| Neural architecture search: A survey T Elsken, JH Metzen, F Hutter Journal of Machine Learning Research (JMLR) 20, 2019 | 3538 | 2019 |
| Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T Elsken, JH Metzen, F Hutter International Conference on Learning Representations (ICLR), 2019 | 690 | 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 | 430 | 2020 |
| Simple and efficient architecture search for Convolutional Neural Networks T Elsken, JH Metzen, F Hutter NeurIPS Meta-Learning Workshop, 2017 | 327 | 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 | 187 | 2020 |
| 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 | 136* | 2023 |
| 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 (NeurIPS) 2, 3, 2021 | 119* | 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 | 49 | 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 | 33* | 2021 |
| Transfer NAS with meta-learned bayesian surrogates G Shala, T Elsken, F Hutter, J Grabocka International Conference on Learning Representations (ICLR), 2023 | 17 | 2023 |
| Neural Architecture Search for Dense Prediction Tasks in Computer Vision R Mohan, T Elsken, A Zela, JH Metzen, B Staffler, T Brox, A Valada, ... International Journal of Computer Vision (IJCV), 1-24, 2023 | 16* | 2023 |
| 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 | 7 | 2021 |
| Method and apparatus for automatically producing an artificial neural network F Hutter, JH Metzen, T Elsken US Patent 11,727,277, 2023 | 4 | 2023 |
| 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 | 4 | 2021 |
| 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 | 2 | 2022 |
| 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 | 1 | 2020 |
| Method for training a hardware metric predictor T Elsken, BS Staffler, JH Metzen US Patent App. 18/420,971, 2024 | | 2024 |
| Automatically ascertaining an optimal architecture for a neural network BS Staffler, D Stoeckel, T Elsken US Patent App. 18/473,136, 2024 | | 2024 |
| In-Context Learning for Latency Estimation T Carstensen, T Elsken, M Rapp AutoML Conference 2024 (Workshop Track), 2024 | | 2024 |
| Method and device for continual machine learning of a sequence of different tasks T Elsken US Patent App. 18/152,931, 2023 | | 2023 |
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyBestätigte E-Mail-Adresse bei cs.uni-freiburg.de
