most citedTransfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Learning to Optimize with Dynamic Mode Decomposition

Petr Šimánek, Daniel Vašata, Pavel Kordík

Designing faster optimization algorithms is of ever-growing interest. In recent years, learning to learn methods that learn how to optimize demonstrated very encouraging results. C…

cs.LG2021★ 9 cited

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network

Tomáš Chobola, Daniel Vašata, Pavel Kordík

MetaDL Challenge 2020 focused on image classification tasks in few-shot settings. This paper describes second best submission in the competition. Our meta learning approach modifie…