cs.AI - 人工智能

    cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 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.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.ST - 统计理论 physics.ins-det - 仪器和探测器 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Probability Logic
    • [cs.AI]Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior
    • [cs.AI]The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
    • [cs.AR]The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface
    • [cs.CL]Aligning Cross-Lingual Entities with Multi-Aspect Information
    • [cs.CL]Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
    • [cs.CL]Detecting Machine-Translated Text using Back Translation
    • [cs.CL]FacTweet: Profiling Fake News Twitter Accounts
    • [cs.CL]Facebook AI’s WAT19 Myanmar-English Translation Task Submission
    • [cs.CL]Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
    • [cs.CL]Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN
    • [cs.CL]Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
    • [cs.CL]NumNet: Machine Reading Comprehension with Numerical Reasoning
    • [cs.CL]On the Importance of Word Boundaries in Character-level Neural Machine Translation
    • [cs.CL]Pruning a BERT-based Question Answering Model
    • [cs.CL]Text2Math: End-to-end Parsing Text into Math Expressions
    • [cs.CL]Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
    • [cs.CL]Whatcha lookin’ at? DeepLIFTing BERT’s Attention in Question Answering
    • [cs.CR]Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection
    • [cs.CR]Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime
    • [cs.CR]Cascading Machine Learning to Attack Bitcoin Anonymity
    • [cs.CR]Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
    • [cs.CV]A Compact Neural Architecture for Visual Place Recognition
    • [cs.CV]A Method to Generate Synthetically Warped Document Image
    • [cs.CV]Background Segmentation for Vehicle Re-Identification
    • [cs.CV]Being the center of attention: A Person-Context CNN framework for Personality Recognition
    • [cs.CV]Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
    • [cs.CV]Building Information Modeling and Classification by Visual Learning At A City Scale
    • [cs.CV]Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
    • [cs.CV]DeepGCNs: Making GCNs Go as Deep as CNNs
    • [cs.CV]Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
    • [cs.CV]End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
    • [cs.CV]End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
    • [cs.CV]Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
    • [cs.CV]FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
    • [cs.CV]Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
    • [cs.CV]IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector
    • [cs.CV]Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
    • [cs.CV]Learning Generalisable Omni-Scale Representations for Person Re-Identification
    • [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
    • [cs.CV]Mask-Guided Attention Network for Occluded Pedestrian Detection
    • [cs.CV]Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
    • [cs.CV]Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
    • [cs.CV]Seeing and Hearing Egocentric Actions: How Much Can We Learn?
    • [cs.CV]SegSort: Segmentation by Discriminative Sorting of Segments
    • [cs.CV]Stereo-based Multi-motion Visual Odometry for Mobile Robots
    • [cs.CV]Target-Oriented Deformation of Visual-Semantic Embedding Space
    • [cs.CV]Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
    • [cs.CV]Tiny Video Networks
    • [cs.CV]Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
    • [cs.CY]How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
    • [cs.CY]The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System
    • [cs.DC]An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems
    • [cs.DC]BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems
    • [cs.DC]Byzantine-Tolerant Register in a System with Continuous Churn
    • [cs.DC]Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation
    • [cs.DC]Hydra: A Multiple Blockchain Protocol for Improving Transaction Throughput
    • [cs.DC]Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy
    • [cs.DC]Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
    • [cs.DS]FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence
    • [cs.DS]Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
    • [cs.DS]Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
    • [cs.GR]PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
    • [cs.IR]An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
    • [cs.IR]Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity
    • [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
    • [cs.IR]The Impact of Popularity Bias on Fairness and Calibration in Recommendation
    • [cs.IT]Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
    • [cs.IT]Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
    • [cs.IT]Further study of $2$-to-$1$ mappings over $\mathbb{F}_{2^n}$
    • [cs.IT]Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex
    • [cs.IT]Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
    • [cs.IT]Numerically stable coded matrix computations via circulant and rotation matrix embeddings
    • [cs.IT]On Generalized LDPC Codes for 5G Ultra Reliable Communication
    • [cs.IT]Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage
    • [cs.IT]Performance of High Mobility MIMO Communications with Doppler Diversity
    • [cs.IT]Practical Product Code Construction of Polar Codes
    • [cs.IT]Reversible cyclic codes over $\mathbb{F}_q + u \mathbb{F}_q$
    • [cs.IT]Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
    • [cs.LG]A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme
    • [cs.LG]Adaptive Step Sizes in Variance Reduction via Regularization
    • [cs.LG]Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
    • [cs.LG]Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
    • [cs.LG]BoTorch: Programmable Bayesian Optimization in PyTorch
    • [cs.LG]Breadth-first, Depth-next Training of Random Forests
    • [cs.LG]Compacting, Picking and Growing for Unforgetting Continual Learning
    • [cs.LG]Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
    • [cs.LG]DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
    • [cs.LG]Deep learning for Aerosol Forecasting
    • [cs.LG]Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
    • [cs.LG]Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
    • [cs.LG]Extracting robust and accurate features via a robust information bottleneck
    • [cs.LG]Federated Learning for Coalition Operations
    • [cs.LG]Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
    • [cs.LG]Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis
    • [cs.LG]Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation
    • [cs.LG]Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
    • [cs.LG]Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
    • [cs.LG]MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
    • [cs.LG]Machine Learning for Generalizable Prediction of Flood Susceptibility
    • [cs.LG]Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
    • [cs.LG]Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
    • [cs.LG]Neural tangent kernels, transportation mappings, and universal approximation
    • [cs.LG]On Higher-order Moments in Adam
    • [cs.LG]Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators
    • [cs.LG]Probabilistic Time of Arrival Localization
    • [cs.LG]Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
    • [cs.LG]REVE: Regularizing Deep Learning with Variational Entropy Bound
    • [cs.LG]Reinforcement learning with spiking coagents
    • [cs.LG]Robust Importance Weighting for Covariate Shift
    • [cs.LG]SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning
    • [cs.LG]SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
    • [cs.LG]SafeCritic: Collision-Aware Trajectory Prediction
    • [cs.LG]Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
    • [cs.LG]Stabilizing Transformers for Reinforcement Learning
    • [cs.LG]The Local Elasticity of Neural Networks
    • [cs.LG]Thresholding Bandit Problem with Both Duels and Pulls
    • [cs.LG]Training CNNs faster with Dynamic Input and Kernel Downsampling
    • [cs.LG]Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
    • [cs.LG]ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
    • [cs.NE]Analyzing symmetry and symmetry breaking by computational aesthetic measures
    • [cs.NE]DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
    • [cs.NE]Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
    • [cs.NE]State of Compact Architecture Search For Deep Neural Networks
    • [cs.PF]AI Benchmark: All About Deep Learning on Smartphones in 2019
    • [cs.PF]TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
    • [cs.RO]A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints
    • [cs.RO]Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields
    • [cs.RO]Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints
    • [cs.RO]Forward Kinematics Kernel for Improved Proxy Collision Checking
    • [cs.RO]Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
    • [cs.RO]Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance
    • [cs.RO]Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
    • [cs.RO]On the Effects of Collision Avoidance on Emergent Swarm Behavior
    • [cs.RO]On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics
    • [cs.RO]Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
    • [cs.RO]Topological Navigation Graph
    • [cs.RO]Trajectory Advancement for Robot Stand-up with Human Assistance
    • [cs.SD]Acoustic Scene Classification Based on a Large-margin Factorized CNN
    • [cs.SD]VFNet: A Convolutional Architecture for Accent Classification
    • [cs.SD]Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
    • [cs.SI]Altering control modes of complex networks based on edge removal
    • [cs.SI]Eva: Attribute-Aware Network Segmentation
    • [cs.SI]Link Prediction via Graph Attention Network
    • [cs.SI]RiWalk: Fast Structural Node Embedding via Role Identification
    • [cs.SI]Spatial Data Science: Closing the human-spatial computing-environment loop
    • [cs.SI]Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand
    • [eess.AS]Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
    • [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
    • [eess.IV]Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
    • [eess.IV]Liver segmentation and metastases detection in MR images using convolutional neural networks
    • [eess.SY]Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
    • [eess.SY]Identification of Behavioural Models for Railway Turnouts Monitoring
    • [eess.SY]Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
    • [eess.SY]Sizing of a PV/Battery System Through Stochastic Control and Plant Aggregation
    • [math.CO]Perfect Multi Deletion Codes Achieve the Asymptotic Optimality of Code Size
    • [math.NA]A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form
    • [math.NA]Data-Driven Deep Learning of Partial Differential Equations in Modal Space
    • [math.ST]3rd-order Spectral Representation Method: Part I — Multi-dimensional random fields with fast Fourier transform implementation
    • [math.ST]A greedy anytime algorithm for sparse PCA
    • [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
    • [math.ST]All of Linear Regression
    • [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
    • [physics.ins-det]Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs
    • [physics.soc-ph]Contrarian effects and echo chamber formation in opinion dynamics
    • [physics.soc-ph]Networks of monetary flow at native resolution
    • [physics.soc-ph]Paradoxical Urban Scaling Across Cities and Over Time
    • [stat.AP]New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
    • [stat.AP]Principled estimation of regression discontinuity designs with covariates: a machine learning approach
    • [stat.AP]SVRPF: An Improved Particle Filter for a Nonlinear/non-Gaussian Environment
    • [stat.AP]Sovereign Risk Indices and Bayesian Theory Averaging
    • [stat.AP]The Statistical Performance of Matching-Adjusted Indirect Comparisons
    • [stat.AP]The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
    • [stat.ME]A hypothesis testing framework for the ratio of means of two negative binomial distributions: classifying the efficacy of anthelmintic treatment against intestinal parasites
    • [stat.ME]Beta Rank Function: A Smooth Double-Pareto-Like Distribution
    • [stat.ME]Comment on “Blessings of Multiple Causes”
    • [stat.ME]Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
    • [stat.ME]Generalized Evolutionary Point Processes: Model Specifications and Model Comparison
    • [stat.ME]Measurement error as a missing data problem
    • [stat.ME]Network Mediation Analysis Using Model-based Eigenvalue Decomposition
    • [stat.ME]Optimal Paired Comparison Block Designs
    • [stat.ML]A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads
    • [stat.ML]Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
    • [stat.ML]Bayesian Temporal Factorization for Multidimensional Time Series Prediction
    • [stat.ML]Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
    • [stat.ML]Continuous and Discrete-Time Survival Prediction with Neural Networks
    • [stat.ML]Counterfactual diagnosis
    • [stat.ML]Discriminator optimal transport
    • [stat.ML]Improved Generalization Bound of Permutation Invariant Deep Neural Networks
    • [stat.ML]Learning Sample-Specific Models with Low-Rank Personalized Regression

