Zhang Guo

TIM++: Transductive Information Maximization for Few-Shot CLIP

Transductive Information Maximization (TIM) is a leading transductive few-shot learning method that maximizes the mutual information between query features and their predicted labels, while incorporating supervision from the support set. However, its potential remains underexplored, primarily due to