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FixMatch ImageNet! A single model training yields 71.5% top-1 accuracy.https://twitter.com/alexey2004/status/1224919142727180295 …
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Zizhao Zhang proslijedio/la je Tweet
Fixmatch: code for training on Imagenet dataset is released and available here: https://github.com/google-research/fixmatch/tree/master/imagenet … https://arxiv.org/abs/2001.07685 by Kihyuk Sohn
@D_Berthelot_ML@chunliang_tw@ZizhaoZhang Nicholas Carlini@ekindogus@alexey2004@Han_Zhang_@colinraffelHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zizhao Zhang proslijedio/la je Tweet
A well done video explanation of FixMatch, thanks
@CShorten30 !https://twitter.com/CShorten30/status/1220478729593466885 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our new method on semi-supervised learning.https://twitter.com/D_Berthelot_ML/status/1219823580654948353 …
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Interesting viewpointhttps://twitter.com/EricTopol/status/1216187183402373122 …
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Zizhao Zhang proslijedio/la je Tweet
Progress isn’t always easy to see. These charts show some of the ways that the world is getting better.https://b-gat.es/2SPNuWR
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Zizhao Zhang proslijedio/la je Tweet
Nice slides and pointers! Sim is not real, but a "widened enough" sim (using enough augmentation) contains real as an element, somewhat.https://twitter.com/josh_tobin_/status/1196988995822964736 …
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Zizhao Zhang proslijedio/la je Tweet
Self-supervised learning opens up a huge opportunity for better utilizing unlabelled data while learning in a supervised learning manner. My latest post covers many interesting ideas of self-supervised learning tasks on images, videos & control problems:https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zizhao Zhang proslijedio/la je Tweet
Thanks Augustus! Enjoy working with you on GANs again :)https://twitter.com/gstsdn/status/1189002808000839680 …
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Zizhao Zhang proslijedio/la je Tweet
@Han_Zhang_ has new research (w/@ZizhaoZhang,@honglaklee and me) that sets a new state-of-the art in conditional image synthesis by using consistency regularization on GANs: https://arxiv.org/abs/1910.12027 . Thread follows:pic.twitter.com/FLjLk4R4TL
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Zizhao Zhang proslijedio/la je Tweet
We're sharing a new approach for teaching AI how to interact with objects by showing it videos of everyday behavior. This research uses weak supervision and teaches systems to understand interaction hotspots. https://ai.facebook.com/blog/research-in-brief-grounded-human-object-interaction-hotspots/ …pic.twitter.com/whqDYYn9Qu
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Zizhao Zhang proslijedio/la je Tweet
It's hard to scale meta-learning to long inner optimizations. We introduce iMAML, which meta-learns *without* differentiating through the inner optimization path using implicit differentiation. https://arxiv.org/abs/1909.04630 to appear
@NeurIPSConf w/@aravindr93@ShamKakade6@svlevinepic.twitter.com/fBznTaubgr
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Zizhao Zhang proslijedio/la je Tweet
The first-ever fastMRI challenge is here! Based on a research project by Facebook AI and NYU Langone Health, this challenge aims to produce diagnostic-quality images in less time. Winning teams will be invited to present at a NeurIPS 2019 workshop. https://ai.facebook.com/blog/fastmri-challenge/ …pic.twitter.com/tVhEhsXLqd
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Zizhao Zhang proslijedio/la je Tweet
Advances in
#machinelearning show great promise for assisting in the work of healthcare professionals. Check out SMILY, an ML-based similar image search tool for anatomic pathology, along with research into real-world usability. http://goo.gle/2XYZGU3 https://youtu.be/kw_X7x3G6FYHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zizhao Zhang proslijedio/la je Tweet
Our new paper: Large Memory Layers with Product Keys https://arxiv.org/abs/1907.05242 We created a key-value memory layer that can increase model capacity for a negligible computational cost. A 12-layer transformer with a memory outperforms a 24-layer transformer, and is 2x faster! 1/2pic.twitter.com/H2I9lpRXgY
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Zizhao Zhang proslijedio/la je Tweet
I would like to announce that
@albuslaev@creaf@cvtalks@viglovikov are releasing image augmentation library#albumentations v0.3.0. To simplify the reproducible#MachineLearning we added load / save to python dictionary, json, and yaml config files. https://github.com/albu/albumentations/releases/tag/0.3.0 …pic.twitter.com/ZAlXIq4FiR
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Zizhao Zhang proslijedio/la je Tweet
Together w/ colleagues at
@facebookai &@UF we propose dynamically optimized acquisition for faster, more accessible#MRI.#AI in#biomedicalimaginghttps://twitter.com/facebookai/status/1141057306534170624 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zizhao Zhang proslijedio/la je Tweet
Faster MRI through active acquisition. FAIR+NYU Langone Medical Center.https://ai.facebook.com/blog/accelerating-mri-reconstruction/ …
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Our
#CVPR2019 paper for active acquisition in undersampled MRI reconstruction, a part of the#fasrmri project, is live.https://twitter.com/facebookai/status/1141057306534170624 … – mjesto: Long Beach Convention & Entertainment CenterHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Zizhao Zhang proslijedio/la je Tweet
@ZizhaoZhang@michal_drozdzal and Matt presenting our work on active acquisition for MRI reconstruction now at#CVPR2019. Stop by poster 207!pic.twitter.com/Xfc0LoNW74
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