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Andrew Saxe
Sir Henry Dale Fellow at University of Oxford, trying to figure out how we learn.
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bioRxiv Neuroscience 20. sij
Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective
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Michael C. Frank 27. sij
Exciting example of the emergentist perspective in the domain of number. Most interesting part: an account of developmental refinement of number sense acuity from experience - this is empirically true but very undertheorized in nativist accounts.
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Michael Eisen 虫めづるマイケル 22. sij
I have a favor to ask. For 20+ years I've been working on a dream: to make all science funded by US taxpayers freely available to all. We are on the verge of achieving this. But we need to show that people care. So please, if you can, sign this letter:
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Grigori Guitchounts 18. sij
My paper is out on ! We explored movement signals in visual cortex and found a lot of surprising things.
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summerfieldlab 17. sij
let's encourage give this petition the consideration it deserves. please retweet.
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Surya Ganguli 10. sij
A great set of videos on the mathematics of
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Tim Vogels 10. sij
We have a new paper on , up now. I wanted to call it “Crushing the Hopfield limit”, but, sadly, I was overruled. Not much time today (flying to the , yay!), but in brief, WE CRUSH IT (the hopfield limit) (and in a cool cool way) (i’m excited) Ready?
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Steph Nelli 8. sij
Don’t forget to come to these science talks! Additionally, on Friday Jan 17 at 10 am will give his great career development talk in NRH - relevant for all stages of researchers!
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Andrew Saxe 7. sij
Odgovor korisniku/ci @whybansal @laika117 i 6 ostali
There's also a great related article in the same issue by and co:
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Andrew Saxe 7. sij
Our paper "On the information bottleneck theory of deep learning" has been republished (with small edits) in J Stat Mech ML special issue: A wonderful collaboration with @laika117 Artemy Kolchinsky
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Andrew Saxe 26. pro
Odgovor korisniku/ci @fchollet
As far as genealogy goes you may want to have a look at the affiliations on the backprop nature paper. Or the wonderful PDP books, which read remarkably modern today. I think the genealogy is shared, and that should be celebrated. Interdisciplinary science is great!
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Timothy O'Leary 20. pro
We're hiring: focused 2 year position in collaboration with Chris Harvey (Harvard Med School) and Yaniv Ziv (Weizmann) on reconfiguring neural codes. Please RT/apply here:
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Andrew Saxe 19. pro
When do networks abstract away from different modalities and when don't they? Great insights...
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Andrew Saxe 16. pro
Odgovor korisniku/ci @crocodoyle @tyrell_turing i 2 ostali
But it is the case empirically that large vanilla DNNs trained without regularization from standard initializations can typically wind up at a global minimum (when trained with a bounded loss function).
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Joshua Calder-Travis 12. pro
This is such a cool paper. So much explained with so little.
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Kyle Cranmer 12. pro
Excellent talk by on using statistical physics to understand dynamics of learning. Impressive results! Poster:
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Helen C Barron 11. pro
Vote tactically to stop Boris: check what that means for your postcode here
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Andrew Saxe 11. pro
Odgovor korisniku/ci @gsarti_ @OxExpPsy @UniofOxford
You bet! Check out
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celestekidd 10. pro
I'm happy to share my comments on the climate for men from my talk:
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Andrew Saxe 10. pro
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