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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.HO - 历史与概述 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving
    • [cs.CL]A Finnish News Corpus for Named Entity Recognition
    • [cs.CL]A Generate-Validate Approach to Answering Questions about Qualitative Relationships
    • [cs.CL]Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
    • [cs.CL]Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
    • [cs.CL]On the Validity of Self-Attention as Explanation in Transformer Models
    • [cs.CL]Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription
    • [cs.CR]Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
    • [cs.CR]Douglas-Quaid — Open Source Image Matching Library
    • [cs.CR]Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data
    • [cs.CV]ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
    • [cs.CV]An overlapping-free leaf segmentation method for plant point clouds
    • [cs.CV]Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
    • [cs.CV]AutoGAN: Neural Architecture Search for Generative Adversarial Networks
    • [cs.CV]Bayesian Loss for Crowd Count Estimation with Point Supervision
    • [cs.CV]Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification
    • [cs.CV]Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
    • [cs.CV]DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
    • [cs.CV]Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
    • [cs.CV]Domain-Specific Embedding Network for Zero-Shot Recognition
    • [cs.CV]Dynamic Region Division for Adaptive Learning Pedestrian Counting
    • [cs.CV]Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)
    • [cs.CV]Enhanced 3D convolutional networks for crowd counting
    • [cs.CV]Explicit Shape Encoding for Real-Time Instance Segmentation
    • [cs.CV]Exploiting temporal consistency for real-time video depth estimation
    • [cs.CV]GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
    • [cs.CV]HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
    • [cs.CV]IoU Loss for 2D/3D Object Detection
    • [cs.CV]Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras
    • [cs.CV]Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing
    • [cs.CV]LIP: Local Importance-based Pooling
    • [cs.CV]Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
    • [cs.CV]Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
    • [cs.CV]MobileFAN: Transferring Deep Hidden Representation for Face Alignment
    • [cs.CV]Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
    • [cs.CV]Multimodal Unified Attention Networks for Vision-and-Language Interactions
    • [cs.CV]Object-Aware Instance Labeling for Weakly Supervised Object Detection
    • [cs.CV]Recent Advances in Deep Learning for Object Detection
    • [cs.CV]Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
    • [cs.CV]SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
    • [cs.CV]Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
    • [cs.CV]Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
    • [cs.CV]Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
    • [cs.CV]Sentence Specified Dynamic Video Thumbnail Generation
    • [cs.CV]StructureFlow: Image Inpainting via Structure-aware Appearance Flow
    • [cs.CV]Temporal Knowledge Propagation for Image-to-Video Person Re-identification
    • [cs.CV]To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
    • [cs.CV]Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
    • [cs.CV]UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
    • [cs.CV]Unconstrained Foreground Object Search
    • [cs.CV]User independent Emotion Recognition with Residual Signal-Image Network
    • [cs.CV]Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
    • [cs.CY]BISTRO: Berkeley Integrated System for Transportation Optimization
    • [cs.CY]Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country
    • [cs.DC]An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
    • [cs.DC]Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
    • [cs.DC]Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
    • [cs.DS]Shared-Memory Branch-and-Reduce for Multiterminal Cuts
    • [cs.IR]An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation
    • [cs.IR]Assessing the Quality of Scientific Papers
    • [cs.IR]Automatic Fashion Knowledge Extraction from Social Media
    • [cs.IR]Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
    • [cs.IR]Exploring the Effect of an Item’s Neighborhood on its Sellability in eCommerce
    • [cs.IR]Personalized Music Recommendation with Triplet Network
    • [cs.IR]TEQUILA: Temporal Question Answering over Knowledge Bases
    • [cs.IR]Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
    • [cs.IT]3-D Positioning and Environment Mapping for mmWave Communication Systems
    • [cs.IT]A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code
    • [cs.IT]A theory of incremental compression
    • [cs.IT]BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects
    • [cs.IT]Coded trace reconstruction in a constant number of traces
    • [cs.IT]Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
    • [cs.IT]New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks
    • [cs.IT]On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
    • [cs.IT]Optimizations with Reconfigurable Intelligent Surfaces (RISs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple RISs
    • [cs.IT]Physical Layer Secret Key Generation in Static Environments
    • [cs.IT]Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming
    • [cs.IT]Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
    • [cs.IT]Secure Coded Multi-Party Computation for Massive Matrix Operations
    • [cs.LG]A Critical Note on the Evaluation of Clustering Algorithms
    • [cs.LG]A Review of Cooperative Multi-Agent Deep Reinforcement Learning
    • [cs.LG]A Study on Angular Based Embedding Learning for Text-independent Speaker Verification
    • [cs.LG]Automatic Model Monitoring for Data Streams
    • [cs.LG]Behaviour Suite for Reinforcement Learning
    • [cs.LG]Data-Driven Randomized Learning of Feedforward Neural Networks
