John S. H. Baxter. Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms. In John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang 0002, Mustafa Hajij, editors, Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Volume 13755 of Lecture Notes in Computer Science, pages 26-37, Springer, 2022. [doi]
@inproceedings{Baxter22,
title = {Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms},
author = {John S. H. Baxter},
year = {2022},
doi = {10.1007/978-3-031-23223-7_3},
url = {https://doi.org/10.1007/978-3-031-23223-7_3},
researchr = {https://researchr.org/publication/Baxter22},
cites = {0},
citedby = {0},
pages = {26-37},
booktitle = {Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings},
editor = {John S. H. Baxter and Islem Rekik and Roy Eagleson and Luping Zhou and Tanveer F. Syeda-Mahmood and Hongzhi Wang 0002 and Mustafa Hajij},
volume = {13755},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-23223-7},
}