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    • [cs.AI]Probability Logic
    Niki Pfeifer
    http://arxiv.org/abs/1910.06624v1

    • [cs.AI]Solving Logic Grid Puzzles with an Algorithm that Imitates Human Behavior
    Guillaume Escamocher, Barry O’Sullivan
    http://arxiv.org/abs/1910.06636v1

    • [cs.AI]The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
    Amanda Gentzel, Dan Garant, David Jensen
    http://arxiv.org/abs/1910.05387v1

    • [cs.AR]The Memory Controller Wall: Benchmarking the Intel FPGA SDK for OpenCL Memory Interface
    Hamid Reza Zohouri, Satoshi Matsuoka
    http://arxiv.org/abs/1910.06726v1

    • [cs.CL]Aligning Cross-Lingual Entities with Multi-Aspect Information
    Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun
    http://arxiv.org/abs/1910.06575v1

    • [cs.CL]Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
    Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen
    http://arxiv.org/abs/1910.06954v1

    • [cs.CL]Detecting Machine-Translated Text using Back Translation
    Hoang-Quoc Nguyen-Son, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto
    http://arxiv.org/abs/1910.06558v1

    • [cs.CL]FacTweet: Profiling Fake News Twitter Accounts
    Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso
    http://arxiv.org/abs/1910.06592v1

    • [cs.CL]Facebook AI’s WAT19 Myanmar-English Translation Task Submission
    Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc’Aurelio Ranzato
    http://arxiv.org/abs/1910.06848v1

    • [cs.CL]Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
    Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
    http://arxiv.org/abs/1910.06492v1

    • [cs.CL]Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN
    Duy Tin Vo, Richard Khoury
    http://arxiv.org/abs/1910.06748v1

    • [cs.CL]Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
    Sourav Dutta
    http://arxiv.org/abs/1910.06411v1

    • [cs.CL]NumNet: Machine Reading Comprehension with Numerical Reasoning
    Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu
    http://arxiv.org/abs/1910.06701v1

    • [cs.CL]On the Importance of Word Boundaries in Character-level Neural Machine Translation
    Duygu Ataman, Orhan Firat, Mattia A. Di Gangi, Marcello Federico, Alexandra Birch
    http://arxiv.org/abs/1910.06753v1

    • [cs.CL]Pruning a BERT-based Question Answering Model
    J. S. McCarley
    http://arxiv.org/abs/1910.06360v1

    • [cs.CL]Text2Math: End-to-end Parsing Text into Math Expressions
    Yanyan Zou, Wei Lu
    http://arxiv.org/abs/1910.06571v1

    • [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/1910.06241v2

    • [cs.CL]Whatcha lookin’ at? DeepLIFTing BERT’s Attention in Question Answering
    Ekaterina Arkhangelskaia, Sourav Dutta
    http://arxiv.org/abs/1910.06431v1

    • [cs.CR]Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection
    Qian Chen, Sheikh Rabiul Islam, Henry Haswell, Robert A. Bridges
    http://arxiv.org/abs/1910.06469v1

    • [cs.CR]Bridging Information Security and Environmental Criminology Research to Better Mitigate Cybercrime
    Colin C. Ife, Toby Davies, Steven J. Murdoch, Gianluca Stringhini
    http://arxiv.org/abs/1910.06380v1

    • [cs.CR]Cascading Machine Learning to Attack Bitcoin Anonymity
    Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia
    http://arxiv.org/abs/1910.06560v1

    • [cs.CR]Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
    Derui, Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang
    http://arxiv.org/abs/1910.06838v1

    • [cs.CV]A Compact Neural Architecture for Visual Place Recognition
    Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford
    http://arxiv.org/abs/1910.06840v1

    • [cs.CV]A Method to Generate Synthetically Warped Document Image
    Arpan Garai, Samit Biswas, Sekhar Mandal, Bidyut. B. Chaudhuri
    http://arxiv.org/abs/1910.06621v1

    • [cs.CV]Background Segmentation for Vehicle Re-Identification
    Mingjie Wu, Yongfei Zhang, Tianyu Zhang, Wenqi Zhang
    http://arxiv.org/abs/1910.06613v1

    • [cs.CV]Being the center of attention: A Person-Context CNN framework for Personality Recognition
    Dario Dotti, Mirela Popa, Stylianos Asteriadis
    http://arxiv.org/abs/1910.06690v1

    • [cs.CV]Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
    Joseph Z. Xu, Wenhan Lu, Zebo Li, Pranav Khaitan, Valeriya Zaytseva
    http://arxiv.org/abs/1910.06444v1

    • [cs.CV]Building Information Modeling and Classification by Visual Learning At A City Scale
    Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank Mckenna, Ertugrul Taciroglu, Kincho H. Law
    http://arxiv.org/abs/1910.06391v1

    • [cs.CV]Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling
    Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi
    http://arxiv.org/abs/1910.06808v1

    • [cs.CV]DeepGCNs: Making GCNs Go as Deep as CNNs
    Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem
    http://arxiv.org/abs/1910.06849v1

    • [cs.CV]Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
    Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li
    http://arxiv.org/abs/1910.06727v1

    • [cs.CV]End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
    Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
    http://arxiv.org/abs/1910.06474v1

    • [cs.CV]End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
    Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
    http://arxiv.org/abs/1910.06528v1

    • [cs.CV]Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
    Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun
    http://arxiv.org/abs/1910.06475v1

    • [cs.CV]FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
    Jigar Doshi, Dominic Garcia, Cliff Massey, Pablo Llueca, Nicolas Borensztein, Michael Baird, Matthew Cook, Devaki Raj
    http://arxiv.org/abs/1910.06407v1

    • [cs.CV]Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
    Ahmed Mazari, Hichem Sahbi
    http://arxiv.org/abs/1910.06934v1

    • [cs.CV]IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector
    Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen
    http://arxiv.org/abs/1910.06573v1

