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.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.LO - 计算逻辑
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
cs.SY - 系统与控制
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.PE - 人口与发展
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.CL]Advanced Rich Transcription System for Estonian Speech
• [cs.CL]Dialog System Technology Challenge 7
• [cs.CL]From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
• [cs.CL]Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments
• [cs.CL]ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation
• [cs.CR]CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
• [cs.CR]INTERPOL: Information Theoretically Verifiable Polynomial Evaluation
• [cs.CR]Mitigating Jamming Attacks Using Energy Harvesting
• [cs.CV]A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
• [cs.CV]A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
• [cs.CV]Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
• [cs.CV]CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
• [cs.CV]Color Recognition for Rubik's Cube Robot
• [cs.CV]DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
• [cs.CV]Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
• [cs.CV]FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
• [cs.CV]Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
• [cs.CV]Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
• [cs.CV]LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network
• [cs.CV]Retrieving Similar E-Commerce Images Using Deep Learning
• [cs.CV]Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint
• [cs.CY]New approach for a stable multi-criteria ridesharing system
• [cs.CY]Spatial concentration and temporal regularities in crime
• [cs.DC]Self-Stabilizing Distributed Cooperative Reset
• [cs.DC]TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains
• [cs.ET]Low-Power Neuromorphic Hardware for Signal Processing Applications
• [cs.HC]Somatic Practices for Understanding Real, Imagined, and Virtual Realities
• [cs.IR]Answer Interaction in Non-factoid Question Answering Systems
• [cs.IR]On Event Causality Detection in Tweets
• [cs.IR]User Intent Prediction in Information-seeking Conversations
• [cs.IT]Coded Distributed Computing over Packet Erasure Channels
• [cs.IT]Jammer-Assisted Resource Allocation in Secure OFDMA With Untrusted Users
• [cs.IT]Mean Estimation from One-Bit Measurements
• [cs.IT]OFDMA-based DF Secure Cooperative Communication with Untrusted Users
• [cs.IT]On the Importance of Asymmetry and Monotonicity Constraints in Maximal Correlation Analysis
• [cs.IT]Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution
• [cs.IT]Subcarrier Pairing as Channel Gain Tailoring: Joint Resource Allocation for Relay-Assisted Secure OFDMA with Untrusted Users
• [cs.IT]Universal Compression with Side Information from a Correlated Source
• [cs.LG]An investigation of model-free planning
• [cs.LG]Disease Knowledge Transfer across Neurodegenerative Diseases
• [cs.LG]Machine Learning Automation Toolbox (MLaut)
• [cs.LG]On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator
• [cs.LG]On the Turing Completeness of Modern Neural Network Architectures
• [cs.LG]Variation Network: Learning High-level Attributes for Controlled Input Manipulation
• [cs.LO]Life is Random, Time is Not: Markov Decision Processes with Window Objectives
• [cs.RO]A Framework for Analyzing Fog-Cloud Computing Cooperation Applied to Information Processing of UAVs
• [cs.RO]Attitude Reconstruction from Inertial Measurements: QuatFIter and Its Comparison with RodFIter
• [cs.RO]Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning
• [cs.SD]A survey on acoustic sensing
• [cs.SI]A Community-aware Network Growth Model for Synthetic Social Network Generation
