Representation Learning

Structured Prediction via Output Space Search JMLR 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Temporal Sequence Modeling for Video Event Detection CVPR 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Time-Mapping Using Space-Time Saliency CVPR 2014 Timing-Based Local Descriptor for Dynamic Surfaces CVPR 2014 To go deep or wide in learning? AISTATS 2014 Topic Modeling of Multimodal Data: An Autoregressive Approach CVPR 2014 Towards End-To-End Speech Recognition with Recurrent Neural Networks ICML 2014 Towards Multi-view and Partially-Occluded Face Alignment CVPR 2014 Triangulation Embedding and Democratic Aggregation for Image Search CVPR 2014 Two-Stage Metric Learning ICML 2014 Unbiased Generative Semi-Supervised Learning JMLR 2014 Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014 Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014 Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014 Universal Option Models NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Unsupervised learning of an efficient short-term memory network NeurIPS 2014 Unsupervised Learning of Dictionaries of Hierarchical Compositional Models CVPR 2014