no code implementations • 12 Dec 2023 • Jan Sobotka, Petr Šimánek, Daniel Vašata
Optimization is an integral part of modern deep learning.
no code implementations • 29 Nov 2022 • Petr Šimánek, Daniel Vašata, Pavel Kordík
Designing faster optimization algorithms is of ever-growing interest.
no code implementations • 23 Nov 2021 • Uladzislau Yorsh, Alexander Kovalenko, Vojtěch Vančura, Daniel Vašata, Pavel Kordík, Tomáš Mikolov
In this paper, we propose that the dot product pairwise matching attention layer, which is widely used in Transformer-based models, is redundant for the model performance.
1 code implementation • 23 Jun 2021 • Daniel Vašata, Tomáš Halama, Magda Friedjungová
Image inpainting is one of the important tasks in computer vision which focuses on the reconstruction of missing regions in an image.
1 code implementation • 9 Feb 2021 • Tomáš Chobola, Daniel Vašata, Pavel Kordík
MetaDL Challenge 2020 focused on image classification tasks in few-shot settings.
no code implementations • 21 Jun 2020 • Magda Friedjungová, Daniel Vašata, Maksym Balatsko, Marcel Jiřina
Missing data is one of the most common preprocessing problems.
no code implementations • 20 Mar 2020 • Magda Friedjungová, Daniel Vašata, Tomáš Chobola, Marcel Jiřina
One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation.
no code implementations • 9 Nov 2019 • Magda Friedjungová, Daniel Vašata, Marcel Jiřina
The imputation impact is researched on a combination of traditional methods such as k-NN, linear regression, and MICE compared to modern imputation methods such as multi-layer perceptron (MLP) and gradient boosted trees (XGBT).