    • [cs.CV]Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
    Shizhe Chen, Yida Zhao, Yuqing Song, Qin Jin, Qi Wu
    http://arxiv.org/abs/1910.06737v1

    • [cs.CV]Learning Generalisable Omni-Scale Representations for Person Re-Identification
    Kaiyang Zhou, Xiatian Zhu, Yongxin Yang, Andrea Cavallaro, Tao Xiang
    http://arxiv.org/abs/1910.06827v1

    • [cs.CV]Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
    Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/1910.06809v1

    • [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/1910.06160v2

    • [cs.CV]Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
    Jasper S. Wijnands, Jason Thompson, Kerry A. Nice, Gideon D. P. A. Aschwanden, Mark Stevenson
    http://arxiv.org/abs/1910.06540v1

    • [cs.CV]Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks
    Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian
    http://arxiv.org/abs/1910.06428v1

    • [cs.CV]Seeing and Hearing Egocentric Actions: How Much Can We Learn?
    Alejandro Cartas, Jordi Luque, Petia Radeva, Carlos Segura, Mariella Dimiccoli
    http://arxiv.org/abs/1910.06693v1

    • [cs.CV]SegSort: Segmentation by Discriminative Sorting of Segments
    Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
    http://arxiv.org/abs/1910.06962v1

    • [cs.CV]Stereo-based Multi-motion Visual Odometry for Mobile Robots
    Qing Zhao, Bin Luo, Yun Zhang
    http://arxiv.org/abs/1910.06607v1

    • [cs.CV]Target-Oriented Deformation of Visual-Semantic Embedding Space
    Takashi Matsubara
    http://arxiv.org/abs/1910.06514v1

    • [cs.CV]Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
    Shuangjie Xu, Feng Xu, Yu Cheng, Pan Zhou
    http://arxiv.org/abs/1910.06426v1

    • [cs.CV]Tiny Video Networks
    AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
    http://arxiv.org/abs/1910.06961v1

    • [cs.CV]Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
    Xiaoli Liu, Jianqin Yin, Jin Tang, Zhicheng Zhang
    http://arxiv.org/abs/1910.06583v1

    • [cs.CY]How to eliminate detour behaviors in E-hailing: On-line detection and Pricing regulation
    Qiong Tian, Yue Yang, Jiaqi Wen, Fan Ding, Jing He
    http://arxiv.org/abs/1910.06949v1

    • [cs.CY]The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System
    Ryan C. Taylor, Xiaofan Liang, Manfred D. Laubichler, Geoffrey B. West, Christopher P. Kempes, Marion Dumas
    http://arxiv.org/abs/1910.05470v1

    • [cs.DC]An Approach for Realistically Simulating the Performance of Scientific Applications on High Performance Computing Systems
    Ali Mohammed, Ahmed Eleliemy, Florina M. Ciorba, Franziska Kasielke, Ioana Banicescu
    http://arxiv.org/abs/1910.06844v1

    • [cs.DC]BACKUS: Comprehensive High-Performance Research Software Engineering Approach for Simulations in Supercomputing Systems
    Matan Rusanovsky, Re’em Harel, Lee-or Alon, Idan Mosseri, Harel Levin, Gal Oren
    http://arxiv.org/abs/1910.06415v1

    • [cs.DC]Byzantine-Tolerant Register in a System with Continuous Churn
    Saptaparni Kumar, Jennifer L. Welch
    http://arxiv.org/abs/1910.06716v1

    • [cs.DC]Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation
    Jing Fu, Bill Moran
    http://arxiv.org/abs/1910.06567v1

    • [cs.DC]Hydra: A Multiple Blockchain Protocol for Improving Transaction Throughput
    Rowel Gündlach, Jaap-Henk Hoepman, Remco van der Hofstad, Tommy Koens, Stijn Meijer
    http://arxiv.org/abs/1910.06682v1

    • [cs.DC]Modern Multicore CPUs are not Energy Proportional: Opportunity for Bi-objective Optimization for Performance and Energy
    Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey Lastovetsky
    http://arxiv.org/abs/1910.06674v1

    • [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/1910.05433v2

    • [cs.DS]FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence
    Yongzhe Zhang, Ariful Azad, Zhenjiang Hu
    http://arxiv.org/abs/1910.05971v1

    • [cs.DS]Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
    Yujia Jin, Aaron Sidford
    http://arxiv.org/abs/1910.06517v1

    • [cs.DS]Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
    Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang
    http://arxiv.org/abs/1910.06151v1

    • [cs.GR]PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
    Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
    http://arxiv.org/abs/1910.06511v1

    • [cs.IR]An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
    Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Farhaan Mirza
    http://arxiv.org/abs/1910.06669v1

    • [cs.IR]Computational Psychology to Embed Emotions into News or Advertisements to Increase Reader Affinity
    Hrishikesh Kulkarni, P Joshi, P Chande
    http://arxiv.org/abs/1910.06859v1

    • [cs.IR]Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation
    Zeman Shao, Runyu Mao, Fengqing Zhu
    http://arxiv.org/abs/1910.05242v2

    • [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/1910.05755v2

    • [cs.IT]Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
    Rodrigo R. M. de Alencar, Lukas T. N. Landau
    http://arxiv.org/abs/1910.06465v1

    • [cs.IT]Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
    Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
    http://arxiv.org/abs/1910.06960v1

    • [cs.IT]Further study of $2$-to-$1$ mappings over $\mathbb{F}_{2^n}$
    Kangquan Li, Sihem Mesnager, Longjiang Qu
    http://arxiv.org/abs/1910.06654v1

