Statistical Validity of Neural-Net Benchmarks
Claims of better, faster or more efficient neural-net designs often hinge on low single digit percentage improvements (or less) in accuracy or speed compared to others. Current benchmark differences used for comparison have been based on a number of different metrics such as recall, the best of five...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10816528/ |
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