    • [cs.LG]Deep Structured Cross-Modal Anomaly Detection
    • [cs.LG]DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
    • [cs.LG]Experience Reuse with Probabilistic Movement Primitives
    • [cs.LG]Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
    • [cs.LG]Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
    • [cs.LG]Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
    • [cs.LG]LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations
    • [cs.LG]Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension
    • [cs.LG]Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
    • [cs.LG]RWR-GAE: Random Walk Regularization for Graph Auto Encoders
    • [cs.LG]SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
    • [cs.LG]Supervised Negative Binomial Classifier for Probabilistic Record Linkage
    • [cs.LG]TAPER: Time-Aware Patient EHR Representation
    • [cs.LG]That which we call private
    • [cs.LG]Unsupervised Neural Quantization for Compressed-Domain Similarity Search
    • [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
    • [cs.LO]Introduction to the 35th International Conference on Logic Programming Special Issue
    • [cs.MM]Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
    • [cs.MM]Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
    • [cs.MM]Exploiting Temporal Relationships in Video Moment Localization with Natural Language
    • [cs.NE]One-time learning and reverse salience signal with a salience affected neural network (SANN)
    • [cs.RO]Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin
    • [cs.RO]Enabling Commercial Autonomous Space Robotic Explorers
    • [cs.RO]Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
    • [cs.RO]Learning to Explore in Motion and Interaction Tasks
    • [cs.RO]Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators
    • [cs.RO]View management for lifelong visual maps
    • [cs.RO]Vision-based Navigation Using Deep Reinforcement Learning
    • [cs.SE]Exploring the relations between net benefits of IT projects and CIOs’ perception of quality of software development disciplines
    • [cs.SI]Deep Kernel Supervised Hashing for Network Embedding
    • [cs.SI]Edge Correlations in Multilayer Networks
    • [cs.SI]Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
    • [cs.SI]Modeling Graphs with Vertex Replacement Grammars
    • [cs.SI]Tensor Factorization with Label Information for Fake News Detection
    • [cs.SI]The Impact of Informal Mentorship in Academic Collaborations
    • [econ.EM]Maximum Approximated Likelihood Estimation
    • [eess.AS]Personal VAD: Speaker-Conditioned Voice Activity Detection
    • [eess.IV]Automated Brain Tumour Segmentation Using Deep Fully Convolutional Residual Networks
    • [eess.IV]Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets
    • [eess.IV]Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
    • [eess.IV]Decision Trees for Complexity Reduction in Video Compression
    • [eess.IV]Deep Tone Mapping Operator for High Dynamic Range Images
    • [eess.IV]Distance Map Loss Penalty Term for Semantic Segmentation
    • [eess.IV]Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
    • [eess.IV]Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
    • [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
    • [eess.IV]Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
    • [eess.IV]Semi-Supervised Multi-Task Learning With Chest X-Ray Images
    • [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
    • [eess.SP]Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance
    • [eess.SP]Successive Projection Algorithm Robust to Outliers
    • [math.HO]Moments of Maximum: Segment of AR(1)
    • [math.NA]An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
    • [math.PR]Almost Surely Asymptotic Freeness for Jacobian Spectrum of Deep Network
    • [math.PR]High-frequency analysis of parabolic stochastic PDEs with multiplicative noise: Part I
    • [math.ST]Component-based regularisation of multivariate generalised linear mixed models
    • [math.ST]Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs
    • [math.ST]Measure Dependent Asymptotic Rate of the Mean: Geometrical and Topological Smeariness
    • [math.ST]Prediction in regression models with continuous observations
    • [physics.comp-ph]A review on Deep Reinforcement Learning for Fluid Mechanics
    • [physics.comp-ph]Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism
    • [physics.soc-ph]Classical Information Theory of Networks
    • [q-bio.GN]Transcriptional Response of SK-N-AS Cells to Methamidophos
    • [q-bio.PE]Estimation of the excess mortality in chronic diseases from prevalence and incidence data
    • [stat.AP]Quantifying Time-Varying Sources in Magnetoencephalography — A Discrete Approach
    • [stat.ME]A Survey of Tuning Parameter Selection for High-dimensional Regression
    • [stat.ME]A new Granger causality measure for eliminating the confounding influence of latent common inputs
    • [stat.ME]Analysis of regression discontinuity designs using censored data
    • [stat.ME]Bayesian Inference for Latent Chain Graphs
    • [stat.ME]Blending of Probability and Non-Probability Samples: Applications to a Survey of Military Caregivers
    • [stat.ME]Detecting Heterogeneous Treatment Effect with Instrumental Variables
    • [stat.ME]Estimation of the Number of Components of Non-Parametric Multivariate Finite Mixture Models
    • [stat.ME]Finite Sample Hypothesis Tests for Stacked Estimating Equations
    • [stat.ME]Goodness-of-fit testing in high-dimensional generalized linear models
    • [stat.ME]Hypothesis Testing for Network Data with Power Enhancement
    • [stat.ME]Life After Bootstrap: Residual Randomization Inference in Regression Models
    • [stat.ME]Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
    • [stat.ME]Separable nonlinear least-squares parameter estimation for complex dynamic systems
    • [stat.ML]Anomaly Detection in High Dimensional Data
    • [stat.ML]Estimation of Spectral Clustering Hyper Parameters
    • [stat.ML]Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures

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

    • [cs.AI]Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving
    Sisi Li, Nan Li, Anouck Girard, Ilya Kolmanovsky
    http://arxiv.org/abs/1908.04005v1

    • [cs.CL]A Finnish News Corpus for Named Entity Recognition
    Teemu Ruokolainen, Pekka Kauppinen, Miikka Silfverberg, Krister Lindén
    http://arxiv.org/abs/1908.04212v1

    • [cs.CL]A Generate-Validate Approach to Answering Questions about Qualitative Relationships
    Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava
    http://arxiv.org/abs/1908.03645v1

    • [cs.CL]Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
    Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio, Giuseppe Riccardi
    http://arxiv.org/abs/1908.04092v1

    • [cs.CL]Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
    Frank Meng, Craig A. Morioka, Danne C. Elbers
    http://arxiv.org/abs/1908.03594v1

    • [cs.CL]On the Validity of Self-Attention as Explanation in Transformer Models
    Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer
    http://arxiv.org/abs/1908.04211v1

    • [cs.CL]Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription
    Mythili Sharan Pala, Parayitam Laxminarayana, A. V. Ramana
    http://arxiv.org/abs/1908.03734v1

    • [cs.CR]Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
    Lukas Halgas, Ioannis Agrafiotis, Jason R. C. Nurse
    http://arxiv.org/abs/1908.03640v1

    • [cs.CR]Douglas-Quaid — Open Source Image Matching Library
    Vincent Falconieri
    http://arxiv.org/abs/1908.04014v1

    • [cs.CR]Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data
    Sahan Ahmad, SM Zobaed, Raju Gottumukkala, Mohsen Amini Salehi
    http://arxiv.org/abs/1908.03668v1

    • [cs.CV]ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
    Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han
    http://arxiv.org/abs/1908.03930v1

    • [cs.CV]An overlapping-free leaf segmentation method for plant point clouds
    Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan
    http://arxiv.org/abs/1908.04018v1

    • [cs.CV]Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
    Safa Alver, Ugur Halici
    http://arxiv.org/abs/1908.03812v1

    • [cs.CV]AutoGAN: Neural Architecture Search for Generative Adversarial Networks
    Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
    http://arxiv.org/abs/1908.03835v1

    • [cs.CV]Bayesian Loss for Crowd Count Estimation with Point Supervision
    Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong
    http://arxiv.org/abs/1908.03684v1

    • [cs.CV]Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification
    Changhong Fu, Ziyuan Huang, Yiming Li, Ran Duan, Peng Lu
    http://arxiv.org/abs/1908.03701v1

    • [cs.CV]Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
    Jonathan Howe, Kyle Pula, Aaron A. Reite
    http://arxiv.org/abs/1908.03809v1

    • [cs.CV]DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
    Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
    http://arxiv.org/abs/1908.03826v1

    • [cs.CV]Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
    Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
    http://arxiv.org/abs/1908.03856v1

    • [cs.CV]Domain-Specific Embedding Network for Zero-Shot Recognition
    Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang
    http://arxiv.org/abs/1908.04174v1

    • [cs.CV]Dynamic Region Division for Adaptive Learning Pedestrian Counting
    Gaoqi He, Zhenwei Ma, Binhao Huang, Bin Sheng, Yubo Yuan
    http://arxiv.org/abs/1908.03978v1

    • [cs.CV]Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)
    Vanderson M. do Rosario, Mauricio Breternitz Jr., Edson Borin
    http://arxiv.org/abs/1908.03935v1

    • [cs.CV]Enhanced 3D convolutional networks for crowd counting
    Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou
    http://arxiv.org/abs/1908.04121v1

    • [cs.CV]Explicit Shape Encoding for Real-Time Instance Segmentation
    Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu
    http://arxiv.org/abs/1908.04067v1

    • [cs.CV]Exploiting temporal consistency for real-time video depth estimation
    Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan
    http://arxiv.org/abs/1908.03706v1

    • [cs.CV]GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
    Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu
    http://arxiv.org/abs/1908.03919v1

    • [cs.CV]HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
    Duo Li, Aojun Zhou, Anbang Yao
    http://arxiv.org/abs/1908.03888v1

    • [cs.CV]IoU Loss for 2D/3D Object Detection
    Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang
    http://arxiv.org/abs/1908.03851v1

