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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 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.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AC - 交换代数 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.NC - 神经元与认知 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]”Conservatives Overfit, Liberals Underfit”: The Social-Psychological Control of Affect and Uncertainty
    • [cs.AI]Completing and Debugging Ontologies: state of the art and challenges
    • [cs.AI]Measurable Counterfactual Local Explanations for Any Classifier
    • [cs.CL]A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
    • [cs.CL]Artificially Evolved Chunks for Morphosyntactic Analysis
    • [cs.CL]Challenging the Boundaries of Speech Recognition: The MALACH Corpus
    • [cs.CL]Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
    • [cs.CL]UdS Submission for the WMT 19 Automatic Post-Editing Task
    • [cs.CR]Multi-client Secure Encrypted Search Using Searching Adversarial Networks
    • [cs.CR]Tracking Temporal Evolution of Network Activity for Botnet Detection
    • [cs.CV]A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
    • [cs.CV]Convex hull algorithms based on some variational models
    • [cs.CV]Deep Density-aware Count Regressor
    • [cs.CV]Defending Against Adversarial Iris Examples Using Wavelet Decomposition
    • [cs.CV]Distinguishing Individual Red Pandas from Their Faces
    • [cs.CV]Dynamic Scale Inference by Entropy Minimization
    • [cs.CV]Efficient Inference of CNNs via Channel Pruning
    • [cs.CV]Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization
    • [cs.CV]Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
    • [cs.CV]From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
    • [cs.CV]GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
    • [cs.CV]Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval
    • [cs.CV]Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality
    • [cs.CV]LVIS: A Dataset for Large Vocabulary Instance Segmentation
    • [cs.CV]Moviescope: Large-scale Analysis of Movies using Multiple Modalities
    • [cs.CV]PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection
    • [cs.CV]Question-Agnostic Attention for Visual Question Answering
    • [cs.CV]Recognizing Part Attributes with Insufficient Data
    • [cs.CV]Relation-Aware Pyramid Network (RapNet) for temporal action proposal
    • [cs.CV]Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
    • [cs.CV]Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition
    • [cs.CV]Towards Generating Stylized Image Captions via Adversarial Training
    • [cs.CV]Transferable Representation Learning in Vision-and-Language Navigation
    • [cs.CV]Video Face Clustering with Unknown Number of Clusters
    • [cs.CV]VisualBERT: A Simple and Performant Baseline for Vision and Language
    • [cs.CV]Zero-shot Feature Selection via Exploiting Semantic Knowledge
    • [cs.CY]Decision Making with Argumentation Graphs
    • [cs.DB]Managing the Complexity of Processing Financial Data at Scale — an Experience Report
    • [cs.DC]From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions
    • [cs.DC]Privatization-Safe Transactional Memories (Extended Version)
    • [cs.DC]Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems
    • [cs.DC]Trade-offs in Distributed Interactive Proofs
    • [cs.DL]Making Recommendations from Web Archives for “Lost” Web Pages
    • [cs.DS]Improved Network Decompositions using Small Messages with Applications on MIS, Neighborhood Covers, and Beyond
    • [cs.DS]Parallel Finger Search Structures
    • [cs.DS]Small Cuts and Connectivity Certificates: A Fault Tolerant Approach
    • [cs.HC]Making GDPR Usable: A Model to Support Usability Evaluations of Privacy
    • [cs.IR]A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor
    • [cs.IR]BERT-based Ranking for Biomedical Entity Normalization
    • [cs.IR]Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
    • [cs.IR]Exploring the Intersections of Web Science and Accessibility
    • [cs.IR]Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments
    • [cs.IR]Neural Document Expansion with User Feedback
    • [cs.IR]The Hitchhiker’s Guide to LDA
    • [cs.IR]Using Semantic Role Knowledge for Relevance Ranking of Key Phrases inDocuments: An Unsupervised Approach
    • [cs.IT]A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS
    • [cs.IT]Hamming and simplex codes for the sum-rank metric
    • [cs.IT]On Max-Min SINR with MMSE Processing for Uplink Cell-Free Massive MIMO
    • [cs.IT]On the Fundamental Limits of MIMO Massive Access Communication
    • [cs.IT]Optimal p-ary cyclic codes with two zeros
    • [cs.IT]Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors
    • [cs.IT]Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective
    • [cs.IT]Scalable Cell-Free Massive MIMO Systems
    • [cs.LG]Bayesian Inference for Large Scale Image Classification
    • [cs.LG]Deep Kernel Learning for Clustering
    • [cs.LG]Fully Convolutional Search Heuristic Learning for Rapid Path Planners
    • [cs.LG]Gradient Boosting Survival Tree with Applications in Credit Scoring
    • [cs.LG]Graph Node Embeddings using Domain-Aware Biased Random Walks
    • [cs.LG]NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
    • [cs.LG]On the Adversarial Robustness of Neural Networks without Weight Transport
    • [cs.LG]On the Variance of the Adaptive Learning Rate and Beyond
    • [cs.LG]One Model To Rule Them All
    • [cs.LG]Optimal multiclass overfitting by sequence reconstruction from Hamming queries
