Papers
176,624 papers found
Abstraction Selection in Model-based Reinforcement Learning
Nan Jiang, Alex Kulesza, Satinder Singh
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L Bartlett
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
Rose Yu, Dehua Cheng, Yan Liu
Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li, Zhouchen Lin
Accurate and conservative estimates of MRF log-likelihood using reverse annealing
Yuri Burda, Roger Grosse, Ruslan Salakhutdinov
Accurate Camera Calibration Robust to Defocus Using a Smartphone
Hyowon Ha, Yunsu Bok, Kyungdon Joo et al.
Accurate Depth Map Estimation From a Lenslet Light Field Camera
Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe et al.
A Chaining Algorithm for Online Nonparametric Regression
Pierre Gaillard, Sébastien Gerchinovitz
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies
Kazuho Watanabe, Teemu Roos
Achieving All with No Parameters: AdaNormalHedge
Haipeng Luo, Robert E. Schapire
A Classification Module for Genetic Programming Algorithms in JCLEC
Alberto Cano, José María Luna, Amelia Zafra et al.
A class of network models recoverable by spectral clustering
Yali Wan, Marina Meila
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-Category Recognition
Roozbeh Mottaghi, Yu Xiang, Silvio Savarese
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation
Chiho Choi, Ayan Sinha, Joon Hee Choi et al.
A Complete Recipe for Stochastic Gradient MCMC
Yi-An Ma, Tianqi Chen, Emily B. Fox
A Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms
Shida Beigpour, Andreas Kolb, Sven Kunz
A Comprehensive Survey on Safe Reinforcement Learning
Javier García, Fernando Fernández
A Compression Technique for Analyzing Disagreement-Based Active Learning
Yair Wiener, Steve Hanneke, Ran El-Yaniv
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi et al.
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
En-Hsu Yen, Xin Lin, Kai Zhong et al.
A Convex Optimization Approach to Robust Fundamental Matrix Estimation
Yongfang Cheng, Jose A. Lopez, Octavia Camps et al.
A Convex Optimization Framework for Bi-Clustering
Shiau Hong Lim, Yudong Chen, Huan Xu
A Convolutional Neural Network Cascade for Face Detection
Haoxiang Li, Zhe Lin, Xiaohui Shen et al.
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee et al.