cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能
cs.CC - 计算复杂度
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DM - 离散数学
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
econ.GN - 一般经济学
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
• [cond-mat.dis-nn]Emergence of order in random languages
• [cs.AI]Resolving Conflicts in Clinical Guidelines using Argumentation
• [cs.AI]World Discovery Models
• [cs.CC]Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
• [cs.CL]Discovery of Natural Language Concepts in Individual Units of CNNs
• [cs.CL]Phoneme Level Language Models for Sequence Based Low Resource ASR
• [cs.CL]ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
• [cs.CL]Semantic Neural Machine Translation using AMR
• [cs.CR]Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
• [cs.CV]A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
• [cs.CV]Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
• [cs.CV]Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
• [cs.CV]An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
• [cs.CV]An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
• [cs.CV]Augmentation for small object detection
• [cs.CV]BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation
• [cs.CV]Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
• [cs.CV]DeepBall: Deep Neural-Network Ball Detector
• [cs.CV]Dense 3D Visual Mapping via Semantic Simplification
• [cs.CV]Dual-modality seq2seq network for audio-visual event localization
• [cs.CV]Dynamic Cell Imaging in PET with Optimal Transport Regularization
• [cs.CV]Dynamic Matrix Decomposition for Action Recognition
• [cs.CV]Filtering Point Targets via Online Learning of Motion Models
• [cs.CV]Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
• [cs.CV]Knowledge-based Analysis for Mortality Prediction from CT Images
• [cs.CV]Large-scale mammography CAD with Deformable Conv-Nets
• [cs.CV]Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
• [cs.CV]Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
• [cs.CV]Meaningful representations emerge from Sparse Deep Predictive Coding
• [cs.CV]Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
• [cs.CV]On the effect of age perception biases for real age regression
• [cs.CV]Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
• [cs.CV]Point cloud denoising based on tensor Tucker decomposition
• [cs.CV]Sparsity Constrained Distributed Unmixing of Hyperspectral Data
• [cs.CV]Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
• [cs.CV]TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks
• [cs.CV]Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
• [cs.DC]'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
• [cs.DC]Competitive Concurrent Distributed Scheduling
• [cs.DC]DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
• [cs.DC]JArena: Partitioned Shared Memory for NUMA-awareness in Multi-threaded Scientific Applications
• [cs.DC]The Shutdown Problem: How Does a Blockchain System End?
• [cs.DL]Analysis of the Wikipedia Network of Mathematicians
• [cs.DM]From Sharma-Mittal to von-Neumann Entropy of a Graph
• [cs.DS]Computational Hardness of Certifying Bounds on Constrained PCA Problems
• [cs.DS]Fast, Small, and Simple Document Listing on Repetitive Text Collections
• [cs.IR]Graph Neural Networks for Social Recommendation
• [cs.IR]Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
• [cs.IR]NAIRS: A Neural Attentive Interpretable Recommendation System
• [cs.IR]TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
• [cs.IT]Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design
• [cs.IT]Construction of QC-LDPC Codes with Low Error Floor by Efficient Systematic Search and Elimination of Trapping Sets
• [cs.IT]Improved efficiency for explicit covering codes matching the sphere-covering bound
• [cs.IT]Jamming-assisted Eavesdropping over Parallel Fading Channels
• [cs.IT]Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method
• [cs.IT]Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach
• [cs.IT]Reflect- and Transmit-Array Antennas for Scalable and Energy-Efficient mmWave Massive MIMO
• [cs.IT]Self-dual binary -codes constructed by left ideals of the dihedral group algebra
• [cs.IT]Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation
• [cs.LG]A Note on Bounding Regret of the CUCB Contextual Combinatorial Bandit
• [cs.LG]A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary
• [cs.LG]A novel adaptive learning rate scheduler for deep neural networks
• [cs.LG]Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
• [cs.LG]Adaptive scale-invariant online algorithms for learning linear models
• [cs.LG]Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
• [cs.LG]DOM-Q-NET: Grounded RL on Structured Language
• [cs.LG]Data collaboration analysis for distributed datasets
• [cs.LG]Emulating Human Developmental Stages with Bayesian Neural Networks
• [cs.LG]Fast Neural Network Verification via Shadow Prices
• [cs.LG]Feature Relevance Bounds for Ordinal Regression
• [cs.LG]Investigating Generalisation in Continuous Deep Reinforcement Learning
• [cs.LG]LOSSGRAD: automatic learning rate in gradient descent
• [cs.LG]Learning Optimal Linear Regularizers
• [cs.LG]Learning with Inadequate and Incorrect Supervision
• [cs.LG]Mexican Hat Wavelet Kernel ELM for Multiclass Classification
• [cs.LG]Online Learning with Continuous Variations: Dynamic Regret and Reductions
• [cs.LG]Random Search and Reproducibility for Neural Architecture Search
• [cs.LG]Submodular Load Clustering with Robust Principal Component Analysis
• [cs.LG]Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
• [cs.LG]Understanding and Controlling Memory in Recurrent Neural Networks
• [cs.LG]Where Do Human Heuristics Come From?
