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.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.PL - 编程语言
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
eess.SP - 信号处理
hep-ex - 高能物理实验
hep-ph - 高能物理现象学
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
q-bio.NC - 神经元与认知
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]An Online Decision-Theoretic Pipeline for Responder Dispatch
• [cs.CL]Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining
• [cs.CL]Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
• [cs.CL]Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
• [cs.CL]Learning to Learn Semantic Parsers from Natural Language Supervision
• [cs.CL]Towards Visually Grounded Sub-Word Speech Unit Discovery
• [cs.CR]A Graph-Based Machine Learning Approach for Bot Detection
• [cs.CR]Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
• [cs.CV]A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation
• [cs.CV]Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization
• [cs.CV]Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data
• [cs.CV]Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
• [cs.CV]Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains
• [cs.CV]Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics
• [cs.CV]Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
• [cs.CV]The Multi-Lane Capsule Network (MLCN)
• [cs.CV]Towards end-to-end pulsed eddy current classification and regression with CNN
• [cs.CY]Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
• [cs.CY]Topology and dynamics of narratives on Brexit propagated by UK press during 2016 and 2017
• [cs.DB]Capuchin: Causal Database Repair for Algorithmic Fairness
• [cs.DC]Online Anomaly Detection in HPC Systems
• [cs.DC]Revisiting hBFT: Speculative Byzantine Fault Tolerance with Minimum Cost
• [cs.DS]Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
• [cs.HC]On How Users Edit Computer-Generated Visual Stories
• [cs.IR]Empowering Elasticsearch with Exact and Fast -Neighbor Search in Hamming Space
• [cs.IR]Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems
• [cs.IR]Web Links Prediction And Category-Wise Recommendation Based On Browser History
• [cs.IR]WebProtégé: A Cloud-Based Ontology Editor
• [cs.IT]A Distributed Multi-RF Chain Hybrid mmWave Scheme for Small-cell Systems
• [cs.IT]A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors
• [cs.IT]Coverage Performance of Aerial-Terrestrial HetNets
• [cs.IT]How Do Non-Ideal UAV Antennas Affect Air-to-Ground Communications?
• [cs.IT]Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion
• [cs.IT]Learning requirements for stealth attacks
• [cs.IT]Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
• [cs.IT]Optimal Channel Estimation for Hybrid Energy Beamforming under Phase Shifter Impairments
• [cs.IT]Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems
• [cs.IT]Randomized Caching in Cooperative UAV-Enabled Fog-RAN
• [cs.IT]Skew Constacyclic and LCD Codes over
• [cs.LG]A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties
• [cs.LG]A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations
• [cs.LG]AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
• [cs.LG]Adversarial Attacks on Graph Neural Networks via Meta Learning
• [cs.LG]Bayes Optimal Early Stopping Policies for Black-Box Optimization
• [cs.LG]Capacity allocation through neural network layers
• [cs.LG]Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
• [cs.LG]Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification
• [cs.LG]Convolutional Analysis Operator Learning: Dependence on Training Data
• [cs.LG]Diversity of Ensembles for Data Stream Classification
• [cs.LG]Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
• [cs.LG]Generative Memory for Lifelong Reinforcement Learning
• [cs.LG]Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
• [cs.LG]Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
• [cs.LG]Latent Translation: Crossing Modalities by Bridging Generative Models
• [cs.LG]Learning about an exponential amount of conditional distributions
• [cs.LG]Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
