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Prikvačeni tweet
Exciting updated results for self-supervised representation learning on ImageNet: - 71.5% top-1 with a *linear* classifier - 77.9% top-5 with only *1%* of the labels - 76.6 mAP when transferred to PASCAL VOC-07 (better than *fully-supervised's* 74.7 mAP) https://arxiv.org/abs/1905.09272 pic.twitter.com/uq514NiI9B
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Ali Eslami proslijedio/la je Tweet
Pleased to present our work
#ConvCNP, endowing DeepSets networks and Conditional Neural Processes with translation equivariance. Oral at#iclr2020! Joint work with@ikwess,@AndrewFoongYK, James Requeima,@yanndubs, Rich Turner. paper and code: https://openreview.net/forum?id=Skey4eBYPS …pic.twitter.com/sAz1FRj6ZlHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Ali Eslami proslijedio/la je Tweet
Very excited to share https://www.nature.com/articles/s41586-019-1799-6 … where we show an AI system that outperforms specialists at detecting breast cancer during screening in both the UK and US. Joint work with
@GoogleHealth and@CR_UK published in@Nature today!pic.twitter.com/SL6NV6KyuY
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Ali Eslami proslijedio/la je Tweet
Got any burning questions for Josh Tenenbaum,
@FidlerSanja,@ZePoLiTaT,@DeepSpiker or Niloy Mitra?
We are opening up the floor for discussion early by inviting *YOU* to pose questions.
Simply reply to this tweet with your suggestions and we will feature the most liked ones!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ali Eslami proslijedio/la je Tweet
1/ Excited to share our NeurIPS paper, Geometry-Aware Neural Rendering! https://arxiv.org/abs/1911.04554 . With
@pabbeel,@woj_zaremba, and the rest of the@openai robotics teampic.twitter.com/uEeWV4VLnG
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Ali Eslami proslijedio/la je Tweet
Is it too late to move NeurIPS 2020? There is no way Canada should be hosting 3 years in a row when their visa practices continue to be this racisthttps://twitter.com/timnitGebru/status/1192314394761289728 …
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Ali Eslami proslijedio/la je Tweet
This is some advice I had shared with my lab on how to shorten your paper to fit the page limit. With the
#CVPR20 deadline coming up, I thought I'd share it widely.https://medium.com/@deviparikh/shortening-papers-to-fit-page-limits-97601318681d …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ali Eslami proslijedio/la je Tweet
I think deep learning is attracting lots of funding because it makes it seem like you can magically turn data into algorithms without the slow work of understanding the data first. This is mostly unrealistic. Eventually people will learn this, probably by losing lots of money.
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Ali Eslami proslijedio/la je Tweet
Wanna play around with SPIRAL but the installation seems complicated? I've just built a Docker image to make the experience as hassle-free as possible. To get the agent up and running on your machine follow the instructions here: https://github.com/ddtm/spiral-docker … Have fun!https://twitter.com/yaroslav_ganin/status/1180120687131926528 …
0:07The 19-stroke SPIRAL agent for the oil paint simulator is now available on#TFHub! Enjoy
For usage instructions see http://github.com/deepmind/spiral
The pre-trained snapshot is here: http://tfhub.dev/deepmind/spiral/default-fluid-gansn-celebahq64-gen-19steps/1 … https://twitter.com/yaroslav_ganin/status/1178672948779110400 … pic.twitter.com/RQ66FyeGpnPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
@yaroslav_ganin recently open-sourced the RL environments we used for this work, check it out:http://github.com/deepmind/spiralPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
And when it comes to straight-up creativity, I'd be very curious to hear what artists and art researchers of the likes of
@JoanneHastieArt,@dribnet,@patricktresset,@_ScottEaton_,@AaronHertzmann,@elluba make of this! Collaborations, anyone? ;)pic.twitter.com/49GbUmN1fl
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The combination of: 1. learned generative agents, 2. physically plausible environments, and 3. learned adversarial reward functions, could be useful for program synthesis, inverse graphics, chemical synthesis, music generation and so much more.
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This means that, in certain scenarios and under certain circumstances, the representations that these agents produce can be considered to be 'semantic'.pic.twitter.com/78Qr1wlWHr
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The point is that these agents' representations can actually be instantiated in physical reality. This is not necessarily the case with purely neural autoencoder representations. Read more about the video below here: https://deepmind.com/blog/article/learning-to-generate-images …pic.twitter.com/gPdp7QrrqC
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When given more time with the canvas, agents produce images that look more natural. Of course, they're still constrained to draw with a brush, so their samples are not photo-real. But that's not the point.pic.twitter.com/O8wO8Y1sLQ
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When sufficiently constrained, agents learn to paint surprisingly abstract images. Some of the paintings remind me of cubist portraits. (Remember: no imitation or supervision). Can you spot any familiar faces? See https://learning-to-paint.github.io for loads more emergent drawing styles.pic.twitter.com/dDW5RnyAjh
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Super fun collaboration with
@JohnFJMellor,@silverbottlep,@yaroslav_ganin,@ibabusch,@tejasdkulkarni,@danrsm, Andy Ballard,@theophaneweber and@OriolVinyalsML.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Now for something different! Deep RL + GAN training + CelebA = artificial caricature. Agents learn to draw simplified (artistic?) portraits via trial and error. @
#NeurIPS2019 creativity workshop. Animated paper: https://learning-to-paint.github.io PDF: https://arxiv.org/abs/1910.01007 Thread.pic.twitter.com/eeChwyP57fPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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