Emerging trends: Deep nets thrive on scale. (September 2022)
- Record Type:
- Journal Article
- Title:
- Emerging trends: Deep nets thrive on scale. (September 2022)
- Main Title:
- Emerging trends: Deep nets thrive on scale
- Authors:
- Church, Kenneth Ward
- Abstract:
- Abstract: Deep nets are becoming larger and larger in practice, with no respect for (non)-factors that ought to limit growth including the so-called curse of dimensionality (CoD). Donoho suggested that dimensionality can be a blessing as well as a curse. Current practice in industry is well ahead of theory, but there are some recent theoretical results from Weinan E's group suggesting that errors may be independent of dimensions $d$ . Current practice suggests an even stronger conjecture: deep nets are not merely immune to CoD, but actually, deep nets thrive on scale.
- Is Part Of:
- Natural language engineering. Volume 28:Number 5(2022)
- Journal:
- Natural language engineering
- Issue:
- Volume 28:Number 5(2022)
- Issue Display:
- Volume 28, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 5
- Issue Sort Value:
- 2022-0028-0005-0000
- Page Start:
- 673
- Page End:
- 682
- Publication Date:
- 2022-09
- Subjects:
- Deep nets -- Curse of dimensionality -- Blessing -- Model size -- Scale
Natural language processing (Computer science) -- Periodicals
Software engineering -- Periodicals
006.35 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=NLE ↗
- DOI:
- 10.1017/S1351324922000365 ↗
- Languages:
- English
- ISSNs:
- 1351-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23563.xml