    • [cs.LG]Probabilistic Models with Deep Neural Networks
    • [cs.LG]Random Sum-Product Forests with Residual Links
    • [cs.LG]Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation
    • [cs.LG]TEASER: Early and Accurate Time Series Classification
    • [cs.LG]TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
    • [cs.LG]Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
    • [cs.LG]Uncheatable Machine Learning Inference
    • [cs.LG]Universal Adversarial Audio Perturbations
    • [cs.LG]Variational Bayes on Manifolds
    • [cs.LG]Visualizing the PHATE of Neural Networks
    • [cs.MA]Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model
    • [cs.MM]A Benchmark of Visual Storytelling in Social Media
    • [cs.NE]Benchmarking Surrogate-Assisted Genetic Recommender Systems
    • [cs.NE]One-time learning and reverse salience signal with a salience affected neural network (SANN)
    • [cs.RO]An Insect-scale Self-sufficient Rolling Microrobot
    • [cs.RO]An Insect-scale Untethered Laser-powered Jumping Microrobot
    • [cs.RO]Deep Learning based Wearable Assistive System for Visually Impaired People
    • [cs.RO]Design of the first sub-milligram flapping wing aerial vehicle
    • [cs.RO]Disturbance Estimation and Rejection for High-Precision Multirotor Position Control
    • [cs.RO]Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization
    • [cs.RO]Learning Vision-based Flight in Drone Swarms by Imitation
    • [cs.RO]Localizing Backscatters by a Single Robot With Zero Start-up Cost
    • [cs.RO]Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics
    • [cs.RO]New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices
    • [cs.RO]Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting
    • [cs.SD]Viterbi Extraction tutorial with Hidden Markov Toolkit
    • [cs.SE]RCE: An Integration Environment for Engineering and Science
    • [cs.SI]Assessing Sentiment of the Expressed Stance on Social Media
    • [cs.SI]Bayesian inference of network structure from information cascades
    • [cs.SI]FAIRY: A Framework for Understanding Relationships between Users’ Actions and their Social Feeds
    • [cs.SI]Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks
    • [cs.SI]Rigid Graph Alignment
    • [cs.SI]Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media
    • [eess.AS]Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling
    • [eess.AS]ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
    • [eess.IV]Bias and variance reduction and denoising for CTF Estimation
    • [eess.IV]Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit
    • [eess.IV]Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
    • [eess.IV]WhiteNNer-Blind Image Denoising via Noise Whiteness Priors
    • [eess.SP]A Multimodal Deep Network for the Reconstruction of T2W MR Images
    • [eess.SP]BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond
    • [eess.SP]Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
    • [eess.SP]Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces
    • [eess.SP]Improving Channel Charting with Representation-Constrained Autoencoders
    • [eess.SP]Slepian-Bangs formula and Cramer Rao bound for circular and non-circular complex elliptical symmetric distributions
    • [math.AC]Subgroups of an abelian group, related ideals of the group ring, and quotients by those ideals
    • [math.PR]Extension of Limit Theory with Deleting Items Partial Sum of Random Variable Sequence
    • [math.ST]An Independence Test Based on Recurrence Rates
    • [math.ST]Analysis of Networks via the Sparse $β$-Model
    • [math.ST]Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices I: Theory
    • [math.ST]Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices II: Computation and Applications
    • [math.ST]The general Nature of Saturated Designs
    • [physics.comp-ph]Efficient Simulation of Fluid Flow and Transport in Heterogeneous Media Using Graphics Processing Units (GPUs)
    • [physics.soc-ph]Optimizing spreading dynamics in interconnected networks
    • [physics.soc-ph]Reconstructing commuters network using machine learning and urban indicators
    • [q-bio.NC]Identification of Effective Connectivity Subregions
    • [q-bio.QM]Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
    • [quant-ph]Optimizing quantum heuristics with meta-learning
    • [stat.AP]A nonparametric Bayesian approach to the rare type match problem
    • [stat.AP]Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory
    • [stat.AP]Combined Tail Estimation Using Censored Data and Expert Information
    • [stat.AP]Discovering a Regularity: the Case of An 800-year Law of Advances in Small-Arms Technologies
    • [stat.AP]Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part I: Formulation and Area Averaging
    • [stat.AP]Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments
    • [stat.AP]The utility of a Bayesian Markov model with Pólya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications
    • [stat.ME]Linear regression in the Bayesian framework
    • [stat.ME]Minimax Crossover Designs
    • [stat.ME]Que será será? The uncertainty estimation of feature-based time series forecasts
    • [stat.ME]Robust Causal Inference for Incremental Return on Ad Spend with Randomized Geo Experiments
    • [stat.ML]DeepClean — self-supervised artefact rejection for intensive care waveform data using generative deep learning
    • [stat.ML]Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
    • [stat.ML]Multivariate Convolutional Sparse Coding with Low Rank Tensor

