Papers
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors
Chun-Nam Yu, Russell Greiner, Hsiu-Chin Lin et al.
Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic, Ivan Laptev
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
Angela Yao, Juergen Gall, Luc V. Gool et al.
Learning Rules from Incomplete Examples via Implicit Mention Models
Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani et al.
Learning Scale Free Networks by Reweighted $\ell_1$ regularization
Qiang Liu, Alexander Ihler
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation
Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles et al.
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen J. Xiang, Hao Xu, Peter J. Ramadge
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Carolina Parada, Mark Dredze, Abhinav Sethy et al.
Learning the Information Status of Noun Phrases in Spoken Dialogues
Altaf Rahman, Vincent Ng
Learning the Latent Topics for Question Retrieval in Community QA
Li Cai, Guangyou Zhou, Kang Liu et al.
Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman et al.
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
Marc Deisenroth, Carl Rasmussen, Dieter Fox
Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments
Michael Mohler, Razvan Bunescu, Rada Mihalcea
Learning to Learn with Compound HD Models
Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov
Learning to Locate Relative Outliers
Shukai Li, Ivor W. Tsang
Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao et al.
Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming
Kristian Woodsend, Mirella Lapata
Learning to Transform and Select Elementary Trees for Improved Syntax-based Machine Translations
Bing Zhao, Young-Suk Lee, Xiaoqiang Luo et al.
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S.R.K. Branavan, David Silver, Regina Barzilay
Learning Transformation Models for Ranking and Survival Analysis
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens et al.
Learning unbelievable probabilities
Zachary Pitkow, Yashar Ahmadian, Ken D. Miller
Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
Yoshimasa Tsuruoka, Yusuke Miyao, Jun’ichi Kazama
Learning with Structured Sparsity
Junzhou Huang, Tong Zhang, Dimitris Metaxas
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ohad Shamir, Nati Srebro et al.
Learning Word Vectors for Sentiment Analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham et al.