Semi-Supervised Learning

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty AAAI 2019 Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition NeurIPS 2019 Multiple Independent Subspace Clusterings AAAI 2019 Multiple Noisy Label Distribution Propagation for Crowdsourcing IJCAI 2019 Multi-Resolution Weak Supervision for Sequential Data NeurIPS 2019 Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue EMNLP 2019 Multi-View Active Learning for Video Recommendation IJCAI 2019 Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019 NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep SemEval 2019 Neural Self-Training through Spaced Repetition NAACL 2019 N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification UAI 2019 NLNL: Negative Learning for Noisy Labels ICCV 2019 No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects ACL 2019 NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection ICCV 2019 On Adversarial Mixup Resynthesis NeurIPS 2019 On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data ICLR 2019 OpenCeres: When Open Information Extraction Meets the Semi-Structured Web NAACL 2019 Orderly Subspace Clustering AAAI 2019 Paraphrase Generation for Semi-Supervised Learning in NLU NAACL 2019 Partial Label Learning with Unlabeled Data IJCAI 2019 Partial Multi-Label Learning via Credible Label Elicitation AAAI 2019 Partial Or Complete, That’s The Question NAACL 2019 Personal Context Recognition via Skeptical Learning IJCAI 2019 PGANs: Personalized Generative Adversarial Networks for ECG Synthesis to Improve Patient-Specific Deep ECG Classification AAAI 2019