AWhat changed
Randomly bypassed residual layers with identity connections during training while using the full-depth network at test time, reducing expected training depth and studying regularization.
Scientific scope
Randomly bypassed residual layers with identity connections during training while using the full-depth network at test time, reducing expected training depth and studying regularization. Inherits residual/highway connections, dropout and ensemble ideas. Shorter expected paths do not guarantee faster every implementation or equal arbitrary-depth optimization. Reported1200-layer CIFAR results are bounded experiments.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits residual/highway connections, dropout and ensemble ideas. Shorter expected paths do not guarantee faster every implementation or equal arbitrary-depth optimization. Reported1200-layer CIFAR results are bounded experiments.
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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