astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 physics.soc-ph - 物理学与社会 q-fin.MF - 数学金融 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
    • [cond-mat.stat-mech]Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes
    • [cs.AI]Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
    • [cs.AI]High efficiency rl agent
    • [cs.AI]Latent Part-of-Speech Sequences for Neural Machine Translation
    • [cs.CL]Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
    • [cs.CL]Answering Conversational Questions on Structured Data without Logical Forms
    • [cs.CL]Charge-Based Prison Term Prediction with Deep Gating Network
    • [cs.CL]Classifying topics in speech when all you have is crummy translations
    • [cs.CL]CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums
    • [cs.CL]Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
    • [cs.CL]DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
    • [cs.CL]Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
    • [cs.CL]Detecting and Reducing Bias in a High Stakes Domain
    • [cs.CL]Dialog Intent Induction with Deep Multi-View Clustering
    • [cs.CL]DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
    • [cs.CL]Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
    • [cs.CL]Encoders Help You Disambiguate Word Senses in Neural Machine Translation
    • [cs.CL]Exploring Domain Shift in Extractive Text Summarization
    • [cs.CL]Fact-Checking Meets Fauxtography: Verifying Claims About Images
    • [cs.CL]Feature2Vec: Distributional semantic modelling of human property knowledge
    • [cs.CL]Hierarchical Pointer Net Parsing
    • [cs.CL]Learning to Infer Entities, Properties and their Relations from Clinical Conversations
    • [cs.CL]Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
    • [cs.CL]Modeling Multi-Action Policy for Task-Oriented Dialogues
    • [cs.CL]Multi-Task Learning with Language Modeling for Question Generation
    • [cs.CL]NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline
    • [cs.CL]On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction
    • [cs.CL]Online influence, offline violence: Linguistic responses to the ‘Unite the Right’ rally
    • [cs.CL]PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
    • [cs.CL]Parsing All: Syntax and Semantics, Dependencies and Spans
    • [cs.CR]Agent-based Simulation of Blockchains
    • [cs.CR]IoT based Smart Access Controlled Secure Smart City Architecture Using Blockchain
    • [cs.CR]On the Ethereum Blockchain Structure: a Complex Networks Theory Perspective
    • [cs.CR]Practical and Robust Privacy Amplification with Multi-Party Differential Privacy
    • [cs.CR]Social Engineering in a Post-Phishing Era: Ambient Tactical Deception Attacks
    • [cs.CR]StairDag: Cross-DAG Validation For Scalable BFT Consensus
    • [cs.CV]Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition
    • [cs.CV]Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques
    • [cs.CV]Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
    • [cs.CV]Copy-and-Paste Networks for Deep Video Inpainting
    • [cs.CV]Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
    • [cs.CV]Domain Intersection and Domain Difference
    • [cs.CV]Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
    • [cs.CV]EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators
    • [cs.CV]EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera
    • [cs.CV]Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
    • [cs.CV]FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving
    • [cs.CV]LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
    • [cs.CV]Learning Rich Representations For Structured Visual Prediction Tasks
    • [cs.CV]MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry
    • [cs.CV]Motion Capture from Pan-Tilt Cameras with Unknown Orientation
    • [cs.CV]Multi-Grained Spatio-temporal Modeling for Lip-reading
    • [cs.CV]Multi-Modal Fusion for End-to-End RGB-T Tracking
    • [cs.CV]Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features
    • [cs.CV]ORBSLAM-Atlas: a robust and accurate multi-map system
    • [cs.CV]Recursive Visual Sound Separation Using Minus-Plus Net
    • [cs.CV]Reflective Decoding Network for Image Captioning
    • [cs.CV]Revisiting CycleGAN for semi-supervised segmentation
    • [cs.CV]Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
    • [cs.CV]Semi-supervised Learning of Fetal Anatomy from Ultrasound
    • [cs.CV]Small Obstacle Avoidance Based on RGB-D Semantic Segmentation
    • [cs.CV]Temporal Coherence for Active Learning in Videos
    • [cs.CY]A Study of Cyber Hate on Twitter with Implications for Social Media Governance Strategies
