cs.AI - 人工智能

    cs.CC - 计算复杂度 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.DL - 数字图书馆 cs.HC - 人机接口 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.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.MG -公制几何 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.app-ph - 应用物理 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]KBSET — Knowledge-Based Support for Scholarly Editing and Text Processing
    • [cs.AI]PIE — Proving, Interpolating and Eliminating on the Basis of First-Order Logic
    • [cs.CC]Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication
    • [cs.CL]A Joint Model for Aspect-Category Sentiment Analysis with Contextualized Aspect Embedding
    • [cs.CL]A Summarization System for Scientific Documents
    • [cs.CL]Analyzing Customer Feedback for Product Fit Prediction
    • [cs.CL]CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
    • [cs.CL]Document Hashing with Mixture-Prior Generative Models
    • [cs.CL]Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
    • [cs.CL]Ellipsis and Coreference Resolution as Question Answering
    • [cs.CL]FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
    • [cs.CL]From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
    • [cs.CL]Global Reasoning over Database Structures for Text-to-SQL Parsing
    • [cs.CL]Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings
    • [cs.CL]HARE: a Flexible Highlighting Annotator for Ranking and Exploration
    • [cs.CL]Human-grounded Evaluations of Explanation Methods for Text Classification
    • [cs.CL]Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
    • [cs.CL]Interactive Language Learning by Question Answering
    • [cs.CL]Learning a Multitask Curriculum for Neural Machine Translation
    • [cs.CL]Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
    • [cs.CL]Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery
    • [cs.CL]Memorizing All for Implicit Discourse Relation Recognition
    • [cs.CL]Multilingual and Multi-Aspect Hate Speech Analysis
    • [cs.CL]Neural Snowball for Few-Shot Relation Learning
    • [cs.CL]Probing Representations Learned by Multimodal Recurrent and Transformer Models
    • [cs.CL]Regularized Context Gates on Transformer for Machine Translation
    • [cs.CL]Remedying BiLSTM-CNN Deficiency in Modeling Cross-Context for NER
    • [cs.CL]Scientific Statement Classification over arXiv.org
    • [cs.CL]Shallow Syntax in Deep Water
    • [cs.CL]SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
    • [cs.CL]Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
    • [cs.CL]Two-Pass End-to-End Speech Recognition
    • [cs.CL]Zero-shot Text-to-SQL Learning with Auxiliary Task
    • [cs.CR]Private Heavy Hitters and Range Queries in the Shuffled Model
    • [cs.CV]3D Anchor-Free Lesion Detector on Computed Tomography Scans
    • [cs.CV]3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach
    • [cs.CV]A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
    • [cs.CV]A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision
    • [cs.CV]Aesthetic Image Captioning From Weakly-Labelled Photographs
    • [cs.CV]DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
    • [cs.CV]DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images
    • [cs.CV]DWnet: Deep-Wide Network for 3D Action Recognition
    • [cs.CV]Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
    • [cs.CV]DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images
    • [cs.CV]Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction
    • [cs.CV]Exploiting Temporality for Semi-Supervised Video Segmentation
    • [cs.CV]Focus-Enhanced Scene Text Recognition with Deformable Convolutions
    • [cs.CV]Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
    • [cs.CV]Improving Self-Supervised Single View Depth Estimation by Masking Occlusion
    • [cs.CV]Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
    • [cs.CV]Minimum Delay Object Detection From Video
    • [cs.CV]Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
    • [cs.CV]Out the Window: A Crowd-Sourced Dataset for Activity Classification in Surveillance Video
    • [cs.CV]Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
    • [cs.CV]PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark Dataset
    • [cs.CV]StarNet: Targeted Computation for Object Detection in Point Clouds
    • [cs.CV]Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
    • [cs.CV]Texel-Att: Representing and Classifying Element-based Textures by Attributes
    • [cs.CV]Texture Retrieval in the Wild through detection-based attributes
    • [cs.CV]Texture Underfitting for Domain Adaptation
    • [cs.CV]Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
    • [cs.CV]Variational Denoising Network: Toward Blind Noise Modeling and Removal
    • [cs.CY]A Concert-planning Tool for Independent Musicians by Machine Learning Models
    • [cs.CY]Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums
    • [cs.CY]Towards Ethical Content-Based Detection of Online Influence Campaigns
    • [cs.DB]Datalog Reasoning over Compressed RDF Knowledge Bases
    • [cs.DL]Wikidata from a Research Perspective — A Systematic Mapping Study of Wikidata
    • [cs.HC]Not at Home on the Range: Peer Production and the Urban/Rural Divide
    • [cs.IR]A Zero Attention Model for Personalized Product Search
