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Wonder why distracting information influence your decisions? Check out our paper
@PNASNews.https://twitter.com/summerfieldlab/status/1036936050088849408 …
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Our Senior Data Scientist, Dr Setrak Balian will be giving a
#techtalk on how to develop#machinelearning#algorithms to identify violent propaganda content on the web. Sign up here: http://bit.ly/2Gx3wh8#techtalk#datascience#AIpic.twitter.com/9bXKPu1oak
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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
#AI and its relationship with cogsci and neurosci.https://twitter.com/summerfieldlab/status/1222450995579555841 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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New preprint, with
@JCalderTravis. 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!https://www.biorxiv.org/content/10.1101/2020.01.03.893057v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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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
@sciencemagazine. Congrats Albert, Tim@mattlark@YiotaPoirazi & COhttps://science.sciencemag.org/content/367/6473/83 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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A visual explanation of R² - which measures the decrease in error that your model provides over a baseline of guessing the mean.pic.twitter.com/2uHY0k5cpd
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You can find a livestream of the meta-learning workshop here https://slideslive.com/38921882/metalearning-1 …
#NeurIPS2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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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.
#NeurIPS2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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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
#NumPy Each *from scratch* toy code example is in the Github below.#100daysofMLcode https://github.com/iamtrask/Grokking-Deep-Learning …pic.twitter.com/upyCPWD7zt
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Slides from the
#NeurIPS2019 tutorial on Interpretable Comparison of Distributions and Models now online! Part 1: http://www.gatsby.ucl.ac.uk/~gretton/papers/neurips19_1.pdf … Part 2: http://www.gatsby.ucl.ac.uk/~gretton/papers/neurips19_2.pdf … Part 3: http://www.gatsby.ucl.ac.uk/~gretton/papers/neurips19_3.pdf … With@d00gs and@wittawatjPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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I'm thrilled to be starting my research group in
@OxExpPsy at@UniofOxford. Interested in deep learning theory and neuroscience? I'm looking for team members! http://www.saxelab.orgHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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I saw
@SaxeLab 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.https://twitter.com/OpenAI/status/1202642083565060096 …
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Our fellow Vicki Li worked with
@mentionmeshare to improve the efficacy of#referralmarketing with#machinelearning. With her model, Mention Me is now able to better predict customer behaviour via targeted referral marketing. Watch her presentation here:http://bit.ly/2XUPHkfHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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"Ten common statistical mistakes" https://doi.org/10.7554/eLife.48175 … 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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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: https://arxiv.org/abs/1912.00953 Here are samples showing higher diversity:pic.twitter.com/GkdRofrYRt
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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
#oldiebutgoldiehttps://www.blackhc.net/blog/2019/better-intuition-for-information-theory/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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We're excited to be hosting our 15th Demo Day! Our fellows will showcase how they've applied cutting-edge
#datascience practices for companies such as@HSBC@LondonFire@JustEatUK@tailsdogfood@loveholidays and more. Join us today: http://bit.ly/31Ejn5I#FacultyDemoDayXVHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Now out in
@NeuroCellPress: 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@KordingLab and Dan Goldreich.https://www.sciencedirect.com/science/article/pii/S0896627319308402 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Where Does Value Come From? by Keno Juechems & Christopher Summerfield
@summerfieldlabhttps://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(19)30200-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Are emotions continuous or discrete? Maybe...both...but reported experience is better captured by categories than dimensions such as valence and arousal https://www.pnas.org/content/early/2017/08/30/1702247114 …pic.twitter.com/7R46oco04x
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“..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 choicehttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007201 …
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