    • [cs.IT]Joint Sparse Beamforming and Power Control for Large-scale DAS with Network Assistant Full Duplex
    Xinjiang Xia, Pengcheng Zhu, Jiamin Li, Dongming Wang, Yuanxue Xin, Xiaohu You
    http://arxiv.org/abs/1910.06692v1

    • [cs.IT]Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes
    Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson
    http://arxiv.org/abs/1910.06845v1

    • [cs.IT]Numerically stable coded matrix computations via circulant and rotation matrix embeddings
    Aditya Ramamoorthy, Li Tang
    http://arxiv.org/abs/1910.06515v1

    • [cs.IT]On Generalized LDPC Codes for 5G Ultra Reliable Communication
    Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
    http://arxiv.org/abs/1910.06574v1

    • [cs.IT]Optimal Codes Correcting a Single Indel / Edit for DNA-Based Data Storage
    Kui Cai, Yeow Meng Chee, Ryan Gabrys, Han Mao Kiah, Tuan Thanh Nguyen
    http://arxiv.org/abs/1910.06501v1

    • [cs.IT]Performance of High Mobility MIMO Communications with Doppler Diversity
    Xiaoyun Hou, Jie Ling, Dongming Wang
    http://arxiv.org/abs/1910.06491v1

    • [cs.IT]Practical Product Code Construction of Polar Codes
    Carlo Condo, Valerio Bioglio, Hartmut Hafermann, Ingmar Land
    http://arxiv.org/abs/1910.06803v1

    • [cs.IT]Reversible cyclic codes over $\mathbb{F}_q + u \mathbb{F}_q$
    Om Prakash, Shikha Patel, Shikha Yadav
    http://arxiv.org/abs/1910.06830v1

    • [cs.IT]Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
    Renjie Jin, Yiran Cao, Yu Jiang, Jinquan Luo
    http://arxiv.org/abs/1910.06769v1

    • [cs.LG]A unified view of likelihood ratio and reparameterization gradients and an optimal importance sampling scheme
    Paavo Parmas, Masashi Sugiyama
    http://arxiv.org/abs/1910.06419v1

    • [cs.LG]Adaptive Step Sizes in Variance Reduction via Regularization
    Bingcong Li, Georgios B. Giannakis
    http://arxiv.org/abs/1910.06532v1

    • [cs.LG]Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
    Luis Polanco, Jose A. Perea
    http://arxiv.org/abs/1910.06741v1

    • [cs.LG]Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
    Lars Buesing, Nicolas Heess, Theophane Weber
    http://arxiv.org/abs/1910.06862v1

    • [cs.LG]BoTorch: Programmable Bayesian Optimization in PyTorch
    Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
    http://arxiv.org/abs/1910.06403v1

    • [cs.LG]Breadth-first, Depth-next Training of Random Forests
    Andreea Anghel, Nikolas Ioannou, Thomas Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
    http://arxiv.org/abs/1910.06853v1

    • [cs.LG]Compacting, Picking and Growing for Unforgetting Continual Learning
    Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming, Chan, Chu-Song Chen
    http://arxiv.org/abs/1910.06562v1

    • [cs.LG]Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
    Alexia Jolicoeur-Martineau, Ioannis Mitliagkas
    http://arxiv.org/abs/1910.06922v1

    • [cs.LG]DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
    Frederik Harder, Jonas Köhler, Max Welling, Mijung Park
    http://arxiv.org/abs/1910.06924v1

    • [cs.LG]Deep learning for Aerosol Forecasting
    Caleb Hoyne, S. Karthik Mukkavilli, David Meger
    http://arxiv.org/abs/1910.06789v1

    • [cs.LG]Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
    Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
    http://arxiv.org/abs/1910.06792v1

    • [cs.LG]Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
    Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
    http://arxiv.org/abs/1910.06611v1

    • [cs.LG]Extracting robust and accurate features via a robust information bottleneck
    Ankit Pensia, Varun Jog, Po-Ling Loh
    http://arxiv.org/abs/1910.06893v1

    • [cs.LG]Federated Learning for Coalition Operations
    D. Verma, S. Calo, S. Witherspoon, E. Bertino, A. Abu Jabal, A. Swami, G. Cirincione, S. Julier, G. White, G. de Mel, G. Pearson
    http://arxiv.org/abs/1910.06799v1

    • [cs.LG]Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
    Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez
    http://arxiv.org/abs/1910.06750v1

    • [cs.LG]Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/1910.06742v1

    • [cs.LG]Improving Robustness of time series classifier with Neural ODE guided gradient based data augmentation
    Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar
    http://arxiv.org/abs/1910.06813v1

    • [cs.LG]Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
    Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, Yu Hirate
    http://arxiv.org/abs/1910.06535v1

    • [cs.LG]Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder
    Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S C Lim, Alejandro Luebs, Oriol Vinyals, Thomas C Walters
    http://arxiv.org/abs/1910.06464v1

    • [cs.LG]MSD-Kmeans: A Novel Algorithm for Efficient Detection of Global and Local Outliers
    Yuanyuan Wei, Julian Jang-Jaccard, Fariza Sabrina, Timothy McIntosh
    http://arxiv.org/abs/1910.06588v1

    • [cs.LG]Machine Learning for Generalizable Prediction of Flood Susceptibility
    Chelsea Sidrane, Dylan J Fitzpatrick, Andrew Annex, Diane O’Donoghue, Yarin Gal, Piotr Biliński
    http://arxiv.org/abs/1910.06521v1

