8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.LG2023
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Helen Jenne +53
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…
eess.IV2019★ 8 cited
GANs 'N Lungs: improving pneumonia prediction
Tatiana Malygina, Elena Ericheva, Ivan Drokin
We propose a novel method to improve deep learning model performance on highly-imbalanced tasks. The proposed method is based on CycleGAN to achieve balanced dataset. We show that…