TL;DR: A SoftKNN-based training task makes your ICL model for predictive tabular tasks more intelligible while empirically not decreasing performance.
TL;DR: A SoftKNN-based training task makes your ICL model for predictive tabular tasks more intelligible while empirically not decreasing performance.
We also welcome non-traditional content, such as blog posts, podcasts, videos, or anything else that sparks discussion.
We also welcome non-traditional content, such as blog posts, podcasts, videos, or anything else that sparks discussion.
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Jonas Kübler/Kailash Budhathoki (AWS) will talk about automated inference optimization for large models
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Anne-Laure Boulesteix (LMU) will deliver a keynote lecture on neutral benchmarking
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Jonas Kübler/Kailash Budhathoki (AWS) will talk about automated inference optimization for large models
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Anne-Laure Boulesteix (LMU) will deliver a keynote lecture on neutral benchmarking
📅 June 10th-13th, Tübingen, Germany
🔗 www.automlschool.org
📅 June 10th-13th, Tübingen, Germany
🔗 www.automlschool.org