astro-ph.GA - 星系天体物理学

    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.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.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.LO - 逻辑演算 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-fin.MF - 数学金融 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.GA]Cataloging Accreted Stars within Gaia DR2 using Deep Learning
    • [cs.AI]A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
    • [cs.AI]Logic Conditionals, Supervenience, and Selection Tasks
    • [cs.AI]Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
    • [cs.AI]On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems
    • [cs.CL]A Simple BERT-Based Approach for Lexical Simplification
    • [cs.CL]A generic rule-based system for clinical trial patient selection
    • [cs.CL]Language comparison via network topology
    • [cs.CL]Low-supervision urgency detection and transfer in short crisis messages
    • [cs.CL]Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection
    • [cs.CL]RadioTalk: a large-scale corpus of talk radio transcripts
    • [cs.CL]Towards Near-imperceptible Steganographic Text
    • [cs.CR]Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
    • [cs.CV]2nd Place Solution to the GQA Challenge 2019
    • [cs.CV]A General Framework for Uncertainty Estimation in Deep Learning
    • [cs.CV]A Short Note on the Kinetics-700 Human Action Dataset
    • [cs.CV]A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
    • [cs.CV]AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
    • [cs.CV]Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
    • [cs.CV]Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision
    • [cs.CV]Deep inspection: an electrical distribution pole parts study via deep neural networks
    • [cs.CV]Efficient Pipeline for Camera Trap Image Review
    • [cs.CV]Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
    • [cs.CV]EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud
    • [cs.CV]Fused Detection of Retinal Biomarkers in OCT Volumes
    • [cs.CV]How much real data do we actually need: Analyzing object detection performance using synthetic and real data
    • [cs.CV]Human Pose Estimation for Real-World Crowded Scenarios
    • [cs.CV]Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
    • [cs.CV]Improving Semantic Segmentation via Dilated Affinity
    • [cs.CV]Instant Motion Tracking and Its Applications to Augmented Reality
    • [cs.CV]Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach
    • [cs.CV]Mango Tree Net — A fully convolutional network for semantic segmentation and individual crown detection of mango trees
    • [cs.CV]MaskPlus: Improving Mask Generation for Instance Segmentation
    • [cs.CV]On the ‘’steerability” of generative adversarial networks
    • [cs.CV]Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
    • [cs.CV]Perception of visual numerosity in humans and machines
    • [cs.CV]Predicting Next-Season Designs on High Fashion Runway
    • [cs.CV]Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
    • [cs.CV]Real-time Hair Segmentation and Recoloring on Mobile GPUs
    • [cs.CV]Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
    • [cs.CV]Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence
    • [cs.CV]Separable Convolutional LSTMs for Faster Video Segmentation
    • [cs.CV]Slow Feature Analysis for Human Action Recognition
    • [cs.CV]Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information
    • [cs.CV]Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis
    • [cs.CV]Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
    • [cs.CY]Assessing Refugees’ Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors
    • [cs.CY]Ethical Underpinnings in the Design and Management of ICT Projects
    • [cs.CY]Gender Balance in Computer Science and Engineering in Italian Universities
    • [cs.CY]Measuring I2P Censorship at a Global Scale
    • [cs.CY]Modeling competitive evolution of multiple languages
    • [cs.DC]DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business Intelligence
    • [cs.DC]DeepRace: Finding Data Race Bugs via Deep Learning
    • [cs.DC]Distributed data storage for modern astroparticle physics experiments
    • [cs.DC]Partitioning Graphs for the Cloud using Reinforcement Learning
    • [cs.DC]Step-by-Step Community Detection for Volume-Regular Graphs
    • [cs.DC]Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus
    • [cs.DS]Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
    • [cs.DS]On The Termination of a Flooding Process
    • [cs.HC]Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
    • [cs.IR]Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
    • [cs.IR]Deep Social Collaborative Filtering
    • [cs.IR]Quality-aware skill translation models for expert finding on StackOverflow
    • [cs.IT]A Unified Framework for Problems on Guessing, Source Coding and Task Partitioning
    • [cs.IT]An efficient method to construct self-dual cyclic codes of length $p^s$ over $\mathbb{F}{pm}$
    • [cs.IT]Asynchronous Coded Caching
    • [cs.IT]Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference
    • [cs.IT]Construction and enumeration for self-dual cyclic codes of even length over $\mathbb{F}    {2^m} + u\mathbb{F}_{2^m}$
    • [cs.IT]Energy-efficient Alternating Iterative Secure Structure of Maximizing Secrecy Rate for Directional Modulation Networks
    • [cs.IT]Massive MU-MIMO-OFDM Uplink with Direct RF-Sampling and 1-Bit ADCs