    • [cs.IR]Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
    • [cs.IR]Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
    • [cs.IT]Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
    • [cs.IT]Improved Storage for Efficient Private Information Retrieval
    • [cs.IT]Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach
    • [cs.IT]Stochastic Successive Convex Approximation for General Stochastic Optimization Problems
    • [cs.IT]Uplink power control in cell-free massive MIMO via deep learning
    • [cs.LG]A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
    • [cs.LG]An Auto-ML Framework Based on GBDT for Lifelong Learning
    • [cs.LG]Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective
    • [cs.LG]Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
    • [cs.LG]Defending Against Misclassification Attacks in Transfer Learning
    • [cs.LG]Distributed Deep Learning for Precipitation Nowcasting
    • [cs.LG]InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
    • [cs.LG]Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
    • [cs.LG]Optimal transport mapping via input convex neural networks
    • [cs.LG]Smaller Models, Better Generalization
    • [cs.LG]Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
    • [cs.LG]Solving Math Word Problems with Double-Decoder Transformer
    • [cs.LG]Spectral Regularization for Combating Mode Collapse in GANs
    • [cs.LG]Universal, transferable and targeted adversarial attacks
    • [cs.LO]Automating Agential Reasoning: Proof-Calculi and Syntactic Decidability for STIT Logics
    • [cs.LO]Ordered Sets for Data Analysis
    • [cs.MM]A Robust Image Watermarking System Based on Deep Neural Networks
    • [cs.NE]PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
    • [cs.NI]Power and Beam Optimization for Uplink Millimeter-Wave Hotspot Communication Systems
    • [cs.PF]TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir
    • [cs.RO]Active Learning for UAV-based Semantic Mapping
    • [cs.SD]Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
    • [cs.SD]Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks
    • [cs.SI]A Deep Neural Information Fusion Architecture for Textual Network Embeddings
    • [cs.SI]A Large-Scale Empirical Study of Geotagging Behavior on Twitter
    • [cs.SI]A cross-sectional study of social inequities in medical crowdfunding campaigns in the United States
    • [cs.SI]Identification of influencers in complex networks by local information dimension
    • [eess.IV]Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
    • [eess.IV]Multi-Channel Deep Networks for Block-Based Image Compressive Sensing
    • [eess.IV]Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS)
    • [eess.SP]Enhanced block sparse signal recovery based on $q$-ratio block constrained minimal singular values
    • [eess.SP]Inspection of methods of empirical mode decomposition
    • [eess.SP]Short-and-Sparse Deconvolution — A Geometric Approach
    • [eess.SP]Targeted Source Detection for Environmental Data
    • [math.MG]The maximum entropy of a metric space
    • [math.NA]Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing
    • [math.NA]Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference
    • [math.PR]Nearly-Linear uncertainty measures
    • [math.ST]Minimax optimal estimators for general additive functional estimation
    • [math.ST]Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations
    • [physics.app-ph]An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection
    • [physics.soc-ph]Elites, communities and the limited benefits of mentorship in electronic music
    • [physics.soc-ph]Going beneath the shoulders of giants: tracking the cumulative knowledge spreading in a comprehensive citation network
    • [q-bio.QM]Linear Noise Approximation of Intensity-Driven Signal Transduction Channels
    • [q-fin.ST]Stock Price Forecasting and Hypothesis Testing Using Neural Networks
    • [stat.AP]A New Proposal of Applications of Statistical Depth Functions in Causal Analysis of Socio-Economic Phenomena Based on Official Statistics — A Study of EU Agricultural Subsidies and Digital Developement in Poland
    • [stat.AP]Analysis of a DNA mixture case involving Romani reference populations
    • [stat.AP]Bayesian Stacked Parametric Survival with Frailty Components and Interval Censored Failure Times
    • [stat.AP]Low Cost Sensor Networks; How Do We Know the Data are Reliable?
    • [stat.ME]A General Model Validation and Testing Tool
    • [stat.ME]Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer’s Disease
    • [stat.ME]Multimodal Neuroimaging Data Integration and Pathway Analysis
    • [stat.ME]Variable screening based on Gaussian Centered L-moments
    • [stat.ML]Data-based wind disaster climate identification algorithm and extreme wind speed prediction
    • [stat.ML]Deep Learning and MARS: A Connection
    • [stat.ML]Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production
    • [stat.ML]Modeling and Optimization with Gaussian Processes in Reduced Eigenbases — Extended Version
    • [stat.ML]On the rate of convergence of fully connected very deep neural network regression estimates
    • [stat.ML]Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
    • [stat.ML]White-box vs Black-box: Bayes Optimal Strategies for Membership Inference

