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