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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

* 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

* 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

* 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

* 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

* Preprint, currently under review 

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Automated Dynamic Algorithm Configuration


May 27, 2022
Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor Awad, Theresa Eimer, Marius Lindauer, Frank Hutter


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Efficient Automated Deep Learning for Time Series Forecasting


May 13, 2022
Difan Deng, Florian Karl, Frank Hutter, Bernd Bischl, Marius Lindauer


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