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今日学术视野(2019.1.11)

今日学术视野(2019.1.11)

作者: ZQtGe6 | 来源:发表于2019-01-11 04:54 被阅读254次

    astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.SD - 声音处理
    eess.IV - 图像与视频处理
    math.DS - 动力系统
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.comp-ph - 计算物理学
    physics.soc-ph - 物理学与社会
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]Asteroids Detection Technique: Classic "Blink" An Automated Approch
    • [astro-ph.IM]NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images
    • [cs.AI]Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection
    • [cs.AI]High Fidelity Vector Space Models of Structured Data
    • [cs.AI]Robust and Adaptive Planning under Model Uncertainty
    • [cs.CL]Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
    • [cs.CL]Computational Register Analysis and Synthesis
    • [cs.CL]Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
    • [cs.CL]On the Capabilities and Limitations of Reasoning for Natural Language Understanding
    • [cs.CL]Sentiment Analysis of Czech Texts: An Algorithmic Survey
    • [cs.CL]Sequential Attention-based Network for Noetic End-to-End Response Selection
    • [cs.CL]Supervised Transfer Learning for Product Information Question Answering
    • [cs.CL]Team Papelo: Transformer Networks at FEVER
    • [cs.CL]What do Language Representations Really Represent?
    • [cs.CR]Cyber Security Awareness Campaigns: Why do they fail to change behaviour?
    • [cs.CV]A Spatial-temporal 3D Human Pose Reconstruction Framework
    • [cs.CV]Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset
    • [cs.CV]Collaborative Execution of Deep Neural Networks on Internet of Things Devices
    • [cs.CV]D{}^3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
    • [cs.CV]Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval
    • [cs.CV]Face Recognition System
    • [cs.CV]Fast 3D Line Segment Detection From Unorganized Point Cloud
    • [cs.CV]GIF2Video: Color Dequantization and Temporal Interpolation of GIF images
    • [cs.CV]Grey matter sublayer thickness estimation in themouse cerebellum
    • [cs.CV]Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
    • [cs.CV]Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network
    • [cs.CV]Interactive Image Segmentation using Label Propagation through Complex Networks
    • [cs.CV]Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
    • [cs.CV]Learning to Infer and Execute 3D Shape Programs
    • [cs.CV]Low-Cost Transfer Learning of Face Tasks
    • [cs.CV]MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
    • [cs.CV]MSR: Multi-Scale Shape Regression for Scene Text Detection
    • [cs.CV]Manipulation-skill Assessment from Videos with Spatial Attention Network
    • [cs.CV]Multi-stream CNN based Video Semantic Segmentation for Automated Driving
    • [cs.CV]Neural Inverse Rendering of an Indoor Scene from a Single Image
    • [cs.CV]Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
    • [cs.CV]The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection
    • [cs.CV]The Use of Mutual Coherence to Prove \ell^1/\ell^0-Equivalence in Classification Problems
    • [cs.CV]Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
    • [cs.CV]Viewpoint Invariant Change Captioning
    • [cs.CY]Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities
    • [cs.CY]Hourly Forecasting of Emergency Department Arrivals : Time Series Analysis
    • [cs.CY]New approach for a stable multi-criteria ridesharing system
    • [cs.CY]Problem Formulation and Fairness
    • [cs.DC]BS-assisted Task Offloading for D2D Networks with Presence of User Mobility
    • [cs.DC]Consensus Mechanism Design based on Structured Directed Acyclic Graphs
    • [cs.DC]Improving In-Network Computing in IoT Through Degeneracy
    • [cs.DC]Interim Report on Adaptive Event Dispatching in Serverless Computing Infrastructures
    • [cs.DC]On Optimal Proactive and Retention-Aware Caching with User Mobility
    • [cs.GR]An Application of Manifold Learning in Global Shape Descriptors
    • [cs.HC]SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
    • [cs.IR]Change Detection and Notification of Webpages: A Survey
    • [cs.IT]A Deterministic Algorithm for the Capacity of Finite-State Channels
    • [cs.IT]Codes for Updating Linear Functions over Small Fields
    • [cs.IT]Cognitive UAV Communication via Joint Maneuver and Power Control
    • [cs.IT]Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport
    • [cs.IT]Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties
    • [cs.IT]Maximally Recoverable Codes with Hierarchical Locality
    • [cs.IT]On Secure Network Coding for Multiple Unicast Traffic
    • [cs.IT]On the Benefits of Waiting in Status Update Systems
    • [cs.IT]Secure list decoding
    • [cs.IT]Segmentation-Discarding Ordered-Statistic Decoding for Linear Block Codes
    • [cs.IT]Simple Codes and Sparse Recovery with Fast Decoding
    • [cs.LG]A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
    • [cs.LG]A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings
    • [cs.LG]Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences
    • [cs.LG]Bilinear Bandits with Low-rank Structure
    • [cs.LG]Deep Neural Networks Predicting Oil Movement in a Development Unit
    • [cs.LG]Dirichlet Variational Autoencoder
    • [cs.LG]How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
    • [cs.LG]Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
    • [cs.LG]On Relativistic f-Divergences
    • [cs.LG]Transfer Representation Learning with TSK Fuzzy System
    • [cs.LG]Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
    • [cs.LG]UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
    • [cs.LG]Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions
    • [cs.NE]Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
    • [cs.SD]Presence-absence estimation in audio recordings of tropical frog communities
    • [eess.IV]Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images
    • [eess.IV]Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation
    • [eess.IV]Selective metamorphosis for growth modelling with applications to landmarks
    • [math.DS]Dynamical systems in wireless communications: The road less traveled by
    • [math.OC]Stochastic stabilization of dynamical systems over communication channels
    • [math.OC]The Lingering of Gradients: How to Reuse Gradients over Time
    • [math.ST]Efficient Minimum Distance Estimation of Pareto Exponent from Top Income Shares
    • [math.ST]Tests for validity of the semiparametric heteroskedastic transformation model
    • [physics.comp-ph]Performance Analysis and Dynamic Evolution of Deep Convolutional Neural Network for Nonlinear Inverse Scattering
    • [physics.soc-ph]Analytic evaluation of the small-world effect on a model approaching the Erdős-Rényi random graph
    • [physics.soc-ph]Coevolution spreading in complex networks
    • [stat.AP]A Potential Outcomes Approach to Answer Reviewing in Multiple-Choice Exams
    • [stat.AP]Estimating Global Household Air Pollution: A Multivariate Hierarchical Model for Cooking Fuel Prevalence
    • [stat.AP]Modelling ocean temperatures from bio-probes under preferential sampling
    • [stat.ME]Causal mediation analysis for stochastic interventions
    • [stat.ME]The Universal model and prior: multinomial GLMs
    • [stat.ML]Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions

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

    • [astro-ph.IM]Asteroids Detection Technique: Classic "Blink" An Automated Approch
    D. Copandean, C. Nandra, D. Gorgan, O. Vaduvescu
    http://arxiv.org/abs/1901.02542v1

    • [astro-ph.IM]NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images
    T. Stefanut, V. Bacu, C. Nandra, D. Balasz, D. Gorgan, O. Vaduvescu
    http://arxiv.org/abs/1901.02545v1

    • [cs.AI]Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection
    Lucas Oliveira Batista, Gabriel Adriano de Silva, Vanessa Souza Araújo, Vinícius Jonathan Silva Araújo, Thiago Silva Rezende, Augusto Junio Guimarães, Paulo Vitor de Campos Souza
    http://arxiv.org/abs/1901.02868v1

    • [cs.AI]High Fidelity Vector Space Models of Structured Data
    Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth Forbus, Michael Witbrock
    http://arxiv.org/abs/1901.02565v1

    • [cs.AI]Robust and Adaptive Planning under Model Uncertainty
    Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone
    http://arxiv.org/abs/1901.02577v1

    • [cs.CL]Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems
    Victor Makarenkov, Lior Rokach, Bracha Shapira
    http://arxiv.org/abs/1901.02490v1

    • [cs.CL]Computational Register Analysis and Synthesis
    Shlomo Engelson Argamon
    http://arxiv.org/abs/1901.02543v1

    • [cs.CL]Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
    Steffen Eger, Paul Youssef, Iryna Gurevych
    http://arxiv.org/abs/1901.02671v1

    • [cs.CL]On the Capabilities and Limitations of Reasoning for Natural Language Understanding
    Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth
    http://arxiv.org/abs/1901.02522v1

    • [cs.CL]Sentiment Analysis of Czech Texts: An Algorithmic Survey
    Erion Çano, Ondřej Bojar
    http://arxiv.org/abs/1901.02780v1