    • [cs.LG]Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
    Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
    http://arxiv.org/abs/1910.06456v1

    • [cs.LG]Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
    YoungJoon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
    http://arxiv.org/abs/1910.06705v1

    • [cs.LG]Neural tangent kernels, transportation mappings, and universal approximation
    Ziwei Ji, Matus Telgarsky, Ruicheng Xian
    http://arxiv.org/abs/1910.06956v1

    • [cs.LG]On Higher-order Moments in Adam
    Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M Lee, Chinmay Hegde, Soumik Sarkar
    http://arxiv.org/abs/1910.06878v1

    • [cs.LG]Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators
    Ritchie Zhao, Christopher De Sa, Zhiru Zhang
    http://arxiv.org/abs/1910.06909v1

    • [cs.LG]Probabilistic Time of Arrival Localization
    Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
    http://arxiv.org/abs/1910.06569v1

    • [cs.LG]Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
    Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho
    http://arxiv.org/abs/1910.06864v1

    • [cs.LG]REVE: Regularizing Deep Learning with Variational Entropy Bound
    Antoine Saporta, Yifu Chen, Michael Blot, Matthieu Cord
    http://arxiv.org/abs/1910.06816v1

    • [cs.LG]Reinforcement learning with spiking coagents
    Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
    http://arxiv.org/abs/1910.06489v1

    • [cs.LG]Robust Importance Weighting for Covariate Shift
    Henry Lam, Fengpei Li, Siddharth Prusty
    http://arxiv.org/abs/1910.06324v1

    • [cs.LG]SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning
    Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
    http://arxiv.org/abs/1910.06378v1

    • [cs.LG]SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
    Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
    http://arxiv.org/abs/1910.06591v1

    • [cs.LG]SafeCritic: Collision-Aware Trajectory Prediction
    Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves
    http://arxiv.org/abs/1910.06673v1

    • [cs.LG]Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
    Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles
    http://arxiv.org/abs/1910.06509v1

    • [cs.LG]Stabilizing Transformers for Reinforcement Learning
    Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
    http://arxiv.org/abs/1910.06764v1

    • [cs.LG]The Local Elasticity of Neural Networks
    Hangfeng He, Weijie J. Su
    http://arxiv.org/abs/1910.06943v1

    • [cs.LG]Thresholding Bandit Problem with Both Duels and Pulls
    Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
    http://arxiv.org/abs/1910.06368v1

    • [cs.LG]Training CNNs faster with Dynamic Input and Kernel Downsampling
    Zissis Poulos, Ali Nouri, Andreas Moshovos
    http://arxiv.org/abs/1910.06548v1

    • [cs.LG]Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
    Yao Liu, Pierre-Luc Bacon, Emma Brunskill
    http://arxiv.org/abs/1910.06508v1

    • [cs.LG]ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
    Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox
    http://arxiv.org/abs/1910.06513v1

    • [cs.NE]Analyzing symmetry and symmetry breaking by computational aesthetic measures
    Hendrik Richter
    http://arxiv.org/abs/1910.06610v1

    • [cs.NE]DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
    Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
    http://arxiv.org/abs/1910.06500v1

    • [cs.NE]Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
    Filip Badan, Lukas Sekanina
    http://arxiv.org/abs/1910.06854v1

    • [cs.NE]State of Compact Architecture Search For Deep Neural Networks
    Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong
    http://arxiv.org/abs/1910.06466v1

    • [cs.PF]AI Benchmark: All About Deep Learning on Smartphones in 2019
    Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool
    http://arxiv.org/abs/1910.06663v1

    • [cs.PF]TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs
    Ali Mirzaeian, Houman Homayoun, Avesta Sasan
    http://arxiv.org/abs/1910.06458v1

    • [cs.RO]A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints
    Giovanni Miraglia, Loyd Hook IV
    http://arxiv.org/abs/1910.06460v1

    • [cs.RO]Concurrent Flow-Based Localization and Mapping in Time-Invariant Flow Fields
    Zhuoyuan Song, Kamran Mohseni
    http://arxiv.org/abs/1910.06530v1

    • [cs.RO]Feedback Motion Plan Verification for Vehicles with Bounded Curvature Constraints
    Giovanni Miraglia, Loyd Hook IV
    http://arxiv.org/abs/1910.06797v1

    • [cs.RO]Forward Kinematics Kernel for Improved Proxy Collision Checking
    Nikhil Das, Michael C. Yip
    http://arxiv.org/abs/1910.06451v1

    • [cs.RO]Learning to Generate 6-DoF Grasp Poses with Reachability Awareness
    Xibai Lou, Yang Yang, Changhyun Choi
    http://arxiv.org/abs/1910.06404v1

    • [cs.RO]Learning-based Intelligent Attack against Mobile Robots with Obstacle-avoidance
    Yushan Li, Jianping He, Cailian Chen, Xinping Guan
    http://arxiv.org/abs/1910.06461v1

    • [cs.RO]Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
    Eunah Jung, Nan Yang, Daniel Cremers
    http://arxiv.org/abs/1910.06632v1

    • [cs.RO]On the Effects of Collision Avoidance on Emergent Swarm Behavior
    Chris Taylor, Colin Luzzi, Cameron Nowzari
    http://arxiv.org/abs/1910.06412v1

    • [cs.RO]On the Hardware Feasibility of Nonlinear Trajectory Optimization for Legged Locomotion based on a Simplified Dynamics
    Angelo Bratta, Romeo Orsolino, Michele Focchi, Victor Barasuol, Giovanni Gerardo Muscolo, Claudio Semini
    http://arxiv.org/abs/1910.06855v1

