Nezihe Merve Gürel (nmervegurel.bsky.social)
@nmervegurel
Faculty @TUDelft, Prev. @ETH_en @Stanford @EPFL_en
Research in ML robustness, reliability and reasoning
Exec. @DMLRJournal, Some chair @iclr_conf & @NeurIPSConf
ID: 772528222017875969
https://nezihemervegurel.github.io/ 04-09-2016 20:14:15
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Check out MODEL SELECTOR, a framework for label-efficient selection of pretrained classifiers. We reduce the labeling cost by up to 94.15% to identify the best model. Joint work with Andreas Kirsch 🇺🇦 Torsten Hoefler 🇨🇭 Andreas Krause Nezihe Merve Gürel (nmervegurel.bsky.social) accepted at #AISTATS2025 !
I want to share a blog post about our paper "All Models are Wrong, Some are Useful: Model Selection with Limited Labels", which we will present at AISTATS Conference 2025 next week With Patrik Okanovic, Jannes Kasper, Torsten Hoefler 🇨🇭, Andreas Krause, Nezihe Merve Gürel (nmervegurel.bsky.social)
Caglar Gulcehre and I are excited to share our lecture slides for EE-628 Training Large Language Models course: epfl.ch/labs/lions/tea… If you have any feedback, please reach out to us. I am also at #ICLR25.
Happening now at AISTATS Conference, our paper at the poster session now with Patrik Okanovic presenting: "All models are wrong, some are useful: Model Selection with Limited Labels"
Patrik Okanovic and Andreas Kirsch 🇺🇦 have presented the paper "All models are wrong, some are useful: Model Selection with Limited Labels" at AISTATS Conference! 👉arxiv.org/pdf/2410.13609 👉github.com/RobustML-Lab/m… Work of Patrik Okanovic, Andreas Kirsch 🇺🇦, Jannes Kasper, Torsten Hoefler 🇨🇭, Andreas Krause, Nezihe Merve Gürel (nmervegurel.bsky.social)