    • [cs.IT]On the Relationships Between Average Channel Capacity, Average Bit Error Rate, Outage probability and Outage Capacity over Additive White Gaussian Noise Channels
    • [cs.IT]Study of Max-Link Relay Selection with Buffers for Multi-Way Cooperative Multi-Antenna Systems
    • [cs.LG]A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
    • [cs.LG]A Self-Attentive model for Knowledge Tracing
    • [cs.LG]A Stratification Approach to Partial Dependence for Codependent Variables
    • [cs.LG]An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
    • [cs.LG]Deep network as memory space: complexity, generalization, disentangled representation and interpretability
    • [cs.LG]Efficient Autonomy Validation in Simulation with Adaptive Stress Testing
    • [cs.LG]Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
    • [cs.LG]Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
    • [cs.LG]Explaining Classifiers with Causal Concept Effect (CaCE)
    • [cs.LG]Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
    • [cs.LG]Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
    • [cs.LG]Latent Adversarial Defence with Boundary-guided Generation
    • [cs.LG]Light Multi-segment Activation for Model Compression
    • [cs.LG]Meta-Learning for Black-box Optimization
    • [cs.LG]Motorway Traffic Flow Prediction using Advanced Deep Learning
    • [cs.LG]Natural Adversarial Examples
    • [cs.LG]On improving learning capability of ELM and an application to brain-computer interface
    • [cs.LG]PPO Dash: Improving Generalization in Deep Reinforcement Learning
    • [cs.LG]Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
    • [cs.LG]Random projections and sampling algorithms for clustering of high-dimensional polygonal curves
    • [cs.LG]Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data
    • [cs.LG]SGD momentum optimizer with step estimation by online parabola model
    • [cs.LG]Selection Heuristics on Semantic Genetic Programming for Classification Problems
    • [cs.LG]Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems
    • [cs.LG]Structured Variational Inference in Unstable Gaussian Process State Space Models
    • [cs.LG]Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation
    • [cs.LG]The Bregman-Tweedie Classification Model
    • [cs.LG]The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0
    • [cs.LG]The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
    • [cs.LG]Topology Based Scalable Graph Kernels
    • [cs.MA]Broadcast Distributed Voting Algorithm in Population Protocols
    • [cs.NE]Modeling User Selection in Quality Diversity
    • [cs.NE]Prediction of neural network performance by phenotypic modeling
    • [cs.RO]A Quadrotor with an Origami-Inspired Protective Mechanism
    • [cs.RO]Adaptive Prior Selection for Repertoire-based Online Learning in Robotics
    • [cs.RO]Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation
    • [cs.RO]Mutual Reinforcement Learning
    • [cs.RO]Sampling-based Motion Planning via Control Barrier Functions
    • [cs.SD]The Bach Doodle: Approachable music composition with machine learning at scale
    • [cs.SI]Homophily as a process generating social networks: insights from Social Distance Attachment model
    • [cs.SI]Hubs and authorities of the scientific migration network
    • [econ.EM]Information processing constraints in travel behaviour modelling: A generative learning approach
    • [econ.TH]Unforeseen Evidence
    • [eess.AS]Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling
    • [eess.IV]AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
    • [eess.IV]Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation
    • [eess.IV]Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning
    • [eess.IV]CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
    • [eess.IV]Deep learning-based color holographic microscopy
    • [eess.IV]X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
    • [eess.SP]Machine learning without a feature set for detecting bursts in the EEG of preterm infants
    • [eess.SY]A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
    • [math.LO]Abstract categorial grammars with island constraints and effective decidability
    • [math.PR]Stochastic Evolution of spatial populations: From configurations to genealogies and back
    • [math.ST]On the $L_p$-error of the Grenander-type estimator in the Cox model
    • [math.ST]Variable selection in sparse high-dimensional GLARMA models
    • [physics.soc-ph]Data-driven strategies for optimal bicycle network growth
    • [q-fin.MF]Quant GANs: Deep Generation of Financial Time Series
    • [quant-ph]Quantum Data Fitting Algorithm for Non-sparse Matrices
    • [stat.AP]Improving Bayesian Local Spatial Models in Large Data Sets
    • [stat.AP]Outliers in meta-analysis: an asymmetric trimmed-mean approach
    • [stat.CO]Stochastic gradient Markov chain Monte Carlo
    • [stat.ME]Alternating Dynamic Programming for Multiple Epidemic Change-Point Estimation
    • [stat.ME]Defining mediation effects for multiple mediators using the concept of the target randomized trial
    • [stat.ME]Detecting anomalies in fibre systems using 3-dimensional image data
    • [stat.ME]Elastic depths for detecting shape anomalies in functional data
    • [stat.ME]Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models
    • [stat.ME]Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
    • [stat.ME]Quantifying replicability and consistency in systematic reviews
    • [stat.ML]A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
    • [stat.ML]The continuous Bernoulli: fixing a pervasive error in variational autoencoders

