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Representation Learning

18863 directly classified papers

Papers per year

Papers

Inference and Learning in Networks of Queues AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Phoneme Recognition with Large Hierarchical Reservoirs NIPS 2010
Fractionally Predictive Spiking Neurons NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Feature Construction for Inverse Reinforcement Learning NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Tiled convolutional neural networks NIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010