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Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3037662040

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

About this item

Full title

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Despite the critical importance of the medical domain in Deep Learning, most of the research in this area solely focuses on training models in static environments. It is only in recent years that research has begun to address dynamic environments and tackle the Catastrophic Forgetting problem through Continual Learning (CL) techniques. Previous stu...

Alternative Titles

Full title

Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3037662040

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3037662040

Other Identifiers

E-ISSN

2331-8422

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