    ·····································

    • [astro-ph.GA]Cataloging Accreted Stars within Gaia DR2 using Deep Learning
    Bryan Ostdiek, Lina Necib, Timothy Cohen, Marat Freytsis, Mariangela Lisanti, Shea Garrison-Kimmel, Andrew Wetzel, Robyn E. Sanderson, Philip F. Hopkins
    http://arxiv.org/abs/1907.06652v1

    • [cs.AI]A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
    A. Serb, I. Kobyzev, J. Wang, T. Prodromakis
    http://arxiv.org/abs/1907.05688v2

    • [cs.AI]Logic Conditionals, Supervenience, and Selection Tasks
    Giovanni Sileno
    http://arxiv.org/abs/1907.06773v1

    • [cs.AI]Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
    Rafael Brandão, Joel Carbonera, Clarisse de Souza, Juliana Ferreira, Bernardo Gonçalves, Carla Leitão
    http://arxiv.org/abs/1907.07178v1

    • [cs.AI]On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems
    Stefano V. Albrecht, Subramanian Ramamoorthy
    http://arxiv.org/abs/1907.06995v1

    • [cs.CL]A Simple BERT-Based Approach for Lexical Simplification
    Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan
    http://arxiv.org/abs/1907.06226v2

    • [cs.CL]A generic rule-based system for clinical trial patient selection
    Jianlin Shi, Kevin Graves, John F. Hurdle
    http://arxiv.org/abs/1907.06860v1

    • [cs.CL]Language comparison via network topology
    Blaž Škrlj, Senja Pollak
    http://arxiv.org/abs/1907.06944v1

    • [cs.CL]Low-supervision urgency detection and transfer in short crisis messages
    Mayank Kejriwal, Peilin Zhou
    http://arxiv.org/abs/1907.06745v1

    • [cs.CL]Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection
    Sooji Han, Jie Gao, Fabio Ciravegna
    http://arxiv.org/abs/1907.07033v1

    • [cs.CL]RadioTalk: a large-scale corpus of talk radio transcripts
    Doug Beeferman, William Brannon, Deb Roy
    http://arxiv.org/abs/1907.07073v1

    • [cs.CL]Towards Near-imperceptible Steganographic Text
    Falcon Z. Dai, Zheng Cai
    http://arxiv.org/abs/1907.06679v1

    • [cs.CR]Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
    Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao
    http://arxiv.org/abs/1907.06826v1

    • [cs.CV]2nd Place Solution to the GQA Challenge 2019
    Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas
    http://arxiv.org/abs/1907.06794v1

    • [cs.CV]A General Framework for Uncertainty Estimation in Deep Learning
    Mattia Segù, Antonio Loquercio, Davide Scaramuzza
    http://arxiv.org/abs/1907.06890v1

    • [cs.CV]A Short Note on the Kinetics-700 Human Action Dataset
    Joao Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman
    http://arxiv.org/abs/1907.06987v1

    • [cs.CV]A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
    Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A Velastin
    http://arxiv.org/abs/1907.06968v1

    • [cs.CV]AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
    Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
    http://arxiv.org/abs/1907.06757v1

    • [cs.CV]Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
    Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1907.06881v1

    • [cs.CV]Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision
    Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman
    http://arxiv.org/abs/1907.07023v1

    • [cs.CV]Deep inspection: an electrical distribution pole parts study via deep neural networks
    Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian Lovell
    http://arxiv.org/abs/1907.06844v1

    • [cs.CV]Efficient Pipeline for Camera Trap Image Review
    Sara Beery, Dan Morris, Siyu Yang
    http://arxiv.org/abs/1907.06772v1

    • [cs.CV]Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
    Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam Tsai, Fei Yang, Yuri Boykov
    http://arxiv.org/abs/1907.07156v1

