Alexandro Galan-Cuenca

Few-shot learning evaluation protocols may overestimate model performance

A new paper critically examines the assumptions behind few-shot learning evaluations, particularly the common practice of pre-training models on large auxiliary datasets. Researchers found that pre-training, even with c…