9 citations · 10 across the 3 of their papers we have counts for
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cs.LG2023
Investigation into the Training Dynamics of Learned Optimizers
Jan Sobotka, Petr Šimánek, Daniel Vašata
Optimization is an integral part of modern deep learning. Recently, the concept of learned optimizers has emerged as a way to accelerate this optimization process by replacing trad…
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…