• [cs.LG]Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes
• [cs.LG]On the Sensitivity of Adversarial Robustness to Input Data Distributions
• [cs.LG]Online Meta-Learning
• [cs.LG]Overcoming Multi-Model Forgetting
• [cs.LG]Reduced-Rank Local Distance Metric Learning for k-NN Classification
• [cs.LG]Towards Neural Mixture Recommender for Long Range Dependent User Sequences
• [cs.NE]Evolutionary Neural AutoML for Deep Learning
• [cs.NE]Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
• [cs.PL]Optimizing Space of Parallel Processes
• [cs.RO]An LSTM Network for Real-Time Odometry Estimation
• [cs.RO]LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes
• [cs.RO]Learning efficient haptic shape exploration with a rigid tactile sensor array
• [cs.SI]E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
• [cs.SI]Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach
• [cs.SI]Thresholding normally distributed data creates complex networks
• [eess.SP]Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications
• [hep-ex]End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
• [hep-ph]ParticleNet: Jet Tagging via Particle Clouds
• [math.OC]Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
• [math.PR]Convergence Rate of Empirical Spectral Distribution of Random Matrices from Linear Codes
• [math.ST]Characterization of the tail behavior of a class of BEKK processes: A stochastic recurrence equation approach
• [math.ST]On Parameter Estimation of Hidden Ergodic Ornstein-Uhlenbeck Process
• [math.ST]Parameter estimation for random sampled Regression Model with Long Memory Noise
• [q-bio.NC]Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation
• [stat.AP]Estimating and Forecasting the Smoking-Attributable Mortality Fraction for Both Sexes Jointly in 69 Countries
• [stat.AP]Gaussian Markov Random Fields versus Linear Mixed Models for satellite-based PM2.5 assessment: Evidence from the Northeastern USA
• [stat.AP]Using an online sample to learn about an offline population
• [stat.ME]Manifold valued data analysis of samples of networks, with applications in corpus linguistics
• [stat.ME]Towards More Flexible False Positive Control in Phase III Randomized Clinical Trials
• [stat.ME]UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring
• [stat.ML]Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
• [stat.ML]FAVAE: Sequence Disentanglement using Information Bottleneck Principle
• [stat.ML]Model-based clustering in very high dimensions via adaptive projections
• [stat.ML]Quantifying Perceptual Distortion of Adversarial Examples
• [stat.ML]Robust Graph Embedding with Noisy Link Weights
• [stat.ML]Unique Sharp Local Minimum in -minimization Complete Dictionary Learning
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• [cs.AI]An Online Decision-Theoretic Pipeline for Responder Dispatch
Ayan Mukhopadhyay, Geoffrey Pettet, Chinmaya Samal, Abhishek Dubey, Yevgeniy Vorobeychik
http://arxiv.org/abs/1902.08274v1
• [cs.CL]Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining
Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmerman
http://arxiv.org/abs/1902.08342v1
• [cs.CL]Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Yinfei Yang, Gustavo Hernandez Abrego, Steve Yuan, Mandy Guo, Qinlan Shen, Daniel Cer, Yun-hsuan Sung, Brian Strope, Ray Kurzweil
http://arxiv.org/abs/1902.08564v1
• [cs.CL]Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha
http://arxiv.org/abs/1902.08355v1
• [cs.CL]Learning to Learn Semantic Parsers from Natural Language Supervision
Igor Labutov, Bishan Yang, Tom Mitchell
http://arxiv.org/abs/1902.08373v1
• [cs.CL]Towards Visually Grounded Sub-Word Speech Unit Discovery
David Harwath, James Glass
http://arxiv.org/abs/1902.08213v1
• [cs.CR]A Graph-Based Machine Learning Approach for Bot Detection
Abbas Abou Daya, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba
http://arxiv.org/abs/1902.08538v1
• [cs.CR]Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Ziqi Yang, Ee-Chien Chang, Zhenkai Liang
http://arxiv.org/abs/1902.08552v1
• [cs.CV]A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation
Min Zhao, Jie Chen, Zhe He
http://arxiv.org/abs/1902.08347v1
• [cs.CV]Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization
Chandrajit Bajaj, Tianming Wang
http://arxiv.org/abs/1902.08224v1
• [cs.CV]Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data
Xiaoxiao He, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris Metaxas, Kang Li
http://arxiv.org/abs/1902.08527v1
• [cs.CV]Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
Xin Fu, Jia Yan, Cien Fan
http://arxiv.org/abs/1902.08546v1
• [cs.CV]Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
http://arxiv.org/abs/1902.08192v1
• [cs.CV]Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
http://arxiv.org/abs/1902.08236v1
• [cs.CV]Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
Peng Chu, Heng Fan, Chiu C Tan, Haibin Ling
http://arxiv.org/abs/1902.08231v1
• [cs.CV]The Multi-Lane Capsule Network (MLCN)
Vanderson Martins do Rosario, Edson Borin, Mauricio Breternitz Jr
http://arxiv.org/abs/1902.08431v1
• [cs.CV]Towards end-to-end pulsed eddy current classification and regression with CNN
Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
http://arxiv.org/abs/1902.08553v1
• [cs.CY]Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
http://arxiv.org/abs/1902.08448v1
• [cs.CY]Topology and dynamics of narratives on Brexit propagated by UK press during 2016 and 2017
Jorge Louçã, António Fonseca
http://arxiv.org/abs/1902.08558v1
• [cs.DB]Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu
http://arxiv.org/abs/1902.08283v1
• [cs.DC]Online Anomaly Detection in HPC Systems
Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini
http://arxiv.org/abs/1902.08447v1
• [cs.DC]Revisiting hBFT: Speculative Byzantine Fault Tolerance with Minimum Cost
Nibesh Shrestha, Mohan Kumar
http://arxiv.org/abs/1902.08505v1
• [cs.DS]Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
Oren Mangoubi, Nisheeth K. Vishnoi
http://arxiv.org/abs/1902.08452v1
• [cs.HC]On How Users Edit Computer-Generated Visual Stories
Ting-Yao Hsu, Yen-Chia Hsu, Ting-Hao 'Kenneth' Huang
http://arxiv.org/abs/1902.08327v1
• [cs.IR]Empowering Elasticsearch with Exact and Fast -Neighbor Search in Hamming Space
Cun Mu, Jun Zhao, Guang Yang, Binwei Yang, Zheng Yan
http://arxiv.org/abs/1902.08498v1
• [cs.IR]Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems
Alexandra Burashnikova, Yury Maximov, Massih-Reza Amini
http://arxiv.org/abs/1902.08495v1
• [cs.IR]Web Links Prediction And Category-Wise Recommendation Based On Browser History
Ashadullah Shawon, Syed Tauhid Zuhori, Firoz Mahmud, Md. Jamil-Ur Rahman
http://arxiv.org/abs/1902.08496v1
• [cs.IR]WebProtégé: A Cloud-Based Ontology Editor
Matthew Horridge, Rafael S. Gonçalves, Csongor I. Nyulas, Mark A. Musen
http://arxiv.org/abs/1902.08251v1
• [cs.IT]A Distributed Multi-RF Chain Hybrid mmWave Scheme for Small-cell Systems
Lou Zhao, Jiajia Guo, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/1902.08354v1
• [cs.IT]A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors
Efe Aras, Kuan-Yun Lee, Ashwin Pananjady, Thomas A. Courtade
http://arxiv.org/abs/1902.08582v1
• [cs.IT]Coverage Performance of Aerial-Terrestrial HetNets
M. G. Khoshkholgh, Keivan Navaie, Halim Yanikomerogluy, V. C. M. Leung, Kang. G. Shin
http://arxiv.org/abs/1902.08547v1
• [cs.IT]How Do Non-Ideal UAV Antennas Affect Air-to-Ground Communications?
M. G. Khoshkholgh, Keivan Navaie, Halim Yanikomeroglu, V. C. M. Leung, Kang. G. Shin
http://arxiv.org/abs/1902.08542v1
• [cs.IT]Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion
Tian Lin, Jiaqi Cong, Yu Zhu, Jun Zhang, Khaled B. Letaief
http://arxiv.org/abs/1902.08343v1
• [cs.IT]Learning requirements for stealth attacks
Ke Sun, Iñaki Esnaola, Antonia M. Tulino, H. Vincent Poor
http://arxiv.org/abs/1902.08222v1
• [cs.IT]Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
Xianbin Wang, Huazi Zhang, Rong Li, Lingchen Huang, Shengchen Dai, Yourui Huangfu Jun Wang
http://arxiv.org/abs/1902.08394v1
• [cs.IT]Optimal Channel Estimation for Hybrid Energy Beamforming under Phase Shifter Impairments
Deepak Mishra, Håkan Johansson