    • [cs.RO]Real-time Data Driven Precision Estimator for RAVEN-II Surgical Robot End Effector Position
    Haonan Peng, Xingjian Yang, Yun-Hsuan Su, Blake Hannaford
    http://arxiv.org/abs/1910.06425v1

    • [cs.RO]Topological Navigation Graph
    Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius
    http://arxiv.org/abs/1910.06658v1

    • [cs.RO]Trajectory Advancement for Robot Stand-up with Human Assistance
    Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Daniele Pucci
    http://arxiv.org/abs/1910.06786v1

    • [cs.SD]Acoustic Scene Classification Based on a Large-margin Factorized CNN
    Janghoon Cho, Sungrack Yun, Hyoungwoo Park, Jungyun Eum, Kyuwoong Hwang
    http://arxiv.org/abs/1910.06784v1

    • [cs.SD]VFNet: A Convolutional Architecture for Accent Classification
    Asad Ahmed, Pratham Tangri, Anirban Panda, Dhruv Ramani, Samarjit Karmakar
    http://arxiv.org/abs/1910.06697v1

    • [cs.SD]Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
    Hyoungwoo Park, Sungrack Yun, Jungyun Eum, Janghoon Cho, Kyuwoong Hwang
    http://arxiv.org/abs/1910.06790v1

    • [cs.SI]Altering control modes of complex networks based on edge removal
    Xizhe Zhang, Qian Li
    http://arxiv.org/abs/1910.06052v1

    • [cs.SI]Eva: Attribute-Aware Network Segmentation
    Salvatore Citraro, Giulio Rossetti
    http://arxiv.org/abs/1910.06599v1

    • [cs.SI]Link Prediction via Graph Attention Network
    Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang
    http://arxiv.org/abs/1910.04807v2

    • [cs.SI]RiWalk: Fast Structural Node Embedding via Role Identification
    Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang
    http://arxiv.org/abs/1910.06541v1

    • [cs.SI]Spatial Data Science: Closing the human-spatial computing-environment loop
    Benjamin Adams
    http://arxiv.org/abs/1910.06484v1

    • [cs.SI]Understanding population fluctuations through volunteered geographic information and novel indicators: The experience of Rakiura, Stewart Island, New Zealand
    Mathew Darling, Benjamin Adams, Caroline Orchiston, Thomas Wilson, Brendon Bradley
    http://arxiv.org/abs/1910.06493v1

    • [eess.AS]Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
    Yi Luo, Zhuo Chen, Takuya Yoshioka
    http://arxiv.org/abs/1910.06379v1

    • [eess.AS]MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
    Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe
    http://arxiv.org/abs/1910.06522v1

    • [eess.IV]Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
    Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
    http://arxiv.org/abs/1910.06950v1

    • [eess.IV]Liver segmentation and metastases detection in MR images using convolutional neural networks
    Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
    http://arxiv.org/abs/1910.06635v1

    • [eess.SY]Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
    Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekara, Renata Borovica-Gajic
    http://arxiv.org/abs/1910.06788v1

    • [eess.SY]Identification of Behavioural Models for Railway Turnouts Monitoring
    Pegah Barkhordari, Roberto Galeazzi, Alejandro de Miguel Tejada, Ilmar F. Santos
    http://arxiv.org/abs/1910.06582v1

    • [eess.SY]Physics-Informed Deep Neural Network Method for Limited Observability State Estimation
    Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman
    http://arxiv.org/abs/1910.06401v1

    • [eess.SY]Sizing of a PV/Battery System Through Stochastic Control and Plant Aggregation
    Thomas Carriere, Christophe Vernay, Sebastien Pitaval, Franccois-Pascal Neirac, George Kariniotakis
    http://arxiv.org/abs/1910.06828v1

    • [math.CO]Perfect Multi Deletion Codes Achieve the Asymptotic Optimality of Code Size
    Takehiko Mori, Manabu Hagiwara
    http://arxiv.org/abs/1910.06740v1

    • [math.NA]A stable discontinuous Galerkin method for the perfectly matched layer for elastodynamics in first order form
    Kenneth Duru, Leonhard Rannabauer, Alice-Agnes Gabriel, Gunilla Kreiss
    http://arxiv.org/abs/1910.06477v1

    • [math.NA]Data-Driven Deep Learning of Partial Differential Equations in Modal Space
    Kailiang Wu, Dongbin Xiu
    http://arxiv.org/abs/1910.06948v1

    • [math.ST]3rd-order Spectral Representation Method: Part I — Multi-dimensional random fields with fast Fourier transform implementation
    Lohit Vandanapu, Michael D. Shields
    http://arxiv.org/abs/1910.06420v1

    • [math.ST]A greedy anytime algorithm for sparse PCA
    Guy Holtzman, Adam Soffer, Dan Vilenchik
    http://arxiv.org/abs/1910.06846v1

    • [math.ST]Accuracy of Gaussian approximation in nonparametric Bernstein — von Mises Theorem
    Vladimir Spokoiny, Maxim Panov
    http://arxiv.org/abs/1910.06028v2

    • [math.ST]All of Linear Regression
    Arun K. Kuchibhotla, Lawrence D. Brown, Andreas Buja, Junhui Cai
    http://arxiv.org/abs/1910.06386v1

    • [math.ST]Bayesian Inverse Problems with Heterogeneous Variance
    Natalia Bochkina, Jenovah Rodrigues
    http://arxiv.org/abs/1910.06914v1

