng Chen, Jin-Hee Cho
http://arxiv.org/abs/1910.05640v1
• [cs.LG]Deep Probabilistic Kernels for Sample-Efficient Learning
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han
http://arxiv.org/abs/1910.05858v1
• [cs.LG]Deep Transfer Learning for Source Code Modeling
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
http://arxiv.org/abs/1910.05493v1
• [cs.LG]DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks
Fuyuan Zhang, Sankalan Pal Chowdhury, Maria Christakis
http://arxiv.org/abs/1910.06296v1
• [cs.LG]Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz
http://arxiv.org/abs/1910.05639v1
• [cs.LG]ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference
Chao-Tsung Huang
http://arxiv.org/abs/1910.05787v1
• [cs.LG]Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu
http://arxiv.org/abs/1910.06044v1
• [cs.LG]Effects of Depth, Width, and Initialization: A Convergence Analysis of Layer-wise Training for Deep Linear Neural Networks
Yeonjong Shin
http://arxiv.org/abs/1910.05874v1
• [cs.LG]Efficient Inference and Exploration for Reinforcement Learning
YI Zhu, Jing Dong, Henry Lam
http://arxiv.org/abs/1910.05471v1
• [cs.LG]Emergent properties of the local geometry of neural loss landscapes
Stanislav Fort, Surya Ganguli
http://arxiv.org/abs/1910.05929v1
• [cs.LG]Evaluating Disentangled Representations
Anna Sepliarskaia, Julia Kiseleva, Maarten de Rijke
http://arxiv.org/abs/1910.05587v1
• [cs.LG]Extracting Incentives from Black-Box Decisions
Yonadav Shavit, William S. Moses
http://arxiv.org/abs/1910.05664v1
• [cs.LG]Extraction of Complex DNN Models: Real Threat or Boogeyman?
Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan
http://arxiv.org/abs/1910.05429v1
• [cs.LG]Feature Detection and Attenuation in Embeddings
Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li
http://arxiv.org/abs/1910.05862v1
• [cs.LG]Federated Transfer Reinforcement Learning for Autonomous Driving
Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang
http://arxiv.org/abs/1910.06001v1
• [cs.LG]Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely, Elad Granot
http://arxiv.org/abs/1910.05697v1
• [cs.LG]Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems
Ahmed B. Zaky, Joshua Zhexue Huang, KaishunWu, Basem M. ElHalawany
http://arxiv.org/abs/1910.05510v1
• [cs.LG]Geomancer: An Open-Source Framework for Geospatial Feature Engineering
Lester James V. Miranda, Mark Steve Samson, Alfiero K. Orden II, Bianca S. Silmaro, Ram K. De Guzman III, Stephanie S. Sy
http://arxiv.org/abs/1910.05571v1
• [cs.LG]Hardware/Software Codesign for Training/Testing Multiple Neural Networks on Multiple FPGAs
Brosnan Yuen
http://arxiv.org/abs/1910.05683v1
• [cs.LG]Image Generation and Recognition (Emotions)
Hanne Carlsson, Dimitrios Kollias
http://arxiv.org/abs/1910.05774v1
• [cs.LG]Imitating by generating: deep generative models for imitation of interactive tasks
Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
http://arxiv.org/abs/1910.06031v1
• [cs.LG]Implicit competitive regularization in GANs
Florian Schäfer, Hongkai Zheng, Anima Anandkumar
http://arxiv.org/abs/1910.05852v1
• [cs.LG]Influence-Based Multi-Agent Exploration
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
http://arxiv.org/abs/1910.05512v1
• [cs.LG]Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild
Xia Yicheng, Dimitrios Kollias
http://arxiv.org/abs/1910.05784v1
• [cs.LG]Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild
Valentin Richer, Dimitrios Kollias
http://arxiv.org/abs/1910.05877v1
• [cs.LG]Interventional Experiment Design for Causal Structure Learning
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
http://arxiv.org/abs/1910.05651v1
• [cs.LG]Kernel transfer over multiple views for missing data completion
Riikka Huusari, Cécile Capponi, Paul Villoutreix, Hachem Kadri
http://arxiv.org/abs/1910.05964v1
• [cs.LG]Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization
Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
http://arxiv.org/abs/1910.05897v1