    • [cs.CV]Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras
    Joakim Bruslund Haurum, Chris H. Bahnsen, Thomas B. Moeslund
    http://arxiv.org/abs/1908.04034v1

    • [cs.CV]Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing
    Roberto Annunziata, Christos Sagonas, Jacques Cali
    http://arxiv.org/abs/1908.04130v1

    • [cs.CV]LIP: Local Importance-based Pooling
    Ziteng Gao, Limin Wang, Gangshan Wu
    http://arxiv.org/abs/1908.04156v1

    • [cs.CV]Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
    Mojtaba S. Fazli, Rachel V. Stadler, BahaaEddin Alaila, Stephen A. Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn
    http://arxiv.org/abs/1908.03775v1

    • [cs.CV]Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
    Tan Wang, Xing Xu, Yang Yang, Alan Hanjalic, Heng Tao Shen, Jingkuan Song
    http://arxiv.org/abs/1908.04011v1

    • [cs.CV]MobileFAN: Transferring Deep Hidden Representation for Face Alignment
    Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong
    http://arxiv.org/abs/1908.03839v1

    • [cs.CV]Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
    Kun Cheng, Hao-Zhi Huang, Chun Yuan, Lingyiqing Zhou, Wei Liu
    http://arxiv.org/abs/1908.04013v1

    • [cs.CV]Multimodal Unified Attention Networks for Vision-and-Language Interactions
    Zhou Yu, Yuhao Cui, Jun Yu, Dacheng Tao, Qi Tian
    http://arxiv.org/abs/1908.04107v1

    • [cs.CV]Object-Aware Instance Labeling for Weakly Supervised Object Detection
    Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa
    http://arxiv.org/abs/1908.03792v1

    • [cs.CV]Recent Advances in Deep Learning for Object Detection
    Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
    http://arxiv.org/abs/1908.03673v1

    • [cs.CV]Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
    Nathanael L. Baisa
    http://arxiv.org/abs/1908.03945v1

    • [cs.CV]SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
    Junyu Gao, Qi Wang, Yuan Yuan
    http://arxiv.org/abs/1908.03716v1

    • [cs.CV]Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
    Oliver Mothes, Joachim Denzler
    http://arxiv.org/abs/1908.04027v1

    • [cs.CV]Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
    Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai
    http://arxiv.org/abs/1908.03850v1

    • [cs.CV]Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
    Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin
    http://arxiv.org/abs/1908.04051v1

    • [cs.CV]Sentence Specified Dynamic Video Thumbnail Generation
    Yiitan Yuan, Lin Ma, Wenwu Zhu
    http://arxiv.org/abs/1908.04052v1

    • [cs.CV]StructureFlow: Image Inpainting via Structure-aware Appearance Flow
    Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li
    http://arxiv.org/abs/1908.03852v1

    • [cs.CV]Temporal Knowledge Propagation for Image-to-Video Person Re-identification
    Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1908.03885v1

    • [cs.CV]To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
    Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E Boult, Maneesh Singh
    http://arxiv.org/abs/1908.03864v1

    • [cs.CV]Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
    Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer
    http://arxiv.org/abs/1908.04186v1

    • [cs.CV]UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
    Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu
    http://arxiv.org/abs/1908.03884v1

    • [cs.CV]Unconstrained Foreground Object Search
    Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari
    http://arxiv.org/abs/1908.03675v1

    • [cs.CV]User independent Emotion Recognition with Residual Signal-Image Network
    Guanghao Yin, Shouqian Sun, Hui Zhang, Dian Yu, Chao Li, Kejun Zhang, Ning Zou
    http://arxiv.org/abs/1908.03692v1

    • [cs.CV]Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
    YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
    http://arxiv.org/abs/1908.04015v1

    • [cs.CY]BISTRO: Berkeley Integrated System for Transportation Optimization
    Sidney A. Feygin, Jessica R. Lazarus, Edward H. Forscher, Valentine Golfier-Vetterli, Jonathan W. Lee, Abhishek Gupta, Rashid A. Waraich, Colin J. R. Sheppard, Alexandre M. Bayen
    http://arxiv.org/abs/1908.03821v1

    • [cs.CY]Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country
    Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze
    http://arxiv.org/abs/1908.04237v1

    • [cs.DC]An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
    Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, Steven Swanson
    http://arxiv.org/abs/1908.03583v1

    • [cs.DC]Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
    Murthy Durbhakula
    http://arxiv.org/abs/1908.04249v1

    • [cs.DC]Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
    Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler
    http://arxiv.org/abs/1908.04207v1

    • [cs.DS]Shared-Memory Branch-and-Reduce for Multiterminal Cuts
    Monika Henzinger, Alexander Noe, Christian Schulz
    http://arxiv.org/abs/1908.04141v1

