What is recorded here?
Introduced Adam, an adaptive first-order stochastic optimization method using estimates of first and second moments, and evaluated it on the paper’s stated learning tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record follows the ICLR 2015 conference work. The December 2014 arXiv posting, later convergence counterexamples and repairs, AdamW and claims of universal superiority remain separate.
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People and systems
Diederik P. Kingma; Jimmy Ba
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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Documented countries / regions: Netherlands, Canada
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English catalogue narrative
Kingma and Ba: Adam stochastic optimization
Introduced Adam, an adaptive first-order stochastic optimization method using estimates of first and second moments, and evaluated it on the paper’s stated learning tasks.
Scientific scope
The record follows the ICLR 2015 conference work. The December 2014 arXiv posting, later convergence counterexamples and repairs, AdamW and claims of universal superiority remain separate.
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
Diederik P. Kingma; Jimmy Ba
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.