Semi-Supervised Learning

Structured Generative Adversarial Networks NeurIPS 2017 Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NeurIPS 2017 Triple Generative Adversarial Nets NeurIPS 2017 What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017 A Probabilistic Framework for Deep Learning NeurIPS 2016 Improved Techniques for Training GANs NeurIPS 2016 Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NeurIPS 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016 Semi-Supervised Training in Deep Learning Acoustic Model Interspeech 2016 Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NeurIPS 2015 Large-Scale Damage Detection Using Satellite Imagery CVPR 2015 Salient Object Detection via Bootstrap Learning CVPR 2015 Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NeurIPS 2015 Semi-supervised Learning with Ladder Networks NeurIPS 2015 Semi-supervised Sequence Learning NeurIPS 2015 Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Adding Unlabeled Samples to Categories by Learned Attributes CVPR 2013 Dropout Training as Adaptive Regularization NeurIPS 2013 Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 3D Object Recognition with Deep Belief Nets NeurIPS 2009 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Scene Segmentation with CRFs Learned from Partially Labeled Images NeurIPS 2007 Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006