    • [cs.CY]Introducing: The Game Jam License
    • [cs.CY]Optimal Legislative County Clustering in North Carolina
    • [cs.DB]Parallel In-Memory Evaluation of Spatial Joins
    • [cs.DC]Comparative study of performance of parallel Alpha Beta Pruning for different architectures
    • [cs.DC]High Performance Scalable FPGA Accelerator for Deep Neural Networks
    • [cs.DC]Internet-based Adaptive Distributed Simulation of Mobile Ad-hoc Networks
    • [cs.DC]Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
    • [cs.DS]Want to Gather? No Need to Chatter!
    • [cs.ET]A Machine Learning Accelerator In-Memory for Energy Harvesting
    • [cs.ET]An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
    • [cs.HC]A Survey of Automated Programming Hint Generation — The HINTS Framework
    • [cs.HC]Designing with Data: A Case Study
    • [cs.HC]The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
    • [cs.IR]Learning to Ask: Question-based Sequential Bayesian Product Search
    • [cs.IT]A New Method for Employing Feedback to Improve Coding Performance
    • [cs.IT]Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals
    • [cs.IT]Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting
    • [cs.IT]Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes
    • [cs.IT]On exact asymptotics of the error probability in channel coding: symmetric channels
    • [cs.IT]The Communication Complexity of Set Intersection and Multiple Equality Testing
    • [cs.LG]Adversarial Training Methods for Network Embedding
    • [cs.LG]Autoregressive Text Generation Beyond Feedback Loops
    • [cs.LG]BooVAE: A scalable framework for continual VAE learning under boosting approach
    • [cs.LG]Consistency and Finite Sample Behavior of Binary Class Probability Estimation
    • [cs.LG]Credit Card Fraud Detection Using Autoencoder Neural Network
    • [cs.LG]Discovering Reliable Correlations in Categorical Data
    • [cs.LG]Graph Convolutional Networks for Road Networks
    • [cs.LG]Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking
    • [cs.LG]Implicit Deep Latent Variable Models for Text Generation
    • [cs.LG]Learning to Transfer Learn
    • [cs.LG]Partitioned integrators for thermodynamic parameterization of neural networks
    • [cs.LG]Rewarding High-Quality Data via Influence Functions
    • [cs.LG]Systematic Analysis of Image Generation using GANs
    • [cs.LG]TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
    • [cs.LG]Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
    • [cs.MM]Generating Persuasive Visual Storylines for Promotional Videos
    • [cs.RO]Inertial Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
    • [cs.SI]Fast Algorithms for Intimate-Core Group Search in Weighted Graphs
    • [cs.SI]Fast and Accurate Network Embeddings via Very Sparse Random Projection
    • [econ.EM]The economics of minority language use: theory and empirical evidence for a language game model
    • [econ.GN]Predicting Consumer Default: A Deep Learning Approach
    • [eess.AS]Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments
    • [eess.IV]Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
    • [eess.SP]Fast Scenario Reduction for Power Systems by Deep Learning
    • [physics.soc-ph]Efficient limited time reachability estimation in temporal networks
    • [physics.soc-ph]Field theory for recurrent mobility
    • [physics.soc-ph]Finding your feet: a Gaussian process model for estimating the abilities of batsmen in Test cricket
    • [physics.soc-ph]Making Communities Show Respect for Order
    • [physics.soc-ph]Seasonal payoff variations and the evolution of cooperation in social dilemmas
    • [q-fin.MF]Growth Dynamics of Value and Cost Trade-off in Competitive Temporal Networks
    • [quant-ph]Classifying single-qubit noise using machine learning
    • [quant-ph]Quantum Distributed Algorithm for Triangle Finding in the CONGEST Model
    • [stat.AP]FFORMPP: Feature-based forecast model performance prediction
    • [stat.CO]Composite likelihood methods for histogram-valued random variables
    • [stat.CO]On the robustness of gradient-based MCMC algorithms
    • [stat.ME]A robust approach for testing parameter change in Poisson autoregressive models
    • [stat.ME]Nodewise Knockoffs: False Discovery Rate Control for Gaussian Graphical Models
    • [stat.ME]Robust Function-on-Function Regression
    • [stat.ME]Sparse, Low-bias, and Scalable Estimation of High Dimensional Vector Autoregressive Models via Union of Intersections
    • [stat.ML]Machine Learning and the Internet of Things Enable Steam Flood Optimization for Improved Oil Production
    • [stat.ML]Network Elastic Net for Identifying Smoking specific gene expression for lung cancer

