What is recorded here?
Maintained fast weights updated by an inner optimizer and periodically interpolated/reset them toward slower weights, studying variance and empirical training stability.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits inner SGD/Adam and iterate averaging; not universally accelerated optimization or negligible total memory. Additional slow weights and synchronization are real costs. Distinct from unrelated LookaheadDecoding inference methods.
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People and systems
Michael R. Zhang; James Lucas; Geoffrey Hinton; Jimmy Ba
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.
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English catalogue narrative
Lookahead: slow-weight interpolation around inner optimizers
Maintained fast weights updated by an inner optimizer and periodically interpolated/reset them toward slower weights, studying variance and empirical training stability.
Scientific scope
Inherits inner SGD/Adam and iterate averaging; not universally accelerated optimization or negligible total memory. Additional slow weights and synchronization are real costs. Distinct from unrelated LookaheadDecoding inference methods.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Michael R. Zhang; James Lucas; Geoffrey Hinton; Jimmy Ba
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.