    • [cs.CV]EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud
    Yu Chen, Guan Wang
    http://arxiv.org/abs/1907.07160v1

    • [cs.CV]Fused Detection of Retinal Biomarkers in OCT Volumes
    Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman
    http://arxiv.org/abs/1907.06955v1

    • [cs.CV]How much real data do we actually need: Analyzing object detection performance using synthetic and real data
    Farzan Erlik Nowruzi, Prince Kapoor, Dhanvin Kolhatkar, Fahed Al Hassanat, Robert Laganiere, Julien Rebut
    http://arxiv.org/abs/1907.07061v1

    • [cs.CV]Human Pose Estimation for Real-World Crowded Scenarios
    Thomas Golda, Tobias Kalb, Arne Schumann, Jürgen Beyerer
    http://arxiv.org/abs/1907.06922v1

    • [cs.CV]Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
    Jason Ku, Alex D. Pon, Sean Walsh, Steven L. Waslander
    http://arxiv.org/abs/1907.06777v1

    • [cs.CV]Improving Semantic Segmentation via Dilated Affinity
    Boxi Wu, Shuai Zhao, Wenqing Chu, Zheng Yang, Deng Cai
    http://arxiv.org/abs/1907.07011v1

    • [cs.CV]Instant Motion Tracking and Its Applications to Augmented Reality
    Jianing Wei, Genzhi Ye, Tyler Mullen, Matthias Grundmann, Adel Ahmadyan, Tingbo Hou
    http://arxiv.org/abs/1907.06796v1

    • [cs.CV]Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach
    Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
    http://arxiv.org/abs/1907.06882v1

    • [cs.CV]Mango Tree Net — A fully convolutional network for semantic segmentation and individual crown detection of mango trees
    Vikas Agaradahalli Gurumurthy, Ramesh Kestur, Omkar Narasipura
    http://arxiv.org/abs/1907.06915v1

    • [cs.CV]MaskPlus: Improving Mask Generation for Instance Segmentation
    Shichao Xu, Shuyue Lan, Qi Zhu
    http://arxiv.org/abs/1907.06713v1

    • [cs.CV]On the ‘’steerability” of generative adversarial networks
    Ali Jahanian, Lucy Chai, Phillip Isola
    http://arxiv.org/abs/1907.07171v1

    • [cs.CV]Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
    Borna Bićanić, Marin Oršić, Ivan Marković, Siniša Šegvić, Ivan Petrović
    http://arxiv.org/abs/1907.07045v1

    • [cs.CV]Perception of visual numerosity in humans and machines
    Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi
    http://arxiv.org/abs/1907.06996v1

    • [cs.CV]Predicting Next-Season Designs on High Fashion Runway
    Yusan Lin, Hao Yang
    http://arxiv.org/abs/1907.07161v1

    • [cs.CV]Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
    Yury Kartynnik, Artsiom Ablavatski, Ivan Grishchenko, Matthias Grundmann
    http://arxiv.org/abs/1907.06724v1

    • [cs.CV]Real-time Hair Segmentation and Recoloring on Mobile GPUs
    Andrei Tkachenka, Gregory Karpiak, Andrey Vakunov, Yury Kartynnik, Artsiom Ablavatski, Valentin Bazarevsky, Siargey Pisarchyk
    http://arxiv.org/abs/1907.06740v1

    • [cs.CV]Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
    Deng-Ping Fan, Zheng Lin, Jia-Xing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng
    http://arxiv.org/abs/1907.06781v1

    • [cs.CV]Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence
    Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng
    http://arxiv.org/abs/1907.06941v1

    • [cs.CV]Separable Convolutional LSTMs for Faster Video Segmentation
    Andreas Pfeuffer, Klaus Dietmayer
    http://arxiv.org/abs/1907.06876v1

    • [cs.CV]Slow Feature Analysis for Human Action Recognition
    Zhang Zhang, Dacheng Tao
    http://arxiv.org/abs/1907.06670v1

    • [cs.CV]Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information
    Róbert-Adrian Rill
    http://arxiv.org/abs/1907.06989v1

    • [cs.CV]Stereo-based terrain traversability analysis using normal-based segmentation and superpixel surface analysis
    Aras R. Dargazany
    http://arxiv.org/abs/1907.06823v1

    • [cs.CV]Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
    Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng
    http://arxiv.org/abs/1907.07034v1

