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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Feature Set Embedding for Incomplete Data NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010
Sphere Embedding: An Application to Part-of-Speech Induction NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Deep Coding Network NIPS 2010
Half Transductive Ranking AISTATS 2010
On Invariance in Hierarchical Models NIPS 2009
Measuring Invariances in Deep Networks NIPS 2009
Analyzing human feature learning as nonparametric Bayesian inference NIPS 2008
Learning Taxonomies by Dependence Maximization NIPS 2008
Retrieved context and the discovery of semantic structure NIPS 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Learning Image Components for Object Recognition JMLR 2006
Similarity by Composition NIPS 2006
Recursive Attribute Factoring NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Learning Parts-Based Representations of Data JMLR 2006
Learning to Traverse Image Manifolds NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Multi-Task Feature Learning NIPS 2006
A General Framework for Distributional Similarity EMNLP 2003