Distill (journal)
| Discipline | Computer science |
|---|---|
| Language | English |
| Edited by | Shan Carter, Chris Olah, Arvind Satyanarayan |
| Publication details | |
| History | 2017–present |
| Frequency | Continuous |
| Yes | |
| License | CC-BY 4.0 |
| Standard abbreviations | |
| ISO 4 | Distill |
| Indexing | |
| ISSN | 2476-0757 |
| LCCN | 2017201669 |
| OCLC no. | 972506987 |
| Links | |
Distill, is a peer-reviewed scientific journal covering machine learning. Articles may contain interactive graphics and so-called explorable explanations. The journal was established in March 2017 by Google, OpenAI, DeepMind, and Y Combinator Research.[1][2] The editors-in-chief are Shan Carter (Google Brain), Chris Olah (OpenAI), and Arvind Satyanarayan (MIT Computer Science and Artificial Intelligence Laboratory). The journal is indexed in Ei Compendex.[3] Its launch was criticized as overly hyped by The Scholarly Kitchen, which also noted that most authors were Google employees.[4]
References
- ^ "Google Launches New Machine Learning Journal". HPCwire (Press release). 2017-03-22. Retrieved 2019-07-05.
- ^ Nielsen, Michael. "Distill: An Interactive, Visual Journal for Machine Learning Research". Y Combinator (Blog). Retrieved 2019-07-05.
- ^ "Distill". MIAR: Information Matrix for the Analysis of Journals. University of Barcelona. Retrieved 2019-07-06.
- ^ Andersen, Keith (11 June 2018). "Has Google Become a Journal Publisher?". The Scholarly Kitchen.
Further reading
- "Distill: A Journal with Interactive Images for Machine Learning Research". Enago Academy. 12 May 2018.