    • [cs.IR]An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation
    Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie, Jian Tang
    http://arxiv.org/abs/1908.04032v1

    • [cs.IR]Assessing the Quality of Scientific Papers
    Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
    http://arxiv.org/abs/1908.04200v1

    • [cs.IR]Automatic Fashion Knowledge Extraction from Social Media
    Yunshan Ma, Lizi Liao, Tat-Seng Chua
    http://arxiv.org/abs/1908.04045v1

    • [cs.IR]Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
    Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie Lindstaedt, Elisabeth Lex
    http://arxiv.org/abs/1908.04042v1

    • [cs.IR]Exploring the Effect of an Item’s Neighborhood on its Sellability in eCommerce
    Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan
    http://arxiv.org/abs/1908.03825v1

    • [cs.IR]Personalized Music Recommendation with Triplet Network
    Haoting Liang, Donghuo Zeng, Yi Yu, Keizo Oyama
    http://arxiv.org/abs/1908.03738v1

    • [cs.IR]TEQUILA: Temporal Question Answering over Knowledge Bases
    Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Stroetgen, Gerhard Weikum
    http://arxiv.org/abs/1908.03650v1

    • [cs.IR]Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
    Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Stefanie Lindstaedt, Roman Kern, Elisabeth Lex
    http://arxiv.org/abs/1908.04017v1

    • [cs.IT]3-D Positioning and Environment Mapping for mmWave Communication Systems
    Jie Yang, Shi Jin, Chao-Kai Wen, Jiajia Guo, Michail Matthaiou
    http://arxiv.org/abs/1908.04142v1

    • [cs.IT]A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code
    Neri Merhav
    http://arxiv.org/abs/1908.04024v1

    • [cs.IT]A theory of incremental compression
    Arthur Franz, Oleksandr Antonenko, Roman Soletskyi
    http://arxiv.org/abs/1908.03781v1

    • [cs.IT]BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects
    Haide Wang, Ji Zhou, Weiping Liu, Jianping Li, Xincheng Huang, Long Liu, Weixian Liang, Changyuan Yu, Fan Li, Zhaohui Li
    http://arxiv.org/abs/1908.04116v1

    • [cs.IT]Coded trace reconstruction in a constant number of traces
    Joshua Brakensiek, Ray Li, Bruce Spang
    http://arxiv.org/abs/1908.03996v1

    • [cs.IT]Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
    Eleftherios Lampiris, Jingjing Zhang, Osvaldo Simeone, Petros Elia
    http://arxiv.org/abs/1908.04036v1

    • [cs.IT]New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks
    Hao Chen, Xianmang He, Jian Weng, Liqing Xu
    http://arxiv.org/abs/1908.03804v1

    • [cs.IT]On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
    Alireza Sheikh, Alexandre Graell i Ama, Alex Alvarado
    http://arxiv.org/abs/1908.04205v1

    • [cs.IT]Optimizations with Reconfigurable Intelligent Surfaces (RISs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple RISs
    Jun Zhao
    http://arxiv.org/abs/1908.03965v1

    • [cs.IT]Physical Layer Secret Key Generation in Static Environments
    Nasser Aldaghri, Hessam Mahdavifar
    http://arxiv.org/abs/1908.03637v1

    • [cs.IT]Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming
    Sixian Li, Bin Duo, Xiaojun Yuan, Senior Member, IEEE, Ying-Chang Liang, Fellow, IEEE, Marco Di Renzo, Senior Member, IEEE
    http://arxiv.org/abs/1908.04082v1

    • [cs.IT]Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
    Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu
    http://arxiv.org/abs/1908.03984v1

    • [cs.IT]Secure Coded Multi-Party Computation for Massive Matrix Operations
    Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali
    http://arxiv.org/abs/1908.04255v1

    • [cs.LG]A Critical Note on the Evaluation of Clustering Algorithms
    Li Zhong, Tiantian Zhang, Bo Yuan
    http://arxiv.org/abs/1908.03782v1

    • [cs.LG]A Review of Cooperative Multi-Agent Deep Reinforcement Learning
    Afshin OroojlooyJadid, Davood Hajinezhad
    http://arxiv.org/abs/1908.03963v1

    • [cs.LG]A Study on Angular Based Embedding Learning for Text-independent Speaker Verification
    Zhiyong Chen, Zongze Ren, Shugong Xu
    http://arxiv.org/abs/1908.03990v1

    • [cs.LG]Automatic Model Monitoring for Data Streams
    Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro
    http://arxiv.org/abs/1908.04240v1

    • [cs.LG]Behaviour Suite for Reinforcement Learning
    Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepezvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, Hado Van Hasselt
    http://arxiv.org/abs/1908.03568v1

    • [cs.LG]Data-Driven Randomized Learning of Feedforward Neural Networks
    Grzegorz Dudek
    http://arxiv.org/abs/1908.03891v1