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

    • [astro-ph.IM]Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
    Niccolò Dalmasso, Taylor Pospisil, Ann B. Lee, Rafael Izbicki, Peter E. Freeman, Alex I. Malz
    http://arxiv.org/abs/1908.11523v1

    • [cond-mat.stat-mech]Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes
    P. M. Riechers, J. P. Crutchfield
    http://arxiv.org/abs/1908.11405v1

    • [cs.AI]Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
    Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu
    http://arxiv.org/abs/1908.11513v1

    • [cs.AI]High efficiency rl agent
    Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu
    http://arxiv.org/abs/1908.11494v1

    • [cs.AI]Latent Part-of-Speech Sequences for Neural Machine Translation
    Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian
    http://arxiv.org/abs/1908.11782v1

    • [cs.CL]Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
    Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl
    http://arxiv.org/abs/1908.11860v1

    • [cs.CL]Answering Conversational Questions on Structured Data without Logical Forms
    Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, Yasemin Altun
    http://arxiv.org/abs/1908.11787v1

    • [cs.CL]Charge-Based Prison Term Prediction with Deep Gating Network
    Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding
    http://arxiv.org/abs/1908.11521v1

    • [cs.CL]Classifying topics in speech when all you have is crummy translations
    Sameer Bansal, Herman Kamper, Adam Lopez, Sharon Goldwater
    http://arxiv.org/abs/1908.11425v1

    • [cs.CL]CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums
    Ella Rabinovich, Masih Sultani, Suzanne Stevenson
    http://arxiv.org/abs/1908.11841v1

    • [cs.CL]Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
    Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu
    http://arxiv.org/abs/1908.11610v1

    • [cs.CL]DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
    Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
    http://arxiv.org/abs/1908.11511v1

    • [cs.CL]Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
    Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu
    http://arxiv.org/abs/1908.11561v1

    • [cs.CL]Detecting and Reducing Bias in a High Stakes Domain
    Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown
    http://arxiv.org/abs/1908.11474v1

    • [cs.CL]Dialog Intent Induction with Deep Multi-View Clustering
    Hugh Perkins, Yi Yang
    http://arxiv.org/abs/1908.11487v1

    • [cs.CL]DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
    Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh
    http://arxiv.org/abs/1908.11540v1

    • [cs.CL]Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
    Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy
    http://arxiv.org/abs/1908.11723v1

    • [cs.CL]Encoders Help You Disambiguate Word Senses in Neural Machine Translation
    Gongbo Tang, Rico Sennrich, Joakim Nivre
    http://arxiv.org/abs/1908.11771v1

    • [cs.CL]Exploring Domain Shift in Extractive Text Summarization
    Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/1908.11664v1

    • [cs.CL]Fact-Checking Meets Fauxtography: Verifying Claims About Images
    Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev
    http://arxiv.org/abs/1908.11722v1

    • [cs.CL]Feature2Vec: Distributional semantic modelling of human property knowledge
    Steven Derby, Paul Miller, Barry Devereux
    http://arxiv.org/abs/1908.11439v1

    • [cs.CL]Hierarchical Pointer Net Parsing
    Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing
    http://arxiv.org/abs/1908.11571v1

