Papers
23,480 papers found
A Biologically Plausible Model for Rapid Natural Scene Identification
Sennay Ghebreab, Steven Scholte, Victor Lamme et al.
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu, Weike Pan, James T. Kwok
Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.
Generative Local Metric Learning for Nearest Neighbor Classification
Yung-kyun Noh, Byoung-tak Zhang, Daniel D. Lee
Generalized roof duality and bisubmodular functions
Vladimir Kolmogorov
Identifying graph-structured activation patterns in networks
James Sharpnack, Aarti Singh
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.
Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence et al.
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
Paul Mckeigue, Jon Krohn, Amos J. Storkey et al.
Gated Softmax Classification
Roland Memisevic, Christopher Zach, Marc Pollefeys et al.
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Dávid Pál, Barnabás Póczos, Csaba Szepesvári
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
Hongbo Zhou, Qiang Cheng
Generating more realistic images using gated MRF's
Marc'aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe, Andreas Krause
Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach, David M. Blei
Energy Disaggregation via Discriminative Sparse Coding
J. Z. Kolter, Siddharth Batra, Andrew Y. Ng
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Dirk Husmeier, Frank Dondelinger, Sophie Lebre
Segmentation as Maximum-Weight Independent Set
William Brendel, Sinisa Todorovic
CUR from a Sparse Optimization Viewpoint
Jacob Bien, Ya Xu, Michael W. Mahoney
Parametric Bandits: The Generalized Linear Case
Sarah Filippi, Olivier Cappe, Aurélien Garivier et al.
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
Wei Chen, Tie-yan Liu, Zhi-ming Ma