    • [cs.LG]Deep Structured Cross-Modal Anomaly Detection
    Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
    http://arxiv.org/abs/1908.03848v1

    • [cs.LG]DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
    Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/1908.03918v1

    • [cs.LG]Experience Reuse with Probabilistic Movement Primitives
    Svenja Stark, Jan Peters, Elmar Rueckert
    http://arxiv.org/abs/1908.03936v1

    • [cs.LG]Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
    Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
    http://arxiv.org/abs/1908.04008v1

    • [cs.LG]Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
    Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai
    http://arxiv.org/abs/1908.03761v1

    • [cs.LG]Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
    Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
    http://arxiv.org/abs/1908.03932v1

    • [cs.LG]LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations
    Dilini Rajapaksha, Christoph Bergmeir, Wray Buntine
    http://arxiv.org/abs/1908.03840v1

    • [cs.LG]Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension
    Ye Xue, Diego Klabjan, Yuan Luo
    http://arxiv.org/abs/1908.04209v1

    • [cs.LG]Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
    Yang Liu, Lixin Ji, Chao Gao, Jianpeng Zhang, Jinghua Qu
    http://arxiv.org/abs/1908.03682v1

    • [cs.LG]RWR-GAE: Random Walk Regularization for Graph Auto Encoders
    Vaibhav, Po-Yao Huang, Robert Frederking
    http://arxiv.org/abs/1908.04003v1

    • [cs.LG]SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
    Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
    http://arxiv.org/abs/1908.03849v1

    • [cs.LG]Supervised Negative Binomial Classifier for Probabilistic Record Linkage
    Harish Kashyap K, Kiran Byadarhaly, Saumya Shah
    http://arxiv.org/abs/1908.03830v1

    • [cs.LG]TAPER: Time-Aware Patient EHR Representation
    Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
    http://arxiv.org/abs/1908.03971v1

    • [cs.LG]That which we call private
    Úlfar Erlingsson, Ilya Mironov, Ananth Raghunathan, Shuang Song
    http://arxiv.org/abs/1908.03566v1

    • [cs.LG]Unsupervised Neural Quantization for Compressed-Domain Similarity Search
    Stanislav Morozov, Artem Babenko
    http://arxiv.org/abs/1908.03883v1

    • [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
    Chuanxing Geng, Lue Tao, Songcan Chen
    http://arxiv.org/abs/1908.03983v1

    • [cs.LO]Introduction to the 35th International Conference on Logic Programming Special Issue
    Esra Erdem, Andrea Formisano, German Vidal, Fangkai Yang
    http://arxiv.org/abs/1908.03719v1

    • [cs.MM]Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
    Donghuo Zeng, Yi Yu, Keizo Oyama
    http://arxiv.org/abs/1908.03744v1

    • [cs.MM]Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
    Donghuo Zeng, Yi Yu, Keizo Oyama
    http://arxiv.org/abs/1908.03737v1

    • [cs.MM]Exploiting Temporal Relationships in Video Moment Localization with Natural Language
    Songyang Zhang, Jinsong Su, Jiebo Luo
    http://arxiv.org/abs/1908.03846v1

    • [cs.NE]One-time learning and reverse salience signal with a salience affected neural network (SANN)
    Leendert A Remmelzwaal, George F R Ellis, Jonathan Tapson
    http://arxiv.org/abs/1908.03532v2

    • [cs.RO]Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin
    Zhanat Kappassov, Daulet Baimukashev, Zharaskhan Kuanyshuly, Yerzhan Massalin, Arshat Urazbayev, Huseyin Atakan Varol
    http://arxiv.org/abs/1908.03687v1

    • [cs.RO]Enabling Commercial Autonomous Space Robotic Explorers
    Thomas Yuang Li, Shaoshan Liu
    http://arxiv.org/abs/1908.04149v1

    • [cs.RO]Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
    Yuan Gao, Elena Sibirtseva, Ginevra Castellano, Danica Kragic
    http://arxiv.org/abs/1908.04087v1

    • [cs.RO]Learning to Explore in Motion and Interaction Tasks
    Miroslav Bogdanovic, Ludovic Righetti
    http://arxiv.org/abs/1908.03731v1

    • [cs.RO]Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators
    Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
    http://arxiv.org/abs/1908.03790v1

    • [cs.RO]View management for lifelong visual maps
    Nandan Banerjee, Ryan C. Connolly, Dimitri Lisin, Jimmy Briggs, Manjunath Narayana, Mario E. Munich
    http://arxiv.org/abs/1908.03605v1

    • [cs.RO]Vision-based Navigation Using Deep Reinforcement Learning
    Jonáš Kulhánek, Erik Derner, Tim de Bruin, Robert Babuška
    http://arxiv.org/abs/1908.03627v1

