Fine-tuning foundation models such as CLIP gives large, robust gains in partial label learning and makes the choice of PLL algorithm nearly irrelevant.
Candidate pseudolabel learning: Enhancing vision-language models by prompt tuning with unlabeled data
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Tuning the Right Foundation Models is What you Need for Partial Label Learning
Fine-tuning foundation models such as CLIP gives large, robust gains in partial label learning and makes the choice of PLL algorithm nearly irrelevant.