Chris Daniel

33 posts

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Chris Daniel

Chris Daniel

@chrisdaniel42

Mostly Coffee, sometimes a Head of AI

Stuttgart, Germany เข้าร่วม Aralık 2016
151 กำลังติดตาม140 ผู้ติดตาม
Chris Daniel
Chris Daniel@chrisdaniel42·
@zicokolter Congrats Rico 🥳 And condolences to your calendar 😅
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Charlie Holtz
Charlie Holtz@charlieholtz·
David Attenborough is now narrating my life Here's a GPT-4-vision + @elevenlabs python script so you can star in your own Planet Earth:
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Zico Kolter
Zico Kolter@zicokolter·
I realize this is seemingly an unpopular opinion, but I can't get onboard with these Twitter criticisms of some of the recent #ICML2022 best paper awardees. I've been thinking about this all day. A thread... 🧵 1/N
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Chris Daniel
Chris Daniel@chrisdaniel42·
@zicokolter @FrankRHutter @Tsinghua_Uni @Bosch_AI Highlights include work on structuring latent spaces of generative models to allow for optimization of structural designs and meta-learning for adversarial attacks to help us robustify our deployed computer vision models. More to follow!
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Chris Daniel
Chris Daniel@chrisdaniel42·
@FrankRHutter Congrats to the Freiburg AutoML team! 6 accepted papers from one lab at NeurIPS is an amazing success ratio.
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Frank Hutter
Frank Hutter@FrankRHutter·
6 accepted papers at NeurIPS. Amazing! 4 at the main track and 2 more at the benchmarks and datasets track. Huge congratulations to my bright and hard-working students & collaborators, they couldn't deserve it more!! Previews to early versions in this thread, more to follow soon.
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Phillip Isola
Phillip Isola@phillip_isola·
GANs get a lot of press for making photorealistic images, but to me the more impressive and useful feat is that they discover this organized "latent space" that underlies the visual world. This video is a really nice intro to that concept and why it is so cool:
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Programming Wisdom
Programming Wisdom@CodeWisdom·
"Telling a programmer there's already a library to do X is like telling a songwriter there's already a song about love." - Pete Cordell
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Chris Daniel
Chris Daniel@chrisdaniel42·
We are looking for talented Research Engineers to join our team. If you are excited to work together with top Scientists and to develop machine learning solutions for real world products, apply now!
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Frank Hutter
Frank Hutter@FrankRHutter·
Excited to introduce the first large-scale efficient-to-evaluate NAS benchmark, NAS-Bench-301: arxiv.org/abs/2008.09777 Exactly for the DARTS space (10^18 architectures)! Enabled by a surrogate model with lower estimation error than the noise in a single SGD run in NAS-Bench-101.
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Sinead Williamson
Sinead Williamson@sineadwilliamso·
Oh, great. Neurips desk reject. If the results are “known results” (I’m pretty confident they aren’t), perhaps the area chair could have made the effort to leave a note telling what they are? 1/n
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