The Wall Street Journal published a piece on self-supervised learning involving Kyunghyun Cho and Yann LeCun.

TRUE: the Wall Street Journal published an article on or shortly before 14 August 2020 whose subject is self-supervised learning and which features or quotes both Kyunghyun Cho and Yann LeCun. MOSTLY TRUE: such a WSJ article exists, but one of the two is only mentioned rather than quoted, or the main topic is closely related (for example, unsupervised learning or AI learning without labels). MOSTLY FALSE: a WSJ article exists, but it involves only one of the two, or self-supervised learning is only a minor aside. FALSE: there was no WSJ piece on this topic involving either of them in that period, for example because the piece appeared in a different outlet.

Set before the research began.

1. E1 Self-supervised learning: The plan to make deep learning data-efficient - TechTalks TechTalks · 23 March 2020

   “My suggestion is to use unsupervised learning, or I prefer to call it self-supervised learning because the algorithms we use are really akin to supervised learning, which is basically learning to fill in the blanks”

The only evidence, E1, is a TechTalks article from March 2020 that quotes LeCun on self-supervised learning. It is not a Wall Street Journal piece and does not mention Kyunghyun Cho. Nothing in the evidence shows whether the WSJ published an article on self-supervised learning around 14 August 2020 featuring both men, and nothing shows that it did not.