    • [cs.CY]Assessing Refugees’ Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors
    Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex ‘Sandy’ Pentland, Gigliola Vaglini
    http://arxiv.org/abs/1907.06929v1

    • [cs.CY]Ethical Underpinnings in the Design and Management of ICT Projects
    Aaditeshwar Seth
    http://arxiv.org/abs/1907.06809v1

    • [cs.CY]Gender Balance in Computer Science and Engineering in Italian Universities
    Moreno Marzolla, Raffaela Mirandola
    http://arxiv.org/abs/1907.07009v1

    • [cs.CY]Measuring I2P Censorship at a Global Scale
    Nguyen Phong Hoang, Sadie Doreen, Michalis Polychronakis
    http://arxiv.org/abs/1907.07120v1

    • [cs.CY]Modeling competitive evolution of multiple languages
    Zejie Zhou, Boleslaw K. Szymanski, Jianxi Gao
    http://arxiv.org/abs/1907.06848v1

    • [cs.DC]DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business Intelligence
    Gustavo V. Machado, Ítalo Cunha, Adriano C. M. Pereira, Leonardo B. Oliveira
    http://arxiv.org/abs/1907.06723v1

    • [cs.DC]DeepRace: Finding Data Race Bugs via Deep Learning
    Ali Tehrani, Mohammed Khaleel, Reza Akbari, Ali Jannesari
    http://arxiv.org/abs/1907.07110v1

    • [cs.DC]Distributed data storage for modern astroparticle physics experiments
    Alexander Kryukov, Minh-Duc Nguyen, Igor Bychkov, Andrey Mikhailov, Alexey Shigarov, Julia Dubenskaya
    http://arxiv.org/abs/1907.06863v1

    • [cs.DC]Partitioning Graphs for the Cloud using Reinforcement Learning
    Mohammad Hasanzadeh Mofrad, Rami Melhem, Mohammad Hammoud
    http://arxiv.org/abs/1907.06768v1

    • [cs.DC]Step-by-Step Community Detection for Volume-Regular Graphs
    Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
    http://arxiv.org/abs/1907.07149v1

    • [cs.DC]Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus
    Bryan Ford
    http://arxiv.org/abs/1907.07010v1

    • [cs.DS]Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
    Deeksha Adil, Richard Peng, Sushant Sachdeva
    http://arxiv.org/abs/1907.07167v1

    • [cs.DS]On The Termination of a Flooding Process
    Walter Hussak, Amitabh Trehan
    http://arxiv.org/abs/1907.07078v1

    • [cs.HC]Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
    Arunesh Mathur, Gunes Acar, Michael Friedman, Elena Lucherini, Jonathan Mayer, Marshini Chetty, Arvind Narayanan
    http://arxiv.org/abs/1907.07032v1

    • [cs.IR]Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
    Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
    http://arxiv.org/abs/1907.06902v1

    • [cs.IR]Deep Social Collaborative Filtering
    Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
    http://arxiv.org/abs/1907.06853v1

    • [cs.IR]Quality-aware skill translation models for expert finding on StackOverflow
    Arash Dargahi Nobari, Mahmood Neshati, Sajad Sotudeh Gharebagh
    http://arxiv.org/abs/1907.06836v1

    • [cs.IT]A Unified Framework for Problems on Guessing, Source Coding and Task Partitioning
    M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar
    http://arxiv.org/abs/1907.06889v1

    • [cs.IT]An efficient method to construct self-dual cyclic codes of length $p^s$ over $\mathbb{F}_{pm}$
    Yuan Cao, Yonglin Cao, Hai Q. Dinh, Somphong Jitman
    http://arxiv.org/abs/1907.07107v1

    • [cs.IT]Asynchronous Coded Caching
    Hooshang Ghasemi, Aditya Ramamoorthy
    http://arxiv.org/abs/1907.06801v1

    • [cs.IT]Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference
    Jean Barbier
    http://arxiv.org/abs/1907.07103v1

    • [cs.IT]Construction and enumeration for self-dual cyclic codes of even length over $\mathbb{F}{2^m} + u\mathbb{F}{2^m}$
    Yuan Cao, Yonglin Cao, Hai Q. Dinh, Fang-Wei Fu, Fanghui Ma
    http://arxiv.org/abs/1907.07111v1

    • [cs.IT]Energy-efficient Alternating Iterative Secure Structure of Maximizing Secrecy Rate for Directional Modulation Networks
    Linlin Sun, Jiayu Li, Yu Zhang, Yuntian Wang, Linqing Gui, Fanyuan Li, Haochen Li, Zhihong Zhuang, Feng Shu
    http://arxiv.org/abs/1907.06817v1