    • [cs.CL]Sequential Attention-based Network for Noetic End-to-End Response Selection
    Qian Chen, Wen Wang
    http://arxiv.org/abs/1901.02609v1

    • [cs.CL]Supervised Transfer Learning for Product Information Question Answering
    Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li
    http://arxiv.org/abs/1901.02539v1

    • [cs.CL]Team Papelo: Transformer Networks at FEVER
    Christopher Malon
    http://arxiv.org/abs/1901.02534v1

    • [cs.CL]What do Language Representations Really Represent?
    Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
    http://arxiv.org/abs/1901.02646v1

    • [cs.CR]Cyber Security Awareness Campaigns: Why do they fail to change behaviour?
    Maria Bada, Angela M. Sasse, Jason R. C. Nurse
    http://arxiv.org/abs/1901.02672v1

    • [cs.CV]A Spatial-temporal 3D Human Pose Reconstruction Framework
    Xuan Thanh Nguyen, Thi Duyen Ngo, Thanh Ha Le
    http://arxiv.org/abs/1901.02529v1

    • [cs.CV]Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset
    Mirco Moencks, Varuna De Silva, Jamie Roche, Ahmet Kondoz
    http://arxiv.org/abs/1901.02858v1

    • [cs.CV]Collaborative Execution of Deep Neural Networks on Internet of Things Devices
    Ramyad Hadidi, Jiashen Cao, Micheal S. Ryoo, Hyesoon Kim
    http://arxiv.org/abs/1901.02537v1

    • [cs.CV]D{}^3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
    Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles
    http://arxiv.org/abs/1901.02598v1

    • [cs.CV]Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval
    Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao
    http://arxiv.org/abs/1901.02662v1

    • [cs.CV]Face Recognition System
    Yang Li, Sangwhan Cha
    http://arxiv.org/abs/1901.02452v1

    • [cs.CV]Fast 3D Line Segment Detection From Unorganized Point Cloud
    Xiaohu Lu, Yahui Liu, Kai Li
    http://arxiv.org/abs/1901.02532v1

    • [cs.CV]GIF2Video: Color Dequantization and Temporal Interpolation of GIF images
    Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai
    http://arxiv.org/abs/1901.02840v1

    • [cs.CV]Grey matter sublayer thickness estimation in themouse cerebellum
    Da Ma, Manuel J. Cardoso, Maria A. Zuluaga, Marc Modat, Nick. Powell, Frances Wiseman, Victor Tybulewicz, Elizabeth Fisher, Mark. F. Lythgoe, Sebastien Ourselin
    http://arxiv.org/abs/1901.02499v1

    • [cs.CV]Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
    Agnese Chiatti, Dolzodmaa Davaasuren, Nilam Ram, Prasenjit Mitra
    http://arxiv.org/abs/1901.02701v1

    • [cs.CV]Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network
    Xiaoxiao Sun, Shaomin Mu, Yongyu Xu, Zhihao Cao, Tingting Su
    http://arxiv.org/abs/1901.02694v1

    • [cs.CV]Interactive Image Segmentation using Label Propagation through Complex Networks
    Fabricio Aparecido Breve
    http://arxiv.org/abs/1901.02573v1

    • [cs.CV]Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
    Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu
    http://arxiv.org/abs/1901.02838v1

    • [cs.CV]Learning to Infer and Execute 3D Shape Programs
    Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
    http://arxiv.org/abs/1901.02875v1

    • [cs.CV]Low-Cost Transfer Learning of Face Tasks
    Thrupthi Ann John, Isha Dua, Vineeth N Balasubramanian, C. V. Jawahar
    http://arxiv.org/abs/1901.02675v1

    • [cs.CV]MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
    Zheng Tang, Jenq-Neng Hwang
    http://arxiv.org/abs/1901.02626v1

    • [cs.CV]MSR: Multi-Scale Shape Regression for Scene Text Detection
    Chuhui Xue, Shijian Lu, Wei Zhang
    http://arxiv.org/abs/1901.02596v1

    • [cs.CV]Manipulation-skill Assessment from Videos with Spatial Attention Network
    Zhenqiang Li, Yifei Huang, Minjie Cai, Yoichi Sato
    http://arxiv.org/abs/1901.02579v1

    • [cs.CV]Multi-stream CNN based Video Semantic Segmentation for Automated Driving
    Ganesh Sistu, Sumanth Chennupati, Senthil Yogamani
    http://arxiv.org/abs/1901.02511v1