• [cs.SY]Cooperative event-based rigid formation control
• [eess.IV]Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images
• [eess.SP]Multipulse Order Statistic Constant False Alarm Rate Detector in Pareto Background
• [math.ST]Identifiability and estimation of recursive max-linear models
• [math.ST]On large deviations for sums of discrete m-dependent random variables
• [physics.soc-ph]Network generation and evolution based on spatial and opinion dynamics components
• [physics.soc-ph]Quantifying echo chamber effects in information spreading over political communication networks
• [q-bio.PE]Estimating influenza incidence using search query deceptiveness and generalized ridge regression
• [q-bio.PE]Relationships between dilemma strength and fixation properties in coevolutionary games
• [stat.AP]Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
• [stat.ME]Efficient Sampling for Selecting Important Nodes in Random Network
• [stat.ME]Supervised variable selection in randomised controlled trials prior to exploration of treatment effect heterogeneity: an example from severe malaria
• [stat.ML]Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
• [stat.ML]Learning Undirected Posteriors by Backpropagation through MCMC Updates
• [stat.ML]The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
·····································
• [cs.CL]Advanced Rich Transcription System for Estonian Speech
Tanel Alumäe, Ottokar Tilk, Asadullah
http://arxiv.org/abs/1901.03601v1
• [cs.CL]Dialog System Technology Challenge 7
Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda Alamari, Tim K. Marks, Devi Parikh, Dhruv Batra
http://arxiv.org/abs/1901.03461v1
• [cs.CL]From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
Yan Zhao, Lu Liu, Chunhua Liu, Ruoyao Yang, Dong Yu
http://arxiv.org/abs/1901.03459v1
• [cs.CL]Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments
Alex Warstadt, Samuel R. Bowman
http://arxiv.org/abs/1901.03438v1
• [cs.CL]ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation
J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme
http://arxiv.org/abs/1901.03644v1
• [cs.CR]CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici
http://arxiv.org/abs/1901.03597v1
• [cs.CR]INTERPOL: Information Theoretically Verifiable Polynomial Evaluation
Saeid Sahraei, A. Salman Avestimehr
http://arxiv.org/abs/1901.03379v1
• [cs.CR]Mitigating Jamming Attacks Using Energy Harvesting
Gada Rezgui, E. Veronica Belmega, Arsenia Chorti
http://arxiv.org/abs/1901.03543v1
• [cs.CV]A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
Tong Qin, Shaozu Cao, Jie Pan, Shaojie Shen
http://arxiv.org/abs/1901.03642v1
• [cs.CV]A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
Tong Qin, Jie Pan, Shaozu Cao, Shaojie Shen
http://arxiv.org/abs/1901.03638v1
• [cs.CV]Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans, B. Garcia-Garcia
http://arxiv.org/abs/1901.03577v1
• [cs.CV]CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
Kishan Babu Kancharagunta, Shiv Ram Dubey
http://arxiv.org/abs/1901.03554v1
• [cs.CV]Color Recognition for Rubik's Cube Robot
Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong
http://arxiv.org/abs/1901.03470v1
• [cs.CV]DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
http://arxiv.org/abs/1901.03553v1
• [cs.CV]Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini, Skjalg Lepsoy, Riccardo Leonardi
http://arxiv.org/abs/1901.03547v1
• [cs.CV]FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang
http://arxiv.org/abs/1901.03495v1
• [cs.CV]Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet
Hai-Duong Nguyen, Soo-Hyung Kim
http://arxiv.org/abs/1901.03465v1
• [cs.CV]Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Adam W. Harley, Shih-En Wei, Jason Saragih, Katerina Fragkiadaki
