semi-supervised learning

VAE Learning via Stein Variational Gradient Descent NeurIPS 2017 What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017 When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017 XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model SemEval 2017 A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding Interspeech 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 Asymptotic behavior of \ell_p-based Laplacian regularization in semi-supervised learning COLT 2016 Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016 A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016 Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks Interspeech 2016 Auxiliary Deep Generative Models ICML 2016 beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NeurIPS 2016 Deconstructing the Ladder Network Architecture ICML 2016 Decrypting “Cryptogenic” Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients JMLR 2016 DNN-Based Speaker Clustering for Speaker Diarisation Interspeech 2016 Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016 Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training COLING 2016 Factored Temporal Sigmoid Belief Networks for Sequence Learning ICML 2016 How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image CVPR 2016 Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016 Improved Techniques for Training GANs NeurIPS 2016 Improving Deep Neural Networks Based Speaker Verification Using Unlabeled Data Interspeech 2016 Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016 Investigation of Semi-Supervised Acoustic Model Training Based on the Committee of Heterogeneous Neural Networks Interspeech 2016 Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016