    • [cs.CV]Neural Inverse Rendering of an Indoor Scene from a Single Image
    Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz
    http://arxiv.org/abs/1901.02453v1

    • [cs.CV]Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
    Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
    http://arxiv.org/abs/1901.02571v1

    • [cs.CV]The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection
    Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang
    http://arxiv.org/abs/1901.02645v1

    • [cs.CV]The Use of Mutual Coherence to Prove \ell^1/\ell^0-Equivalence in Classification Problems
    Chelsea Weaver, Naoki Saito
    http://arxiv.org/abs/1901.02783v1

    • [cs.CV]Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
    Aron Yu, Kristen Grauman
    http://arxiv.org/abs/1901.02551v1

    • [cs.CV]Viewpoint Invariant Change Captioning
    Dong Huk Park, Trevor Darrell, Anna Rohrbach
    http://arxiv.org/abs/1901.02527v1

    • [cs.CY]Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities
    Yanling Chang, Eleftherios Iakovou, Weidong Shi4
    http://arxiv.org/abs/1901.02715v1

    • [cs.CY]Hourly Forecasting of Emergency Department Arrivals : Time Series Analysis
    Avishek Choudhury
    http://arxiv.org/abs/1901.02714v1

    • [cs.CY]New approach for a stable multi-criteria ridesharing system
    Sawsen Ben Nasr
    http://arxiv.org/abs/1901.02510v1

    • [cs.CY]Problem Formulation and Fairness
    Samir Passi, Solon Barocas
    http://arxiv.org/abs/1901.02547v1

    • [cs.DC]BS-assisted Task Offloading for D2D Networks with Presence of User Mobility
    Ghafour Ahani, Di Yuan
    http://arxiv.org/abs/1901.02745v1

    • [cs.DC]Consensus Mechanism Design based on Structured Directed Acyclic Graphs
    Jiahao He, Guangju Wang, Guangyuan Zhang, Jiheng Zhang
    http://arxiv.org/abs/1901.02755v1

    • [cs.DC]Improving In-Network Computing in IoT Through Degeneracy
    Merim Dzaferagic, Neal McBride, Ryan Thomas, Nicola Marchetti, Irene Macaluso
    http://arxiv.org/abs/1901.02712v1

    • [cs.DC]Interim Report on Adaptive Event Dispatching in Serverless Computing Infrastructures
    Manuel Stein
    http://arxiv.org/abs/1901.02680v1

    • [cs.DC]On Optimal Proactive and Retention-Aware Caching with User Mobility
    Ghafour Ahani, Di Yuan
    http://arxiv.org/abs/1901.02750v1

    • [cs.GR]An Application of Manifold Learning in Global Shape Descriptors
    Fereshteh S. Bashiri, Reihaneh Rostami, Peggy Peissig, Roshan M. D'Souza, Zeyun Yu
    http://arxiv.org/abs/1901.02508v1

    • [cs.HC]SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
    Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Bjorn Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
    http://arxiv.org/abs/1901.02839v1

    • [cs.IR]Change Detection and Notification of Webpages: A Survey
    Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Alwis, Eranga Nimalarathna, Dulani Meedeniya, Sampath Jayarathna
    http://arxiv.org/abs/1901.02660v1

    • [cs.IT]A Deterministic Algorithm for the Capacity of Finite-State Channels
    Chengyu Wu, Guangyue Han, Brian Marcus
    http://arxiv.org/abs/1901.02678v1

    • [cs.IT]Codes for Updating Linear Functions over Small Fields
    Suman Ghosh, Lakshmi Natarajan
    http://arxiv.org/abs/1901.02816v1

    • [cs.IT]Cognitive UAV Communication via Joint Maneuver and Power Control
    Yuwei Huang, Weidong Mei, Jie Xu, Ling Qiu, Rui Zhang
    http://arxiv.org/abs/1901.02804v1

    • [cs.IT]Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport
    Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman
    http://arxiv.org/abs/1901.02523v1

    • [cs.IT]Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties
    Rasmus Vestergaard, Qi Zhang, Daniel E. Lucani
    http://arxiv.org/abs/1901.02720v1

    • [cs.IT]Maximally Recoverable Codes with Hierarchical Locality
    Aaditya M Nair, V. Lalitha
    http://arxiv.org/abs/1901.02867v1

