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Found 4 papers, 3 papers with code
Soft Prompt Generation for Domain Generalization
During the inference phase, the generator of the generative model is employed to obtain instance-specific soft prompts for the unseen target domain.
Ranked #3 on
Domain Generalization
on VLCS
Automatic Robotic Development through Collaborative Framework by Large Language Models
Analysts, programmers, and testers form a cohesive team overseeing strategy, code, and parameter adjustments .
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
Therefore, in this paper, we first experimentally demonstrate that the unsupervised-trained VLMs can significantly reduce the distribution discrepancy between source and target domains, thereby improving the performance of UDA.
Ranked #3 on
Unsupervised Domain Adaptation
on Office-31
Improving Cross-domain Few-shot Classification with Multilayer Perceptron
Multilayer perceptron (MLP) has shown its capability to learn transferable representations in various downstream tasks, such as unsupervised image classification and supervised concept generalization.
Ranked #3 on
Cross-Domain Few-Shot
on ChestX
