← Search

Maximilian Ilse

3 accepted papers

2023

Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing

CVPR 2023poster

Self-supervised learning in vision--language processing (VLP) exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image and report pairs even though clinical notes commonly refer to prior images. This does not onl…

Cited by 139SourcePDFScholar
2021

Selecting Data Augmentation for Simulating Interventions

ICML 2021spotlight

Machine learning models trained with purely observational data and the principle of empirical risk minimization (Vapnik 1992) can fail to generalize to unseen domains. In this paper, we focus on the case where the problem arises through spurious correlation between the observed domains and the actua…