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  1. Prikvačeni tweet
    4. ruj 2018.

    Wonder why distracting information influence your decisions? Check out our paper .

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  2. proslijedio/la je Tweet
    4. velj

    Our Senior Data Scientist, Dr Setrak Balian will be giving a on how to develop to identify violent propaganda content on the web. Sign up here:

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  3. 29. sij

    Probably the best courses I have taken in my life. It’s wonderful that Chris is releasing the material. it is a broadly-covered but digestible resource if you are into and its relationship with cogsci and neurosci.

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  4. proslijedio/la je Tweet
    5. sij

    New preprint, with . The lab's most thorough study so far of distractor effects in visual search. We use briefly presented Gabors for maximal control, in the style of John Palmer and others. Comments welcome!

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  5. proslijedio/la je Tweet
    2. sij

    Brains are amazing. Our lab demonstrates that single human layer 2/3 neurons can compute the XOR operation. Never seen before in any neuron in any other species. Out now in . Congrats Albert, Tim  & CO

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  6. proslijedio/la je Tweet
    14. pro 2019.

    A visual explanation of R² - which measures the decrease in error that your model provides over a baseline of guessing the mean.

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  7. proslijedio/la je Tweet
    13. pro 2019.

    You can find a livestream of the meta-learning workshop here

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  8. proslijedio/la je Tweet

    ML folks: what are the best ideas from neuroscience that you found actually useful? because "neurons exist" is so 1890s. And "attention helps" is so 1890s as well.

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  9. proslijedio/la je Tweet
    3. pro 2019.

    This year I wrote a book teaching Deep Learning - it's goal is to be the easiest intro possible In the book, each lesson builds a neural component *from scratch* in Each *from scratch* toy code example is in the Github below.

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  10. proslijedio/la je Tweet
    9. pro 2019.
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  11. proslijedio/la je Tweet
    9. pro 2019.

    I'm thrilled to be starting my research group in at . Interested in deep learning theory and neuroscience? I'm looking for team members!

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  12. proslijedio/la je Tweet
    5. pro 2019.

    I saw present similar results earlier this year. This really is a fascinating phenomenon, totally different from most ppl's intuitions about the impact of overparameterization on generalization.

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  13. proslijedio/la je Tweet
    6. pro 2019.

    Our fellow Vicki Li worked with to improve the efficacy of with . With her model, Mention Me is now able to better predict customer behaviour via targeted referral marketing. Watch her presentation here:

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  14. proslijedio/la je Tweet
    3. pro 2019.

    "Ten common statistical mistakes" TL;DR (1) No control grp (2) Informal grp comparison (3) Ignoring dependence (4) Outliers in corr. (5) Small n (6) Circular inf. (7) p-hacking (8) Ignoring multiple testing (9) Interpreting p>0.05 (10) Causation vs. corr.

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  15. proslijedio/la je Tweet
    3. pro 2019.

    We introduce LOGAN, a game-theory motivated algorithm, which improves the state-of-the-art in GAN image generation by over 30% measured in FID: Here are samples showing higher diversity:

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  16. proslijedio/la je Tweet
    26. stu 2019.

    🎉 New blog post on a better (visual!) intuition for information theoretic quantities (eg entropy and mutual information) 🎉 🔥 Lots of visualisations 🔥 👉 Based on Yeung's "A new outlook on Shannon's information measures" from 1991 📖

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  17. proslijedio/la je Tweet
    7. stu 2019.

    We're excited to be hosting our 15th Demo Day! Our fellows will showcase how they've applied cutting-edge practices for companies such as and more. Join us today:

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  18. proslijedio/la je Tweet
    9. lis 2019.

    Now out in : a tutorial in Bayesian decision models of behavior, with worked problems. Kudos to Neuron for being ok with this unconventional format. The tutorial is a preview of the textbook I am writing with and Dan Goldreich.

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  19. proslijedio/la je Tweet

    Where Does Value Come From? by Keno Juechems & Christopher Summerfield

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  20. proslijedio/la je Tweet

    Are emotions continuous or discrete? Maybe...both...but reported experience is better captured by categories than dimensions such as valence and arousal

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  21. proslijedio/la je Tweet
    1. ruj 2019.

    “..model comparisons showed that within-alternative process models decisively outperformed within-attribute ones, in accounting for choices and response-times.” The formation of preference in risky choice

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