Semi-Supervised Learning

Proposal Learning for Semi-Supervised Object Detection WACV 2021 Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning ICCV 2021 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation ICLR 2021 PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021 Quality Estimation without Human-labeled Data EACL 2021 RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021 Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model Interspeech 2021 Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation ICCV 2021 ReLU Regression with Massart Noise NeurIPS 2021 REM: Efficient Semi-Automated Real-Time Moderation of Online Forums ACL 2021 Rethinking Graph Regularization for Graph Neural Networks AAAI 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization AAAI 2021 Revisiting ResNets: Improved Training and Scaling Strategies NeurIPS 2021 Revisiting Self-training for Few-shot Learning of Language Model EMNLP 2021 Revisiting Tri-training of Dependency Parsers EMNLP 2021 Row-clustering of a Point Process-valued Matrix NeurIPS 2021 Safe Weakly Supervised Learning IJCAI 2021 SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction AAAI 2021 Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows WACV 2021 Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning EACL 2021 Scaling Up Instance Annotation via Label Propagation ICCV 2021 Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels NeurIPS 2021 Self-Paced Ensemble Learning for Speech and Audio Classification Interspeech 2021