Papers
18,748 papers found
Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze, Fernando Pereira
Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar et al.
Natural Image Denoising with Convolutional Networks
Viren Jain, Sebastian Seung
Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang et al.
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
Anne Hsu, Thomas L. Griffiths
Semi-Supervised Learning in Gigantic Image Collections
Rob Fergus, Yair Weiss, Antonio Torralba
Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang, Yihong Gong
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer et al.
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan, Rob Fergus
Quantification and the language of thought
Charles Kemp
Conditional Random Fields with High-Order Features for Sequence Labeling
Nan Ye, Wee S. Lee, Hai L. Chieu et al.
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Ryan Mcdonald, Mehryar Mohri, Nathan Silberman et al.
Conditional Neural Fields
Jian Peng, Liefeng Bo, Jinbo Xu
Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic et al.
Label Embedding Trees for Large Multi-Class Tasks
Samy Bengio, Jason Weston, David Grangier
Deep Coding Network
Yuanqing Lin, Tong Zhang, Shenghuo Zhu et al.
Large Margin Learning of Upstream Scene Understanding Models
Jun Zhu, Li-jia Li, Li Fei-fei et al.
Tight Sample Complexity of Large-Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
Minimum Average Cost Clustering
Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata
Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano et al.
Learning from Candidate Labeling Sets
Jie Luo, Francesco Orabona
Learning the context of a category
Dan Navarro
Monte-Carlo Planning in Large POMDPs
David Silver, Joel Veness
Learning To Count Objects in Images
Victor Lempitsky, Andrew Zisserman
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari