Papers
173,579 papers found
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 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 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 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.
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
David Wingate, Andreas Stuhlmueller, Noah Goodman
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Zhouchen Lin, Risheng Liu, Zhixun Su
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue, Carlos Guestrin
Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola
Load Balancing for Mobility-on-Demand Systems
Marco Pavone, Stephen Smith, Emilio Frazzoli et al.
Locally Defined Principal Curves and Surfaces
Umut Ozertem, Deniz Erdogmus
Logistic Stick-Breaking Process
Lu Ren, Lan Du, Lawrence Carin et al.
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
Lower Bounds for Passive and Active Learning
Maxim Raginsky, Alexander Rakhlin
LPmade: Link Prediction Made Easy
Ryan N. Lichtenwalter, Nitesh V. Chawla
Lying Pose Recognition for Elderly Fall Detection
Simin Wang, Salim Zabir, Bastian Leibe
Machine Learning Markets
Amos Storkey
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
Nitesh Shroff, Pavan Turaga, Rama Chellappa
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-eung Kim
Matrix Completion for Multi-label Image Classification
Ricardo S. Cabral, Fernando Torre, Joao P. Costeira et al.