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Lane McIntosh proslijedio/la je Tweet
New paper out on
#NeurIPS2019: “From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction” with fantastic collaborators@aran_nayebi,@niru_m,@lmcintosh, Stephen Baccus,@SuryaGanguli. https://papers.nips.cc/paper/9060-from-deep-learning-to-mechanistic-understanding-in-neuroscience-the-structure-of-retinal-prediction …pic.twitter.com/FvLyTmbZtY
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Lane McIntosh proslijedio/la je Tweet
Officially got tenure in Applied Physics
@Stanford! This feat is really due to a brilliant, creative, and fun group of students and postdocs I have had the great fortune of working with over the years. And thanks to amazing colleagues and mentors at Stanford and beyond!pic.twitter.com/LYKnEeawNG
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Lane McIntosh proslijedio/la je Tweet
We see more significant improvements from training data distribution search (data splits + oversampling factor ratios) than neural architecture search. The latter is so overrated :)
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Lane McIntosh proslijedio/la je Tweet






please:
We are excited to announce that Model 3 just earned a 5-star safety rating from @EuroNCAP



https://ts.la/2LxSs73 Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
The Pokémon paper is out! In this study, we scanned the brains of adults, who as children, became Pokémon experts. We find a region of their brain becomes uniquely responsive to
@Pokemon , helping us get at why the brain is organized the way it is. https://rdcu.be/bAxPYPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
Awesome video by
@Stanford covering the study https://www.youtube.com/watch?time_continue=2&v=kEIuQRHElcQ …@StanfordBrainPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
The old car companies think what separates them from Tesla is that Teslas are electric. But they're also separated by the fact that Teslas are software, and that, they will discover, is an unbridgeable gulf.
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Lane McIntosh proslijedio/la je Tweet
New blog post: "A Recipe for Training Neural Networks" https://karpathy.github.io/2019/04/25/recipe/ … a collection of attempted advice for training neural nets with a focus on how to structure that process over time
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Lane McIntosh proslijedio/la je Tweet
So proud of the Tesla Autopilot team and very excited to see the the veil lifted on some of their work earlier today
A number of people got to experience this:https://twitter.com/elonmusk/status/1120502923136520192 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
Please read
@elasri_layla's post about the undesirable behaviors she has experienced in the field of ML & CS (the anecdote about her CS professor showing another female student how to use a mouse was pretty egregious). Let's all strive to create a welcoming environment for all.https://twitter.com/elasri_layla/status/1079115806905167872 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
"Tesla's Navigate on Autopilot Hands-On: Road trip to CES 2019!" https://www.youtube.com/watch?v=ni8QkK7_TqU … with NoA enabled and a nav path set, Autopilot automagically suggests & negotiates the right lane changes, takes the right forks, and overtakes slow vehicles while respecting passing lanes
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Lane McIntosh proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Lane McIntosh proslijedio/la je Tweet
My new post for the
@Stanford Human Centered AI Initiative: a personal vision of how#neuroscience#psychology#ai#physics#mathematics and other fields can work together to both understand biological intelligence and create artificial intelligence! https://hai.stanford.edu/news/the_intertwined_quest_for_understanding_biological_intelligence_and_creating_artificial_intelligence/ …pic.twitter.com/Uc6T9uu5xx
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Wish more ML papers gave statistics on the success of their methods! "We observe that without Orthogonal Regularization, only 16% of models are amenable to truncation, compared to 60% when trained with Orthogonal Regularization." https://arxiv.org/abs/1809.11096
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Lane McIntosh proslijedio/la je Tweet
Preprint of my new paper! We use
@Pokemon to answer a fundamental question about the human brain: Why is visual cortex organized so consistently across people? Give it a read, and see how becoming a childhood expert with Pokemon leads to a new brain representation.https://twitter.com/biorxiv_neursci/status/1040280516858195968 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
I’m excited to announce that I’ll be joining the
@Stanford Statistics and@StanfordBrain faculty in summer 2019!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
Congrats Scott! Super excited to have you in the bay!!
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Lane McIntosh proslijedio/la je Tweet
Guided evolutionary strategies: escaping the curse of dimensionality in random search. A principled method to leverage training signals which are not the gradient, but which may be correlated with the gradient. Work with
@niru_m@Luke_Metz@georgejtucker.http://goo.gl/uUGQzKPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If you're at
@CVPR come check out our talk in 30 min on RNNs for efficient video scene understanding from just labeled images! Ballroom F w/@niru_m@SussilloDavidHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Lane McIntosh proslijedio/la je Tweet
Woohoo yay
@niru_m@lmcintosh ! So cool. +1 point for team ‘deep learning helps us understand the brain’
https://twitter.com/suryaganguli/status/1005939813512462336 …
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