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Frank Hutter

TAU, LISN

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning

Jul 16, 2022
Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter

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* Accepted at the ICML 2022 Pre-training Workshop

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Meta-Learning a Real-Time Tabular AutoML Method For Small Data

Jul 05, 2022
Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter

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Zero-Shot AutoML with Pretrained Models

Jun 25, 2022
Ekrem Öztürk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter

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* International Conference on Machine Learning 2022

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Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification

Jun 15, 2022
Adrian El Baz, André Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan van Rijn, Xin Wang, Isabelle Guyon

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* NeurIPS 2021 Competition and Demonstration Track, Dec 2021, On-line, United States

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Joint Entropy Search For Maximally-Informed Bayesian Optimization

Jun 09, 2022
Carl Hvarfner, Frank Hutter, Luigi Nardi

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* 10 pages, 8 figures

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DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning

Jun 07, 2022
René Sass, Eddie Bergman, André Biedenkapp, Frank Hutter, Marius Lindauer

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Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

May 27, 2022
Jörg K. H. Franke, Frederic Runge, Frank Hutter

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* Preprint, currently under review

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