http://arxiv.org/abs/1901.03628v1
• [cs.CV]LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network
Jiaxing Tan, Longlong Jing, Yumei Huo, Yingli Tian, Oguz Akin
http://arxiv.org/abs/1901.03473v1
• [cs.CV]Retrieving Similar E-Commerce Images Using Deep Learning
Rishab Sharma, Anirudha Vishvakarma
http://arxiv.org/abs/1901.03546v1
• [cs.CV]Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint
Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng
http://arxiv.org/abs/1901.03472v1
• [cs.CY]New approach for a stable multi-criteria ridesharing system
Sawsen Ben Nasr
http://arxiv.org/abs/1901.02510v2
• [cs.CY]Spatial concentration and temporal regularities in crime
Marcos Oliveira, Ronaldo Menezes
http://arxiv.org/abs/1901.03589v1
• [cs.DC]Self-Stabilizing Distributed Cooperative Reset
Stéphane Devismes, Colette Johnen
http://arxiv.org/abs/1901.03587v1
• [cs.DC]TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains
Yehonatan Buchnik, Roy Friedman
http://arxiv.org/abs/1901.03279v2
• [cs.ET]Low-Power Neuromorphic Hardware for Signal Processing Applications
Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
http://arxiv.org/abs/1901.03690v1
• [cs.HC]Somatic Practices for Understanding Real, Imagined, and Virtual Realities
Lisa May Thomas, Helen M. Deeks, Alex J. Jones, Oussama Metatla, David R. Glowacki
http://arxiv.org/abs/1901.03536v1
• [cs.IR]Answer Interaction in Non-factoid Question Answering Systems
Chen Qu, Liu Yang, Bruce Croft, Falk Scholer, Yongfeng Zhang
http://arxiv.org/abs/1901.03491v1
• [cs.IR]On Event Causality Detection in Tweets
Humayun Kayesh, Md. Saiful Islam, Junhu Wang
http://arxiv.org/abs/1901.03526v1
• [cs.IR]User Intent Prediction in Information-seeking Conversations
Chen Qu, Liu Yang, Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
http://arxiv.org/abs/1901.03489v1
• [cs.IT]Coded Distributed Computing over Packet Erasure Channels
Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon
http://arxiv.org/abs/1901.03610v1
• [cs.IT]Jammer-Assisted Resource Allocation in Secure OFDMA With Untrusted Users
Ravikant Saini, Abhishek Jindal, Swades De
http://arxiv.org/abs/1901.03614v1
• [cs.IT]Mean Estimation from One-Bit Measurements
Alon Kipnis, John C. Duchi
http://arxiv.org/abs/1901.03403v1
• [cs.IT]OFDMA-based DF Secure Cooperative Communication with Untrusted Users
Ravikant Saini, Deepak Mishra, Swades De
http://arxiv.org/abs/1901.03585v1
• [cs.IT]On the Importance of Asymmetry and Monotonicity Constraints in Maximal Correlation Analysis
Elad Domanovitz, Uri Erez
http://arxiv.org/abs/1901.03590v1
• [cs.IT]Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution
Trinh Van Chien, Thuong Nguyen Canh, Emil Björnson, Erik G. Larsson
http://arxiv.org/abs/1901.03620v1
• [cs.IT]Subcarrier Pairing as Channel Gain Tailoring: Joint Resource Allocation for Relay-Assisted Secure OFDMA with Untrusted Users
Ravikant Saini, Deepak Mishra, Swades De
http://arxiv.org/abs/1901.03637v1
• [cs.IT]Universal Compression with Side Information from a Correlated Source
Ahmad Beirami, Faramarz Fekri
http://arxiv.org/abs/1901.03625v1
• [cs.LG]An investigation of model-free planning
Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy Lillicrap
http://arxiv.org/abs/1901.03559v1
• [cs.LG]Disease Knowledge Transfer across Neurodegenerative Diseases
Razvan V. Marinescu, Marco Lorenzi, Stefano Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander
http://arxiv.org/abs/1901.03517v1
• [cs.LG]Machine Learning Automation Toolbox (MLaut)
Viktor Kazakov, Franz J. Király
http://arxiv.org/abs/1901.03678v1
• [cs.LG]On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator
Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang
http://arxiv.org/abs/1901.03674v1
• [cs.LG]On the Turing Completeness of Modern Neural Network Architectures