    • [cs.CL]Learning to Infer Entities, Properties and their Relations from Clinical Conversations
    Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran
    http://arxiv.org/abs/1908.11536v1

    • [cs.CL]Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
    Dongyeop Kang, Hiroaki Hayashi, Alan W Black, Eduard Hovy
    http://arxiv.org/abs/1908.11790v1

    • [cs.CL]Modeling Multi-Action Policy for Task-Oriented Dialogues
    Lei Shu, Hu Xu, Bing Liu, Piero Molino
    http://arxiv.org/abs/1908.11546v1

    • [cs.CL]Multi-Task Learning with Language Modeling for Question Generation
    Wenjie Zhou, Minghua Zhang, Yunfang Wu
    http://arxiv.org/abs/1908.11813v1

    • [cs.CL]NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline
    Anna Rogers, Gregory Smelkov, Anna Rumshisky
    http://arxiv.org/abs/1908.11443v1

    • [cs.CL]On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction
    Anton Batliner, Stefan Steidl, Florian Eyben, Björn Schuller
    http://arxiv.org/abs/1908.11593v1

    • [cs.CL]Online influence, offline violence: Linguistic responses to the ‘Unite the Right’ rally
    Isabelle van der Vegt, Maximilian Mozes, Paul Gill, Bennett Kleinberg
    http://arxiv.org/abs/1908.11599v1

    • [cs.CL]PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
    Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge
    http://arxiv.org/abs/1908.11828v1

    • [cs.CL]Parsing All: Syntax and Semantics, Dependencies and Spans
    Junru Zhou, Zuchao Li, Hai Zhao
    http://arxiv.org/abs/1908.11522v1

    • [cs.CR]Agent-based Simulation of Blockchains
    Edoardo Rosa, Gabriele D’Angelo, Stefano Ferretti
    http://arxiv.org/abs/1908.11811v1

    • [cs.CR]IoT based Smart Access Controlled Secure Smart City Architecture Using Blockchain
    Rourab Paul, Nimisha Ghosh, Suman Sau, Amlan Chakrabarti, Prasant Mahaoatra
    http://arxiv.org/abs/1908.11538v1

    • [cs.CR]On the Ethereum Blockchain Structure: a Complex Networks Theory Perspective
    Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/1908.11808v1

    • [cs.CR]Practical and Robust Privacy Amplification with Multi-Party Differential Privacy
    Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha
    http://arxiv.org/abs/1908.11515v1

    • [cs.CR]Social Engineering in a Post-Phishing Era: Ambient Tactical Deception Attacks
    Filipo Sharevski, Paige Treebridge, Peter Jachim, Audrey Li, Adam Babin, Jessica Westbrook
    http://arxiv.org/abs/1908.11752v1

    • [cs.CR]StairDag: Cross-DAG Validation For Scalable BFT Consensus
    Quan Nguyen, Andre Cronje, Michael Kong, Alex Kampa, George Samman
    http://arxiv.org/abs/1908.11810v1

    • [cs.CV]Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition
    Shangbang Long, Yushuo Guan, Bingxuan Wang, Kaigui Bian, Cong Yao
    http://arxiv.org/abs/1908.11834v1

    • [cs.CV]Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques
    Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim, Younghak Shin
    http://arxiv.org/abs/1908.11528v1

    • [cs.CV]Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
    Lironne Kurzman, David Vazquez, Issam Laradji
    http://arxiv.org/abs/1908.11525v1

    • [cs.CV]Copy-and-Paste Networks for Deep Video Inpainting
    Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim
    http://arxiv.org/abs/1908.11587v1

    • [cs.CV]Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
    Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
    http://arxiv.org/abs/1908.11799v1

    • [cs.CV]Domain Intersection and Domain Difference
    Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
    http://arxiv.org/abs/1908.11628v1

