Data Augmentation Should Follow the Classification Task: A Categorical View on Quotient Mismatch in Neural Classification

Kunihiro Aoki

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT45] Artificial Intelligence in Earth and Environmental sciences

Sun. May 24, 2026 3:30 PM - 5:00 PM Exhibition Hall Special Setting (8) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Kondrashov A Dmitri(University of California Los Angeles), Richter Ingo(JAMSTEC Japan Agency for Marine-Earth Science and Technology), Krinitskiy Mikhail(Shirshov Institute of Oceanology, Russian Academy of Sciences)

4:30 PM - 4:45 PM

[MTT45-11] Data Augmentation Should Follow the Classification Task:
A Categorical View on Quotient Mismatch in Neural Classification

*Kunihiro Aoki¹ (1. Meteorological Research Institute, Japan Meteorological Agency)

Keywords:Deep learning, Data augmentation, Classification, Data-driven science

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Presentation information

[M-TT45] Artificial Intelligence in Earth and Environmental sciences

[MTT45-11] Data Augmentation Should Follow the Classification Task: A Categorical View on Quotient Mismatch in Neural Classification

[MTT45-11] Data Augmentation Should Follow the Classification Task:
A Categorical View on Quotient Mismatch in Neural Classification