Papers
Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas, Lorenzo Rosasco
Learning the Architecture of Sum-Product Networks Using Clustering on Variables
Aaron Dennis, Dan Ventura
Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu et al.
Learning to Align from Scratch
Gary Huang, Marwan Mattar, Honglak Lee et al.
Learning to Discover Social Circles in Ego Networks
Jure Leskovec, Julian J. Mcauley
Learning visual motion in recurrent neural networks
Marius Pachitariu, Maneesh Sahani
Learning with Partially Absorbing Random Walks
Xiao-ming Wu, Zhenguo Li, Anthony M. So et al.
Learning with Recursive Perceptual Representations
Oriol Vinyals, Yangqing Jia, Li Deng et al.
Learning with Target Prior
Zuoguan Wang, Siwei Lyu, Gerwin Schalk et al.
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stephane Gaiffas, Nicolas Vayatis
Localizing 3D cuboids in single-view images
Jianxiong Xiao, Bryan Russell, Antonio Torralba
Locally Uniform Comparison Image Descriptor
Andrew Ziegler, Eric Christiansen, David Kriegman et al.
Local Supervised Learning through Space Partitioning
Joseph Wang, Venkatesh Saligrama
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
Azadeh Khaleghi, Daniil Ryabko
Majorization for CRFs and Latent Likelihoods
Tony Jebara, Anna Choromanska
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Wei Bi, James T. Kwok
MAP Inference in Chains using Column Generation
David Belanger, Alexandre Passos, Sebastian Riedel et al.
Matrix reconstruction with the local max norm
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
Du Tran, Junsong Yuan
MCMC for continuous-time discrete-state systems
Vinayak Rao, Yee W. Teh
Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba et al.
Meta-Gaussian Information Bottleneck
Melanie Rey, Volker Roth
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee, Alexander G. Gray
Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco, Erik B. Sudderth
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin et al.