semi-supervised learning

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach EMNLP 2019 Improved Semi-Supervised Learning with Multiple Graphs AISTATS 2019 Improving Cross-Domain Chinese Word Segmentation with Word Embeddings NAACL 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Interpolation Consistency Training for Semi-supervised Learning IJCAI 2019 Invariant Information Clustering for Unsupervised Image Classification and Segmentation ICCV 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology MIDL 2019 Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization ACL 2019 Joint Representative Selection and Feature Learning: A Semi-Supervised Approach CVPR 2019 Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach AAAI 2019 KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing CVPR 2019 Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019 LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition AAAI 2019 Label Propagation for Deep Semi-Supervised Learning CVPR 2019 Latent Multi-view Semi-Supervised Classification ACML 2019 Lattice-Based Lightly-Supervised Acoustic Model Training Interspeech 2019 Learning 3D Human Dynamics From Video CVPR 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning Only from Relevant Keywords and Unlabeled Documents EMNLP 2019 Learning Temporal Action Proposals With Fewer Labels ICCV 2019 Learning to Learn From Noisy Labeled Data CVPR 2019 Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019