http://arxiv.org/abs/1902.08475v1
• [cs.IT]Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems
Meysam Sadeghi, Erik G. Larsson
http://arxiv.org/abs/1902.08391v1
• [cs.IT]Randomized Caching in Cooperative UAV-Enabled Fog-RAN
M. G. Khoshkholgh, Keivan Navaie, Halim Yanikomerogluy, V. C. M. Leung, Kang G. Shin
http://arxiv.org/abs/1902.08545v1
• [cs.IT]Skew Constacyclic and LCD Codes over
Ranya D. Boulanouar, Aicha Batoul
http://arxiv.org/abs/1902.08557v1
• [cs.LG]A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis Haupt
http://arxiv.org/abs/1902.08304v1
• [cs.LG]A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations
Stephen L. France, Ulas Akkucuk
http://arxiv.org/abs/1902.08571v1
• [cs.LG]AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs
Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A Osborne, Andreas Krause, Bernhard Schölkopf
http://arxiv.org/abs/1902.08480v1
• [cs.LG]Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner, Stephan Günnemann
http://arxiv.org/abs/1902.08412v1
• [cs.LG]Bayes Optimal Early Stopping Policies for Black-Box Optimization
Matthew Streeter
http://arxiv.org/abs/1902.08285v1
• [cs.LG]Capacity allocation through neural network layers
Jonathan Donier
http://arxiv.org/abs/1902.08572v1
• [cs.LG]Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
Marcelo Daniel Gutierrez Mallea, Peter Meltzer, Peter J Bentley
http://arxiv.org/abs/1902.08399v1
• [cs.LG]Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification
Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien
http://arxiv.org/abs/1902.08605v1
• [cs.LG]Convolutional Analysis Operator Learning: Dependence on Training Data
Il Yong Chun, David Hong, Ben Adcock, Jeffrey A. Fessler
http://arxiv.org/abs/1902.08267v1
• [cs.LG]Diversity of Ensembles for Data Stream Classification
Mohamed Souhayel Abassi
http://arxiv.org/abs/1902.08466v1
• [cs.LG]Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems
Juho Lauri, Sourav Dutta
http://arxiv.org/abs/1902.08455v1
• [cs.LG]Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan, Jesse Hostetler, Sek Chai
http://arxiv.org/abs/1902.08349v1
• [cs.LG]Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua
http://arxiv.org/abs/1902.08226v1
• [cs.LG]Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba
http://arxiv.org/abs/1902.08234v1
• [cs.LG]Latent Translation: Crossing Modalities by Bridging Generative Models
Yingtao Tian, Jesse Engel
http://arxiv.org/abs/1902.08261v1
• [cs.LG]Learning about an exponential amount of conditional distributions
Mohamed Ishmael Belghazi, Maxime Oquab, Yann LeCun, David Lopez-Paz
http://arxiv.org/abs/1902.08401v1
• [cs.LG]Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
http://arxiv.org/abs/1902.08295v1
• [cs.LG]Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes
Larkin Liu, Richard Downe, Joshua Reid
http://arxiv.org/abs/1902.08593v1
• [cs.LG]On the Sensitivity of Adversarial Robustness to Input Data Distributions
Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang
http://arxiv.org/abs/1902.08336v1
• [cs.LG]Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine
http://arxiv.org/abs/1902.08438v1
• [cs.LG]Overcoming Multi-Model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony Davison, Mathieu Salzmann, Claudiu Musat
http://arxiv.org/abs/1902.08232v1
• [cs.LG]Reduced-Rank Local Distance Metric Learning for k-NN Classification
YInjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
http://arxiv.org/abs/1902.08313v1
• [cs.LG]Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
http://arxiv.org/abs/1902.08588v1
• [cs.NE]Evolutionary Neural AutoML for Deep Learning
Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, Risto Miikkulainen
http://arxiv.org/abs/1902.06827v2
• [cs.NE]Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections
Elena Pastorelli, Cristiano Capone, Francesco Simula, Maria V. Sanchez-Vives, Paolo Del Giudice, Maurizio Mattia, Pier Stanislao Paolucci
http://arxiv.org/abs/1902.08410v1
• [cs.PL]Optimizing Space of Parallel Processes
Manfred Schmidt-Schauß, Nils Dallmeyer
http://arxiv.org/abs/1902.08422v1
• [cs.RO]An LSTM Network for Real-Time Odometry Estimation