• [cs.LG]Measuring Unfairness through Game-Theoretic Interpretability
Juliana Cesaro, Fabio G. Cozman
http://arxiv.org/abs/1910.05591v1
• [cs.LG]Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
http://arxiv.org/abs/1910.05653v1
• [cs.LG]More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
http://arxiv.org/abs/1910.06134v1
• [cs.LG]MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
http://arxiv.org/abs/1910.05449v1
• [cs.LG]Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
Melanie Weber
http://arxiv.org/abs/1910.05565v1
• [cs.LG]Neural Program Synthesis By Self-Learning
Yifan Xu, Lu Dai, Udaikaran Singh, Kening Zhang, Zhuowen Tu
http://arxiv.org/abs/1910.05865v1
• [cs.LG]On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi, Christopher J. Shallue, Zachary Nado, Jaehoon Lee, Chris J. Maddison, George E. Dahl
http://arxiv.org/abs/1910.05446v1
• [cs.LG]On Robustness of Neural Ordinary Differential Equations
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng
http://arxiv.org/abs/1910.05513v1
• [cs.LG]On the Convergence of Perturbed Distributed Asynchronous Stochastic Gradient Descent to Second Order Stationary Points in Non-convex Optimization
Lifu Wang, Bo Shen, Ning Zhao
http://arxiv.org/abs/1910.06000v1
• [cs.LG]On the Reduction of Variance and Overestimation of Deep Q-Learning
Mohammed Sabry, Amr M. A. Khalifa
http://arxiv.org/abs/1910.05983v1
• [cs.LG]On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca Dragan
http://arxiv.org/abs/1910.05789v1
• [cs.LG]On the expected behaviour of noise regularised deep neural networks as Gaussian processes
Arnu Pretorius, Herman Kamper, Steve Kroon
http://arxiv.org/abs/1910.05563v1
• [cs.LG]Open-plan Glare Evaluator (OGE): A New Glare Prediction Model for Open-Plan Offices Using Machine Learning Algorithms
Ayman Wagdy, Veronica Garcia-Hansen, Mohammed Elhenawy, Gillian Isoardi, Robin Drogemuller, Fatma Fathy
http://arxiv.org/abs/1910.05594v1
• [cs.LG]Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A Lockman III, Vineet Gundecha, Quy Ta
http://arxiv.org/abs/1910.05885v1
• [cs.LG]Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu
http://arxiv.org/abs/1910.05821v1
• [cs.LG]Powering Hidden Markov Model by Neural Network based Generative Models
Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
http://arxiv.org/abs/1910.05744v1
• [cs.LG]Prediction Focused Topic Models via Vocab Selection
Jason Ren, Russell Kunes, Finale Doshi-Velez
http://arxiv.org/abs/1910.05495v1
• [cs.LG]Preliminary Systematic Literature Review of Machine Learning System Development Process
Yasuhiro Watanabe, Hironori Washizaki, Kazunori Sakamoto, Daisuke Saito, Kiyoshi Honda, Naohiko Tsuda, Yoshiaki Fukazawa, Nobukazu Yoshioka
http://arxiv.org/abs/1910.05528v1
• [cs.LG]Regularizing Model-Based Planning with Energy-Based Models
Rinu Boney, Juho Kannala, Alexander Ilin
http://arxiv.org/abs/1910.05527v1
• [cs.LG]Residual Encoder-Decoder Network for Deep Subspace Clustering
Shuai Yang, Wenqi Zhu, Yuesheng Zhu
http://arxiv.org/abs/1910.05569v1
• [cs.LG]Rethinking Data Augmentation: Self-Supervision and Self-Distillation
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
http://arxiv.org/abs/1910.05872v1
• [cs.LG]Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement
Junxiang Chen, Kayhan Batmanghelich
http://arxiv.org/abs/1910.05898v1
• [cs.LG]SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
http://arxiv.org/abs/1910.06100v1
• [cs.LG]SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
http://arxiv.org/abs/1910.05422v1
• [cs.LG]Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses
Amine M. Remita, Abdoulaye Baniré Diallo
http://arxiv.org/abs/1910.05421v1
• [cs.LG]The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
http://arxiv.org/abs/1910.05804v1
• [cs.LG]Thompson Sampling in Non-Episodic Restless Bandits
Young Hun Jung, Marc Abeille, Ambuj Tewari
http://arxiv.org/abs/1910.05654v1
• [cs.LG]Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song, Stefano Ermon
http://arxiv.org/abs/1910.06222v1
