Qi Yu*

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data

"Noisy few-shot learning (NFSL) presents novel challenges primarily due to the interplay between noisy labels and limited training data. While data cleansing offers a viable solution to address noisy labels in the general learning settings, it exacerbates information loss in FSL due to limited train…