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    • [cs.AI]“Conservatives Overfit, Liberals Underfit”: The Social-Psychological Control of Affect and Uncertainty
    Jesse Hoey, Neil J. MacKinnon
    http://arxiv.org/abs/1908.03106v1

    • [cs.AI]Completing and Debugging Ontologies: state of the art and challenges
    Patrick Lambrix
    http://arxiv.org/abs/1908.03171v1

    • [cs.AI]Measurable Counterfactual Local Explanations for Any Classifier
    Adam White, Artur d’Avila Garcez
    http://arxiv.org/abs/1908.03020v1

    • [cs.CL]A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
    Kateřina Rysová, Magdaléna Rysová, Tomáš Musil, Lucie Poláková, Ondřej Bojar
    http://arxiv.org/abs/1908.03043v1

    • [cs.CL]Artificially Evolved Chunks for Morphosyntactic Analysis
    Mark Anderson, David Vilares, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/1908.03480v1

    • [cs.CL]Challenging the Boundaries of Speech Recognition: The MALACH Corpus
    Michael Picheny, Zóltan Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon
    http://arxiv.org/abs/1908.03455v1

    • [cs.CL]Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
    Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun
    http://arxiv.org/abs/1908.03067v1

    • [cs.CL]UdS Submission for the WMT 19 Automatic Post-Editing Task
    Hongfei Xu, Qiuhui Liu, Josef van Genabith
    http://arxiv.org/abs/1908.03402v1

    • [cs.CR]Multi-client Secure Encrypted Search Using Searching Adversarial Networks
    Kai Chen, Zhongrui Lin, Jian Wan, Lei Xu, Chungen Xu
    http://arxiv.org/abs/1908.02784v1

    • [cs.CR]Tracking Temporal Evolution of Network Activity for Botnet Detection
    Kapil Sinha, Arun Viswanathan, Julian Bunn
    http://arxiv.org/abs/1908.03443v1

    • [cs.CV]A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
    Xuan Yang, Zhengchao Chen, Baipeng Li, Dailiang Peng, Pan Chen, Bing Zhang
    http://arxiv.org/abs/1908.03438v1

    • [cs.CV]Convex hull algorithms based on some variational models
    Lingfeng Li, Shousheng Luo, Xue-Cheng Tai, Jiang Yang
    http://arxiv.org/abs/1908.03323v1

    • [cs.CV]Deep Density-aware Count Regressor
    Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv
    http://arxiv.org/abs/1908.03314v1

    • [cs.CV]Defending Against Adversarial Iris Examples Using Wavelet Decomposition
    Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/1908.03176v1

    • [cs.CV]Distinguishing Individual Red Pandas from Their Faces
    Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou
    http://arxiv.org/abs/1908.03391v1

    • [cs.CV]Dynamic Scale Inference by Entropy Minimization
    Dequan Wang, Evan Shelhamer, Bruno Olshausen, Trevor Darrell
    http://arxiv.org/abs/1908.03182v1

    • [cs.CV]Efficient Inference of CNNs via Channel Pruning
    Boyu Zhang, Azadeh Davoodi, Yu Hen Hu
    http://arxiv.org/abs/1908.03266v1

    • [cs.CV]Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization
    Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun
    http://arxiv.org/abs/1908.03274v1

    • [cs.CV]Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
    Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
    http://arxiv.org/abs/1908.03477v1

    • [cs.CV]From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
    Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/1908.02962v1

    • [cs.CV]GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
    Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen
    http://arxiv.org/abs/1908.03245v1

    • [cs.CV]Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval
    Vítor N. Lourenço, Gabriela G. Silva, Leandro A. F. Fernandes
    http://arxiv.org/abs/1908.02786v1