    • [cs.CV]Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
    Lei Jiang Xiao-Jun Wu Josef Kittler
    http://arxiv.org/abs/1908.11821v1

    • [cs.CV]EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators
    Lukas Cavigelli, Georg Rutishauser, Luca Benini
    http://arxiv.org/abs/1908.11645v1

    • [cs.CV]EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera
    Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, Christian Theobalt
    http://arxiv.org/abs/1908.11505v1

    • [cs.CV]Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
    Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang
    http://arxiv.org/abs/1908.11754v1

    • [cs.CV]FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving
    Marie Yahiaoui, Hazem Rashed, Letizia Mariotti, Ganesh Sistu, Ian Clancy, Lucie Yahiaoui, Varun Ravi Kumar, Senthil Yogamani
    http://arxiv.org/abs/1908.11789v1

    • [cs.CV]LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net
    Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
    http://arxiv.org/abs/1908.11656v1

    • [cs.CV]Learning Rich Representations For Structured Visual Prediction Tasks
    Mohammadreza Mostajabi
    http://arxiv.org/abs/1908.11820v1

    • [cs.CV]MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry
    Yuchao Dai, Zhidong Zhu, Zhibo Rao, Bo Li
    http://arxiv.org/abs/1908.11526v1

    • [cs.CV]Motion Capture from Pan-Tilt Cameras with Unknown Orientation
    Roman Bachmann, Jörg Spörri, Pascal Fua, Helge Rhodin
    http://arxiv.org/abs/1908.11676v1

    • [cs.CV]Multi-Grained Spatio-temporal Modeling for Lip-reading
    Chenhao Wang
    http://arxiv.org/abs/1908.11618v1

    • [cs.CV]Multi-Modal Fusion for End-to-End RGB-T Tracking
    Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
    http://arxiv.org/abs/1908.11714v1

    • [cs.CV]Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features
    Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin
    http://arxiv.org/abs/1908.11822v1

    • [cs.CV]ORBSLAM-Atlas: a robust and accurate multi-map system
    Richard Elvira, Juan D. Tardós, J. M. M. Montiel
    http://arxiv.org/abs/1908.11585v1

    • [cs.CV]Recursive Visual Sound Separation Using Minus-Plus Net
    Xudong Xu, Bo Dai, Dahua Lin
    http://arxiv.org/abs/1908.11602v1

    • [cs.CV]Reflective Decoding Network for Image Captioning
    Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai
    http://arxiv.org/abs/1908.11824v1

    • [cs.CV]Revisiting CycleGAN for semi-supervised segmentation
    Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers
    http://arxiv.org/abs/1908.11569v1

    • [cs.CV]Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
    Bo Chen, Jiewei Cao, Alvaro Parra, Tat-Jun Chin
    http://arxiv.org/abs/1908.11542v1

    • [cs.CV]Semi-supervised Learning of Fetal Anatomy from Ultrasound
    Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
    http://arxiv.org/abs/1908.11624v1

    • [cs.CV]Small Obstacle Avoidance Based on RGB-D Semantic Segmentation
    Minjie Hua, Yibing Nan, Shiguo Lian
    http://arxiv.org/abs/1908.11675v1

    • [cs.CV]Temporal Coherence for Active Learning in Videos
    Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan Raducanu, Hamed H. Aghdam, Mikhail Mozerov, Antonio M. Lopez, Joost van de Weijer
    http://arxiv.org/abs/1908.11757v1

    • [cs.CY]A Study of Cyber Hate on Twitter with Implications for Social Media Governance Strategies
    Rob Procter, Helena Webb, Marina Jirotka, Pete Burnap, William Housley, Adam Edwards, Matt Williams
    http://arxiv.org/abs/1908.11732v1

    • [cs.CY]Introducing: The Game Jam License
    Gorm Lai, Kai Erenli, Foaad Khosmood, William Latham
    http://arxiv.org/abs/1908.11459v1

