Papers
Learning Convex QP Relaxations for Structured Prediction
Jeremy Jancsary, Sebastian Nowozin, Carsten Rother
Learning Coupled Feature Spaces for Cross-Modal Matching
Kaiye Wang, Ran He, Wei Wang et al.
Learning CRFs for Image Parsing with Adaptive Subgradient Descent
Honghui Zhang, Jingdong Wang, Ping Tan et al.
Learning Discriminative Part Detectors for Image Classification and Cosegmentation
Jian Sun, Jean Ponce
Learning Discriminative Representations from RGB-D Video Data
Li Liu, Ling Shao
Learning Distributions over Logical Forms for Referring Expression Generation
Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer
Learning Domain Differences Automatically for Dependency Parsing Adaptation
Mo Yu, Tiejun Zhao, Yalong Bai
Learning Efficient Information Extraction on Heterogeneous Texts
Henning Wachsmuth, Benno Stein, Gregor Engels
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet et al.
Learning Entity Representation for Entity Disambiguation
Zhengyan He, Shujie Liu, Mu Li et al.
Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky et al.
Learning Feature Selection Dependencies in Multi-task Learning
Daniel Hernández-Lobato, José Miguel Hernández-Lobato
Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering
Wentao Fan, Nizar Bouguila
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets
Aurelien Lucchi, Yunpeng Li, Pascal Fua
Learning from Human-Generated Lists
Kwang-Sung Jun, Jerry Zhu, Burr Settles et al.
Learning from Limited Demonstrations
Beomjoon Kim, Amir-massoud Farahmand, Joelle Pineau et al.
Learning from Polyhedral Sets
Salvatore Ruggieri
Learning Gaussian Graphical Models with Observed or Latent FVSs
Ying Liu, Alan Willsky
Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
Quanshi Zhang, Xuan Song, Xiaowei Shao et al.
Learning Graphs to Match
Minsu Cho, Karteek Alahari, Jean Ponce
Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching
Daniel Kane, Adam Klivans, Raghu Meka
Learning Hash Codes with Listwise Supervision
Jun Wang, Wei Liu, Andy X. Sun et al.