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27 Sep, 4 tweets, 2 min read
Catch up on recent AI research and code highlights - join @ZetaVector this Friday 1 Oct at 15:00 CET for the monthly "Navigating Current Trends and Topics in AI" webinar.

zoom.us/webinar/regist…
Expect to learn how Pupil Shapes Reveal GAN-generated Faces, Makeup against Face Recognition, Multimodal Prompt Engineering, CNNs vs Transformers vs MLPs, Primer Evolved Transformer, FLAN, and whether MS MARCO has reached end of life neural retrieval, and much more...
Check out some of the trending topics in AI / ML twitter right now:

search.zeta-alpha.com/?q=&d=lm&sort_…
We discuss our recent top picks that we think you should know with @SergiCastellaSa, Marzieh Fadaee en @jakubzavrel ... and an associated blog post is in the making...

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More from @ZetaVector

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12 Dec 20
In typical space-cowboy style, @ylecun, donning no slides, but only a whiteboard on Zoom, explains how all the various self-supervised models can be unified under an Energy Based view. #NeurIPS #SSL workshop
In fact, @ylecun sketches that the probabilistic view of loss functions for self-supervised training is harmful us as it concentrates all probability mass on the data manifold, obscuring our navigation in the remaining space. #NeurIPS #SSL workshop
En passant, @ylecun points out the trick why BYOL by Grill et al. from @DeepMind does not collapse despite the lack of negative examples: a magic batch normalization.
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