    • [cs.CY]Optimal Legislative County Clustering in North Carolina
    Daniel Carter, Zach Hunter, Dan Teague, Gregory Herschlag, Jonathan Mattingly
    http://arxiv.org/abs/1908.11801v1

    • [cs.DB]Parallel In-Memory Evaluation of Spatial Joins
    Dimitrios Tsitsigkos, Panagiotis Bouros, Nikos Mamoulis, Manolis Terrovitis
    http://arxiv.org/abs/1908.11740v1

    • [cs.DC]Comparative study of performance of parallel Alpha Beta Pruning for different architectures
    Shubhendra Pal Singhal, M. Sridevi
    http://arxiv.org/abs/1908.11660v1

    • [cs.DC]High Performance Scalable FPGA Accelerator for Deep Neural Networks
    Sudarshan Srinivasan, Pradeep Janedula, Saurabh Dhoble, Sasikanth Avancha, Dipankar Das, Naveen Mellempudi, Bharat Daga, Martin Langhammer, Gregg Baeckler, Bharat Kaul
    http://arxiv.org/abs/1908.11809v1

    • [cs.DC]Internet-based Adaptive Distributed Simulation of Mobile Ad-hoc Networks
    Gabriele D’Angelo, Stefano Ferretti, Gary S. H. Tan
    http://arxiv.org/abs/1908.11551v1

    • [cs.DC]Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
    Manoj Muniswamaiah, Dr. Charles Tappert
    http://arxiv.org/abs/1908.11501v1

    • [cs.DS]Want to Gather? No Need to Chatter!
    Sébastien Bouchard, Yoann Dieudonné, Andrzej Pelc
    http://arxiv.org/abs/1908.11402v1

    • [cs.ET]A Machine Learning Accelerator In-Memory for Energy Harvesting
    Salonik Resch, S. Karen Khatamifard, Zamshed Iqbal Chowdhury, Masoud Zabihi, Zhengyang Zhao, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu
    http://arxiv.org/abs/1908.11373v1

    • [cs.ET]An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
    Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang
    http://arxiv.org/abs/1908.11691v1

    • [cs.HC]A Survey of Automated Programming Hint Generation — The HINTS Framework
    Jessica McBroom, Irena Koprinska, Kalina Yacef
    http://arxiv.org/abs/1908.11566v1

    • [cs.HC]Designing with Data: A Case Study
    Teresa Castle-Green, Stuart Reeves, Joel E. Fischer, Boriana Koleva
    http://arxiv.org/abs/1908.11614v1

    • [cs.HC]The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
    Pablo Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter
    http://arxiv.org/abs/1908.11706v1

    • [cs.IR]Learning to Ask: Question-based Sequential Bayesian Product Search
    Jie Zou, Evangelos Kanoulas
    http://arxiv.org/abs/1908.11733v1

    • [cs.IT]A New Method for Employing Feedback to Improve Coding Performance
    Aaron B. Wagner, Nirmal V. Shende, Yücel Altuğ
    http://arxiv.org/abs/1908.11428v1

    • [cs.IT]Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals
    Xiaoyu Zhao, Wei Chen, Joohyun Lee, Ness B. Shroff
    http://arxiv.org/abs/1908.11797v1

    • [cs.IT]Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting
    Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Wei Wang, Alister G. Burr, Zhiguo Ding, Octavia A. Dobre
    http://arxiv.org/abs/1908.11608v1

    • [cs.IT]Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes
    Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
    http://arxiv.org/abs/1908.11726v1

    • [cs.IT]On exact asymptotics of the error probability in channel coding: symmetric channels
    Yücel Altuğ, Aaron B. Wagner
    http://arxiv.org/abs/1908.11419v1

    • [cs.IT]The Communication Complexity of Set Intersection and Multiple Equality Testing
    Dawei Huang, Seth Pettie, Yixiang Zhang, Zhijun Zhang
    http://arxiv.org/abs/1908.11825v1