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    • [cs.AI]KBSET — Knowledge-Based Support for Scholarly Editing and Text Processing
    Jana Kittelmann, Christoph Wernhard
    http://arxiv.org/abs/1908.11135v1

    • [cs.AI]PIE — Proving, Interpolating and Eliminating on the Basis of First-Order Logic
    Christoph Wernhard
    http://arxiv.org/abs/1908.11137v1

    • [cs.CC]Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication
    Grzegorz Kwasniewski, Marko Kabić, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler
    http://arxiv.org/abs/1908.09606v2

    • [cs.CL]A Joint Model for Aspect-Category Sentiment Analysis with Contextualized Aspect Embedding
    Yuncong Li, Cunxiang Yin, Ting Wei, Huiqiang Zhong, Jinchang Luo, Siqi Xu, Xiaohui Wu
    http://arxiv.org/abs/1908.11017v1

    • [cs.CL]A Summarization System for Scientific Documents
    Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki
    http://arxiv.org/abs/1908.11152v1

    • [cs.CL]Analyzing Customer Feedback for Product Fit Prediction
    Stephan Baier
    http://arxiv.org/abs/1908.10896v1

    • [cs.CL]CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
    Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang
    http://arxiv.org/abs/1908.11337v1

    • [cs.CL]Document Hashing with Mixture-Prior Generative Models
    Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
    http://arxiv.org/abs/1908.11078v1

    • [cs.CL]Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
    Jonathan Herzig, Jonathan Berant
    http://arxiv.org/abs/1908.09940v2

    • [cs.CL]Ellipsis and Coreference Resolution as Question Answering
    Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard
    http://arxiv.org/abs/1908.11141v1

    • [cs.CL]FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
    Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych
    http://arxiv.org/abs/1908.11254v1

    • [cs.CL]From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
    Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d’Alché-Buc, Chloé Clavel
    http://arxiv.org/abs/1908.11216v1

    • [cs.CL]Global Reasoning over Database Structures for Text-to-SQL Parsing
    Ben Bogin, Matt Gardner, Jonathan Berant
    http://arxiv.org/abs/1908.11214v1

    • [cs.CL]Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings
    David Schlangen
    http://arxiv.org/abs/1908.11279v1

    • [cs.CL]HARE: a Flexible Highlighting Annotator for Ranking and Exploration
    Denis Newman-Griffis, Eric Fosler-Lussier
    http://arxiv.org/abs/1908.11302v1

    • [cs.CL]Human-grounded Evaluations of Explanation Methods for Text Classification
    Piyawat Lertvittayakumjorn, Francesca Toni
    http://arxiv.org/abs/1908.11355v1

    • [cs.CL]Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
    Biao Zhang, Ivan Titov, Rico Sennrich
    http://arxiv.org/abs/1908.11365v1

    • [cs.CL]Interactive Language Learning by Question Answering
    Xingdi Yuan, Marc-Alexandre Cote, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
    http://arxiv.org/abs/1908.10909v1

    • [cs.CL]Learning a Multitask Curriculum for Neural Machine Translation
    Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh
    http://arxiv.org/abs/1908.10940v1

    • [cs.CL]Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering
    Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu
    http://arxiv.org/abs/1908.11053v1

    • [cs.CL]Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery
    Zhe Zhang, Munindar P. Singh
    http://arxiv.org/abs/1908.10970v1

