Papers
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Varun Jampani, Martin Kiefel, Peter V. Gehler
Learning Stable Linear Dynamical Systems with the Weighted Least Square Method
Wenbing Huang, Lele Cao, Fuchun Sun et al.
Learning Structured Inference Neural Networks With Label Relations
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng et al.
Learning Structured Low-Rank Representation via Matrix Factorization
Jie Shen, Ping Li
Learning Structured Predictors from Bandit Feedback for Interactive NLP
Artem Sokolov, Julia Kreutzer, Christopher Lo et al.
Learning Structured Sparsity in Deep Neural Networks
Wei Wen, Chunpeng Wu, Yandan Wang et al.
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
Lev Bogolubsky, Pavel Dvurechenskii, Alexander Gasnikov et al.
Learning Taxonomy Adaptation in Large-scale Classification
Rohit Babbar, Ioannis Partalas, Eric Gaussier et al.
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann et al.
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network
Anh Tuan Luu, Yi Tay, Siu Cheung Hui et al.
Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri, Philip Resnik, Jordan Boyd-Graber et al.
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov, Manaal Faruqui, Wang Ling et al.
Learning the Number of Neurons in Deep Networks
Jose M Alvarez, Mathieu Salzmann
Learning Theory for Distribution Regression
Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos et al.
Learning the Variance of the Reward-To-Go
Aviv Tamar, Dotan Di Castro, Shie Mannor
Learning to Answer Questions from Wikipedia Infoboxes
Alvaro Morales, Varot Premtoon, Cordelia Avery et al.
Learning to Assign Orientations to Feature Points
Kwang Moo Yi, Yannick Verdie, Pascal Fua et al.
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study
Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu
Learning to Co-Generate Object Proposals With a Deep Structured Network
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas et al.
Learning to Compose Neural Networks for Question Answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell et al.
Learning to Detect Concepts from Webly-Labeled Video Data
Junwei Liang, Lu Jiang, Deyu Meng et al.
Learning to Distill: The Essence Vector Modeling Framework
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen et al.
Learning to Filter with Predictive State Inference Machines
Wen Sun, Arun Venkatraman, Byron Boots et al.