    • [cs.LG]Adversarial Training Methods for Network Embedding
    Quanyu Dai, Xiao Shen, Liang Zhang, Qiang Li, Dan Wang
    http://arxiv.org/abs/1908.11514v1

    • [cs.LG]Autoregressive Text Generation Beyond Feedback Loops
    Florian Schmidt, Stephan Mandt, Thomas Hofmann
    http://arxiv.org/abs/1908.11658v1

    • [cs.LG]BooVAE: A scalable framework for continual VAE learning under boosting approach
    Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
    http://arxiv.org/abs/1908.11853v1

    • [cs.LG]Consistency and Finite Sample Behavior of Binary Class Probability Estimation
    Alexander Mey, Marco Loog
    http://arxiv.org/abs/1908.11823v1

    • [cs.LG]Credit Card Fraud Detection Using Autoencoder Neural Network
    Junyi Zou, Jinliang Zhang, Ping Jiang
    http://arxiv.org/abs/1908.11553v1

    • [cs.LG]Discovering Reliable Correlations in Categorical Data
    Panagiotis Mandros, Mario Boley, Jilles Vreeken
    http://arxiv.org/abs/1908.11682v1

    • [cs.LG]Graph Convolutional Networks for Road Networks
    Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
    http://arxiv.org/abs/1908.11567v1

    • [cs.LG]Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking
    Junyi Zou, Jinliang Zhang, Ludi Wang
    http://arxiv.org/abs/1908.11550v1

    • [cs.LG]Implicit Deep Latent Variable Models for Text Generation
    Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
    http://arxiv.org/abs/1908.11527v1

    • [cs.LG]Learning to Transfer Learn
    Linchao Zhu, Sercan O. Arik, Yi Yang, Tomas Pfister
    http://arxiv.org/abs/1908.11406v1

    • [cs.LG]Partitioned integrators for thermodynamic parameterization of neural networks
    Benedict Leimkuhler, Charles Matthews, Tiffany Vlaar
    http://arxiv.org/abs/1908.11843v1

    • [cs.LG]Rewarding High-Quality Data via Influence Functions
    Adam Richardson, Aris Filos-Ratsikas, Boi Faltings
    http://arxiv.org/abs/1908.11598v1

    • [cs.LG]Systematic Analysis of Image Generation using GANs
    Rohan Akut, Sumukh Marathe, Rucha Apte, Ishan Joshi, Siddhivinayak Kulkarni
    http://arxiv.org/abs/1908.11863v1

    • [cs.LG]TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning
    Chenrui Zhang, Xiaoqing Lyu, Zhi Tang
    http://arxiv.org/abs/1908.11503v1

    • [cs.LG]Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
    Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
    http://arxiv.org/abs/1908.11775v1

    • [cs.MM]Generating Persuasive Visual Storylines for Promotional Videos
    Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
    http://arxiv.org/abs/1908.11588v1

    • [cs.RO]Inertial Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
    Jean Mercat, Nicole El Zoghby, Guillaume Sandou, Dominique Beauvois, Guillermo Pita Gil
    http://arxiv.org/abs/1908.11472v1

    • [cs.SI]Fast Algorithms for Intimate-Core Group Search in Weighted Graphs
    Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu
    http://arxiv.org/abs/1908.11788v1

    • [cs.SI]Fast and Accurate Network Embeddings via Very Sparse Random Projection
    Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena
    http://arxiv.org/abs/1908.11512v1

    • [econ.EM]The economics of minority language use: theory and empirical evidence for a language game model
    Stefan Sperlich, Jose-Ramon Uriarte
    http://arxiv.org/abs/1908.11604v1

    • [econ.GN]Predicting Consumer Default: A Deep Learning Approach
    Stefania Albanesi, Domonkos F. Vamossy
    http://arxiv.org/abs/1908.11498v1

    • [eess.AS]Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments
    Yusuke Yasuda, Xin Wang, Junichi Yamagishi
    http://arxiv.org/abs/1908.11535v1

