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Representation Learning

4,925 papers

Papers per year

7
51
606
487
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Papers

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
Generalized Denoising Auto-Encoders as Generative Models NIPS 2013
Adaptive dropout for training deep neural networks NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
Convex Two-Layer Modeling NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013
Detection Evolution with Multi-order Contextual Co-occurrence 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
Compressible Motion Fields CVPR 2013
Fast Convolutional Sparse Coding 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
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization CVPR 2013
Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013
Histograms of Sparse Codes for Object Detection CVPR 2013