• [cs.LG]Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu
http://arxiv.org/abs/1910.05570v1
• [cs.LG]iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
http://arxiv.org/abs/1910.05905v1
• [cs.MA]Anticipating Illegal Maritime Activities from Anomalous Multiscale Fleet Behaviors
James R. Watson, A. John Woodill
http://arxiv.org/abs/1910.05424v1
• [cs.NE]A modified Genetic Algorithm for continuous estimation of CPR quality parameters from wrist-worn inertial sensor data
Christian Lins, Björn Friedrich, Andreas Hein, Sebastian Fudickar
http://arxiv.org/abs/1910.06250v1
• [cs.NE]Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson’s Disease
Amir Dehsarvi, Stephen L. Smith
http://arxiv.org/abs/1910.05378v1
• [cs.NE]Modelling Resistive and Phase Change Memory with Passive Selector Arrays — A Matlab Tool
Yasir J Noori, C H, de Groot
http://arxiv.org/abs/1910.05836v1
• [cs.NE]Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
Chao Qian
http://arxiv.org/abs/1910.05492v1
• [cs.NE]Neural Memory Plasticity for Anomaly Detection
Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal, Sridha Sridharan, Kristin Laurens, Patrick Johnston, Clinton Fookes
http://arxiv.org/abs/1910.05448v1
• [cs.NE]On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Kenneth Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha J
http://arxiv.org/abs/1910.04972v2
• [cs.NI]QoS and Jamming-Aware Wireless Networking Using Deep Reinforcement Learning
Nof Abuzainab, Tugba Erpek, Kemal Davaslioglu, Yalin E. Sagduyu, Yi Shi, Sharon J. Mackey, Mitesh Patel, Frank Panettieri, Muhammad A. Qureshi, Volkan Isler, Aylin Yener
http://arxiv.org/abs/1910.05766v1
• [cs.NI]Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification
Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek
http://arxiv.org/abs/1910.05765v1
• [cs.PF]Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
http://arxiv.org/abs/1910.05930v1
• [cs.PF]ClassyTune: A Performance Auto-Tuner for Systems in the Cloud
Yuqing Zhu, Jianxun Liu
http://arxiv.org/abs/1910.05482v1
• [cs.PF]Load Balancing Performance in Distributed Storage with Regular Balanced Redundancy
Mehmet Fatih Aktas, Amir Behrouzi-Far, Emina Soljanin, Philip Whiting
http://arxiv.org/abs/1910.05791v1
• [cs.RO]A Collaborative Framework for High-Definition Mapping
Alexis Stoven-Dubois, Kuntima Kiala Miguel, Aziz Dziri, Bertrand Leroy, Roland Chapuis
http://arxiv.org/abs/1910.06014v1
• [cs.RO]A Research Platform for Multi-Robot Dialogue with Humans
Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, Clare Voss
http://arxiv.org/abs/1910.05624v1
• [cs.RO]Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis
Gang Chen, Hongzhe Yu, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding
http://arxiv.org/abs/1910.05758v1
• [cs.RO]Neural Collision Clearance Estimator for Fast Robot Motion Planning
J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust
http://arxiv.org/abs/1910.05917v1
• [cs.RO]Online monitoring for safe pedestrian-vehicle interactions
Peter Du, Zhe Huang, Tianqi Liu, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Driggs-Campbell, Sayan Mitra
http://arxiv.org/abs/1910.05599v1
• [cs.RO]Relevant Region Exploration On General Cost-maps For Sampling-Based Motion Planning
Sagar Suhas Joshi, Panagiotis Tsiotras
http://arxiv.org/abs/1910.05361v1
• [cs.RO]Trajectory optimization for a class of robots belonging to Constrained Collaborative Mobile Agents (CCMA) family
Nitish Kumar, Stelian Coros
http://arxiv.org/abs/1910.05636v1
• [cs.SE]A multi-label, dual-output deep neural network for automated bug triaging
Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta
http://arxiv.org/abs/1910.05835v1
• [cs.SE]Design Smell Analysis for Developing and Established Open Source Java Software
Asif Imran, Tevfik Kosar
http://arxiv.org/abs/1910.05428v1
• [cs.SE]Software Sustainability: A Systematic Literature Review and Comprehensive Analysis
Asif Imran, Tevfik Kosar
http://arxiv.org/abs/1910.06109v1
• [cs.SI]Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