    • [eess.IV]Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
    Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra
    http://arxiv.org/abs/1908.11506v1

    • [eess.SP]Fast Scenario Reduction for Power Systems by Deep Learning
    Qiao Li, David Wenzhong Gao
    http://arxiv.org/abs/1908.11486v1

    • [physics.soc-ph]Efficient limited time reachability estimation in temporal networks
    Arash Badie Modiri, Márton Karsai, Mikko Kivelä
    http://arxiv.org/abs/1908.11831v1

    • [physics.soc-ph]Field theory for recurrent mobility
    Mattia Mazzoli, Alex Molas, Aleix Bassolas, Maxime Lenormand, Pere Colet, Jose J. Ramasco
    http://arxiv.org/abs/1908.11814v1

    • [physics.soc-ph]Finding your feet: a Gaussian process model for estimating the abilities of batsmen in Test cricket
    Oliver George Stevenson, Brendon James Brewer
    http://arxiv.org/abs/1908.11490v1

    • [physics.soc-ph]Making Communities Show Respect for Order
    Vaiva Vasiliauskaite, Tim S. Evans
    http://arxiv.org/abs/1908.11818v1

    • [physics.soc-ph]Seasonal payoff variations and the evolution of cooperation in social dilemmas
    Attila Szolnoki, Matjaz Perc
    http://arxiv.org/abs/1908.11805v1

    • [q-fin.MF]Growth Dynamics of Value and Cost Trade-off in Competitive Temporal Networks
    Sheida Hasani, Razieh Masoomi, Jamshid Ardalankia, Mohammadbashir Sedighi, Hamid Jafari
    http://arxiv.org/abs/1908.11433v1

    • [quant-ph]Classifying single-qubit noise using machine learning
    Travis L. Scholten, Yi-Kai Liu, Kevin Young, Robin Blume-Kohout
    http://arxiv.org/abs/1908.11762v1

    • [quant-ph]Quantum Distributed Algorithm for Triangle Finding in the CONGEST Model
    Taisuke Izumi, François Le Gall, Frédéric Magniez
    http://arxiv.org/abs/1908.11488v1

    • [stat.AP]FFORMPP: Feature-based forecast model performance prediction
    Thiyanga S. Talagala, Feng Li, Yanfei Kang
    http://arxiv.org/abs/1908.11500v1

    • [stat.CO]Composite likelihood methods for histogram-valued random variables
    Thomas Whitaker, Boris Beranger, Scott A. Sisson
    http://arxiv.org/abs/1908.11548v1

    • [stat.CO]On the robustness of gradient-based MCMC algorithms
    Samuel Livingstone, Giacomo Zanella
    http://arxiv.org/abs/1908.11812v1

    • [stat.ME]A robust approach for testing parameter change in Poisson autoregressive models
    Jiwon Kang, Junmo Song
    http://arxiv.org/abs/1908.11466v1

    • [stat.ME]Nodewise Knockoffs: False Discovery Rate Control for Gaussian Graphical Models
    Jinzhou Li, Marloes H. Maathuis
    http://arxiv.org/abs/1908.11611v1

    • [stat.ME]Robust Function-on-Function Regression
    Harjit Hullait, David S. Leslie, Nicos G. Pavlidis, Steve King
    http://arxiv.org/abs/1908.11601v1

    • [stat.ME]Sparse, Low-bias, and Scalable Estimation of High Dimensional Vector Autoregressive Models via Union of Intersections
    Trevor Ruiz, Mahesh Balasubramanian, Kristofer E. Bouchard, Sharmodeep Bhattacharyya
    http://arxiv.org/abs/1908.11464v1

    • [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/1908.11319v2

    • [stat.ML]Network Elastic Net for Identifying Smoking specific gene expression for lung cancer
    Avinash Barnwal
    http://arxiv.org/abs/1908.11833v1