Papers
Learning Infinite RBMs with Frank-Wolfe
Wei Ping, Qiang Liu, Alex Ihler
Learning Influence Functions from Incomplete Observations
Xinran He, Ke Xu, David Kempe et al.
Learning in Games: Robustness of Fast Convergence
Dylan J Foster, Zhiyuan Li, Thodoris Lykouris et al.
Learning Kernels with Random Features
Aman Sinha, John C. Duchi
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation
Nuaman Asbeh, Boaz Lerner
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview
Nuaman Asbeh, Boaz Lerner
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro, Ian Reid
Learning Mixtures of Plackett-Luce Models
Zhibing Zhao, Peter Piech, Lirong Xia
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar, arthur szlam, Rob Fergus
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam, Bohyung Han
Learning Multiscale Features Directly from Waveforms
Zhenyao Zhu, Jesse H. Engel, Awni Hannun
Learning Neural Network Representations Using Cross-Lingual Bottleneck Features with Word-Pair Information
Yougen Yuan, Cheung-Chi Leung, Lei Xie et al.
Learning N-Gram Language Models from Uncertain Data
Vitaly Kuznetsov, Hank Liao, Mehryar Mohri et al.
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
Jianhui Chen, Hoang M. Le, Peter Carr et al.
Learning Parameters of Hybrid Time Bayesian Networks
Manxia Liu, Arjen Hommersom, Maarten van der Heijden et al.
Learning Parametric Sparse Models for Image Super-Resolution
Yongbo Li, Weisheng Dong, Xuemei Xie et al.
Learning Personalized Pronunciations for Contact Name Recognition
Antoine Bruguier, Fuchun Peng, Françoise Beaufays
Learning Physical Intuition of Block Towers by Example
Adam Lerer, Sam Gross, Rob Fergus
Learning Planar Ising Models
Jason K. Johnson, Diane Oyen, Michael Chertkov et al.
Learning Population-Level Diffusions with Generative RNNs
Tatsunori Hashimoto, David Gifford, Tommi Jaakkola
Learning privately from multiparty data
Jihun Hamm, Yingjun Cao, Mikhail Belkin
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
Sebastian Tschiatschek, Josip Djolonga, Andreas Krause
Learning Reconstruction-Based Remote Gaze Estimation
Pei Yu, Jiahuan Zhou, Ying Wu
Learning Relationships between Data Obtained Independently
Alexandra Carpentier, Teresa Schlueter
Learning Relaxed Deep Supervision for Better Edge Detection
Yu Liu, Michael S. Lew