    • [cs.CV]Image-based marker tracking and registration for intraoperative 3D image-guided interventions using augmented reality
    Andong Cao, Ali Dhanaliwala, Jianbo Shi, Terence Gade, Brian Park
    http://arxiv.org/abs/1908.03237v1

    • [cs.CV]LVIS: A Dataset for Large Vocabulary Instance Segmentation
    Agrim Gupta, Piotr Dollár, Ross Girshick
    http://arxiv.org/abs/1908.03195v1

    • [cs.CV]Moviescope: Large-scale Analysis of Movies using Multiple Modalities
    Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez
    http://arxiv.org/abs/1908.03180v1

    • [cs.CV]PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection
    Qiankun Tang, Shice Liu, Jie Li, Yu Hu
    http://arxiv.org/abs/1908.03295v1

    • [cs.CV]Question-Agnostic Attention for Visual Question Answering
    Moshiur R Farazi, Salman H Khan, Nick Barnes
    http://arxiv.org/abs/1908.03289v1

    • [cs.CV]Recognizing Part Attributes with Insufficient Data
    Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu
    http://arxiv.org/abs/1908.03335v1

    • [cs.CV]Relation-Aware Pyramid Network (RapNet) for temporal action proposal
    Jialin Gao, Zhixiang Shi, Jiani Li, Yufeng Yuan, Jiwei Li, Xi Zhou
    http://arxiv.org/abs/1908.03448v1

    • [cs.CV]Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
    Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev
    http://arxiv.org/abs/1908.03057v2

    • [cs.CV]Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition
    Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor
    http://arxiv.org/abs/1908.03231v1

    • [cs.CV]Towards Generating Stylized Image Captions via Adversarial Training
    Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cecile Paris, Len Hamey
    http://arxiv.org/abs/1908.02943v1

    • [cs.CV]Transferable Representation Learning in Vision-and-Language Navigation
    Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie
    http://arxiv.org/abs/1908.03409v1

    • [cs.CV]Video Face Clustering with Unknown Number of Clusters
    Makarand Tapaswi, Marc T. Law, Sanja Fidler
    http://arxiv.org/abs/1908.03381v1

    • [cs.CV]VisualBERT: A Simple and Performant Baseline for Vision and Language
    Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
    http://arxiv.org/abs/1908.03557v1

    • [cs.CV]Zero-shot Feature Selection via Exploiting Semantic Knowledge
    Zheng Wang, Xiaojun Ye, Qiao Wang
    http://arxiv.org/abs/1908.03464v1

    • [cs.CY]Decision Making with Argumentation Graphs
    Björn Ebbinghaus
    http://arxiv.org/abs/1908.03357v1

    • [cs.DB]Managing the Complexity of Processing Financial Data at Scale — an Experience Report
    Sebastian Frischbier, Mario Paic, Alexander Echler, Christian Roth
    http://arxiv.org/abs/1908.03206v1

    • [cs.DC]From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions
    Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger
    http://arxiv.org/abs/1908.03121v2

    • [cs.DC]Privatization-Safe Transactional Memories (Extended Version)
    Artem Khyzha, Hagit Attiya, Alexey Gotsman
    http://arxiv.org/abs/1908.03179v1

    • [cs.DC]Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems
    Niall H. Robinson, Joe Hamman, Ryan Abernathey
    http://arxiv.org/abs/1908.03356v1

    • [cs.DC]Trade-offs in Distributed Interactive Proofs
    Pierluigi Crescenzi, Pierre Fraigniaud, Ami Paz
    http://arxiv.org/abs/1908.03363v1

    • [cs.DL]Making Recommendations from Web Archives for “Lost” Web Pages
    Lulwah M. Alkwai, Michael L. Nelson, Michele C. Weigle
    http://arxiv.org/abs/1908.02819v1

    • [cs.DS]Improved Network Decompositions using Small Messages with Applications on MIS, Neighborhood Covers, and Beyond
    Mohsen Ghaffari, Julian Portmann
    http://arxiv.org/abs/1908.03500v1

    • [cs.DS]Parallel Finger Search Structures
    Seth Gilbert, Wei Quan Lim
    http://arxiv.org/abs/1908.02741v2

    • [cs.DS]Small Cuts and Connectivity Certificates: A Fault Tolerant Approach
    Merav Parter
    http://arxiv.org/abs/1908.03022v1

    • [cs.HC]Making GDPR Usable: A Model to Support Usability Evaluations of Privacy
    Johanna Johansen
    http://arxiv.org/abs/1908.03503v1

