Standout Papers

Deep learning with convolutional neural networks... 2008 2026 2014 2020 1.7k
  1. Deep learning with convolutional neural networks for EEG decoding and visualization (2017)
    Robin Tibor Schirrmeister, Jost Tobias Springenberg et al. Human Brain Mapping
  2. Automated Machine Learning (2019)
    Frank Hutter, Lars Kotthoff et al. Data Archiving and Networked Services (DANS)
  3. Efficient and robust automated machine learning (2015)
    Matthias Feurer, Aaron Klein et al. Neural Information Processing Systems
  4. ParamILS: An Automatic Algorithm Configuration Framework (2009)
    Frank Hutter, Holger H. Hoos et al. Journal of Artificial Intelligence Research
  5. SATzilla: Portfolio-based Algorithm Selection for SAT (2008)
    Lizhong Xu, Frank Hutter et al. Journal of Artificial Intelligence Research
  6. Accurate predictions on small data with a tabular foundation model (2025)
    Noah Hollmann, Samuel Müller et al. Nature

Immediate Impact

5 by Nobel laureates 33 from Science/Nature 75 standout
Sub-graph 1 of 20

Citing Papers

Machine Learning in Polymer Research
2025 Standout
A broadband hyperspectral image sensor with high spatio-temporal resolution
2024 StandoutNature
4 intermediate papers

Works of Frank Hutter being referenced

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks
2018
Bayesian optimization with robust Bayesian neural networks
2016
and 3 more

Author Peers

Author Last Decade Papers Cites
Frank Hutter 2939 891 606 1773 80 6.5k
Dongrui Wu 3302 631 284 2100 183 7.6k
Wojciech Samek 4432 277 233 1304 123 9.5k
Lili Yuan 3031 613 242 1090 113 12.3k
Paul J. Werbos 3921 1270 345 661 46 7.5k
Jan Peters 4199 772 354 1066 292 8.8k
Amit Konar 1958 873 232 624 141 3.6k
Nianyin Zeng 2675 395 436 667 132 8.2k
Nikola Kasabov 3302 341 275 1915 348 7.4k
Fuhui Long 2307 484 204 683 28 8.0k
Satinder Singh 4845 989 944 510 115 7.4k

All Works

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Rankless by CCL
2026