• [cs.LG]advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
• [cs.RO]Analytic Model for Quadruped Locomotion Task-Space Planning
• [cs.RO]Learning efficient haptic shape exploration with a rigid tactile sensor array
• [cs.RO]Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
• [cs.RO]Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
• [cs.SI]Contributive Social Capital Extraction From Different Types of Online Data Sources
• [cs.SI]False News On Social Media: A Data-Driven Survey
• [cs.SI]Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks
• [cs.SI]Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems
• [econ.GN]Matching Refugees to Host Country Locations Based on Preferences and Outcomes
• [math.ST]Distributionally Robust Inference for Extreme Value-at-Risk
• [math.ST]Optimal Function-on-Scalar Regression over Complex Domains
• [math.ST]Sample Splitting and Weak Assumption Inference For Time Series
• [math.ST]Universality of Computational Lower Bounds for Submatrix Detection
• [q-bio.NC]Graph Spectral Characterization of Brain Cortical Morphology
• [stat.AP]Accuracy of the Epic Sepsis Prediction Model in a Regional Health System
• [stat.AP]Active Matrix Factorization for Surveys
• [stat.AP]Gaussian Process Priors for Dynamic Paired Comparison Modelling
• [stat.ME]A Semiparametric Effect Size Index
• [stat.ME]Causal variance decompositions for institutional comparisons in healthcare
• [stat.ME]Estimating Treatment Effects with Causal Forests: An Application
• [stat.ME]Interpoint Distance Based Two Sample Tests in High Dimension
• [stat.ML]Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
• [stat.ML]Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
• [stat.ML]Noisy multi-label semi-supervised dimensionality reduction
• [stat.ML]Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
• [stat.ML]Scalable Thompson Sampling via Optimal Transport
·····································
• [cond-mat.dis-nn]Emergence of order in random languages
E. DeGiuli
http://arxiv.org/abs/1902.07516v1
• [cs.AI]Resolving Conflicts in Clinical Guidelines using Argumentation
Kristijonas Čyras, Tiago Oliveira
http://arxiv.org/abs/1902.07526v1
• [cs.AI]World Discovery Models
Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo Avila Pires, Jean-Bastian Grill, Florent Altché, Rémi Munos
http://arxiv.org/abs/1902.07685v1
• [cs.CC]Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan, Guy Bresler
http://arxiv.org/abs/1902.07380v1
• [cs.CL]Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na, Yo Joong Choe, Dong-Hyun Lee, Gunhee Kim
http://arxiv.org/abs/1902.07249v1
• [cs.CL]Phoneme Level Language Models for Sequence Based Low Resource ASR
Siddharth Dalmia, Xinjian Li, Alan W Black, Florian Metze
http://arxiv.org/abs/1902.07613v1
• [cs.CL]ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, Waleed Ammar
http://arxiv.org/abs/1902.07669v1
• [cs.CL]Semantic Neural Machine Translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su
http://arxiv.org/abs/1902.07282v1
• [cs.CR]Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang
http://arxiv.org/abs/1902.07288v1
• [cs.CV]A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
Lu Tan, Ling Li, Wanquan Liu, Jie Sun, Min Zhang
http://arxiv.org/abs/1902.07402v1
• [cs.CV]Accurate Automatic Segmentation of Amygdala Subnuclei and Modeling of Uncertainty via Bayesian Fully Convolutional Neural Network
Yilin Liu, Gengyan Zhao, Brendon M. Nacewicz, Nagesh Adluru, Gregory R. Kirk, Peter A Ferrazzano, Martin Styner, Andrew L. Alexander
http://arxiv.org/abs/1902.07289v1
• [cs.CV]Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
Zhenyu Wang, Wei Zheng, Chunfeng Song
http://arxiv.org/abs/1902.06942v2
• [cs.CV]An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang
http://arxiv.org/abs/1902.07385v1
• [cs.CV]An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
Sercan Türkmen, Janne Heikkilä
http://arxiv.org/abs/1902.07476v1
• [cs.CV]Augmentation for small object detection
Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho
http://arxiv.org/abs/1902.07296v1
• [cs.CV]BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation
Roy Shilkrot, Zhi Chai, Minh Hoai
http://arxiv.org/abs/1902.07262v1
• [cs.CV]Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Bill Yang Cai, Ricardo Alvarez, Michelle Sit, Fábio Duarte, Carlo Ratti
http://arxiv.org/abs/1902.07401v1
• [cs.CV]DeepBall: Deep Neural-Network Ball Detector
Jacek Komorowski, Grzegorz Kurzejamski, Grzegorz Sarwas
http://arxiv.org/abs/1902.07304v1
• [cs.CV]Dense 3D Visual Mapping via Semantic Simplification
Luca Morreale, Andrea Romanoni, Matteo Matteucci
http://arxiv.org/abs/1902.07511v1
• [cs.CV]Dual-modality seq2seq network for audio-visual event localization
Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang
http://arxiv.org/abs/1902.07473v1
• [cs.CV]Dynamic Cell Imaging in PET with Optimal Transport Regularization
Bernhard Schmitzer, Klaus P. Schäfers, Benedikt Wirth
http://arxiv.org/abs/1902.07521v1
• [cs.CV]Dynamic Matrix Decomposition for Action Recognition
Abdul Basit
http://arxiv.org/abs/1902.07438v1
• [cs.CV]Filtering Point Targets via Online Learning of Motion Models
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
http://arxiv.org/abs/1902.07630v1
• [cs.CV]Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Xiao Guo, Jongmoo Choi
http://arxiv.org/abs/1902.07367v1
• [cs.CV]Knowledge-based Analysis for Mortality Prediction from CT Images
Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
http://arxiv.org/abs/1902.07687v1
• [cs.CV]Large-scale mammography CAD with Deformable Conv-Nets
Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sebastien Ourselin, Juan Eugenio Iglesias
http://arxiv.org/abs/1902.07323v1
• [cs.CV]Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan
http://arxiv.org/abs/1902.07370v1
• [cs.CV]Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images
Alice Yi Yang, Ling Cheng
http://arxiv.org/abs/1902.07458v1
• [cs.CV]Meaningful representations emerge from Sparse Deep Predictive Coding
Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent Perrinet
http://arxiv.org/abs/1902.07651v1
• [cs.CV]Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman, Siddique Latif, Muhammad Asim, Junaid Qadir
http://arxiv.org/abs/1902.07430v1
• [cs.CV]On the effect of age perception biases for real age regression
Julio C. S. Jacques Junior, Cagri Ozcinar, Marina Marjanovic, Xavier Baró, Gholamreza Anbarjafari, Sergio Escalera
http://arxiv.org/abs/1902.07653v1
• [cs.CV]Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
http://arxiv.org/abs/1902.07519v1
• [cs.CV]Point cloud denoising based on tensor Tucker decomposition
Jianze Li, Xiao-Ping Zhang, Tuan Tran
http://arxiv.org/abs/1902.07602v1
• [cs.CV]Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani
http://arxiv.org/abs/1902.07593v1
• [cs.CV]Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
Domen Tabernik, Matej Kristan, Aleš Leonardis
http://arxiv.org/abs/1902.07474v1
• [cs.CV]TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gursoy, Francesco De Carlo, Ian Foster
http://arxiv.org/abs/1902.07582v1
• [cs.CV]Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
Sixue Gong, Yichun Shi, Anil K. Jain
http://arxiv.org/abs/1902.07327v1
• [cs.DC]'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
Igor Zacharov, Rinat Arslanov, Maxim Gunin, Daniil Stefonishin, Sergey Pavlov, Oleg Panarin, Anton Maliutin, Sergey Rykovanov, Maxim Fedorov
http://arxiv.org/abs/1902.07490v1
• [cs.DC]Competitive Concurrent Distributed Scheduling
Abdolhamid Ghodselahi, Fabian Kuhn, Volker Turau
http://arxiv.org/abs/1902.07354v1
• [cs.DC]DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan
http://arxiv.org/abs/1902.07463v1
• [cs.DC]JArena: Partitioned Shared Memory for NUMA-awareness in Multi-threaded Scientific Applications
Zhang Yang, Aiqing Zhang, Zeyao Mo
http://arxiv.org/abs/1902.07590v1
• [cs.DC]The Shutdown Problem: How Does a Blockchain System End?
