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Representation Learning

4516 directly classified papers

Papers per year

Papers

Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Latent Semantic Representation Learning for Scene Classification ICML 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Convex Two-Layer Modeling NIPS 2013
Ensemble Projection for Semi-supervised Image Classification ICCV 2013
Fine-Grained Categorization by Alignments ICCV 2013
Data-Driven 3D Primitives for Single Image Understanding ICCV 2013
Predicting an Object Location Using a Global Image Representation ICCV 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Detection Evolution with Multi-order Contextual Co-occurrence CVPR 2013
Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013
POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation CVPR 2013
Sparse Quantization for Patch Description CVPR 2013
Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013
Adding Unlabeled Samples to Categories by Learned Attributes CVPR 2013
Diffusion Processes for Retrieval Revisited CVPR 2013
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013
Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013
Histograms of Sparse Codes for Object Detection CVPR 2013