arXiv Machine Learning June 19, 2026 By Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman, Michael Coss, Shubham Jain

Efficient Neural Network Model Selection for Few-Class Application Datasets

Read the original on arXiv Machine Learning →

arXiv:2606. 19712v1 Announce Type: new Abstract: While much effort has focused on developing and benchmarking high-performance neural networks, less attention has been given to how dataset properties, known to practitioners, can guide efficient model selection.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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