    • [cs.CL]Memorizing All for Implicit Discourse Relation Recognition
    Hongxiao Bai, Hai Zhao, Junhan Zhao
    http://arxiv.org/abs/1908.11317v1

    • [cs.CL]Multilingual and Multi-Aspect Hate Speech Analysis
    Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
    http://arxiv.org/abs/1908.11049v1

    • [cs.CL]Neural Snowball for Few-Shot Relation Learning
    Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
    http://arxiv.org/abs/1908.11007v1

    • [cs.CL]Probing Representations Learned by Multimodal Recurrent and Transformer Models
    Jindřich Libovický, Pranava Madhyastha
    http://arxiv.org/abs/1908.11125v1

    • [cs.CL]Regularized Context Gates on Transformer for Machine Translation
    Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, Max Meng
    http://arxiv.org/abs/1908.11020v1

    • [cs.CL]Remedying BiLSTM-CNN Deficiency in Modeling Cross-Context for NER
    Peng-Hsuan Li, Tsu-Jui Fu, Wei-Yun Ma
    http://arxiv.org/abs/1908.11046v1

    • [cs.CL]Scientific Statement Classification over arXiv.org
    Deyan Ginev, Bruce R. Miller
    http://arxiv.org/abs/1908.10993v1

    • [cs.CL]Shallow Syntax in Deep Water
    Swabha Swayamdipta, Matthew Peters, Brendan Roof, Chris Dyer, Noah A. Smith
    http://arxiv.org/abs/1908.11047v1

    • [cs.CL]SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
    Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang
    http://arxiv.org/abs/1908.10917v1

    • [cs.CL]Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
    Angel Daza, Anette Frank
    http://arxiv.org/abs/1908.11326v1

    • [cs.CL]Two-Pass End-to-End Speech Recognition
    Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu
    http://arxiv.org/abs/1908.10992v1

    • [cs.CL]Zero-shot Text-to-SQL Learning with Auxiliary Task
    Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1908.11052v1

    • [cs.CR]Private Heavy Hitters and Range Queries in the Shuffled Model
    Badih Ghazi, Noah Golowich, Ravi Kumar, Rasmus Pagh, Ameya Velingker
    http://arxiv.org/abs/1908.11358v1

    • [cs.CV]3D Anchor-Free Lesion Detector on Computed Tomography Scans
    Ning Zhang, Dechun Wang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu
    http://arxiv.org/abs/1908.11324v1

    • [cs.CV]3D Face Pose and Animation Tracking via Eigen-Decomposition based Bayesian Approach
    Ngoc-Trung Tran, Fakhr-Eddine Ababsa, Maurice Charbit, Jacques Feldmar, Dijana Petrovska-Delacrétaz, Gérard Chollet
    http://arxiv.org/abs/1908.11039v1

    • [cs.CV]A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
    Fidel Alejandro Guerrero Peña, Pedro Diamel Marrero Fernández, Tsang Ing Ren, Germano Crispim Vasconcelos, Alexandre Cunha
    http://arxiv.org/abs/1908.10945v1

    • [cs.CV]A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision
    John K. Tsotsos, Iuliia Kotseruba, Alexander Andreopoulos, Yulong Wu
    http://arxiv.org/abs/1908.10933v1

    • [cs.CV]Aesthetic Image Captioning From Weakly-Labelled Photographs
    Koustav Ghosal, Aakanksha Rana, Aljosa Smolic
    http://arxiv.org/abs/1908.11310v1

    • [cs.CV]DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides
    Qingsong Xu, Chaojun Ouyang, Tianhai Jiang, Xuanmei Fan, Duoxiang Cheng
    http://arxiv.org/abs/1908.10907v1

    • [cs.CV]DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images
    Rui Guo, Ronghua Liu, Na Li, Wei Liu
    http://arxiv.org/abs/1908.11080v1

    • [cs.CV]DWnet: Deep-Wide Network for 3D Action Recognition
    Yonghao Dang, Fuxing Yang, Jianqin Yin
    http://arxiv.org/abs/1908.11036v1

    • [cs.CV]Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
    Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu
    http://arxiv.org/abs/1908.11025v1