    • [cs.IT]On Secure Network Coding for Multiple Unicast Traffic
    Gaurav Kumar Agarwal, Martina Cardone, Christina Fragouli
    http://arxiv.org/abs/1901.02787v1

    • [cs.IT]On the Benefits of Waiting in Status Update Systems
    Peng Zou, Omur Ozel, Suresh Subramaniam
    http://arxiv.org/abs/1901.02873v1

    • [cs.IT]Secure list decoding
    Masahito Hayashi
    http://arxiv.org/abs/1901.02590v1

    • [cs.IT]Segmentation-Discarding Ordered-Statistic Decoding for Linear Block Codes
    Chentao Yue, Mahyar Shirvanimoghadda, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1901.02603v1

    • [cs.IT]Simple Codes and Sparse Recovery with Fast Decoding
    Mahdi Cheraghchi, João Ribeiro
    http://arxiv.org/abs/1901.02852v1

    • [cs.LG]A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
    Kumar Shridhar, Felix Laumann, Marcus Liwicki
    http://arxiv.org/abs/1901.02731v1

    • [cs.LG]A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings
    W. Brent Daniel, Enoch Yeung
    http://arxiv.org/abs/1901.02878v1

    • [cs.LG]Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences
    Stephanie Ger, Diego Klabjan
    http://arxiv.org/abs/1901.02514v1

    • [cs.LG]Bilinear Bandits with Low-rank Structure
    Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak
    http://arxiv.org/abs/1901.02470v1

    • [cs.LG]Deep Neural Networks Predicting Oil Movement in a Development Unit
    Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry Koroteev
    http://arxiv.org/abs/1901.02549v1

    • [cs.LG]Dirichlet Variational Autoencoder
    Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon
    http://arxiv.org/abs/1901.02739v1

    • [cs.LG]How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
    Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe
    http://arxiv.org/abs/1901.02757v1

    • [cs.LG]Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
    Mikael Henaff, Alfredo Canziani, Yann LeCun
    http://arxiv.org/abs/1901.02705v1

    • [cs.LG]On Relativistic f-Divergences
    Alexia Jolicoeur-Martineau
    http://arxiv.org/abs/1901.02474v1

    • [cs.LG]Transfer Representation Learning with TSK Fuzzy System
    Peng Xu, Zhaohong Deng, Jun Wang, Qun Zhang, Shitong Wang
    http://arxiv.org/abs/1901.02703v1

    • [cs.LG]Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
    Zihang Dai, Zhilin Yang, Yiming Yang, William W. Cohen, Jaime Carbonell, Quoc V. Le, Ruslan Salakhutdinov
    http://arxiv.org/abs/1901.02860v1

    • [cs.LG]UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
    Asanka G Perera, Yee Wei Law, Javaan Chahl
    http://arxiv.org/abs/1901.02602v1

    • [cs.LG]Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions
    Anna Sergeevna Bosman, Andries Engelbrecht, Mardé Helbig
    http://arxiv.org/abs/1901.02302v2

    • [cs.NE]Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
    Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
    http://arxiv.org/abs/1901.01753v2

    • [cs.SD]Presence-absence estimation in audio recordings of tropical frog communities
    Andrés Estrella Terneux, Damián Nicolalde, Daniel Nicolalde, Andrés Merino-Viteri
    http://arxiv.org/abs/1901.02495v1

    • [eess.IV]Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images
    Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Unay, Mujdat Cetin
    http://arxiv.org/abs/1901.02513v1

    • [eess.IV]Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation
    Al-Hussein A. El-Shafie, Mohamed Zaki, Serag El-Din Habib
    http://arxiv.org/abs/1901.02620v1

    • [eess.IV]Selective metamorphosis for growth modelling with applications to landmarks
    Andreas Bock, Alexis Arnaudon, Colin Cotter
    http://arxiv.org/abs/1901.02826v1

    • [math.DS]Dynamical systems in wireless communications: The road less traveled by
    Harun Siljak, Irene Macaluso, Nicola Marchetti
    http://arxiv.org/abs/1901.02661v1

    • [math.OC]Stochastic stabilization of dynamical systems over communication channels
    Christoph Kawan, Serdar Yüksel
    http://arxiv.org/abs/1901.02825v1

    • [math.OC]The Lingering of Gradients: How to Reuse Gradients over Time
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          本文标题:今日学术视野(2019.1.11)

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