← Learning Types
Machine Learning › Learning Types ›

Representation Learning

2843 directly classified papers

Papers per year

Papers

Label-Embedding for Attribute-Based Classification CVPR 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization CVPR 2013
In Defense of Sparsity Based Face Recognition CVPR 2013
All About VLAD CVPR 2013
From Local Similarity to Global Coding: An Application to Image Classification CVPR 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Least Informative Dimensions NIPS 2013
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NIPS 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit NIPS 2013
Pedestrian Parsing via Deep Decompositional Network ICCV 2013
Deep content-based music recommendation NIPS 2013
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction ICCV 2013
Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search ICCV 2013
Collective Stability in Structured Prediction: Generalization from One Example ICML 2013
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013
Relative Attributes for Large-Scale Abandoned Object Detection ICCV 2013
Maximum Mean Discrepancy Imitation Learning RSS 2013