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Representation Learning

4,925 papers

Papers per year

7
51
606
487
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Papers

Convolutional Kernel Networks NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Learning Distributed Representations for Structured Output Prediction NIPS 2014
Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
Deep Recursive Neural Networks for Compositionality in Language NIPS 2014
A statistical model for tensor PCA NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NIPS 2014
Discriminative Metric Learning by Neighborhood Gerrymandering NIPS 2014
Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Predicting Matchability CVPR 2014
Neural Decision Forests for Semantic Image Labelling CVPR 2014
Pulling Things out of Perspective CVPR 2014
Learning Mid-level Filters for Person Re-identification CVPR 2014
When 3D Reconstruction Meets Ubiquitous RGB-D Images CVPR 2014
Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014
A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014
Deep Learning Face Representation from Predicting 10,000 Classes CVPR 2014