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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

Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
On Nonparametric Guidance for Learning Autoencoder Representations AISTATS 2012
A Geometric take on Metric Learning NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012
Multimodal Learning with Deep Boltzmann Machines NIPS 2012
Data dependent kernels in nearly-linear time AISTATS 2012
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Hamming Distance Metric Learning NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
Kernel Analysis of Deep Networks JMLR 2011
Shallow vs. Deep Sum-Product Networks NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
The Manifold Tangent Classifier NIPS 2011
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NIPS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Selecting Receptive Fields in Deep Networks NIPS 2011
Sparse Filtering NIPS 2011
Evolving Static Representations for Task Transfer JMLR 2010