Papers
Learning from Contagion (Without Timestamps)
Kareem Amin, Hoda Heidari, Michael Kearns
Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation
Michael Denkowski, Chris Dyer, Alon Lavie
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
Jun Zhu, Junhua Mao, Alan L. Yuille
Learning Generative Models with Visual Attention
Charlie Tang, Nitish Srivastava, Ruslan Salakhutdinov
Learning Grammar with Explicit Annotations for Subordinating Conjunctions
Dongchen Li, Xiantao Zhang, Xihong Wu
Learning Graphical Models With Hubs
Kean Ming Tan, Palma London, Karthik Mohan et al.
Learning Graphs with a Few Hubs
Rashish Tandon, Pradeep Ravikumar
Learning Grounded Meaning Representations with Autoencoders
Carina Silberer, Mirella Lapata
Learning Heterogeneous Hidden Markov Random Fields
Jie Liu, Chunming Zhang, Elizabeth Burnside et al.
Learning Hierarchical Translation Spans
Jingyi Zhang, Masao Utiyama, Eiichiro Sumita et al.
Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
Douwe Kiela, Léon Bottou
Learning Important Spatial Pooling Regions for Scene Classification
Di Lin, Cewu Lu, Renjie Liao et al.
Learning Inhomogeneous FRAME Models for Object Patterns
Jianwen Xie, Wenze Hu, Song-Chun Zhu et al.
Learning Latent Variable Gaussian Graphical Models
Zhaoshi Meng, Brian Eriksson, Al Hero
Learning Mid-level Filters for Person Re-identification
Rui Zhao, Wanli Ouyang, Xiaogang Wang
Learning Mixed Multinomial Logit Model from Ordinal Data
Sewoong Oh, Devavrat Shah
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
Prateek Jain, Sewoong Oh
Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis, Andrea Montanari
Learning Mixtures of Ranking Models
Pranjal Awasthi, Avrim Blum, Or Sheffet et al.
Learning Mixtures of Submodular Functions for Image Collection Summarization
Sebastian Tschiatschek, Rishabh K Iyer, Haochen Wei et al.
Learning Modular Structures from Network Data and Node Variables
Elham Azizi, Edoardo Airoldi, James Galagan
Learning Multiple Tasks in Parallel with a Shared Annotator
Haim Cohen, Koby Crammer
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
Sergey Levine, Pieter Abbeel
Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation
Shixiang Lu, Zhenbiao Chen, Bo Xu