Papers
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der, Lawrence K. Saul
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
Anima Anandkumar, Ragupathyraj Valluvan
Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Jason Eisner et al.
Learning about Canonical Views from Internet Image Collections
Elad Mezuman, Yair Weiss
Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson, Tibério S. Caetano
Learning curves for multi-task Gaussian process regression
Peter Sollich, Simon Ashton
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo et al.
Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, Sumit Basu, Yi Mao et al.
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs
Aharon Birnbaum, Shai S. Shwartz
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Learning Image Descriptors with the Boosting-Trick
Tomasz Trzcinski, Mario Christoudias, Vincent Lepetit et al.
Learning Invariant Representations of Molecules for Atomization Energy Prediction
Grégoire Montavon, Katja Hansen, Siamac Fazli et al.
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
Andriy Mnih, Yee W. Teh
Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
Learning Mixtures of Tree Graphical Models
Anima Anandkumar, Daniel J. Hsu, Furong Huang et al.
Learning Multiple Tasks using Shared Hypotheses
Koby Crammer, Yishay Mansour
Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan et al.
Learning optimal spike-based representations
Ralph Bourdoukan, David Barrett, Sophie Deneve et al.
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