Self-Supervised Learning

Imitation Learning by Coaching NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012 Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Selecting Diverse Features via Spectral Regularization NeurIPS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction IJCNLP 2011 Autonomous Learning of Action Models for Planning NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010