Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning

Kai Gan; Tong Wei

2024 ICML ICML 2024

Erasing the Bias: Fine-Tuning Foundation Models for 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

Kai Gan, Tong Wei

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Application Areas > Domain Adaptation Machine Learning > Learning Types > Transfer Learning

Keywords

semi-supervised learning label smoothing foundation model fine tuning state of the art balanced margin softmax

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