Michelle Valente, Cyril Joly, Arnaud de La Fortelle
http://arxiv.org/abs/1902.08536v1
• [cs.RO]LSwarm: Efficient Collision Avoidance for Large Swarms with Coverage Constraints in Complex Urban Scenes
Senthil Hariharan Arul, Adarsh Jagan Sathyamoorthy, Shivang Patel, Michael Otte, Huan Xu, Ming C Lin, Dinesh Manocha
http://arxiv.org/abs/1902.08379v1
• [cs.RO]Learning efficient haptic shape exploration with a rigid tactile sensor array
Sascha Fleer, Alexandra Moringen, Roberta L. Klatzky, Helge Ritter
http://arxiv.org/abs/1902.07501v2
• [cs.SI]E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu, Chengbo Fu, Dan Zhang, Qingpeng Zhang, Qi Xuan
http://arxiv.org/abs/1902.08329v1
• [cs.SI]Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach
Zafar Saeed, Rabeeh Ayaz Abbasi, Muhammad Imran Razzak, Guandong Xu
http://arxiv.org/abs/1902.08522v1
• [cs.SI]Thresholding normally distributed data creates complex networks
George Cantwell, Yanchen Liu, Benjamin F. Maier, Alice C. Schwarze, Carlos A. Serván, Jordan Snyder, Guillaume St-Onge
http://arxiv.org/abs/1902.08278v1
• [eess.SP]Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications
Ertugrul Basar
http://arxiv.org/abs/1902.08463v1
• [hep-ex]End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabas Poczos, Emanuele Usai
http://arxiv.org/abs/1902.08276v1
• [hep-ph]ParticleNet: Jet Tagging via Particle Clouds
Huilin Qu, Loukas Gouskos
http://arxiv.org/abs/1902.08570v1
• [math.OC]Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Songtao Lu, Ioannis Tsaknakis, Mingyi Hong, Yongxin Chen
http://arxiv.org/abs/1902.08294v1
• [math.PR]Convergence Rate of Empirical Spectral Distribution of Random Matrices from Linear Codes
Chin Hei Chan, Vahid Tarokh, Maosheng Xiong
http://arxiv.org/abs/1902.08428v1
• [math.ST]Characterization of the tail behavior of a class of BEKK processes: A stochastic recurrence equation approach
Muneya Matsui, Rasmus Søndergaard Pedersen
http://arxiv.org/abs/1902.08364v1
• [math.ST]On Parameter Estimation of Hidden Ergodic Ornstein-Uhlenbeck Process
Yury A. Kutoyants
http://arxiv.org/abs/1902.08500v1
• [math.ST]Parameter estimation for random sampled Regression Model with Long Memory Noise
Héctor Araya, Natalia Bahamonde, Lisandro Fermín, Tania Roa, Soledad Torres
http://arxiv.org/abs/1902.08590v1
• [q-bio.NC]Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation
Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
http://arxiv.org/abs/1902.08411v1
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Ron Sarafian, Itai Kloog, Allan C. Just, Johnathan D. Rosenblatt
http://arxiv.org/abs/1902.08486v1
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Dennis M. Feehan, Curtiss Cobb
http://arxiv.org/abs/1902.08289v1
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Katie Severn, Ian L. Dryden, Simon P. Preston
http://arxiv.org/abs/1902.08290v1
• [stat.ME]Towards More Flexible False Positive Control in Phase III Randomized Clinical Trials
Changyu Shen, Xiaochun Li
http://arxiv.org/abs/1902.08229v1
• [stat.ME]UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring
Aven Samareh, Shuai Huang
http://arxiv.org/abs/1902.08246v1
• [stat.ML]Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
Christopher K. Wikle
http://arxiv.org/abs/1902.08321v1
• [stat.ML]FAVAE: Sequence Disentanglement using Information Bottleneck Principle
Masanori Yamada, Kim Heecheol, Kosuke Miyoshi, Hiroshi Yamakawa
http://arxiv.org/abs/1902.08341v1
• [stat.ML]Model-based clustering in very high dimensions via adaptive projections
Bernd Taschler, Frank Dondelinger, Sach Mukherjee
http://arxiv.org/abs/1902.08472v1
• [stat.ML]Quantifying Perceptual Distortion of Adversarial Examples
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http://arxiv.org/abs/1902.08265v1
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Akifumi Okuno, Hidetoshi Shimodaira
http://arxiv.org/abs/1902.08440v1
• [stat.ML]Unique Sharp Local Minimum in -minimization Complete Dictionary Learning
Yu Wang, Siqi Wu, Bin Yu
http://arxiv.org/abs/1902.08380v1
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