SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du; Yizeng Han; Gao Huang

2024 ICML ICML 2024

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Chaoqun Du, Yizeng Han, Gao Huang

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Domain Adaptation

Keywords

semi-supervised learning expectation maximization probabilistic framework bayes classifier class distribution estimation pseudo-labels

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