    • [cs.IR]A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor
    Mohammad Hafiz Ismail, Tajul Rosli Razak, Muhamad Arif Hashim, Alif Faisal Ibrahim
    http://arxiv.org/abs/1908.03475v1

    • [cs.IR]BERT-based Ranking for Biomedical Entity Normalization
    Zongcheng Ji, Qiang Wei, Hua Xu
    http://arxiv.org/abs/1908.03548v1

    • [cs.IR]Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images
    Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler
    http://arxiv.org/abs/1908.03361v1

    • [cs.IR]Exploring the Intersections of Web Science and Accessibility
    Trevor Bostic, Jeff Stanley, John Higgins, Rachael L. Bradley-Montgomery, Justin F. Brunelle, Daniel Chudnov
    http://arxiv.org/abs/1908.02804v1

    • [cs.IR]Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments
    Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo
    http://arxiv.org/abs/1908.03451v1

    • [cs.IR]Neural Document Expansion with User Feedback
    Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu
    http://arxiv.org/abs/1908.02938v1

    • [cs.IR]The Hitchhiker’s Guide to LDA
    Chen Ma
    http://arxiv.org/abs/1908.03142v1

    • [cs.IR]Using Semantic Role Knowledge for Relevance Ranking of Key Phrases inDocuments: An Unsupervised Approach
    Prateeti Mohapatra, Neelamadhav Gantayat, Gargi B. Dasgupta
    http://arxiv.org/abs/1908.03313v1

    • [cs.IT]A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS
    Charles Jeon, Oscar Castañeda, Christoph Studer
    http://arxiv.org/abs/1908.03288v1

    • [cs.IT]Hamming and simplex codes for the sum-rank metric
    Umberto Martínez-Peñas
    http://arxiv.org/abs/1908.03239v1

    • [cs.IT]On Max-Min SINR with MMSE Processing for Uplink Cell-Free Massive MIMO
    W. A. Chamalee Wickrama Arachchi, K. B. Shashika Manosha, N. Rajatheva, M. Latva-aho
    http://arxiv.org/abs/1908.03187v1

    • [cs.IT]On the Fundamental Limits of MIMO Massive Access Communication
    Fan Wei, Yongpeng Wu, Wen Chen, Yanlin Geng, Giuseppe Caire
    http://arxiv.org/abs/1908.03298v1

    • [cs.IT]Optimal p-ary cyclic codes with two zeros
    Yan Liu, Xiwang Cao
    http://arxiv.org/abs/1908.03070v1

    • [cs.IT]Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors
    Qianqian Zhang, Walid Saad, Mehdi Bennis
    http://arxiv.org/abs/1908.03271v1

    • [cs.IT]Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective
    Qian Xu, Pinyi Ren, A. Lee Swindlehurst
    http://arxiv.org/abs/1908.03174v1

    • [cs.IT]Scalable Cell-Free Massive MIMO Systems
    Emil Björnson, Luca Sanguinetti
    http://arxiv.org/abs/1908.03119v1

    • [cs.LG]Bayesian Inference for Large Scale Image Classification
    Jonathan Heek, Nal Kalchbrenner
    http://arxiv.org/abs/1908.03491v1

    • [cs.LG]Deep Kernel Learning for Clustering
    Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer Dy
    http://arxiv.org/abs/1908.03515v1

    • [cs.LG]Fully Convolutional Search Heuristic Learning for Rapid Path Planners
    Yuka Ariki, Takuya Narihira
    http://arxiv.org/abs/1908.03343v1

    • [cs.LG]Gradient Boosting Survival Tree with Applications in Credit Scoring
    Miaojun Bai, Yan Zheng, Yun Shen
    http://arxiv.org/abs/1908.03385v1

    • [cs.LG]Graph Node Embeddings using Domain-Aware Biased Random Walks
    Sourav Mukherjee, Tim Oates, Ryan Wright
    http://arxiv.org/abs/1908.02947v1

    • [cs.LG]NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
    Yifan Sun, Linan Zhang, Hayden Schaeffer
    http://arxiv.org/abs/1908.03190v1

    • [cs.LG]On the Adversarial Robustness of Neural Networks without Weight Transport
    Mohamed Akrout
    http://arxiv.org/abs/1908.03560v1

    • [cs.LG]On the Variance of the Adaptive Learning Rate and Beyond
    Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
    http://arxiv.org/abs/1908.03265v1

    • [cs.LG]One Model To Rule Them All
    Felix Berkhahn, Richard Keys, Wajih Ouertani, Nikhil Shetty, Dominik Geißler
    http://arxiv.org/abs/1908.03015v1

    • [cs.LG]Optimal multiclass overfitting by sequence reconstruction from Hamming queries
    Jayadev Acharya, Ananda Theertha Suresh
    http://arxiv.org/abs/1908.03156v1

    • [cs.LG]Probabilistic Models with Deep Neural Networks
    Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
    http://arxiv.org/abs/1908.03442v1

    • [cs.LG]Random Sum-Product Forests with Residual Links
    Fabrizio Ventola, Karl Stelzner, Alejandro Molina, Kristian Kersting
    http://arxiv.org/abs/1908.03250v1

    • [cs.LG]Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation
    Raphael C. Brito, Hansenclever F. Bassani
    http://arxiv.org/abs/1908.02830v1

    • [cs.LG]TEASER: Early and Accurate Time Series Classification
    P. Schäfer, U. Leser
    http://arxiv.org/abs/1908.03405v1

    • [cs.LG]TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
    Youngeun Kwon, Yunjae Lee, Minsoo Rhu
    http://arxiv.org/abs/1908.03072v1

    • [cs.LG]Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
    Ching-An Cheng, Xinyan Yan, Byron Boots
    http://arxiv.org/abs/1908.03263v1

    • [cs.LG]Uncheatable Machine Learning Inference
    Mustafa Canim, Ashish Kundu, Josh Payne
    http://arxiv.org/abs/1908.03270v1

    • [cs.LG]Universal Adversarial Audio Perturbations
    Sajjad Abdoli, Luiz G. Hafemann, Jerome Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich
    http://arxiv.org/abs/1908.03173v1

    • [cs.LG]Variational Bayes on Manifolds
    Minh-Ngoc Tran, Dang H. Nguyen, Duy Nguyen
    http://arxiv.org/abs/1908.03097v1

    • [cs.LG]Visualizing the PHATE of Neural Networks
    Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne
    http://arxiv.org/abs/1908.02831v1

    • [cs.MA]Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model
    Dongjun Kim, Tae-Sub Yun, Il-Chul Moon
    http://arxiv.org/abs/1908.03309v1

    • [cs.MM]A Benchmark of Visual Storytelling in Social Media
    Gonçalo Marcelino, David Semedo, André Mourão, Saverio Blasi, Marta Mrak, João Magalhães
    http://arxiv.org/abs/1908.03505v1

    • [cs.NE]Benchmarking Surrogate-Assisted Genetic Recommender Systems
    Thomas Gabor, Philipp Altmann
    http://arxiv.org/abs/1908.02880v1

    • [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/1908.03532v1

    • [cs.RO]An Insect-scale Self-sufficient Rolling Microrobot
    Palak Bhushan, Claire Tomlin
    http://arxiv.org/abs/1908.03283v1

    • [cs.RO]An Insect-scale Untethered Laser-powered Jumping Microrobot
    Palak Bhushan, Claire Tomlin
    http://arxiv.org/abs/1908.03282v1

    • [cs.RO]Deep Learning based Wearable Assistive System for Visually Impaired People
    Yimin Lin, Kai Wang, Wanxin Yi, Shiguo Lian
    http://arxiv.org/abs/1908.03364v1

    • [cs.RO]Design of the first sub-milligram flapping wing aerial vehicle
    Palak Bhushan, Claire Tomlin
    http://arxiv.org/abs/1908.03203v1

    • [cs.RO]Disturbance Estimation and Rejection for High-Precision Multirotor Position Control
    Daniel Hentzen, Thomas Stastny, Roland Siegwart, Roland Brockers
    http://arxiv.org/abs/1908.03166v1

    • [cs.RO]Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization
    Filip Marić, Oliver Limoyo, Luka Petrović, Trevor Ablett, Ivan Petrović, Jonathan Kelly
    http://arxiv.org/abs/1908.02963v1

    • [cs.RO]Learning Vision-based Flight in Drone Swarms by Imitation
    Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano
    http://arxiv.org/abs/1908.02999v1

    • [cs.RO]Localizing Backscatters by a Single Robot With Zero Start-up Cost
    Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang
    http://arxiv.org/abs/1908.03297v1

    • [cs.RO]Neural-Learning Trajectory Tracking Control of Flexible-Joint Robot Manipulators with Unknown Dynamics
    Shuyang Chen, John T. Wen
    http://arxiv.org/abs/1908.03269v1

    • [cs.RO]New Wing Stroke and Wing Pitch Approaches for Milligram-scale Aerial Devices
    Palak Bhushan, Claire Tomlin
    http://arxiv.org/abs/1908.03422v1