    • [cs.IT]Massive MU-MIMO-OFDM Uplink with Direct RF-Sampling and 1-Bit ADCs
    Sven Jacobsson, Lise Aabel, Mikael Coldrey, Ibrahim Can Sezgin, Christian Fager, Giuseppe Durisi, Christoph Studer
    http://arxiv.org/abs/1907.07091v1

    • [cs.IT]On the Relationships Between Average Channel Capacity, Average Bit Error Rate, Outage probability and Outage Capacity over Additive White Gaussian Noise Channels
    Ferkan Yilmaz
    http://arxiv.org/abs/1907.06634v1

    • [cs.IT]Study of Max-Link Relay Selection with Buffers for Multi-Way Cooperative Multi-Antenna Systems
    F. L. Duarte, R. C. de Lamare
    http://arxiv.org/abs/1907.06793v1

    • [cs.LG]A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
    Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao
    http://arxiv.org/abs/1907.06814v1

    • [cs.LG]A Self-Attentive model for Knowledge Tracing
    Shalini Pandey, George Karypis
    http://arxiv.org/abs/1907.06837v1

    • [cs.LG]A Stratification Approach to Partial Dependence for Codependent Variables
    Terence Parr, James D. Wilson
    http://arxiv.org/abs/1907.06698v1

    • [cs.LG]An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
    Kang-Ho Lee, JoonHyun Jeong, Sung-Ho Bae
    http://arxiv.org/abs/1907.06835v1

    • [cs.LG]Deep network as memory space: complexity, generalization, disentangled representation and interpretability
    X. Dong, L. Zhou
    http://arxiv.org/abs/1907.06572v1

    • [cs.LG]Efficient Autonomy Validation in Simulation with Adaptive Stress Testing
    Mark Koren, Mykel Kochenderfer
    http://arxiv.org/abs/1907.06795v1

    • [cs.LG]Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
    Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye
    http://arxiv.org/abs/1907.06584v1

    • [cs.LG]Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
    Fan Yang, Mengnan Du, Xia Hu
    http://arxiv.org/abs/1907.06831v1

    • [cs.LG]Explaining Classifiers with Causal Concept Effect (CaCE)
    Yash Goyal, Uri Shalit, Been Kim
    http://arxiv.org/abs/1907.07165v1

    • [cs.LG]Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
    Bao Wang, Stanley J. Osher
    http://arxiv.org/abs/1907.06800v1

    • [cs.LG]Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
    Tianqi Wang, Dong Eui Chang
    http://arxiv.org/abs/1907.06838v1

    • [cs.LG]Latent Adversarial Defence with Boundary-guided Generation
    Xiaowei Zhou, Ivor W. Tsang, Jie Yin
    http://arxiv.org/abs/1907.07001v1

    • [cs.LG]Light Multi-segment Activation for Model Compression
    Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
    http://arxiv.org/abs/1907.06870v1

    • [cs.LG]Meta-Learning for Black-box Optimization
    Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff
    http://arxiv.org/abs/1907.06901v1

    • [cs.LG]Motorway Traffic Flow Prediction using Advanced Deep Learning
    Adriana-Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
    http://arxiv.org/abs/1907.06356v2

    • [cs.LG]Natural Adversarial Examples
    Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song
    http://arxiv.org/abs/1907.07174v1

    • [cs.LG]On improving learning capability of ELM and an application to brain-computer interface
    Apdullah Yayık, Yakup Kutlu, Gökhan Altan
    http://arxiv.org/abs/1907.06633v1

    • [cs.LG]PPO Dash: Improving Generalization in Deep Reinforcement Learning
    Joe Booth
    http://arxiv.org/abs/1907.06704v1

    • [cs.LG]Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
    Alejandro Molina, Patrick Schramowski, Kristian Kersting
    http://arxiv.org/abs/1907.06732v1

    • [cs.LG]Random projections and sampling algorithms for clustering of high-dimensional polygonal curves
    Stefan Meintrup, Alexander Munteanu, Dennis Rohde
    http://arxiv.org/abs/1907.06969v1

    • [cs.LG]Robust Variational Autoencoders for Outlier Detection in Mixed-Type Data
    Simão Eduardo, Alfredo Nazábal, Christopher K. I. Williams, Charles Sutton
    http://arxiv.org/abs/1907.06671v1