    • [cs.CV]DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images
    Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengul Cetin-Atalay, Cigdem Gunduz-Demir
    http://arxiv.org/abs/1908.11211v1

    • [cs.CV]Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction
    Xiangyu Xu, Enrique Dunn
    http://arxiv.org/abs/1908.11044v1

    • [cs.CV]Exploiting Temporality for Semi-Supervised Video Segmentation
    Radu Sibechi, Olaf Booij, Nora Baka, Peter Bloem
    http://arxiv.org/abs/1908.11309v1

    • [cs.CV]Focus-Enhanced Scene Text Recognition with Deformable Convolutions
    Yanxiang Gong, Linjie Deng, Xinchen Lu, Xin Yi, Zheng Ma, Mei Xie
    http://arxiv.org/abs/1908.10998v1

    • [cs.CV]Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
    Xinyu Yang, Majid Mirmehdi, Tilo Burghardt
    http://arxiv.org/abs/1908.11240v1

    • [cs.CV]Improving Self-Supervised Single View Depth Estimation by Masking Occlusion
    Maarten Schellevis
    http://arxiv.org/abs/1908.11112v1

    • [cs.CV]Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
    Dae Ha Kim, Seung Hyun Lee, Byung Cheol Song
    http://arxiv.org/abs/1908.11024v1

    • [cs.CV]Minimum Delay Object Detection From Video
    Dong Lao, Ganesh Sundaramoorthi
    http://arxiv.org/abs/1908.11092v1

    • [cs.CV]Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
    Vishwanath A Sindagi, Vishal M. Patel
    http://arxiv.org/abs/1908.10937v1

    • [cs.CV]Out the Window: A Crowd-Sourced Dataset for Activity Classification in Surveillance Video
    Gregory Castanon, Nathan Shnidman, Tim Anderson, Jeffrey Byrne
    http://arxiv.org/abs/1908.10899v1

    • [cs.CV]Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
    Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu
    http://arxiv.org/abs/1908.11026v1

    • [cs.CV]PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark Dataset
    Hong-Seok Lee, Youngmin Yoon, Pil-Hoon Jang, Chankyu Choi
    http://arxiv.org/abs/1908.11060v1

    • [cs.CV]StarNet: Targeted Computation for Object Detection in Point Clouds
    Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan
    http://arxiv.org/abs/1908.11069v1

    • [cs.CV]Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
    Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
    http://arxiv.org/abs/1908.11330v1

    • [cs.CV]Texel-Att: Representing and Classifying Element-based Textures by Attributes
    Marco Godi, Christian Joppi, Andrea Giachetti, Fabio Pellacini, Marco Cristani
    http://arxiv.org/abs/1908.11127v1

    • [cs.CV]Texture Retrieval in the Wild through detection-based attributes
    Christian Joppi, Marco Godi, Andrea Giachetti, Fabio Pellacini, Marco Cristani
    http://arxiv.org/abs/1908.11111v1

    • [cs.CV]Texture Underfitting for Domain Adaptation
    Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool
    http://arxiv.org/abs/1908.11215v1

    • [cs.CV]Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
    Dogancan Temel, Min-Hung Chen, Ghassan AlRegib
    http://arxiv.org/abs/1908.11262v1

    • [cs.CV]Variational Denoising Network: Toward Blind Noise Modeling and Removal
    Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng
    http://arxiv.org/abs/1908.11314v1

    • [cs.CY]A Concert-planning Tool for Independent Musicians by Machine Learning Models
    Xiaohan Yang, Qingyin Ge
    http://arxiv.org/abs/1908.11200v1

    • [cs.CY]Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums
    Jason Shuo Zhang, Chenhao Tan, Qin Lv
    http://arxiv.org/abs/1908.10870v1

    • [cs.CY]Towards Ethical Content-Based Detection of Online Influence Campaigns
    Evan Crothers, Nathalie Japkowicz, Herna Viktor
    http://arxiv.org/abs/1908.11030v1

    • [cs.DB]Datalog Reasoning over Compressed RDF Knowledge Bases
    Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks
    http://arxiv.org/abs/1908.10177v2

    • [cs.DL]Wikidata from a Research Perspective — A Systematic Mapping Study of Wikidata
    Mariam Farda-Sarbas, Claudia Mueller-Birn
    http://arxiv.org/abs/1908.11153v1