    • [cs.SE]Exploring the relations between net benefits of IT projects and CIOs’ perception of quality of software development disciplines
    Damjan Vavpotič, Marko Robnik-Šikonja, Tomaž Hovelja
    http://arxiv.org/abs/1908.04070v1

    • [cs.SI]Deep Kernel Supervised Hashing for Network Embedding
    Jia-Nan Guo, Xian-Ling Mao, Xiao-Jian Jiang, Ying-Xiang Sun, He-Yan Huang
    http://arxiv.org/abs/1908.04007v1

    • [cs.SI]Edge Correlations in Multilayer Networks
    A. Roxana Pamfil, Sam D. Howison, Mason A. Porter
    http://arxiv.org/abs/1908.03875v1

    • [cs.SI]Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
    Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty
    http://arxiv.org/abs/1908.03770v1

    • [cs.SI]Modeling Graphs with Vertex Replacement Grammars
    Satyaki Sikdar, Justus Hibshman, Tim Weninger
    http://arxiv.org/abs/1908.03837v1

    • [cs.SI]Tensor Factorization with Label Information for Fake News Detection
    Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras
    http://arxiv.org/abs/1908.03957v1

    • [cs.SI]The Impact of Informal Mentorship in Academic Collaborations
    Bedoor AlShebli, Kinga Makovi, Talal Rahwan
    http://arxiv.org/abs/1908.03813v1

    • [econ.EM]Maximum Approximated Likelihood Estimation
    Michael Griebel, Florian Heiss, Jens Oettershagen, Constantin Weiser
    http://arxiv.org/abs/1908.04110v1

    • [eess.AS]Personal VAD: Speaker-Conditioned Voice Activity Detection
    Shaojin Ding, Quan Wang, Shuo-yiin Chang, Li Wan, Ignacio Lopez Moreno
    http://arxiv.org/abs/1908.04284v1

    • [eess.IV]Automated Brain Tumour Segmentation Using Deep Fully Convolutional Residual Networks
    Indrajit Mazumdar
    http://arxiv.org/abs/1908.04250v1

    • [eess.IV]Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets
    Kundan Kumar, Debashisa Samal, Suraj
    http://arxiv.org/abs/1908.04123v1

    • [eess.IV]Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
    Bin Zhao, Hong Wu, Guohua Liu, Chen Cao, Song Jin, Zhiyang Liu, Shuxue Ding
    http://arxiv.org/abs/1908.03735v1

    • [eess.IV]Decision Trees for Complexity Reduction in Video Compression
    Natasha Westland, André Seixas Dias, Marta Mrak
    http://arxiv.org/abs/1908.04168v1

    • [eess.IV]Deep Tone Mapping Operator for High Dynamic Range Images
    Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frederic Dufaux, Nikos Komodakis, Aljosa Smolic
    http://arxiv.org/abs/1908.04197v1

    • [eess.IV]Distance Map Loss Penalty Term for Semantic Segmentation
    Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
    http://arxiv.org/abs/1908.03679v1

    • [eess.IV]Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
    Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang
    http://arxiv.org/abs/1908.03858v1

    • [eess.IV]Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
    Ping Lu, Yanyan Zhang, Jianxiong Chen, Yuan Xiao, George Zhao
    http://arxiv.org/abs/1908.03973v1

    • [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
    Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
    http://arxiv.org/abs/1908.04126v1

    • [eess.IV]Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
    Nils Gessert, Alexander Schlaefer
    http://arxiv.org/abs/1908.04181v1

    • [eess.IV]Semi-Supervised Multi-Task Learning With Chest X-Ray Images
    Abdullah-Al-Zubaer Imran, Demetri Terzopoulos
    http://arxiv.org/abs/1908.03693v1

    • [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
    Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
    http://arxiv.org/abs/1908.03958v1

    • [eess.SP]Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance
    Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1908.03678v1

    • [eess.SP]Successive Projection Algorithm Robust to Outliers
    Nicolas Gillis
    http://arxiv.org/abs/1908.04109v1

    • [math.HO]Moments of Maximum: Segment of AR(1)
    Steven Finch
    http://arxiv.org/abs/1908.04179v1

    • [math.NA]An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
    Erin C. Carson
    http://arxiv.org/abs/1908.04081v1

    • [math.PR]Almost Surely Asymptotic Freeness for Jacobian Spectrum of Deep Network
    Tomohiro Hayase
    http://arxiv.org/abs/1908.03901v1

    • [math.PR]High-frequency analysis of parabolic stochastic PDEs with multiplicative noise: Part I
    Carsten Chong
    http://arxiv.org/abs/1908.04145v1

    • [math.ST]Component-based regularisation of multivariate generalised linear mixed models
    Jocelyn Chauvet, Catherine Trottier, Xavier Bry
    http://arxiv.org/abs/1908.04020v1