    • [cs.RO]Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting
    Petr Svarny, Michael Tesar, Jan Kristof Behrens, Matej Hoffmann
    http://arxiv.org/abs/1908.03046v1

    • [cs.SD]Viterbi Extraction tutorial with Hidden Markov Toolkit
    Zulkarnaen Hatala, Victor Puturuhu
    http://arxiv.org/abs/1908.03143v1

    • [cs.SE]RCE: An Integration Environment for Engineering and Science
    Brigitte Boden, Jan Flink, Robert Mischke, Kathrin Schaffert, Alexander Weinert, Annika Wohlan, Andreas Schreiber
    http://arxiv.org/abs/1908.03461v1

    • [cs.SI]Assessing Sentiment of the Expressed Stance on Social Media
    Abeer Aldayel, Walid Magdy
    http://arxiv.org/abs/1908.03181v1

    • [cs.SI]Bayesian inference of network structure from information cascades
    Caitlin Gray, Lewis Mitchell, Matthew Roughan
    http://arxiv.org/abs/1908.03318v1

    • [cs.SI]FAIRY: A Framework for Understanding Relationships between Users’ Actions and their Social Feeds
    Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
    http://arxiv.org/abs/1908.03109v1

    • [cs.SI]Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks
    He Chaocheng, Wu Jiang, Zhang Qingpeng
    http://arxiv.org/abs/1908.02951v1

    • [cs.SI]Rigid Graph Alignment
    Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
    http://arxiv.org/abs/1908.03201v1

    • [cs.SI]Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media
    Abeer Aldayel, Walid Magdy
    http://arxiv.org/abs/1908.03146v1

    • [eess.AS]Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling
    Siyuan Feng, Tan Lee
    http://arxiv.org/abs/1908.03538v1

    • [eess.AS]ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
    Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto
    http://arxiv.org/abs/1908.03299v1

    • [eess.IV]Bias and variance reduction and denoising for CTF Estimation
    Ayelet Heimowitz, Joakim Andén, Amit Singer
    http://arxiv.org/abs/1908.03454v1

    • [eess.IV]Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit
    D. Sabarinathan, M. Parisa Beham, S. M. Md. Mansoor Roomi
    http://arxiv.org/abs/1908.03339v1

    • [eess.IV]Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
    Wenshuai Zhao, Zengfeng Zeng
    http://arxiv.org/abs/1908.03204v1

    • [eess.IV]WhiteNNer-Blind Image Denoising via Noise Whiteness Priors
    Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh
    http://arxiv.org/abs/1908.03238v1

    • [eess.SP]A Multimodal Deep Network for the Reconstruction of T2W MR Images
    Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
    http://arxiv.org/abs/1908.03009v1

    • [eess.SP]BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond
    Ramina Ghods, Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Christoph Studer
    http://arxiv.org/abs/1908.02884v1

    • [eess.SP]Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
    Yuwen Yang, Feifei Gao, Geoffrey Ye Li, Mengnan Jian
    http://arxiv.org/abs/1908.03360v1

    • [eess.SP]Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces
    Emil Björnson, Luca Sanguinetti
    http://arxiv.org/abs/1908.03133v1

    • [eess.SP]Improving Channel Charting with Representation-Constrained Autoencoders
    Pengzhi Huang, Oscar Castañeda, Emre Gönültaş, Saïd Medjkouh, Olav Tirkkonen, Tom Goldstein, Christoph Studer
    http://arxiv.org/abs/1908.02878v1

    • [eess.SP]Slepian-Bangs formula and Cramer Rao bound for circular and non-circular complex elliptical symmetric distributions
    Habti Abeida, Jean-Pierre Delmas
    http://arxiv.org/abs/1908.03544v1

    • [math.AC]Subgroups of an abelian group, related ideals of the group ring, and quotients by those ideals
    Hideyasu Kawai
    http://arxiv.org/abs/1908.02968v1

    • [math.PR]Extension of Limit Theory with Deleting Items Partial Sum of Random Variable Sequence
    Jingwei Liu
    http://arxiv.org/abs/1908.03541v1

    • [math.ST]An Independence Test Based on Recurrence Rates
    Juan Kalemkerian, Diego Fernández
    http://arxiv.org/abs/1908.03305v1

    • [math.ST]Analysis of Networks via the Sparse $β$-Model
    Mingli Chen, Kengo Kato, Chenlei Leng
    http://arxiv.org/abs/1908.03152v1

    • [math.ST]Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices I: Theory
    J. F. Lutzeyer, A. T. Walden
    http://arxiv.org/abs/1908.03462v1

