← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4516 directly classified papers

Papers per year

Papers

Learning Video Saliency from Human Gaze Using Candidate Selection CVPR 2013
Recognizing Activities via Bag of Words for Attribute Dynamics CVPR 2013
Robust Object Co-detection CVPR 2013
Cartesian K-Means CVPR 2013
Robust Region Grouping via Internal Patch Statistics CVPR 2013
What Makes a Patch Distinct? CVPR 2013
Learning the Change for Automatic Image Cropping CVPR 2013
Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models CVPR 2013
Self-Paced Learning for Long-Term Tracking CVPR 2013
A Novel Two-Step Method for Cross Language Representation Learning NIPS 2013
Translating Embeddings for Modeling Multi-relational Data NIPS 2013
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
Wavelets on Graphs via Deep Learning NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013
Unsupervised Template Learning for Fine-Grained Object Recognition NIPS 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Deep Learning of Invariant Features via Simulated Fixations in Video NIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012