Class-Imbalanced Semi-Supervised Learningwith Adaptive Thresholding Guo, L. Z., & Li, Y. F. (2022, June). Class-imbalanced semi-supervised learning with adaptive thresholding. In International Conference on Machine Learning (pp. 8082-8094). PMLR. 본 논문은 기존의 FixMatch 방법론에서 high fixed confidence threshold의 문제가 있기 때문에 'Adaptive Threshold'이 필요하다고 주장하는 논문이다. 특히, imbalanced semi-supervised (lon..

FixMatch : Simplifying Semi-Supervised Learning with Consistency and Confidence Sohn, K., Berthelot, D., Carlini, N., Zhang, Z., Zhang, H., Raffel, C. A., ... & Li, C. L. (2020). Fixmatch: Simplifying semi-supervised learning with consistency and confidence. Advances in neural information processing systems, 33, 596-608. 본 논문은 Semi-supervised Learning에서 MixMatch 그리고 ReMixMatch와 함께 backbone archi..

MixMatch : A Holistic Approach to Semi-Supervised Learning Berthelot, D., Carlini, N., Goodfellow, I., Papernot, N., Oliver, A., & Raffel, C. A. (2019). Mixmatch: A holistic approach to semi-supervised learning. Advances in neural information processing systems, 32. 본 논문은 2019년 Nips에 발표된 논문으로, semi-supervised learning에서 'FixMatch'와 마찬가지로 대표적인 논문 중 하나이다. 물론 다음 논문으로 'ReMixMatch'가 있..