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cs.LG2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang, Zhixiang Chi, Yanan Wu +4
Given a model trained on source data, Test-Time Adaptation (TTA) enables adaptation and inference in test data streams with domain shifts from the source. Current methods predomina…
cs.LG2022★ 1 cited
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh +2
We consider a new problem of few-shot learning of compact models. Meta-learning is a popular approach for few-shot learning. Previous work in meta-learning typically assumes that t…