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Prikvačeni tweet
Looking forward for workshops tomorrow - my favorite part of
#NeurIPS.@its_dibya and I will speak about the MEMENTO observation in Atari agents tomorrow at 4:15 in the BARL workshop. Come see us at the poster!@jdmartin86,@marcgbellemare, yoshuawonttweet,@hugo_larochellepic.twitter.com/zQr639S2Ou
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William Fedus proslijedio/la je Tweet
The #1 cause of startup death is making something no one wants. The #2 cause is spending too much. Those two account for so many deaths that I'm not even sure what #3 is. If you merely make something people want and don't spend too much, you're way ahead.
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William Fedus proslijedio/la je Tweet
An Opinionated Guide to ML Research: “To make breakthroughs with idea-driven research, you need to develop an exceptionally deep understanding of your subject, and a perspective that diverges from the rest of the community—some can do it, but it’s hard.” http://joschu.net/blog/opinionated-guide-ml-research.html …pic.twitter.com/fyO6cyr9im
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Pigeons as food-seeking contextual bandits capable of diagnosing breast cancer from images. I imagine much initial confusion stumbling upon this title: "Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images"https://twitter.com/maxhkw/status/1221927386943410177 …
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Whoops, my tired eyes mistook the double dagger as another asterix. Khandelwal was sole first author
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William Fedus proslijedio/la je Tweet
FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). https://arxiv.org/abs/2001.07685 Collaboration with Kihyuk Sohn,
@chunliang_tw@ZizhaoZhang Nicholas Carlini@ekindogus@Han_Zhang_@colinraffelpic.twitter.com/BmeYvpEHzX
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Enjoyed the kNN-LM paper by Khandelwal and Levy et al. (2019). Using an interpolated non-parametric and parametric model, they set a SOTA on Wikitext, reducing perplexity by 2.9 points. This approach helps with predicting long-tail language predictions. https://arxiv.org/pdf/1911.00172.pdf …pic.twitter.com/XUN4XarOlj
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William Fedus proslijedio/la je Tweet
I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competitionpic.twitter.com/x16jgKmLFr
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William Fedus proslijedio/la je Tweet
Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere. We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop. But why? So we can—talk. Thus chimpanzees can do this—we can’t:pic.twitter.com/CDznxg37p1
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William Fedus proslijedio/la je Tweet
***What were the most interesting, scientifically insightful, and coherent papers that you read in 2019??*** Rules: 1) No restriction on methodology or aim (theoretical, experimental, & applications papers welcome). 2) Do not post your own papers.
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William Fedus proslijedio/la je Tweet
We're pleased to let you know that your submission, On Bonus Based Exploration Methods In The Arcade Learning Environment, has been accepted at
#ICLR2020! https://openreview.net/forum?id=BJewlyStDr … This huge endeavor was led by@aalitaiga. W/@LiamFedus,@marcgbellemare &@AaronCourville. More
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Our
#aaai2020 paper led by@j_vishal3991 is available! We consider RL improvements in text-adventure/interactive fiction games. Text-based games are an interesting RL env testing language understanding, reasoning and behavior in huge state-action spaces https://arxiv.org/abs/1911.12511 pic.twitter.com/5AzTWX051S
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William Fedus proslijedio/la je Tweet
Come see our
#bsuite poster at the#NeurIPS2019 Deep RL Workshop... Bring your questions! West Exhibition Hall C https://github.com/deepmind/bsuite pic.twitter.com/266z8X1ygH
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William Fedus proslijedio/la je Tweet
My band is presenting a poster at NeurIPS today :) also we will be playing a set at the banquet at 7:30. Come check it and other great artistic applications of machine learning out at the ml creativity workshop :)pic.twitter.com/qhEaUSC1At
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Great talk by
@ofirnachum on hierarchical RL at#NeurIPS2019 DRL workshop! They find much of the benefit of hierarchical methods is attributable to exploration advantages, not due to a semantically meaningful action space or better optimization.pic.twitter.com/NVp41kkyMK
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William Fedus proslijedio/la je Tweet
Tomorrow I'll be talking about JAX MD: a hardware accelerated, end-to-end differentiable, molecular dynamics library at the ML4PS at 9:20am (along with tons of amazing speakers). Paper: https://arxiv.org/abs/1912.04232 Code: https://github.com/google/jax-md Colab: https://colab.sandbox.google.com/github/google/jax-md/blob/master/notebooks/jax_md_cookbook.ipynb …https://twitter.com/DynamicWebPaige/status/1200607460131688448 …
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William Fedus proslijedio/la je Tweet
Excited to speak about MEMENTO with
@LiamFedus at the BARL workshop (see details below). MEMENTO is a simple yet surprising observation that training a new agent with "no memory of the past" can help DRL algorithms break through learning plateaus on Atari. Check it out!https://twitter.com/LiamFedus/status/1205308807607308289 …
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William Fedus proslijedio/la je Tweet
GCSL is a simple algorithm which reduces goal conditioned RL to a supervised learning problem, avoiding the complexity of value functions or policy gradients. Work with
@abhishekunique7, Justin Fu, Ashwin Reddy, Coline Devin, Ben Eysenbach,@svlevinehttps://twitter.com/svlevine/status/1205312628815478784 …
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William Fedus proslijedio/la je Tweet
How to build 1000+ layer Transformers with 80+ billion parameters? By using GPipe
We will be presenting GPipe today @NeurIPS - East Exhibition Hall B+C at poster #40 Paper > https://arxiv.org/abs/1811.06965 Poster and Slides > https://nips.cc/Conferences/2019/ScheduleMultitrack?event=13257 … (1/4)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
William Fedus proslijedio/la je Tweet
As promised, we have made the Text-To-Text Transfer Transformer (T5) models much easier to fine-tune for new tasks, and we just released a Colab notebook where you can try it yourself on a free TPU!
http://tiny.cc/t5-colab
(1/3)pic.twitter.com/LU5scmhbIsPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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