| Neural architecture search: A survey T Elsken, JH Metzen, F Hutter Journal of Machine Learning Research (JMLR) 20, 2019 | 2101 | 2019 |
| Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T Elsken, JH Metzen, F Hutter International Conference on Learning Representations (ICLR), 2019 | 481 | 2019 |
| Understanding and Robustifying Differentiable Architecture Search A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter International Conference on Learning Representations (ICLR), 2020 | 266 | 2020 |
| Simple and efficient architecture search for Convolutional Neural Networks T Elsken, JH Metzen, F Hutter NeurIPS Meta-Learning Workshop, 2017 | 239 | 2017 |
| Meta-Learning of Neural Architectures for Few-Shot Learning T Elsken, B Staffler, JH Metzen, F Hutter IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 97 | 2020 |
| Neural Ensemble Search for Uncertainty Estimation and Dataset Shift S Zaidi, A Zela, T Elsken, C Holmes, F Hutter, YW Teh Advances in Neural Information Processing Systems, 2021 2, 3, 2021 | 59* | 2021 |
| Automated design of error-resilient and hardware-efficient deep neural networks C Schorn, T Elsken, S Vogel, A Runge, A Guntoro, G Ascheid Neural Computing and Applications, 2020 | 30 | 2020 |
| Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization J Guerrero-Viu, S Hauns, S Izquierdo, G Miotto, S Schrodi, A Biedenkapp, ... International Conference on Machine Learning (ICML) AutoML Workshop, 2021 | 14* | 2021 |
| Bag of Tricks for Neural Architecture Search T Elsken, B Staffler, A Zela, JH Metzen, F Hutter IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Neural …, 2021 | 3 | 2021 |
| Neural architecture search for dense prediction tasks in computer vision T Elsken, A Zela, JH Metzen, B Staffler, T Brox, A Valada, F Hutter arXiv preprint arXiv:2202.07242, 2022 | 2 | 2022 |
| Method and apparatus for automatically producing an artificial neural network F Hutter, JH Metzen, T Elsken US Patent App. 16/756,983, 2021 | 2 | 2021 |
| Transfer NAS with Meta-learned Bayesian Surrogates G Shala, T Elsken, F Hutter, J Grabocka Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022 | 1* | 2022 |
| Neural Architecture Search: Insights from 1000 Papers C White, M Safari, R Sukthanker, B Ru, T Elsken, A Zela, D Dey, F Hutter arXiv preprint arXiv:2301.08727, 2023 | | 2023 |
| Rapid, energy-saving, iterative operation of artificial neural networks T Pfeil, T Elsken US Patent App. 17/658,314, 2022 | | 2022 |
| Device and computer-implemented method for the processing of digital sensor data and training method therefor DO Stoll, F Hutter, JH Metzen, T Elsken US Patent App. 17/625,041, 2022 | | 2022 |
| Method and device for ascertaining a network configuration of a neural network T Elsken, F Hutter, JH Metzen US Patent App. 16/978,108, 2021 | | 2021 |
| Method and device for ascertaining a network configuration of a neural network T Elsken, F Hutter, JH Metzen US Patent App. 16/978,075, 2020 | | 2020 |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
