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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Selecting Diverse Features via Spectral Regularization NIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012
Searching for objects driven by context NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012
A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction IJCNLP 2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NIPS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning NIPS 2011
Sparse Bayesian Multi-Task Learning NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011
Autonomous Learning of Action Models for Planning NIPS 2011
On Herding and the Perceptron Cycling Theorem NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Spike timing-dependent plasticity as dynamic filter NIPS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Parametric Herding AISTATS 2010
Towards Understanding Situated Natural Language AISTATS 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NIPS 2010
No evidence for active sparsification in the visual cortex NIPS 2009