    • [cs.HC]Not at Home on the Range: Peer Production and the Urban/Rural Divide
    Isaac Johnson, Allen Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, Brent Hecht
    http://arxiv.org/abs/1908.10954v1

    • [cs.IR]A Zero Attention Model for Personalized Product Search
    Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft
    http://arxiv.org/abs/1908.11322v1

    • [cs.IR]Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features
    Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
    http://arxiv.org/abs/1908.11055v1

    • [cs.IR]Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
    Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu
    http://arxiv.org/abs/1908.11146v1

    • [cs.IT]Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
    Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi
    http://arxiv.org/abs/1908.11225v1

    • [cs.IT]Improved Storage for Efficient Private Information Retrieval
    Karim Banawan, Batuhan Arasli, Sennur Ulukus
    http://arxiv.org/abs/1908.11366v1

    • [cs.IT]Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach
    Ye Hu, Mingzhe Chen, Walid Saad
    http://arxiv.org/abs/1908.11038v1

    • [cs.IT]Stochastic Successive Convex Approximation for General Stochastic Optimization Problems
    Chencheng Ye, Ying Cui
    http://arxiv.org/abs/1908.11015v1

    • [cs.IT]Uplink power control in cell-free massive MIMO via deep learning
    Carmen D’Andrea, Alessio Zappone, Stefano Buzzi, Merouane Debbah
    http://arxiv.org/abs/1908.11121v1

    • [cs.LG]A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
    Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim
    http://arxiv.org/abs/1908.10402v2

    • [cs.LG]An Auto-ML Framework Based on GBDT for Lifelong Learning
    Jinlong Chai, Jiangeng Chang, Yakun Zhao, Honggang Liu
    http://arxiv.org/abs/1908.11033v1

    • [cs.LG]Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective
    Guan-Horng Liu, Evangelos A. Theodorou
    http://arxiv.org/abs/1908.10920v1

    • [cs.LG]Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
    Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu
    http://arxiv.org/abs/1908.11091v1

    • [cs.LG]Defending Against Misclassification Attacks in Transfer Learning
    Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph
    http://arxiv.org/abs/1908.11230v1

    • [cs.LG]Distributed Deep Learning for Precipitation Nowcasting
    Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette
    http://arxiv.org/abs/1908.10964v1

    • [cs.LG]InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
    Javie Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
    http://arxiv.org/abs/1908.11161v1

    • [cs.LG]Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
    Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi
    http://arxiv.org/abs/1908.11335v1

    • [cs.LG]Optimal transport mapping via input convex neural networks
    Ashok Vardhan Makkuva, Amirhossein Taghvaei, Sewoong Oh, Jason D. Lee
    http://arxiv.org/abs/1908.10962v1

    • [cs.LG]Smaller Models, Better Generalization
    Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla
    http://arxiv.org/abs/1908.11250v1

    • [cs.LG]Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
    Aaron Sidford, Mengdi Wang, Lin F. Yang, Yinyu Ye
    http://arxiv.org/abs/1908.11071v1

    • [cs.LG]Solving Math Word Problems with Double-Decoder Transformer
    Yuanliang Meng, Anna Rumshisky
    http://arxiv.org/abs/1908.10924v1

    • [cs.LG]Spectral Regularization for Combating Mode Collapse in GANs
    Kanglin Liu, Wenming Tang, Fei Zhou, Guoping Qiu
    http://arxiv.org/abs/1908.10999v1

    • [cs.LG]Universal, transferable and targeted adversarial attacks
    Junde Wu, Rao Fu
    http://arxiv.org/abs/1908.11332v1

    • [cs.LO]Automating Agential Reasoning: Proof-Calculi and Syntactic Decidability for STIT Logics
    Tim Lyon, Kees van Berkel
    http://arxiv.org/abs/1908.11360v1

    • [cs.LO]Ordered Sets for Data Analysis
    Sergei O. Kuznetsov
    http://arxiv.org/abs/1908.11341v1

    • [cs.MM]A Robust Image Watermarking System Based on Deep Neural Networks
    Xin Zhong, Frank Y. Shih
    http://arxiv.org/abs/1908.11331v1

