Papers
9,944 papers found
Canonical Time Warping for Alignment of Human Behavior
Feng Zhou, Fernando Torre
On Learning Rotations
Raman Arora
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz, Alyosha Efros
Abstraction and Relational learning
Charles Kemp, Alan Jern
Online Learning of Assignments
Matthew Streeter, Daniel Golovin, Andreas Krause
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris, Andrew G. Barto
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Abhinav Gupta, Martial Hebert, Takeo Kanade et al.
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
George Konidaris, Scott Kuindersma, Roderic Grupen et al.
Functional Geometry Alignment and Localization of Brain Areas
Georg Langs, Yanmei Tie, Laura Rigolo et al.
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou
A Reduction from Apprenticeship Learning to Classification
Umar Syed, Robert E. Schapire
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi M. Fard, Joelle Pineau
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa, Jan R. Peters
Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach, David M. Blei
Feature Construction for Inverse Reinforcement Learning
Sergey Levine, Zoran Popovic, Vladlen Koltun
Reverse Multi-Label Learning
James Petterson, Tibério S. Caetano
Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy et al.
Synergies in learning words and their referents
Mark Johnson, Katherine Demuth, Bevan Jones et al.
Learning Efficient Markov Networks
Vibhav Gogate, William Webb, Pedro Domingos
Action-Gap Phenomenon in Reinforcement Learning
Amir-massoud Farahmand
Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-eung Kim
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi, Ohad Shamir