Probabilistic Contrastive Test-Time Adaptation

Test-time adaptation (TTA) enhances generalization against out-of-distribution data during inference. Recent advances in TTA leverage some techniques such as contrastive learning and entropy minimization to improve the discriminability and robustness of models in target domains. However, existing me...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	You, Linjing, Lu, Jiabao, Huang, Xiayuan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.04.2025
Schlagworte:	Adaptation models Contrastive learning Distribution Shifts Entropy Heavily-tailed distribution Label Shifts Minimization Probabilistic Contrastive Learning Probabilistic logic Robustness Signal processing Signal processing algorithms Speech processing Test-Time Adaptation
ISSN:	2379-190X
Online-Zugang:	Volltext
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