 Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as
Positive ExamplesIEEE Access (IEEE Access), 2024 |
 Robust Semi-Supervised Learning for Self-learning Open-World ClassesIndustrial Conference on Data Mining (IDM), 2023 |
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 Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy
Label LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 |