Jorge Pérez, Javier Marinković, Pablo Barceló
http://arxiv.org/abs/1901.03429v1
• [cs.LG]Variation Network: Learning High-level Attributes for Controlled Input Manipulation
Gaëtan Hadjeres
http://arxiv.org/abs/1901.03634v1
• [cs.LO]Life is Random, Time is Not: Markov Decision Processes with Window Objectives
Thomas Brihaye, Florent Delgrange, Youssouf Oualhadj, Mickael Randour
http://arxiv.org/abs/1901.03571v1
• [cs.RO]A Framework for Analyzing Fog-Cloud Computing Cooperation Applied to Information Processing of UAVs
Milena F. Pinto, André L. M. Marcato, Aurélio G. Melo, Leonardo M. Honório, Cristina Urdiales
http://arxiv.org/abs/1901.03385v1
• [cs.RO]Attitude Reconstruction from Inertial Measurements: QuatFIter and Its Comparison with RodFIter
Yuanxin Wu, Gongmin Yan
http://arxiv.org/abs/1901.03468v1
• [cs.RO]Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning
Joshua A. Haustein, Isac Arnekvist, Johannes Stork, Kaiyu Hang, Danica Kragic
http://arxiv.org/abs/1901.03557v1
• [cs.SD]A survey on acoustic sensing
Chao Cai, Rong Zheng, Menglan Hu
http://arxiv.org/abs/1901.03450v1
• [cs.SI]A Community-aware Network Growth Model for Synthetic Social Network Generation
Furkan Gursoy, Bertan Badur
http://arxiv.org/abs/1901.03629v1
• [cs.SY]Cooperative event-based rigid formation control
Zhiyong Sun, Qingchen Liu, Na Huang, Changbin Yu, Brian D. O. Anderson
http://arxiv.org/abs/1901.03656v1
• [eess.IV]Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images
Francisco Perdigon Romero, An Tang, Samuel Kadoury
http://arxiv.org/abs/1901.03684v1
• [eess.SP]Multipulse Order Statistic Constant False Alarm Rate Detector in Pareto Background
Graham V. Weinberg
http://arxiv.org/abs/1901.03437v1
• [math.ST]Identifiability and estimation of recursive max-linear models
Nadine Gissibl, Claudia Klüppelberg, Steffen Lauritzen
http://arxiv.org/abs/1901.03556v1
• [math.ST]On large deviations for sums of discrete m-dependent random variables
Vydas Čekanavičius, Palaniappan Vellaisamy
http://arxiv.org/abs/1901.03348v1
• [physics.soc-ph]Network generation and evolution based on spatial and opinion dynamics components
André C. R. Martins
http://arxiv.org/abs/1901.03426v1
• [physics.soc-ph]Quantifying echo chamber effects in information spreading over political communication networks
Wesley Cota, Silvio C. Ferreira, Romualdo Pastor-Satorras, Michele Starnini
http://arxiv.org/abs/1901.03688v1
• [q-bio.PE]Estimating influenza incidence using search query deceptiveness and generalized ridge regression
Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus
http://arxiv.org/abs/1901.03677v1
• [q-bio.PE]Relationships between dilemma strength and fixation properties in coevolutionary games
Hendrik Richter
http://arxiv.org/abs/1901.03545v1
• [stat.AP]Person as Population: A Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric J. Daza
http://arxiv.org/abs/1901.03423v1
• [stat.ME]Efficient Sampling for Selecting Important Nodes in Random Network
Haidong Li, Xiaoyun Xu, Yijie Peng, Chun-Hung Chen
http://arxiv.org/abs/1901.03466v1
• [stat.ME]Supervised variable selection in randomised controlled trials prior to exploration of treatment effect heterogeneity: an example from severe malaria
Chieh-Hsi Wu, Chris C. Holmes
http://arxiv.org/abs/1901.03531v1
• [stat.ML]Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
Ruimeng Hu
http://arxiv.org/abs/1901.03478v1
• [stat.ML]Learning Undirected Posteriors by Backpropagation through MCMC Updates
Arash Vahdat, Evgeny Andriyash, William G. Macready
http://arxiv.org/abs/1901.03440v1
• [stat.ML]The Benefits of Over-parameterization at Initialization in Deep ReLU Networks
Devansh Arpit, Yoshua Bengio
http://arxiv.org/abs/1901.03611v1
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