    • [math.ST]Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs
    Yang Xiaowei, Song Shuang, Zhang Huiming
    http://arxiv.org/abs/1908.03676v1

    • [math.ST]Measure Dependent Asymptotic Rate of the Mean: Geometrical and Topological Smeariness
    Benjamin Eltzner
    http://arxiv.org/abs/1908.04233v1

    • [math.ST]Prediction in regression models with continuous observations
    Holger Dette, Andrey Pepelyshev, Anatoly Zhigljavsky
    http://arxiv.org/abs/1908.04106v1

    • [physics.comp-ph]A review on Deep Reinforcement Learning for Fluid Mechanics
    Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem
    http://arxiv.org/abs/1908.04127v1

    • [physics.comp-ph]Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism
    Steven Cook, Tamar Shinar
    http://arxiv.org/abs/1908.04279v1

    • [physics.soc-ph]Classical Information Theory of Networks
    Filippo Radicchi, Dmitri Krioukov, Harrison Hartle, Ginestra Bianconi
    http://arxiv.org/abs/1908.03811v1

    • [q-bio.GN]Transcriptional Response of SK-N-AS Cells to Methamidophos
    Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky
    http://arxiv.org/abs/1908.03841v1

    • [q-bio.PE]Estimation of the excess mortality in chronic diseases from prevalence and incidence data
    Ralph Brinks
    http://arxiv.org/abs/1908.04053v1

    • [stat.AP]Quantifying Time-Varying Sources in Magnetoencephalography — A Discrete Approach
    Zhigang Yao, Zengyan Fan, Masahito Hayashi, William F. Eddy
    http://arxiv.org/abs/1908.03926v1

    • [stat.ME]A Survey of Tuning Parameter Selection for High-dimensional Regression
    Yunan Wu, Lan Wang
    http://arxiv.org/abs/1908.03669v1

    • [stat.ME]A new Granger causality measure for eliminating the confounding influence of latent common inputs
    Takashi Arai
    http://arxiv.org/abs/1908.03867v1

    • [stat.ME]Analysis of regression discontinuity designs using censored data
    Youngjoo Cho, Chen Hu, Debashis Ghosh
    http://arxiv.org/abs/1908.03646v1

    • [stat.ME]Bayesian Inference for Latent Chain Graphs
    Deng Lu, Maria De Iorio, Ajay Jasra, Gary L. Rosner
    http://arxiv.org/abs/1908.04002v1

    • [stat.ME]Blending of Probability and Non-Probability Samples: Applications to a Survey of Military Caregivers
    Michael W. Robbins, Bonnie Ghosh-Dastidar, Rajeev Ramchand
    http://arxiv.org/abs/1908.04217v1

    • [stat.ME]Detecting Heterogeneous Treatment Effect with Instrumental Variables
    Michael Johnson, Jiongyi Cao, Hyunseung Kang
    http://arxiv.org/abs/1908.03652v1

    • [stat.ME]Estimation of the Number of Components of Non-Parametric Multivariate Finite Mixture Models
    Caleb Kwon, Eric Mbakop
    http://arxiv.org/abs/1908.03656v1

    • [stat.ME]Finite Sample Hypothesis Tests for Stacked Estimating Equations
    Eli S. Kravitz, Raymond J. Carroll, David Ruppert
    http://arxiv.org/abs/1908.03968v1

    • [stat.ME]Goodness-of-fit testing in high-dimensional generalized linear models
    Jana Janková, Rajen D. Shah, Peter Bühlmann, Richard J. Samworth
    http://arxiv.org/abs/1908.03606v1

    • [stat.ME]Hypothesis Testing for Network Data with Power Enhancement
    Yin Xia, Lexin Li
    http://arxiv.org/abs/1908.03836v1

    • [stat.ME]Life After Bootstrap: Residual Randomization Inference in Regression Models
    Panos Toulis
    http://arxiv.org/abs/1908.04218v1

    • [stat.ME]Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
    Eli S. Kravitz, Raymond J. Carroll, David Ruppert
    http://arxiv.org/abs/1908.03967v1

    • [stat.ME]Separable nonlinear least-squares parameter estimation for complex dynamic systems
    Itai Dattner, Shota Gugushvili, Harold Ship, Eberhard O. Voit
    http://arxiv.org/abs/1908.03717v1

    • [stat.ML]Anomaly Detection in High Dimensional Data
    Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles
    http://arxiv.org/abs/1908.04000v1

    • [stat.ML]Estimation of Spectral Clustering Hyper Parameters
    Sioan Zohar, Chun-Hong Yoon
    http://arxiv.org/abs/1908.03747v1

    • [stat.ML]Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
    Ronny Hug, Wolfgang Hübner, Michael Arens
    http://arxiv.org/abs/1908.04030v1