Representation Learning

Latent Gaussian Models for Topic Modeling AISTATS 2014 Latent Semantic Representation Learning for Scene Classification ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning Bilingual Word Representations by Marginalizing Alignments ACL 2014 Learning Character-level Representations for Part-of-Speech Tagging ICML 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition CVPR 2014 Learning Graphical Models With Hubs JMLR 2014 Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014 Learning Important Spatial Pooling Regions for Scene Classification CVPR 2014 Learning Inhomogeneous FRAME Models for Object Patterns CVPR 2014 Learning Latent Variable Gaussian Graphical Models ICML 2014 Learning Mid-level Filters for Person Re-identification CVPR 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Ordered Representations with Nested Dropout ICML 2014 Learning Receptive Fields for Pooling from Tensors of Feature Response CVPR 2014 Learning Scalable Discriminative Dictionary with Sample Relatedness CVPR 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014