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Frank Schneider

@fsschneider.bsky.social
228 followers 284 following 4 posts

Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning

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Reposted by Frank Schneider
AlgoPerf @algoperf.bsky.social · 08/09/2025
We just released AlgoPerf v0.6! 🎉 ✅ Rolling leaderboard ✅ Lower compute costs ✅ JAX jit migration ✅ Bug fixes & flexible API Coming soon: More contemporary baselines + an LM workload… github.com/mlcommons/al...
github.com
GitHub - mlcommons/algorithmic-efficiency: MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training a...
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models. - mlcommons/algori...
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Frank Schneider @fsschneider.bsky.social · 20/05/2025
The CodeML workshop @ICML2025 deadline has been extended to May 26! We highlight open-source gems—new ML libraries, key contributions, best practices & OSS reflections. Let’s give open-source the stage it deserves. 🔗 codeml-workshop.github.io/codeml2025/
codeml-workshop.github.io
CODEML Workshop @ ICML 2025
Championing Open-source Development in Machine Learning
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Reposted by Frank Schneider
Jonathan Wenger @jwenger.bsky.social · 16/04/2025
This has been a topic close to my heart for a long time. We have an awesome lineup of speakers who have made deep contributions to open-source in ML, e.g. @sarahooker.bsky.social , @chrisrackauckas.bsky.social, Matt Johnson, Tri Dao, @stellaathena.bsky.social, Evan Shelhamer.
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Frank Schneider @fsschneider.bsky.social · 16/04/2025
Tired of your open-source ML work not getting the academic recognition it deserves? 🤔 Submit to the first-ever CodeML workshop at #ICML2025! It focuses on new libraries, improvements to established ones, best practices, retrospectives, and more. codeml-workshop.github.io/codeml2025/
codeml-workshop.github.io
CODEML Workshop
Championing Open-source Development in Machine Learning.
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Reposted by Frank Schneider
AlgoPerf @algoperf.bsky.social · 03/04/2025
We're all about acceleration! 😉 Watch @priya-kasimbeg.bsky.social & @fsschneider.bsky.social speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!
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Frank Schneider @fsschneider.bsky.social · 14/03/2025
If you don't know yet what AlgoPerf is, I wrote a short intro thread over on our shiny new AlgoPerf account 🤓
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Reposted by Frank Schneider
Michael J. Black @michael-j-black.bsky.social · 20/11/2024
For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...
perceiving-systems.blog
Writing a good scientific paper
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