    • [cs.LG]SGD momentum optimizer with step estimation by online parabola model
    Jarek Duda
    http://arxiv.org/abs/1907.07063v1

    • [cs.LG]Selection Heuristics on Semantic Genetic Programming for Classification Problems
    Claudia N. Sánchez, Mario Graff
    http://arxiv.org/abs/1907.07066v1

    • [cs.LG]Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems
    Mark D. McDonnell, Hesham Mostafa, Runchun Wang, Andre van Schaik
    http://arxiv.org/abs/1907.06916v1

    • [cs.LG]Structured Variational Inference in Unstable Gaussian Process State Space Models
    Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause
    http://arxiv.org/abs/1907.07035v1

    • [cs.LG]Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation
    Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
    http://arxiv.org/abs/1907.06771v1

    • [cs.LG]The Bregman-Tweedie Classification Model
    Hyenkyun Woo
    http://arxiv.org/abs/1907.06923v1

    • [cs.LG]The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.0
    Kamil Khadiev, Ilnaz Mannapov, Liliya Safina
    http://arxiv.org/abs/1907.06840v1

    • [cs.LG]The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
    Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan
    http://arxiv.org/abs/1907.07157v1

    • [cs.LG]Topology Based Scalable Graph Kernels
    Kin Sum Liu, Chien-Chun Ni, Yu-Yao Lin, Jie Gao
    http://arxiv.org/abs/1907.07129v1

    • [cs.MA]Broadcast Distributed Voting Algorithm in Population Protocols
    Hamidreza Bandealinaeini, Saber Salehkaleybar
    http://arxiv.org/abs/1907.06855v1

    • [cs.NE]Modeling User Selection in Quality Diversity
    Alexander Hagg, Alexander Asteroth, Thomas Bäck
    http://arxiv.org/abs/1907.06912v1

    • [cs.NE]Prediction of neural network performance by phenotypic modeling
    Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
    http://arxiv.org/abs/1907.07075v1

    • [cs.RO]A Quadrotor with an Origami-Inspired Protective Mechanism
    Jing Shu, Pakpong Chirarattananon
    http://arxiv.org/abs/1907.07056v1

    • [cs.RO]Adaptive Prior Selection for Repertoire-based Online Learning in Robotics
    Rituraj Kaushik, Pierre Desreumaux, Jean-Baptiste Mouret
    http://arxiv.org/abs/1907.07029v1

    • [cs.RO]Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation
    Xiaowei Xing, Dong Eui Chang
    http://arxiv.org/abs/1907.06884v1

    • [cs.RO]Mutual Reinforcement Learning
    Sayanti Roy, Emily Kieson, Charles Abramson, Christopher Crick
    http://arxiv.org/abs/1907.06725v1

    • [cs.RO]Sampling-based Motion Planning via Control Barrier Functions
    Guang Yang, Bee Vang, Zachary Serlin, Calin Belta, Roberto Tron
    http://arxiv.org/abs/1907.06722v1

    • [cs.SD]The Bach Doodle: Approachable music composition with machine learning at scale
    Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft
    http://arxiv.org/abs/1907.06637v1

    • [cs.SI]Homophily as a process generating social networks: insights from Social Distance Attachment model
    Szymon Talaga, Andrzej Nowak
    http://arxiv.org/abs/1907.07055v1

    • [cs.SI]Hubs and authorities of the scientific migration network
    Alessandra Urbinati, Edoardo Galimberti, Giancarlo Ruffo
    http://arxiv.org/abs/1907.07175v1

    • [econ.EM]Information processing constraints in travel behaviour modelling: A generative learning approach
    Melvin Wong, Bilal Farooq
    http://arxiv.org/abs/1907.07036v1

    • [econ.TH]Unforeseen Evidence
    Evan Piermont
    http://arxiv.org/abs/1907.07019v1

    • [eess.AS]Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling
    Hangting Chen, Zuozhen Liu, Zongming Liu, Pengyuan Zhang, Yonghong Yan
    http://arxiv.org/abs/1907.06639v1

    • [eess.IV]AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
    Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
    http://arxiv.org/abs/1907.06852v1

    • [eess.IV]Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation
    Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
    http://arxiv.org/abs/1907.07077v1

    • [eess.IV]Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning
    Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi
    http://arxiv.org/abs/1907.07131v1

    • [eess.IV]CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
    Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
    http://arxiv.org/abs/1907.07008v1

