Representation Learning

Kronecker Determinantal Point Processes NeurIPS 2016 Language Recognition via Sparse Coding Interspeech 2016 Laplacian Patch-Based Image Synthesis CVPR 2016 Large Margin Discriminant Dimensionality Reduction in Prediction Space NeurIPS 2016 Latent Topic Embedding COLING 2016 Learnable Visual Markers NeurIPS 2016 Learned Region Sparsity and Diversity Also Predicts Visual Attention NeurIPS 2016 Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016 Learning and Testing Junta Distributions COLT 2016 Learning Bayesian networks with ancestral constraints NeurIPS 2016 Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning brain regions via large-scale online structured sparse dictionary learning NeurIPS 2016 Learning Deep Parsimonious Representations NeurIPS 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016 Learning Document Representations Using Subspace Multinomial Model Interspeech 2016 Learning grammatical categories using paradigmatic representations: Substitute words for language acquisition COLING 2016 Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NeurIPS 2016 Learning Infinite RBMs with Frank-Wolfe NeurIPS 2016 Learning Influence Functions from Incomplete Observations NeurIPS 2016 Learning Kernels with Random Features NeurIPS 2016 Learning Multiscale Features Directly from Waveforms Interspeech 2016 Learning Neural Network Representations Using Cross-Lingual Bottleneck Features with Word-Pair Information Interspeech 2016 Learning Planar Ising Models JMLR 2016 Learning Robust Features using Deep Learning for Automatic Seizure Detection MLHC 2016 Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization ICML 2016