Papers

18,748 papers found
Training Conditional Random Fields for Maximum Labelwise Accuracy
Samuel S. Gross, Olga Russakovsky, Chuong B. Do et al.
2006 NIPS
Large Margin Component Analysis
Lorenzo Torresani, Kuang-chih Lee
2006 NIPS
Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz, Bernhard Schölkopf
2006 NIPS
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington, I. D. Melamed
2006 NIPS
Conditional mean field
Peter Carbonetto, Nando D. Freitas
2006 NIPS
Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis et al.
2007 NIPS
Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Hal Daume III, Daniel M. Roy
2007 NIPS
Kernel Measures of Conditional Dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun et al.
2007 NIPS
2007 NIPS
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
2007 NIPS
A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein et al.
2007 NIPS
2007 NIPS
Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck et al.
2007 NIPS
Catching Change-points with Lasso
Céline Levy-leduc, Zaïd Harchaoui
2007 NIPS
Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi
2008 NIPS
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena et al.
2008 NIPS
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile
2008 NIPS
Differentiable Sparse Coding
J. A. Bagnell, David M. Bradley
2008 NIPS
Inferring rankings under constrained sensing
Srikanth Jagabathula, Devavrat Shah
2008 NIPS
A Scalable Hierarchical Distributed Language Model
Andriy Mnih, Geoffrey E. Hinton
2008 NIPS