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semi-supervised learning

2341 papers

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Also known as

SSL SEMISL SEMI-SL

Co-occurring keywords

text classification (6793) domain adaptation (4595) representation learning (6206) data augmentation (3052) semantic segmentation (3186) contrastive learning (4032) pseudo labeling (312) graph neural network (3962) transfer learning (5449) label propagation (185)

Papers

Semi-supervisedly Co-embedding Attributed Networks NIPS 2019
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings NAACL 2019
GAN Driven Semi-distant Supervision for Relation Extraction NAACL 2019
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web NAACL 2019
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content IJCNLP 2019
Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments MLHC 2019
Phenotype Inference with Semi-Supervised Mixed Membership Models MLHC 2019
On Adversarial Mixup Resynthesis NIPS 2019
Investigating the effect of novel classes in semi-supervised learning ACML 2019
Semi-supervised Text Style Transfer: Cross Projection in Latent Space EMNLP 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification NIPS 2019
Unlocking Fairness: a Trade-off Revisited NIPS 2019
Unlabeled Data Improves Adversarial Robustness NIPS 2019
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation MIDL 2019
Neural Self-Training through Spaced Repetition NAACL 2019
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining SEMEVAL 2019
When can unlabeled data improve the learning rate? COLT 2019
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding CVPR 2019
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification UAI 2019
Orderly Subspace Clustering AAAI 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing ICML 2019
Learning to Learn From Noisy Labeled Data CVPR 2019
Fisher-Bures Adversary Graph Convolutional Networks UAI 2019
Partial Label Learning with Unlabeled Data IJCAI 2019
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology MIDL 2019