AWhat changed
Searches reusable normal/reduction convolutional cells on a small image dataset and scales the discovered motifs to larger image-recognition tasks.
Scientific scope
Searches reusable normal/reduction convolutional cells on a small image dataset and scales the discovered motifs to larger image-recognition tasks. Cell-transfer performance is empirical; the operation set, stacking/scaling rules and final training remain human specified. It does not eliminate engineering or guarantee transfer to arbitrary tasks.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Cell-transfer performance is empirical; the operation set, stacking/scaling rules and final training remain human specified. It does not eliminate engineering or guarantee transfer to arbitrary tasks.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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