    • [cs.NE]PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors
    Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
    http://arxiv.org/abs/1908.11263v1

    • [cs.NI]Power and Beam Optimization for Uplink Millimeter-Wave Hotspot Communication Systems
    Rafail Ismayilov, Bernd Holfeld, Renato L. G. Cavalcante, Megumi Kaneko
    http://arxiv.org/abs/1908.11313v1

    • [cs.PF]TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir
    Tao B. Schardl, Siddharth Samsi
    http://arxiv.org/abs/1908.11338v1

    • [cs.RO]Active Learning for UAV-based Semantic Mapping
    Hermann Blum, Silvan Rohrbach, Marija Popovic, Luca Bartolomei, Roland Siegwart
    http://arxiv.org/abs/1908.11157v1

    • [cs.SD]Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
    Yoshiaki Bando, Yoko Sasaki, Kazuyoshi Yoshii
    http://arxiv.org/abs/1908.11307v1

    • [cs.SD]Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks
    Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
    http://arxiv.org/abs/1908.11219v1

    • [cs.SI]A Deep Neural Information Fusion Architecture for Textual Network Embeddings
    Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
    http://arxiv.org/abs/1908.11057v1

    • [cs.SI]A Large-Scale Empirical Study of Geotagging Behavior on Twitter
    Binxuan Huang, Kathleen M. Carley
    http://arxiv.org/abs/1908.10948v1

    • [cs.SI]A cross-sectional study of social inequities in medical crowdfunding campaigns in the United States
    Nora Kenworthy, Zhihang Dong, Anne Montgomery, Emily Fuller, Lauren Berliner
    http://arxiv.org/abs/1908.11018v1

    • [cs.SI]Identification of influencers in complex networks by local information dimension
    Tao Wen, Yong Deng
    http://arxiv.org/abs/1908.11298v1

    • [eess.IV]Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
    Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
    http://arxiv.org/abs/1908.11312v1

    • [eess.IV]Multi-Channel Deep Networks for Block-Based Image Compressive Sensing
    Siwang Zhou, Yan He, Yonghe Liu, Chengqing Li
    http://arxiv.org/abs/1908.11221v1

    • [eess.IV]Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS)
    Jong-Min Kim, You-Jin Jeong, Han-Jae Chung, Chulhyun Lee, Chang-Hyun Oh
    http://arxiv.org/abs/1908.10995v1

    • [eess.SP]Enhanced block sparse signal recovery based on $q$-ratio block constrained minimal singular values
    Jianfeng Wang, Zhiyong Zhou, Jun Yu
    http://arxiv.org/abs/1908.11082v1

    • [eess.SP]Inspection of methods of empirical mode decomposition
    Roberto Hernández Santander, Esperanza Camargo Casallas
    http://arxiv.org/abs/1908.11305v1

    • [eess.SP]Short-and-Sparse Deconvolution — A Geometric Approach
    Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright
    http://arxiv.org/abs/1908.10959v1

    • [eess.SP]Targeted Source Detection for Environmental Data
    Guanjie Zheng, Mengqi Liu, Tao Wen, Hongjian Wang, Huaxiu Yao, Susan L. Brantley, Zhenhui Li
    http://arxiv.org/abs/1908.11056v1

    • [math.MG]The maximum entropy of a metric space
    Tom Leinster, Emily Roff
    http://arxiv.org/abs/1908.11184v1

    • [math.NA]Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing
    M. K. Mudunuru, S. Karra
    http://arxiv.org/abs/1908.10929v1

    • [math.NA]Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference
    Benjamin Peherstorfer
    http://arxiv.org/abs/1908.11233v1

    • [math.PR]Nearly-Linear uncertainty measures
    Chiara Corsato, Renato Pelessoni, Paolo Vicig
    http://arxiv.org/abs/1908.11303v1

    • [math.ST]Minimax optimal estimators for general additive functional estimation
    Olivier Collier, Laëtitia Comminges
    http://arxiv.org/abs/1908.11070v1

    • [math.ST]Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations
    Yihong Wu, Harrison H. Zhou
    http://arxiv.org/abs/1908.10935v1

