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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Semi-Supervised Learning under Class Distribution Mismatch

February 1, 2023

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Authors

Yanbei Chen

Queen Mary University of London


Xiatian Zhu

Queen Mary University of London


Wei Li

Queen Mary University of London


Shaogang Gong

Queen Mary University of London


DOI:

10.1609/aaai.v34i04.5763


Abstract:

Semi-supervised learning (SSL) aims to avoid the need for collecting prohibitively expensive labelled training data. Whilst demonstrating impressive performance boost, existing SSL methods artificially assume that small labelled data and large unlabelled data are drawn from the same class distribution. In a more realistic scenario with class distribution mismatch between the two sets, they often suffer severe performance degradation due to error propagation introduced by irrelevant unlabelled samples. Our work addresses this under-studied and realistic SSL problem by a novel algorithm named Uncertainty-Aware Self-Distillation (UASD). Specifically, UASD produces soft targets that avoid catastrophic error propagation, and empower learning effectively from unconstrained unlabelled data with out-of-distribution (OOD) samples. This is based on joint Self-Distillation and OOD filtering in a unified formulation. Without bells and whistles, UASD significantly outperforms six state-of-the-art methods in more realistic SSL under class distribution mismatch on three popular image classification datasets: CIFAR10, CIFAR100, and TinyImageNet.

Topics: AAAI

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HOW TO CITE:

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong Semi-Supervised Learning under Class Distribution Mismatch Proceedings of the AAAI Conference on Artificial Intelligence (2020) 3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong Semi-Supervised Learning under Class Distribution Mismatch AAAI 2020, 3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong (2020). Semi-Supervised Learning under Class Distribution Mismatch. Proceedings of the AAAI Conference on Artificial Intelligence, 3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. Semi-Supervised Learning under Class Distribution Mismatch. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. 2020. Semi-Supervised Learning under Class Distribution Mismatch. "Proceedings of the AAAI Conference on Artificial Intelligence". 3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. (2020) "Semi-Supervised Learning under Class Distribution Mismatch", Proceedings of the AAAI Conference on Artificial Intelligence, p.3569-3576

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong, "Semi-Supervised Learning under Class Distribution Mismatch", AAAI, p.3569-3576, 2020.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. "Semi-Supervised Learning under Class Distribution Mismatch". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. "Semi-Supervised Learning under Class Distribution Mismatch". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 3569-3576.

Yanbei Chen||Xiatian Zhu||Wei Li||Shaogang Gong. Semi-Supervised Learning under Class Distribution Mismatch. AAAI[Internet]. 2020[cited 2023]; 3569-3576.


ISSN: 2374-3468


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