A while? You were blazing fast, for a conference so vast and complex. Very nice summary! Just a note, since you asked for suggestions: I'd add something on unsupervised/self-supervised. This was also quite big at NeurIPS this year ("Putting an end to end-to-end[..]" was maybe 1/2
It took me a while to recap bc some papers are complex. Key points: - Destructing black box: convergence, generalization, neural tangent kernel - New approaches: Bayesian & uncertainty, graph, convex optimization - Neuroscience & bio-inspired algos - ...https://huyenchip.com/2019/12/18/key-trends-neurips-2019.html …
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2/2 the most crowded poster, even though in that case people were probably more amazed by the fact that it shows a biologically plausible learning method which actually works, rather than from the equally impressive learning-without-labels part).
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Amazing summary. This is very helpful for those who did not attend the conference : )
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I'm not sure if neuroscience has good insight into consciousness. Embodied cognition, or cognitive sciences would be better fit for understanding consciousness. Great post.
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Great summary -- thanks for writing this up! Too bad we didn't cross paths at the conference -- I was also attending the Retrospectives workshop (I went for Melanie Mitchell's talk but stayed for the rest!)
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Thanks Chip! Great wrap up!
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Cảm ơn chị ^^
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Thank chip!
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Thanks for sharing, very insightful
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Thank you for the efforts
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