    • [physics.ins-det]Electron Neutrino Energy Reconstruction in NOvA Using CNN Particle IDs
    Shiqi Yu
    http://arxiv.org/abs/1910.06953v1

    • [physics.soc-ph]Contrarian effects and echo chamber formation in opinion dynamics
    Henrique Ferraz de Arruda, Alexandre Benatti, Filipi Nascimento Silva, Cesar Henrique Comin, Luciano da Fontoura Costa
    http://arxiv.org/abs/1910.06487v1

    • [physics.soc-ph]Networks of monetary flow at native resolution
    Carolina Mattsson
    http://arxiv.org/abs/1910.05596v1

    • [physics.soc-ph]Paradoxical Urban Scaling Across Cities and Over Time
    Gang Xu, Zhengzi Zhou, Limin Jiao, Ruiqi Li
    http://arxiv.org/abs/1910.06732v1

    • [stat.AP]New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
    Guanyu Hu, Fred Huffer, Ming-Hui Chen
    http://arxiv.org/abs/1910.06870v1

    • [stat.AP]Principled estimation of regression discontinuity designs with covariates: a machine learning approach
    Jason Anastasopoulos
    http://arxiv.org/abs/1910.06381v1

    • [stat.AP]SVRPF: An Improved Particle Filter for a Nonlinear/non-Gaussian Environment
    Xingzi Qiang, Yanbo Zhu, Rui Xue
    http://arxiv.org/abs/1910.06503v1

    • [stat.AP]Sovereign Risk Indices and Bayesian Theory Averaging
    Alex Lenkoski, Fredrik Lohne Aanes
    http://arxiv.org/abs/1910.06596v1

    • [stat.AP]The Statistical Performance of Matching-Adjusted Indirect Comparisons
    David Cheng, Rajeev Ayyagari, James Signorovitch
    http://arxiv.org/abs/1910.06449v1

    • [stat.AP]The Value of Summary Statistics for Anomaly Detection in Temporally-Evolving Networks: A Performance Evaluation Study
    Lata Kodali, Srijan Sengupta, Leanna House, William H. Woodall
    http://arxiv.org/abs/1910.06497v1

    • [stat.ME]A hypothesis testing framework for the ratio of means of two negative binomial distributions: classifying the efficacy of anthelmintic treatment against intestinal parasites
    Matthew Denwood, Giles Innocent, Jamie Prentice, Louise Matthews, Stuart Reid, Christian Pipper, Bruno Levecke, Ray Kaplan, Andrew Kotze, Jennifer Keiser, Marta Palmeirim, Iain McKendrick
    http://arxiv.org/abs/1910.06667v1

    • [stat.ME]Beta Rank Function: A Smooth Double-Pareto-Like Distribution
    Oscar Fontanelli, Pedro Miramontes, Ricardo Mansilla, Germinal Cocho, Wentian Li
    http://arxiv.org/abs/1910.05364v1

    • [stat.ME]Comment on “Blessings of Multiple Causes”
    Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen
    http://arxiv.org/abs/1910.05438v2

    • [stat.ME]Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
    John Paige, Geir-Arne Fuglstad, Andrea Riebler, Jon Wakefield
    http://arxiv.org/abs/1910.06512v1

    • [stat.ME]Generalized Evolutionary Point Processes: Model Specifications and Model Comparison
    Philip A. White, Alan E. Gelfand
    http://arxiv.org/abs/1910.06897v1

    • [stat.ME]Measurement error as a missing data problem
    Ruth H. Keogh, Jonathan W. Bartlett
    http://arxiv.org/abs/1910.06443v1

    • [stat.ME]Network Mediation Analysis Using Model-based Eigenvalue Decomposition
    Chang Che, Ick Hoon Jin, Zhiyong Zhang
    http://arxiv.org/abs/1910.06538v1

    • [stat.ME]Optimal Paired Comparison Block Designs
    Eric Nyarko
    http://arxiv.org/abs/1910.06390v1

    • [stat.ML]A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads
    Andrés M. Alonso, F. Javier Nogales, Carlos Ruiz
    http://arxiv.org/abs/1910.06640v1

    • [stat.ML]Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
    Christopher Frye, Ilya Feige, Colin Rowat
    http://arxiv.org/abs/1910.06358v1

    • [stat.ML]Bayesian Temporal Factorization for Multidimensional Time Series Prediction
    Lijun Sun, Xinyu Chen
    http://arxiv.org/abs/1910.06366v1

    • [stat.ML]Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks
    Theodore Papamarkou, Jacob Hinkle, M. Todd Young, David Womble
    http://arxiv.org/abs/1910.06539v1

    • [stat.ML]Continuous and Discrete-Time Survival Prediction with Neural Networks
    Håvard Kvamme, Ørnulf Borgan
    http://arxiv.org/abs/1910.06724v1

    • [stat.ML]Counterfactual diagnosis
    Jonathan G. Richens, Ciaran M. Lee, Saurabh Johri
    http://arxiv.org/abs/1910.06772v1

    • [stat.ML]Discriminator optimal transport
    Akinori Tanaka
    http://arxiv.org/abs/1910.06832v1

    • [stat.ML]Improved Generalization Bound of Permutation Invariant Deep Neural Networks
    Akiyoshi Sannai, Masaaki Imaizumi
    http://arxiv.org/abs/1910.06552v1

    • [stat.ML]Learning Sample-Specific Models with Low-Rank Personalized Regression
    Benjamin Lengerich, Bryon Aragam, Eric P. Xing
    http://arxiv.org/abs/1910.06939v1