Papers
Learning Transferrable Representations for Unsupervised Domain Adaptation
Ozan Sener, Hyun Oh Song, Ashutosh Saxena et al.
Learning Tree Structured Potential Games
Vikas Garg, Tommi Jaakkola
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
Mauro Scanagatta, Giorgio Corani, Cassio P de Campos et al.
Learning under uncertainty: a comparison between R-W and Bayesian approach
He Huang, Martin Paulus
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code
Xuan Huo, Ming Li, Zhi-Hua Zhou
Learning User Perceived Clusters with Feature-Level Supervision
Ting-Yu Cheng, Guiguan Lin, xinyang gong et al.
Learning Using Anti-Training with Sacrificial Data
Michael L. Valenzuela, Jerzy W. Rozenblit
Learning Using Unselected Features (LUFe)
Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting et al.
Learning values across many orders of magnitude
Hado P van Hasselt, Arthur Guez, Arthur Guez et al.
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
Chunyuan Li, Andrew Stevens, Changyou Chen et al.
Learning What and Where to Draw
Scott E Reed, Zeynep Akata, Santosh Mohan et al.
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
Learning With Side Information Through Modality Hallucination
Judy Hoffman, Saurabh Gupta, Trevor Darrell
Learning Word Meta-Embeddings
Wenpeng Yin, Hinrich Schütze
Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces
Ognjen Arandjelovic
Lecture Translator - Speech translation framework for simultaneous lecture translation
Markus Müller, Thai Son Nguyen, Jan Niehues et al.
Length bias in Encoder Decoder Models and a Case for Global Conditioning
Pavel Sountsov, Sunita Sarawagi
Lenient Learning in Independent-Learner Stochastic Cooperative Games
Ermo Wei, Sean Luke
Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression
Ruizhi Qiao, Lingqiao Liu, Chunhua Shen et al.
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski et al.
Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra, Diptesh Kanojia, Seema Nagar et al.
Leveraging FrameNet to Improve Automatic Event Detection
Shulin Liu, Yubo Chen, Shizhu He et al.
Leveraging Inflection Tables for Stemming and Lemmatization.
Garrett Nicolai, Grzegorz Kondrak