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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Bilinear Discriminant Component Analysis JMLR 2007
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007
Fast Iterative Kernel Principal Component Analysis JMLR 2007
Refinable Kernels JMLR 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Semantic Modeling of Places using Objects RSS 2007
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Learning to Traverse Image Manifolds NIPS 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Multi-Task Feature Learning NIPS 2006
Blind source separation for over-determined delayed mixtures NIPS 2006
Modeling Human Motion Using Binary Latent Variables NIPS 2006
Towards a general independent subspace analysis NIPS 2006
In-Network PCA and Anomaly Detection NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Recursive Attribute Factoring NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006