http://arxiv.org/abs/1910.05736v1
• [cs.SI]Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
http://arxiv.org/abs/1910.05451v1
• [cs.SI]Trajectories of Islamophobic hate amongst far right actors on Twitter
Bertie Vidgen, Taha Yasseri, Helen Margetts
http://arxiv.org/abs/1910.05794v1
• [eess.AS]The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
http://arxiv.org/abs/1910.06234v1
• [eess.IV]Capsule and convolutional neural network-based SAR ship classification in Sentinel-1 data
Leonardo De Laurentiis, Andrea Pomente, Fabio Del Frate, Giovanni Schiavon
http://arxiv.org/abs/1910.05401v1
• [eess.IV]Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans
Erfan Noury, Suria S. Mannil, Robert T. Chang, An Ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Sriharsha Nagaraj, Reza Zadeh
http://arxiv.org/abs/1910.06302v1
• [eess.IV]Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network
Lisha Yao, Sui Li, Manman Zhu, Dong Zeng, Zhaoying Bian, Jianhua Ma
http://arxiv.org/abs/1910.06154v1
• [eess.IV]Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry Wei, Arief Suriawinata, Louis Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
http://arxiv.org/abs/1910.05827v1
• [eess.IV]Light Field Synthesis by Training Deep Network in the Refocused Image Domain
Chang-Le Liu, Kuang-Tsu Shih, Homer H. Chen
http://arxiv.org/abs/1910.06072v1
• [eess.IV]Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli
http://arxiv.org/abs/1910.05672v1
• [eess.IV]Organ-based Age Estimation based on 3D MRI Scans
Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang
http://arxiv.org/abs/1910.06271v1
• [eess.IV]Radiomic Feature Stability Analysis based on Probabilistic Segmentations
Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof
http://arxiv.org/abs/1910.05693v1
• [eess.IV]Recent Advances in Imaging Around Corners
Tomohiro Maeda, Guy Satat, Tristan Swedish, Lagnojita Sinha, Ramesh Raskar
http://arxiv.org/abs/1910.05613v1
• [eess.IV]Robust Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
Puneesh Deora, Bhavya Vasudeva, Saumik Bhattacharya, Pyari Mohan Pradhan
http://arxiv.org/abs/1910.06067v1
• [eess.IV]Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
http://arxiv.org/abs/1910.05597v1
• [eess.IV]Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations
James McCouat, Ben Glocker
http://arxiv.org/abs/1910.05911v1
• [eess.SP]A generalized intelligent quality-based approach for fusing multi-source information
Fuyuan Xiao
http://arxiv.org/abs/1910.06150v1
• [eess.SP]Generalized Nullspace Property for Structurally Sparse Signals
Mustafa D. Kaba, Mengnan Zhao, Rene Vidal, Daniel P. Robinson, Enrique Mallada
http://arxiv.org/abs/1910.05652v1
• [eess.SP]Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals
Daniel Jung
http://arxiv.org/abs/1910.05626v1
• [eess.SP]Portfolio Cuts: A Graph-Theoretic Framework to Diversification
Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic
http://arxiv.org/abs/1910.05561v1
• [eess.SP]Reliable mmWave Communication via Coordinated Multi-Point Connectivity
Dileep Kumar, Jarkko Kaleva, Antti Tölli
http://arxiv.org/abs/1910.06140v1
• [eess.SP]Robust Incremental State Estimation through Covariance Adaptation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor, Robert C. Leishman
http://arxiv.org/abs/1910.05382v1
• [eess.SP]Throughput of CDM-based Random Access With SINR Capture
Hoesang Choi, Hichan Moon
http://arxiv.org/abs/1910.04941v1
• [eess.SY]Altering nodes types in controlling complex networks
Xizhe Zhang, Yuyan Zhu, Yongkang Zhao
http://arxiv.org/abs/1910.06047v1
• [eess.SY]Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation
Changfu Li, Chenrui Jin, Ratnesh Sharma
http://arxiv.org/abs/1910.05907v1
• [eess.SY]Mind the ground: A Power Spectral Density-based estimator for all-terrain rovers
Giulio Reina, Antonio Leanza, Annalisa Milella, Arcangelo Messina
http://arxiv.org/abs/1910.06066v1
• [math.AP]An Image Segmentation Model Based on a Variational Formulation
Carlos M. Paniagua Mejia