    • [eess.IV]Deep learning-based color holographic microscopy
    Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan
    http://arxiv.org/abs/1907.06727v1

    • [eess.IV]X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
    Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
    http://arxiv.org/abs/1907.07000v1

    • [eess.SP]Machine learning without a feature set for detecting bursts in the EEG of preterm infants
    John M. O’Toole, Geraldine B. Boylan
    http://arxiv.org/abs/1907.06943v1

    • [eess.SY]A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
    Shihao Ge, Haruna Isah, Farhana Zulkernine, Shahzad Khan
    http://arxiv.org/abs/1907.06690v1

    • [math.LO]Abstract categorial grammars with island constraints and effective decidability
    Sergey Slavnov
    http://arxiv.org/abs/1907.06950v1

    • [math.PR]Stochastic Evolution of spatial populations: From configurations to genealogies and back
    Andreas Greven
    http://arxiv.org/abs/1907.06965v1

    • [math.ST]On the $L_p$-error of the Grenander-type estimator in the Cox model
    Cécile Durot, Eni Musta
    http://arxiv.org/abs/1907.06933v1

    • [math.ST]Variable selection in sparse high-dimensional GLARMA models
    Céline Lévy-Leduc, Sarah Ouadah, Laure Sansonnet
    http://arxiv.org/abs/1907.07085v1

    • [physics.soc-ph]Data-driven strategies for optimal bicycle network growth
    Luis Natera, Federico Battiston, Gerardo Iñiguez, Michael Szell
    http://arxiv.org/abs/1907.07080v1

    • [q-fin.MF]Quant GANs: Deep Generation of Financial Time Series
    Magnus Wiese, Robert Knobloch, Ralf Korn, Peter Kretschmer
    http://arxiv.org/abs/1907.06673v1

    • [quant-ph]Quantum Data Fitting Algorithm for Non-sparse Matrices
    Guangxi Li, Youle Wang, Yu Luo, Yuan Feng
    http://arxiv.org/abs/1907.06949v1

    • [stat.AP]Improving Bayesian Local Spatial Models in Large Data Sets
    Amanda Lenzi, Stefano Castruccio, Haavard Rue, Marc G. Genton
    http://arxiv.org/abs/1907.06932v1

    • [stat.AP]Outliers in meta-analysis: an asymmetric trimmed-mean approach
    Rose Baker
    http://arxiv.org/abs/1907.07015v1

    • [stat.CO]Stochastic gradient Markov chain Monte Carlo
    Christopher Nemeth, Paul Fearnhead
    http://arxiv.org/abs/1907.06986v1

    • [stat.ME]Alternating Dynamic Programming for Multiple Epidemic Change-Point Estimation
    Zifeng Zhao, Chun Yip Yau
    http://arxiv.org/abs/1907.06810v1

    • [stat.ME]Defining mediation effects for multiple mediators using the concept of the target randomized trial
    Margarita Moreno-Betancur, Paul Moran, Denise Becker, George Patton, John B Carlin
    http://arxiv.org/abs/1907.06734v1

    • [stat.ME]Detecting anomalies in fibre systems using 3-dimensional image data
    Denis Dresvyanskiy, Tatiana Karaseva, Vitalii Makogin, Sergei Mitrofanov, Claudia Redenbach, Evgeny Spodarev
    http://arxiv.org/abs/1907.06988v1

    • [stat.ME]Elastic depths for detecting shape anomalies in functional data
    Trevor Harris, James Derek Tucker, Bo Li, Lyndsay Shand
    http://arxiv.org/abs/1907.06759v1

    • [stat.ME]Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models
    Bao Tuyen Huynh, Faicel Chamroukhi
    http://arxiv.org/abs/1907.06994v1

    • [stat.ME]Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
    Siyu Heng, Hyunseung Kang, Dylan S. Small, Colin B. Fogarty
    http://arxiv.org/abs/1907.06770v1

    • [stat.ME]Quantifying replicability and consistency in systematic reviews
    Iman Jaljuli, Yoav Benjamini, Liat Shenhav, Orestis Panagiotou, Ruth Heller
    http://arxiv.org/abs/1907.06856v1

    • [stat.ML]A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
    Martin Slawski, Emanuel Ben-David, Ping Li
    http://arxiv.org/abs/1907.07148v1

    • [stat.ML]The continuous Bernoulli: fixing a pervasive error in variational autoencoders
    Gabriel Loaiza-Ganem, John P. Cunningham
    http://arxiv.org/abs/1907.06845v1