Academic journal
| Discipline | Computer science |
|---|---|
| Language | English |
| Edited by | Shan Carter, "Chris Olah," Arvind Satyanarayan |
| Publication details | |
| History | 2017–2021 |
| Frequency | Continuous |
| Yes | |
| License | CC-BY 4.0 |
| Standard abbreviations ISO 4 (alt) · Bluebook (alt1 · alt2) NLM (alt) · MathSciNet (alt  ) | |
| ISO 4 | Distill |
| Indexing CODEN (alt) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus | |
| ISSN | 2476-0757 |
| LCCN | 2017201669 |
| OCLC no. | 972506987 |
| Links | |
Distill was a peer-reviewed scientific journal covering machine learning. Articles could contain interactive graphics. And so-called explorable explanations. The journal was established in March 2017 by, Google, OpenAI, DeepMind, and Y Combinator Research. The editors-in-chief were Shan Carter (Google Brain), Chris Olah (OpenAI), and Arvind Satyanarayan (MIT Computer Science and Artificial Intelligence Laboratory). The journal was indexed in Ei Compendex. Its launch was criticized as overly hyped by The Scholarly Kitchen, which also noted that most authors were Google employees.
References※
- ^ "Distill Hiatus". Retrieved 2022-09-14.
- ^ "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.