http://arxiv.org/abs/1910.05678v1
• [math.CO]Hamming Distances in Vector Spaces over Finite Fields
Esen Aksoy Yazici
http://arxiv.org/abs/1910.05557v1
• [math.MG]A Simple Differential Geometry for Networks and its Generalizations
Emil Saucan, Areejit Samal, Jürgen Jost
http://arxiv.org/abs/1910.06258v1
• [math.NA]Machine Learning for Prediction with Missing Dynamics
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
http://arxiv.org/abs/1910.05861v1
• [math.OC]Global-Local Metamodel Assisted Two-Stage Optimization via Simulation
Wei Xie, Yuan Yi, Hua Zheng
http://arxiv.org/abs/1910.05863v1
• [math.OC]Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach
Haoran Sun, Songtao Lu, Mingyi Hong
http://arxiv.org/abs/1910.05857v1
• [math.OC]Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
http://arxiv.org/abs/1910.05505v1
• [math.PR]Drift, Minorization, and Hitting Times
Robert M. Anderson, Haosui Duanmu, Aaron Smith, Jun Yang
http://arxiv.org/abs/1910.05904v1
• [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
Vladimir Spokoiny, Maxim Panov
http://arxiv.org/abs/1910.06028v1
• [math.ST]First order expansion of convex regularized estimators
Pierre C Bellec, Arun K Kuchibhotla
http://arxiv.org/abs/1910.05480v1
• [math.ST]Five Shades of Grey: Phase Transitions in High-dimensional Multiple Testing
Zheng Gao
http://arxiv.org/abs/1910.05701v1
• [math.ST]Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll
http://arxiv.org/abs/1910.06235v1
• [math.ST]The Search for Truth through Data: NP Decision Processes, ROC Functions, $P$-Functionals, Knowledge Updating and Sequential Learning
Edsel A. Pena
http://arxiv.org/abs/1910.05486v1
• [math.ST]Uniform convergence rates for the approximated halfspace and projection depth
Stanislav Nagy, Rainer Dyckerhoff, Pavlo Mozharovskyi
http://arxiv.org/abs/1910.05956v1
• [physics.soc-ph]Network Modularity Controls the Speed of Information Diffusion
Hao Peng, Azadeh Nematzadeh, Daniel M. Romero, Emilio Ferrara
http://arxiv.org/abs/1910.05870v1
• [q-bio.PE]Mathematical Modelling and Analysis of Transmission Dynamics of Lassa fever
Bakare E. A., Are E. B., Abolarin O. E., Osanyinlusi S. A., Ngwu Benitho, Ubaka Obiaderi N
http://arxiv.org/abs/1910.05846v1
• [stat.AP]Nonparametric Bayesian multi-armed bandits for single cell experiment design
Federico Camerlenghi, Bianca Dumitrascu, Federico Ferrari, Barbara E. Engelhardt, Stefano Favaro
http://arxiv.org/abs/1910.05355v1
• [stat.AP]Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data
Youjin Lee, Trang Q. Nguyen, Elizabeth A. Stuart
http://arxiv.org/abs/1910.05600v1
• [stat.AP]Regression for Copula-linked Compound Distributions with Applications in Modeling Aggregate Insurance Claims
Peng Shi, Zifeng Zhao
http://arxiv.org/abs/1910.05676v1
• [stat.AP]Short-term photovoltaic generation forecasting using multiple heterogenous sources of data
Kevin Bellinguer, Robin Girard, Guillaume Bontron, Georges Kariniotakis
http://arxiv.org/abs/1910.05944v1
• [stat.AP]Spatio-Temporal Mixed Models to Predict Coverage Error Rates at Local Areas
Sepideh Mosaferi
http://arxiv.org/abs/1910.05494v1
• [stat.AP]The Bayesian Synthetic Control: Improved Counterfactual Estimation in the Social Sciences through Probabilistic Modeling
Elias Tuomaala
http://arxiv.org/abs/1910.06106v1
• [stat.AP]Wearables and location tracking technologies for mental-state sensing in outdoor environments
Amit Birenboim, Martin Dijst, Floortje Scheepers, Maartje Poelman, Marco Helbich
http://arxiv.org/abs/1910.06137v1
• [stat.ME]A Pooled Quantile Estimator for Parallel Simulations
Qiong Zhang, Bo Wang, Wei Xie
http://arxiv.org/abs/1910.05845v1
• [stat.ME]A Recommendation for Net Undercount Estimation in Iran Population and Dwelling Censuses
Sepideh Mosaferi, Hamidreza Navvabpour
http://arxiv.org/abs/1910.05620v1
• [stat.ME]Adaptive design for Gaussian process regression under censoring
Jialei Chen, Simon Mak, V. Roshan Joseph, Chuck Zhang
http://arxiv.org/abs/1910.05452v1
