Papers
21,849 papers found
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller, Michael Collins
Learning models of object structure
Joseph Schlecht, Kobus Barnard
Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin
Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis, Trevor Darrell
Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang et al.
Learning transport operators for image manifolds
Benjamin Culpepper, Bruno A. Olshausen
Learning with Compressible Priors
Volkan Cevher
Linear-time Algorithms for Pairwise Statistical Problems
Parikshit Ram, Dongryeol Lee, William March et al.
Locality-sensitive binary codes from shift-invariant kernels
Maxim Raginsky, Svetlana Lazebnik
Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller et al.
Local Rules for Global MAP: When Do They Work ?
Kyomin Jung, Pushmeet Kohli, Devavrat Shah
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti, Bin Yu, Martin J. Wainwright
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
Keith Bush, Joelle Pineau
Manifold Regularization for SIR with Rate Root-n Convergence
Wei Bian, Dacheng Tao
Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari, Sewoong Oh
Matrix Completion from Power-Law Distributed Samples
Raghu Meka, Prateek Jain, Inderjit S. Dhillon
Maximin affinity learning of image segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung et al.
Maximum likelihood trajectories for continuous-time Markov chains
Theodore J. Perkins
Measuring Invariances in Deep Networks
Ian Goodfellow, Honglak Lee, Quoc V. Le et al.
Measuring model complexity with the prior predictive
Wolf Vanpaemel
Modeling Social Annotation Data with Content Relevance using a Topic Model
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
Modeling the spacing effect in sequential category learning
Hongjing Lu, Matthew Weiden, Alan L. Yuille
Modelling Relational Data using Bayesian Clustered Tensor Factorization
Ilya Sutskever, Joshua B. Tenenbaum, Ruslan Salakhutdinov