Podcasts Technology Linear Digressions Not every deep learning paper is great. Is that a problem?

Not every deep learning paper is great. Is that a problem?

Published: Feb. 11, 2019, 12:06 a.m.

b'Deep learning is a field that\\u2019s growing quickly. That\\u2019s good! There are lots of new deep learning papers put out every day. That\\u2019s good too\\u2026 right? What if not every paper out there is particularly good? What even makes a paper good in the first place? It\\u2019s an interesting thing to think about, and debate, since there\\u2019s no clean-cut answer and there are worthwhile arguments both ways. Wherever you find yourself coming down in the debate, though, you\\u2019ll appreciate the good papers that much more.\\n\\nRelevant links:\\nhttps://blog.piekniewski.info/2018/07/14/autopsy-dl-paper/\\nhttps://www.reddit.com/r/MachineLearning/comments/90n40l/dautopsy_of_a_deep_learning_paper_quite_brutal/\\nhttps://www.reddit.com/r/MachineLearning/comments/agiatj/d_google_ai_refuses_to_share_dataset_fields_for_a/'