What is recorded here?
Presented knowledge distillation using softened output distributions to transfer behavior from an ensemble or cumbersome model into a smaller model, including specialist-model experiments.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the 2015 arXiv and workshop paper. It builds on earlier ensemble-compression work; the reported experiments do not establish universally lossless transfer, general performance improvement or safety, and the workshop chronology is not a peer-reviewed proceedings claim.
Read the original work
- arXiv record for knowledge distillation
- Google Research publication record for knowledge distillation
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People and systems
Geoffrey Hinton; Oriol Vinyals; Jeff Dean
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United States, Canada
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English catalogue narrative
Hinton, Vinyals and Dean: distilling knowledge in a neural network
Presented knowledge distillation using softened output distributions to transfer behavior from an ensemble or cumbersome model into a smaller model, including specialist-model experiments.
Scientific scope
The record is the 2015 arXiv and workshop paper. It builds on earlier ensemble-compression work; the reported experiments do not establish universally lossless transfer, general performance improvement or safety, and the workshop chronology is not a peer-reviewed proceedings claim.
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
Geoffrey Hinton; Oriol Vinyals; Jeff Dean
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.