Mark Stuart Day
http://arxiv.org/abs/1902.07254v1
• [cs.DL]Analysis of the Wikipedia Network of Mathematicians
Bingsheng Chen, Zhengyu Lin, Tim S. Evans
http://arxiv.org/abs/1902.07622v1
• [cs.DM]From Sharma-Mittal to von-Neumann Entropy of a Graph
Souma Mazumdar, Amrik Singh, Supriyo Dutta, Sandeep Kumar Yadav, Partha Guha
http://arxiv.org/abs/1902.07548v1
• [cs.DS]Computational Hardness of Certifying Bounds on Constrained PCA Problems
Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein
http://arxiv.org/abs/1902.07324v1
• [cs.DS]Fast, Small, and Simple Document Listing on Repetitive Text Collections
Dustin Cobas, Gonzalo Navarro
http://arxiv.org/abs/1902.07599v1
• [cs.IR]Graph Neural Networks for Social Recommendation
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin
http://arxiv.org/abs/1902.07243v1
• [cs.IR]Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
http://arxiv.org/abs/1902.07565v1
• [cs.IR]NAIRS: A Neural Attentive Interpretable Recommendation System
Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen
http://arxiv.org/abs/1902.07494v1
• [cs.IR]TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts
Michihiro Yasunaga, John Lafferty
http://arxiv.org/abs/1902.06034v2
• [cs.IT]Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design
Xu Du, Yin Sun, Ness Shroff, Ashutosh Sabharwal
http://arxiv.org/abs/1902.07676v1
• [cs.IT]Construction of QC-LDPC Codes with Low Error Floor by Efficient Systematic Search and Elimination of Trapping Sets
Bashirreza Karimi, Amir. H Banihashemi
http://arxiv.org/abs/1902.07332v1
• [cs.IT]Improved efficiency for explicit covering codes matching the sphere-covering bound
Aditya Potukuchi, Yihan Zhang
http://arxiv.org/abs/1902.07408v1
• [cs.IT]Jamming-assisted Eavesdropping over Parallel Fading Channels
Yitao Han, Lingjie Duan, Rui Zhang
http://arxiv.org/abs/1902.07420v1
• [cs.IT]Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method
Jean Barbier, Chun Lam Chan, Nicolas Macris
http://arxiv.org/abs/1902.07273v1
• [cs.IT]Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach
Xuanlin Liu, Mingzhe Chen, Changchuan Yin
http://arxiv.org/abs/1902.06610v2
• [cs.IT]Reflect- and Transmit-Array Antennas for Scalable and Energy-Efficient mmWave Massive MIMO
Vahid Jamali, Antonia M. Tulino, Georg Fischer, Ralf Müller, Robert Schober
http://arxiv.org/abs/1902.07670v1
• [cs.IT]Self-dual binary -codes constructed by left ideals of the dihedral group algebra
Yuan Cao, Yonglin Cao, Fang-Wei Fu, Jian Gao
http://arxiv.org/abs/1902.07533v1
• [cs.IT]Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Nagananda K. G
http://arxiv.org/abs/1902.07423v1
• [cs.LG]A Note on Bounding Regret of the CUCB Contextual Combinatorial Bandit
Bastian Oetomo, Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein
http://arxiv.org/abs/1902.07500v1