• [stat.ME]An Imputation model by Dirichlet Process Mixture of Elliptical Copulas for Data of Mixed Type
Jiali Wang, Anton Westveld, Bronwyn Loong, Alan Welsh
http://arxiv.org/abs/1910.05473v1
• [stat.ME]Bayesian generalized linear model for over and under dispersed counts
Alan Huang, Andy Sangil Kim
http://arxiv.org/abs/1910.06008v1
• [stat.ME]Comment on “Blessings of Multiple Causes”
Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen
http://arxiv.org/abs/1910.05438v1
• [stat.ME]Distribution-free conditional predictive bands using density estimators
Rafael Izbicki, Gilson T. Shimizu, Rafael B. Stern
http://arxiv.org/abs/1910.05575v1
• [stat.ME]Empirical and Constrained Empirical Bayes Variance Estimation Under A One Unit Per Stratum Sample Design
Sepideh Mosaferi
http://arxiv.org/abs/1910.05840v1
• [stat.ME]Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling
Rui Meng, Soper Braden, Jan Nygard, Mari Nygrad, Herbert Lee
http://arxiv.org/abs/1910.05847v1
• [stat.ME]Improving Precision through Adjustment for Prognostic Variables in Group Sequential Trial Designs: Impact of Baseline Variables, Short-Term Outcomes, and Treatment Effect Heterogeneity
Tianchen Qian, Michael Rosenblum, Huitong Qiu
http://arxiv.org/abs/1910.05800v1
• [stat.ME]Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Rui Meng, Braden Soper, Herbert Lee, Vincent X. Liu, John D. Greene, Priyadip Ray
http://arxiv.org/abs/1910.05851v1
• [stat.ME]Real-time outlier detection for large datasets by RT-DetMCD
Bart De Ketelaere, Mia Hubert, Jakob Raymaekers, Peter J. Rousseeuw, Iwein Vranckx
http://arxiv.org/abs/1910.05615v1
• [stat.ML]Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation
Marko Järvenpää, Aki Vehtari, Pekka Marttinen
http://arxiv.org/abs/1910.06121v1
• [stat.ML]Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method
Tian Chen, Lingge Li, Gabriel Elias, Norbert Fortin, Babak Shahbaba
http://arxiv.org/abs/1910.05695v1
• [stat.ML]Bayesian Optimization using Pseudo-Points
Chao Qian, Hang Xiong
http://arxiv.org/abs/1910.05484v1
• [stat.ML]If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
Arnu Pretorius, Elan van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steve James, Benjamin Rosman, Herman Kamper, Steve Kroon
http://arxiv.org/abs/1910.05725v1
• [stat.ML]Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo
Adam D. Cobb, Atılım Güneş Baydin, Andrew Markham, Stephen J. Roberts
http://arxiv.org/abs/1910.06243v1
• [stat.ML]Optimal Clustering from Noisy Binary Feedback
Kaito Ariu, Jungseul Ok, Alexandre Proutiere, Se-Young Yun
http://arxiv.org/abs/1910.06002v1
• [stat.ML]Pathological spectra of the Fisher information metric and its variants in deep neural networks
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
http://arxiv.org/abs/1910.05992v1
• [stat.ML]Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
Quentin Mérigot, Alex Delalande, Frédéric Chazal
http://arxiv.org/abs/1910.05954v1
• [stat.ML]Regularized Sparse Gaussian Processes
Rui Meng, Herbert Lee, Soper Braden, Priyadip Ray
http://arxiv.org/abs/1910.05843v1
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Benyamin Ghojogh, Fakhri Karray, Mark Crowley
http://arxiv.org/abs/1910.05437v1
• [stat.ML]Spectral clustering in the weighted stochastic block model
Ian Gallagher, Anna Bertiger, Carey Priebe, Patrick Rubin-Delanchy
http://arxiv.org/abs/1910.05534v1
• [stat.ML]Two-sample Testing Using Deep Learning
Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert
http://arxiv.org/abs/1910.06239v1
• [stat.ML]Unsupervised Discovery of Sparse Multimodal Representations in High Dimensional Data
Samuel Melton, Sharad Ramanathan
http://arxiv.org/abs/1910.05814v1
• [stat.ML]Variational Tracking and Prediction with Generative Disentangled State-Space Models
Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
http://arxiv.org/abs/1910.06205v1
• [stat.ML]What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination
Laura Niss, Ambuj Tewari
http://arxiv.org/abs/1910.05625v1
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