Semi-supervised Learning with Easy Labeled Data via Impartial Labeled Set Extension

Author:

Han Xuan1ORCID,You Mingyu1ORCID,Ma Wanjing1ORCID

Affiliation:

1. Tongji University, Shanghai, China

Funder

Shanghai Innovation Action Plan

National Natural Science Foundation of China

Publisher

ACM

Reference39 articles.

1. Iscen Ahmet , Tolias Giorgos , Avrithis Yannis , and Chum Ondrej . 2019 . Label Propagation for Deep Semi-supervised Learning . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE , Piscataway, NJ, 5070--5079. Iscen Ahmet, Tolias Giorgos, Avrithis Yannis, and Chum Ondrej. 2019. Label Propagation for Deep Semi-supervised Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Piscataway, NJ, 5070--5079.

2. Combining labeled and unlabeled data with co-training

3. Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

4. Baixu Chen , Junguang Jiang , Ximei Wang , Pengfei Wan , Jianmin Wang , and Mingsheng Long . 2022 . Debiased self-training for semi-supervised learning . In Proceedings of the 36th Annual Conference on Neural Information Processing System (NeurIPS). Curran Associates. , New York, NY, 32424--32437. Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, and Mingsheng Long. 2022. Debiased self-training for semi-supervised learning. In Proceedings of the 36th Annual Conference on Neural Information Processing System (NeurIPS). Curran Associates., New York, NY, 32424--32437.

5. Hao Chen , Ran Tao , Yue Fan , Yidong Wang , Jindong Wang , Bernt Schiele , Xing Xie , Bhiksha Raj , and Marios Savvides . 2023 . SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning . In Proceedings of the 11th International Conference on Learning Representations (ICLR). OpenReview.net. Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, and Marios Savvides. 2023. SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. In Proceedings of the 11th International Conference on Learning Representations (ICLR). OpenReview.net.

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