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Found 2 papers, 2 papers with code
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
By doing so, queries and channel-mixing multi-layer perceptron layers of a target model are fine-tuned to target tasks to learn how to effectively exploit rich representations of pretrained models.
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
These limitations include a lack of principled ways to determine optimal hyperparameters and performance degradation when the unlabeled target data fail to meet certain requirements such as a closed-set and identical label distribution to the source data.
Source-Free Domain Adaptation
Unsupervised Domain Adaptation
