Published in , 2022
Recommended citation: Chen, Yu-Jen, et al. "Representative image feature extraction via contrastive learning pretraining for chest x-ray report generation." arXiv preprint arXiv:2209.01604 (2022).
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Published in AAAI 2023 Workshop on Artificial Intelligence for Social Good, 2023
Recommended citation: Chiu, Ching-Hao, et al. "Fair Multi-Exit Framework for Facial Attribute Classification." arXiv preprint arXiv:2301.02989 (2023).
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Published in International Conference on Medical Image Computing and Computer Assisted Intervention 2023, 2023
Recommended citation: Chiu, Ching-Hao, et al. "Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2023.
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Published in DAC 2024 - Work-in-Progress (WIP) poster sessions, 2024
Recommended citation: Chung, Hao-Wei, et al. "Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space." arXiv preprint arXiv:2402.13061 (2024).
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Published in Medical Image Analysis, 2024
Recommended citation: Chiu, Ching-Hao, et al. "Achieve fairness without demographics for dermatological disease diagnosis." Medical Image Analysis 95 (2024): 103188.
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Published in International Conference on Medical Image Computing and Computer Assisted Intervention 2024, 2024
Recommended citation: Kong, Qingpeng, et al. "Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis." arXiv preprint arXiv:2405.08681 (2024).
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