    • [physics.app-ph]An Application of CNNs to Time Sequenced One Dimensional Data in Radiation Detection
    Eric T. Moore, William P. Ford, Emma J. Hague, Johanna Turk
    http://arxiv.org/abs/1908.10887v1

    • [physics.soc-ph]Elites, communities and the limited benefits of mentorship in electronic music
    Milan Janosov, Federico Musciotto, Federico Battiston, Gerardo Iñiguez
    http://arxiv.org/abs/1908.10968v1

    • [physics.soc-ph]Going beneath the shoulders of giants: tracking the cumulative knowledge spreading in a comprehensive citation network
    Pietro della Briotta Parolo, Rainer Kujala, Kimmo Kaski, Mikko Kivelä
    http://arxiv.org/abs/1908.11089v1

    • [q-bio.QM]Linear Noise Approximation of Intensity-Driven Signal Transduction Channels
    Gregory R. Hessler, Andrew W. Eckford, Peter J. Thomas
    http://arxiv.org/abs/1908.10897v1

    • [q-fin.ST]Stock Price Forecasting and Hypothesis Testing Using Neural Networks
    Kerda Varaku
    http://arxiv.org/abs/1908.11212v1

    • [stat.AP]A New Proposal of Applications of Statistical Depth Functions in Causal Analysis of Socio-Economic Phenomena Based on Official Statistics — A Study of EU Agricultural Subsidies and Digital Developement in Poland
    Kosiorowski Daniel, Jerzy P. Rydlewski
    http://arxiv.org/abs/1908.11099v1

    • [stat.AP]Analysis of a DNA mixture case involving Romani reference populations
    Francesco Dotto, Julia Mortera, Laura Baldasarri, Vincenzo Pascali
    http://arxiv.org/abs/1908.11249v1

    • [stat.AP]Bayesian Stacked Parametric Survival with Frailty Components and Interval Censored Failure Times
    Matthew W. Wheeler, Joost Westerhout, Joe L. Baumert, Benjamin C. Remington
    http://arxiv.org/abs/1908.11334v1

    • [stat.AP]Low Cost Sensor Networks; How Do We Know the Data are Reliable?
    David E Williams
    http://arxiv.org/abs/1908.10928v1

    • [stat.ME]A General Model Validation and Testing Tool
    Kevin Vanslette, Tony Tohme, Kamal Youcef-Toumi
    http://arxiv.org/abs/1908.11251v1

    • [stat.ME]Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer’s Disease
    Christine B. Peterson, Nathan Osborne, Francesco C. Stingo, Pierrick Bourget, James D. Doecke, Marina Vannucci
    http://arxiv.org/abs/1908.10965v1

    • [stat.ME]Multimodal Neuroimaging Data Integration and Pathway Analysis
    Yi Zhao, Lexin Li, Brian S. Caffo
    http://arxiv.org/abs/1908.10925v1

    • [stat.ME]Variable screening based on Gaussian Centered L-moments
    Hyowon An, Kai Zhang, Hannu Oja, J. S. Marron
    http://arxiv.org/abs/1908.11048v1

    • [stat.ML]Data-based wind disaster climate identification algorithm and extreme wind speed prediction
    Wei Cui, Teng Ma, Lin Zhao, Yaojun Ge
    http://arxiv.org/abs/1908.11051v1

    • [stat.ML]Deep Learning and MARS: A Connection
    Michael Kohler, Adam Krzyzak, Sophie Langer
    http://arxiv.org/abs/1908.11140v1

    • [stat.ML]Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production
    Mi Yan, Jonathan C. MacDonald, Chris T. Reaume, Wesley Cobb, Tamas Toth, Sarah S. Karthigan
    http://arxiv.org/abs/1908.11319v1

    • [stat.ML]Modeling and Optimization with Gaussian Processes in Reduced Eigenbases — Extended Version
    David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
    http://arxiv.org/abs/1908.11272v1

    • [stat.ML]On the rate of convergence of fully connected very deep neural network regression estimates
    Michael Kohler, Sophie Langer
    http://arxiv.org/abs/1908.11133v1

    • [stat.ML]Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
    Juliane Mueller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah Agarwal
    http://arxiv.org/abs/1908.10947v1

    • [stat.ML]White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
    Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou
    http://arxiv.org/abs/1908.11229v1