Self-Supervised Learning

Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Measuring Invariances in Deep Networks NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl NeurIPS 2008 Self-organization using synaptic plasticity NeurIPS 2008 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Emergence of conjunctive visual features by quadratic independent component analysis NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006