    • [math.ST]Extending the Davis-Kahan theorem for comparing eigenvectors of two symmetric matrices II: Computation and Applications
    J. F. Lutzeyer, A. T. Walden
    http://arxiv.org/abs/1908.03465v1

    • [math.ST]The general Nature of Saturated Designs
    Francois Domagni, Samad Hedayat, Sinha Bikas
    http://arxiv.org/abs/1908.03317v1

    • [physics.comp-ph]Efficient Simulation of Fluid Flow and Transport in Heterogeneous Media Using Graphics Processing Units (GPUs)
    Hassan Dashtian, Muhammad Sahimi
    http://arxiv.org/abs/1908.03301v1

    • [physics.soc-ph]Optimizing spreading dynamics in interconnected networks
    Liming Pan, Wei Wang, Shimin Cai, Tao Zhou
    http://arxiv.org/abs/1908.03406v1

    • [physics.soc-ph]Reconstructing commuters network using machine learning and urban indicators
    Gabriel Spadon, Andre C. P. L. F. de Carvalho, Jose F. Rodrigues-Jr, Luiz G. A. Alves
    http://arxiv.org/abs/1908.03512v1

    • [q-bio.NC]Identification of Effective Connectivity Subregions
    Ruben Sanchez-Romero, Joseph D. Ramsey, Kun Zhang, Clark Glymour
    http://arxiv.org/abs/1908.03264v1

    • [q-bio.QM]Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
    Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium Khan, Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed
    http://arxiv.org/abs/1908.03272v1

    • [quant-ph]Optimizing quantum heuristics with meta-learning
    Max Wilson, Sam Stromswold, Filip Wudarski, Stuart Hadfield, Norm M. Tubman, Eleanor Rieffel
    http://arxiv.org/abs/1908.03185v1

    • [stat.AP]A nonparametric Bayesian approach to the rare type match problem
    Giulia Cereda, Richard D. Gill
    http://arxiv.org/abs/1908.02954v1

    • [stat.AP]Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory
    Anna Kiriliouk, Philippe Naveau
    http://arxiv.org/abs/1908.03107v1

    • [stat.AP]Combined Tail Estimation Using Censored Data and Expert Information
    Martin Bladt, Hansjoerg Albrecher, Jan Beirlant
    http://arxiv.org/abs/1908.03390v1

    • [stat.AP]Discovering a Regularity: the Case of An 800-year Law of Advances in Small-Arms Technologies
    Alexander Kott, Philip Perconti, Nandi Leslie
    http://arxiv.org/abs/1908.03435v1

    • [stat.AP]Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part I: Formulation and Area Averaging
    Pranay Seshadri, Duncan Simpson, George Thorne, Andrew Duncan, Geoffrey Parks
    http://arxiv.org/abs/1908.03431v1

    • [stat.AP]Spatial Flow-Field Approximation Using Few Thermodynamic Measurements Part II: Uncertainty Assessments
    Pranay Seshadri, Andrew Duncan, Duncan Simpson, George Thorne, Geoffrey Parks
    http://arxiv.org/abs/1908.02934v1

    • [stat.AP]The utility of a Bayesian Markov model with Pólya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications
    Toryn L. J. Schafer, Christopher K. Wikle, Jay A. VonBank, Bart M. Ballard, Mitch D. Weegman
    http://arxiv.org/abs/1908.02806v1

    • [stat.ME]Linear regression in the Bayesian framework
    Thierry A. Mara
    http://arxiv.org/abs/1908.03329v1

    • [stat.ME]Minimax Crossover Designs
    Guillaume Basse, Yi Ding, Panos Toulis
    http://arxiv.org/abs/1908.03531v1

    • [stat.ME]Que será será? The uncertainty estimation of feature-based time series forecasts
    Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li
    http://arxiv.org/abs/1908.02891v1

    • [stat.ME]Robust Causal Inference for Incremental Return on Ad Spend with Randomized Geo Experiments
    Aiyou Chen, Timothy C. Au
    http://arxiv.org/abs/1908.02922v1

    • [stat.ML]DeepClean — self-supervised artefact rejection for intensive care waveform data using generative deep learning
    Tom Edinburgh, Peter Smielewski, Marek Czosnyka, Stephen J. Eglen, Ari Ercole
    http://arxiv.org/abs/1908.03129v1

    • [stat.ML]Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
    Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
    http://arxiv.org/abs/1908.03463v1

    • [stat.ML]Multivariate Convolutional Sparse Coding with Low Rank Tensor
    Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis
    http://arxiv.org/abs/1908.03367v1