Invariant Risk Minimization in Medical Imaging with Modular Data Representation-Reference-Cited by-同舟云学术

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Invariant Risk Minimization in Medical Imaging with Modular Data Representation

Published:2024-01-28 Issue: Volume:31 Page:1-5
ISSN:
Container-title:2024 International Conference on Electronics, Information, and Communication (ICEIC)
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Author:

Bae Jun-Hyun¹,Kim Chanwoo²,Chang Taeyoung³

Affiliation:

1. Kyungpook National University,Department of Artificial Intelligence,Daegu,Republic of Korea

2. Graduate School of Data Science, Seoul National University,Seoul,Republic of Korea

3. Seoul National University,Department of Statistics,Seoul,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10457047/10457087/10457174.pdf?arnumber=10457174

Reference18 articles.

1. Recognition in Terra Incognita

2. Adversarial examples are not bugs, they are features;Ilyas;Advances in Neural Information Processing Systems,2019

3. Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness;Geirhos;arXiv preprint,2018

4. Causal confusion in imitation learning;de Haan;Advances in Neural Information Processing Systems,2019

5. Wilds: A bench-mark of in-the-wild distribution shifts;Koh

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