• [cs.LG]A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary
Chris Mesterharm, Rauf Izmailov, Scott Alexander, Simon Tsang
http://arxiv.org/abs/1902.07280v1
• [cs.LG]A novel adaptive learning rate scheduler for deep neural networks
Rahul Yedida, Snehanshu Saha
http://arxiv.org/abs/1902.07399v1
• [cs.LG]Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Filip de Roos, Philipp Hennig
http://arxiv.org/abs/1902.07557v1
• [cs.LG]Adaptive scale-invariant online algorithms for learning linear models
Michał Kempka, Wojciech Kotłowski, Manfred K. Warmuth
http://arxiv.org/abs/1902.07528v1
• [cs.LG]Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik, Reazul Hasan Russell
http://arxiv.org/abs/1902.07605v1
• [cs.LG]DOM-Q-NET: Grounded RL on Structured Language
Sheng Jia, Jamie Kiros, Jimmy Ba
http://arxiv.org/abs/1902.07257v1
• [cs.LG]Data collaboration analysis for distributed datasets
Akira Imakura, Tetsuya Sakurai
http://arxiv.org/abs/1902.07535v1
• [cs.LG]Emulating Human Developmental Stages with Bayesian Neural Networks
Marcel Binz, Dominik Endres
http://arxiv.org/abs/1902.07579v1
• [cs.LG]Fast Neural Network Verification via Shadow Prices
Vicenc Rubies Royo, Roberto Calandra, Dusan M. Stipanovic, Claire Tomlin
http://arxiv.org/abs/1902.07247v1
• [cs.LG]Feature Relevance Bounds for Ordinal Regression
Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tino, Barbara Hammer
http://arxiv.org/abs/1902.07662v1
• [cs.LG]Investigating Generalisation in Continuous Deep Reinforcement Learning
Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales
http://arxiv.org/abs/1902.07015v2
• [cs.LG]LOSSGRAD: automatic learning rate in gradient descent
Bartosz Wójcik, Łukasz Maziarka, Jacek Tabor
http://arxiv.org/abs/1902.07656v1
• [cs.LG]Learning Optimal Linear Regularizers
Matthew Streeter
http://arxiv.org/abs/1902.07234v1
• [cs.LG]Learning with Inadequate and Incorrect Supervision
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao
http://arxiv.org/abs/1902.07429v1
• [cs.LG]Mexican Hat Wavelet Kernel ELM for Multiclass Classification
Jie Wang, Yi-Fan Song, Tian-Lei Ma
http://arxiv.org/abs/1902.07422v1
• [cs.LG]Online Learning with Continuous Variations: Dynamic Regret and Reductions
Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots
http://arxiv.org/abs/1902.07286v1
• [cs.LG]Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar
http://arxiv.org/abs/1902.07638v1
• [cs.LG]Submodular Load Clustering with Robust Principal Component Analysis
Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang
http://arxiv.org/abs/1902.07376v1
• [cs.LG]Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng
http://arxiv.org/abs/1902.07379v1
• [cs.LG]Understanding and Controlling Memory in Recurrent Neural Networks
Doron Haviv, Alexander Rivkind, Omri Barak
http://arxiv.org/abs/1902.07275v1
• [cs.LG]Where Do Human Heuristics Come From?
