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Representation Learning

20,822 papers

Papers per year

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309
2011
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Papers

Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019
Learning Invariant Representations with Kernel Warping AISTATS 2019
Autoencoding any Data through Kernel Autoencoders AISTATS 2019
Auto-Encoding Total Correlation Explanation AISTATS 2019
Black Box Quantiles for Kernel Learning AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
Stochastic algorithms with descent guarantees for ICA AISTATS 2019
Inverting Supervised Representations with Autoregressive Neural Density Models AISTATS 2019
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring AISTATS 2019
Learning Natural Programs from a Few Examples in Real-Time AISTATS 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019
Towards Optimal Transport with Global Invariances AISTATS 2019
Lovasz Convolutional Networks AISTATS 2019
Implicit Kernel Learning AISTATS 2019
Learning Controllable Fair Representations AISTATS 2019
The Termination Critic AISTATS 2019
Probabilistic Semantic Inpainting with Pixel Constrained CNNs AISTATS 2019
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019
Structured Disentangled Representations AISTATS 2019
Overcomplete Independent Component Analysis via SDP AISTATS 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Correspondence Analysis Using Neural Networks AISTATS 2019
A Unified Weight Learning Paradigm for Multi-view Learning AISTATS 2019