Wikipedia:Articles for deletion/International Conference on Learning Representations

The following discussion is an archived debate of the proposed deletion of the article below. Please do not modify it. Subsequent comments should be made on the appropriate discussion page (such as the article's talk page or in a deletion review). No further edits should be made to this page.

The result was delete. SoWhy 07:28, 10 July 2017 (UTC)[reply]

International Conference on Learning Representations (edit | talk | history | protect | delete | links | watch | logs | views) – (View log · Stats)

(Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL)

no evidence of any particular importance for this series of cofnerences DGG ( talk ) 05:32, 15 June 2017 (UTC)[reply]

Note: This debate has been included in the list of Events-related deletion discussions. Coolabahapple (talk) 07:22, 16 June 2017 (UTC)[reply]

Note: This debate has been included in the list of Computing-related deletion discussions. Coolabahapple (talk) 07:22, 16 June 2017 (UTC)[reply]

Note: This debate has been included in the list of Education-related deletion discussions. Shawn in Montreal (talk) 19:24, 16 June 2017 (UTC)[reply]

• Keep Important relatively new growing machine learning conference. Little is covered in the tech press yet (Wired barely covers NIPS). Less-than "reliable" sources, research blogs and websites: Google Research Blog says "top tier international machine learning venues like ICML, NIPS, and ICLR." Tombone's Computer Vision Blog says "quickly becoming a strong contender for the single most important venue in the Deep Learning space." Liu Yang's website "Rank 1 (CCF-A): SIGIR, WWW, ACL, AAAI, IJCAI, KDD, ICML, NIPS, ICLR (new DL conference)." Is ICLR as good as NIPS/ICML? — Preceding unsigned comment added by StrayBolt (talk • contribs) 01:50, 19 June 2017 (UTC)[reply]

A few more less-than "reliable" sources: BEEVA Labs "one of the top european conferences on Machine Learning and Deep Learning" SAP Blog "described as 'the deep learning conference'...best academic papers...high quality tech gather-up...share your thoughts...with brilliant minds, while debating current cutting-edge technology topics" KDnuggets News Opinions "major deep learning conferences (e.g., NIPS, ICLR, ICML)" Intel IT Peer Network "outlined advances that will revolutionize the next generation of intelligent machines." inFERENCe blog "The Bayesian community should really start going to ICLR. They really should have started going years ago. Some people actually have." StrayBolt (talk) 20:18, 21 June 2017 (UTC)[reply]

• Delete -- the topic of machine learning is notable, but this event does not inherit notability from it. I don't see sufficient sources to establish notability here. Coverage offered above are trivial mentions. K.e.coffman (talk) 01:27, 25 June 2017 (UTC)[reply]
• Comment -- Here are a few articles on papers submitted to the conference: BBC News Technology Facebook trains AI to beat humans at Go board game "Facebook's Go AI system is codenamed Darkforest, according to a paper submitted in November by Mr Tian to the International Conference on Learning Representations." The Register Emergent Tech Artificial Intelligence What's the first emotion you'd give an AI that might kill you? Yes, fear "A paper written by the aforementioned researchers is under review for the International Conference on Learning Representations (ICLR 2017)," Futurism News Artificial Intelligence Our Computers Are Learning How to Code Themselves "Their study is currently being reviewed for the 5th International Conference on Learning Representations (ICLR 2017)" The following is the highest cited paper from ICLR on Google Scholar: Neural Machine Translation by Jointly Learning to Align and Translate (ICLR 2015) has been cited by 1530 StrayBolt (talk) 03:53, 25 June 2017 (UTC)[reply]

Perhaps /Technology and /Software should be included in the discussion? /Education, while can apply, has a similar sounding topic called "deeper learning" that differs from computing's "deep learning". StrayBolt (talk) 05:49, 28 June 2017 (UTC)[reply]

• Delete per nom. To be included, there has to be a demonstration of individual notability, which isn't proven here. Dennis Brown - 2¢ 00:10, 10 July 2017 (UTC)[reply]

The above discussion is preserved as an archive of the debate. Please do not modify it. Subsequent comments should be made on the appropriate discussion page (such as the article's talk page or in a deletion review). No further edits should be made to this page.