Marcel Binz, Dominik Endres
http://arxiv.org/abs/1902.07580v1
• [cs.LG]advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin
http://arxiv.org/abs/1902.07623v1
• [cs.RO]Analytic Model for Quadruped Locomotion Task-Space Planning
Carlo Tiseo, Sethu Vijayakumar, Michael Mistry
http://arxiv.org/abs/1902.07346v1
• [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/1902.07501v1
• [cs.RO]Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
Sourav Garg, Madhu Babu V, Thanuja Dharmasiri, Stephen Hausler, Niko Suenderhauf, Swagat Kumar, Tom Drummond, Michael Milford
http://arxiv.org/abs/1902.07381v1
• [cs.RO]Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Ricardo Garcia-Rosas, Ying Tan, Denny Oetomo, Chris Manzie, Peter Choong
http://arxiv.org/abs/1902.07313v1
• [cs.SI]Contributive Social Capital Extraction From Different Types of Online Data Sources
Sebastian Schams, Georg Groh
http://arxiv.org/abs/1902.07636v1
• [cs.SI]False News On Social Media: A Data-Driven Survey
Francesco Pierri, Stefano Ceri
http://arxiv.org/abs/1902.07539v1
• [cs.SI]Seed Selection and Social Coupon Allocation for Redemption Maximization in Online Social Networks
Tung-Chun Chang, Yishuo Shi, De-Nian Yang, Wen-Tsuen Chen
http://arxiv.org/abs/1902.07432v1
• [cs.SI]Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems
Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani
http://arxiv.org/abs/1902.07454v1
• [econ.GN]Matching Refugees to Host Country Locations Based on Preferences and Outcomes
Avidit Acharya, Kirk Bansak, Jens Hainmueller
http://arxiv.org/abs/1902.07355v1
• [math.ST]Distributionally Robust Inference for Extreme Value-at-Risk
Robert Yuen, Stilian Stoev, Dan Cooley
http://arxiv.org/abs/1902.05853v2
• [math.ST]Optimal Function-on-Scalar Regression over Complex Domains
Matthew Reimherr, Bharath Sriperumbudur, Hyun Bin Kang
http://arxiv.org/abs/1902.07284v1
• [math.ST]Sample Splitting and Weak Assumption Inference For Time Series
Robert Lunde
http://arxiv.org/abs/1902.07425v1
• [math.ST]Universality of Computational Lower Bounds for Submatrix Detection
Matthew Brennan, Guy Bresler, Wasim Huleihel
http://arxiv.org/abs/1902.06916v2
• [q-bio.NC]Graph Spectral Characterization of Brain Cortical Morphology
Sevil Maghsadhagh, Anders Eklund, Hamid Behjat
http://arxiv.org/abs/1902.07283v1
• [stat.AP]Accuracy of the Epic Sepsis Prediction Model in a Regional Health System
Tellen Bennett, Seth Russell, James King, Lisa Schilling, Chan Voong, Nancy Rogers, Bonnie Adrian, Nicholas Bruce, Debashis Ghosh
http://arxiv.org/abs/1902.07276v1
• [stat.AP]Active Matrix Factorization for Surveys
Chelsea Zhang, Sean J. Taylor, Curtiss Cobb, Jasjeet Sekhon
http://arxiv.org/abs/1902.07634v1
• [stat.AP]Gaussian Process Priors for Dynamic Paired Comparison Modelling
Martin Ingram
http://arxiv.org/abs/1902.07378v1
• [stat.ME]A Semiparametric Effect Size Index
Simon Vandekar
http://arxiv.org/abs/1902.07232v1
• [stat.ME]Causal variance decompositions for institutional comparisons in healthcare
Bo Chen, Keith A. Lawson, Antonio Finelli, Olli Saarela
http://arxiv.org/abs/1902.07692v1
• [stat.ME]Estimating Treatment Effects with Causal Forests: An Application
Susan Athey, Stefan Wager
http://arxiv.org/abs/1902.07409v1
• [stat.ME]Interpoint Distance Based Two Sample Tests in High Dimension
Changbo Zhu, Xiaofeng Shao
http://arxiv.org/abs/1902.07279v1
• [stat.ML]Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
Aijun Zhang, Hengtao Zhang, Guosheng Yin
http://arxiv.org/abs/1902.07627v1
• [stat.ML]Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan
http://arxiv.org/abs/1902.07698v1
• [stat.ML]Noisy multi-label semi-supervised dimensionality reduction
Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Filippo Maria Bianchi, Robert Jenssen
http://arxiv.org/abs/1902.07517v1
• [stat.ML]Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
Ayaka Sakata, Tomoyuki Obuchi
http://arxiv.org/abs/1902.07436v1
• [stat.ML]Scalable Thompson Sampling via Optimal Transport
Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
http://arxiv.org/abs/1902.07239v1
网友评论