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Representation Learning

18863 directly classified papers

Papers per year

Papers

On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
Factorized Diffusion Map Approximation AISTATS 2012
Supervised Dimension Reduction with Topic Models ACML 2012
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation AISTATS 2012
Hamming Distance Metric Learning NIPS 2012
Exact Recovery of Sparsely-Used Dictionaries COLT 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Projection Retrieval for Classification NIPS 2012
Selecting Diverse Features via Spectral Regularization NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Unsupervised Structure Discovery for Semantic Analysis of Audio NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Locally Uniform Comparison Image Descriptor NIPS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012