Representation Learning

Large-scale SVD and Manifold Learning JMLR 2013 Latent Maximum Margin Clustering NeurIPS 2013 Latent Structured Active Learning NeurIPS 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning a Dictionary of Shape Epitomes with Applications to Image Labeling ICCV 2013 Learning a Manifold as an Atlas CVPR 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions CVPR 2013 Learning Fair Representations ICML 2013 Learning from Human-Generated Lists ICML 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning invariant features by harnessing the aperture problem ICML 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Multi-level Sparse Representations NeurIPS 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013 Learning Separable Filters CVPR 2013 Learning Slow Features for Behaviour Analysis ICCV 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013 Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013