Impact of Noisy Supervision in Foundation Model Learning
Foundation models are usually pre-trained on large-scale datasets and then adapted to different downstream tasks through tuning. This pre-training and then fine-tuning paradigm has become a standard practice in deep learning. However, the large-scale pre-training datasets, often inaccessible or too...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 21. März
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| 1. Verfasser: |
Chen, Hao
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Zihan,
Tao, Ran,
Wei, Hongxin,
Xie, Xing,
Sugiyama, Masashi,
Raj, Bhiksha,
Wang, Jindong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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