Papers
Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen et al.
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak Dalalyan, Mohamed Hebiri, Katia Meziani et al.
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-Kuo Huang, Jeff Schneider
Learning High-Order Task Relationships in Multi-Task Learning
Yu Zhang, Dit-Yan Yeung
Learning invariant features by harnessing the aperture problem
Roland Memisevic, Georgios Exarchakis
Learning invariant representations and applications to face verification
Qianli Liao, Joel Z. Leibo, Tomaso Poggio
Learning Kernels Using Local Rademacher Complexity
Corinna Cortes, Marius Kloft, Mehryar Mohri
Learning Latent Personas of Film Characters
David Bamman, Brendan O’Connor, Noah A. Smith
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering
Min Xiao, Feipeng Zhao, Yuhong Guo
Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Daniel Hsu, Adel Javanmard et al.
Learning Locally-Adaptive Decision Functions for Person Verification
Zhen Li, Shiyu Chang, Feng Liang et al.
Learning Markov Networks With Arithmetic Circuits
Daniel Lowd, Amirmohammad Rooshenas
Learning Maximum Margin Temporal Warping for Action Recognition
Jiang Wang, Ying Wu
Learning Multi-level Sparse Representations
Ferran Diego Andilla, Fred A. Hamprecht
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
Javier Almingol, Lui Montesano, Manuel Lopes
Learning Multiple Models via Regularized Weighting
Daniel Vainsencher, Shie Mannor, Huan Xu
Learning Multiple Non-linear Sub-spaces Using K-RBMs
Siddhartha Chandra, Shailesh Kumar, C.V. Jawahar
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection
Tianfu Wu, Song-Chun Zhu
Learning Non-linear Features for Machine Translation Using Gradient Boosting Machines
Kristina Toutanova, Byung-Gyu Ahn
Learning Optimally Sparse Support Vector Machines
Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
Tu Dinh Nguyen, Truyen Tran, Dinh Phung et al.
Learning People Detectors for Tracking in Crowded Scenes
Siyu Tang, Mykhaylo Andriluka, Anton Milan et al.
Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue et al.
Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh, Umar Syed
Learning Probabilistic Models for Mobile Manipulation Robots
Jürgen Sturm, Wolfram Burgard