| Understanding and Robustifying Differentiable Architecture Search A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter International Conference on Learning Representations (ICLR) (Oral), 2020 | 266 | 2020 |
| Towards automated deep learning: Efficient joint neural architecture and hyperparameter search A Zela, A Klein, S Falkner, F Hutter International Conference on Machine Learning (ICML) 2018, AutoML Workshop, 2018 | 165 | 2018 |
| NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search A Zela*, J Siems*, F Hutter International Conference on Learning Representations (ICLR), 2020 | 136 | 2020 |
| Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks A Zela*, JN Siems*, L Zimmer*, J Lukasik, M Keuper, F Hutter International Conference on Learning Representations (ICLR), 2021 | 127* | 2021 |
| Autodispnet: Improving disparity estimation with automl T Saikia, Y Marrakchi, A Zela, F Hutter, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 61 | 2019 |
| Neural ensemble search for uncertainty estimation and dataset shift S Zaidi*, A Zela*, T Elsken, CC Holmes, F Hutter, Y Teh Advances in Neural Information Processing Systems 35, 2021 | 59* | 2021 |
| How Powerful are Performance Predictors in Neural Architecture Search? C White, A Zela, B Ru, Y Liu, F Hutter Advances in Neural Information Processing Systems 35, 2021 | 52 | 2021 |
| Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Z Liu, A Pavao, Z Xu, S Escalera, F Ferreira, I Guyon, S Hong, F Hutter, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3108-3125, 2021 | 20 | 2021 |
| Smooth variational graph embeddings for efficient neural architecture search J Lukasik, D Friede, A Zela, H Stuckenschmidt, F Hutter, M Keuper International Joint Conference on Neural Networks (IJCNN), 2021, 2020 | 11 | 2020 |
| NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Y Mehta*, C White*, A Zela, A Krishnakumar, G Zabergja, S Moradian, ... International Conference on Learning Representations (ICLR), 2022 | 9 | 2022 |
| NASLib: A Modular and Flexible Neural Architecture Search Library M Ruchte*, A Zela*, J Siems, J Grabocka, F Hutter | 8 | |
| Multi-headed Neural Ensemble Search AR Narayanan, A Zela, T Saikia, T Brox, F Hutter Workshop on Uncertainty and Robustness in Deep Learning @ICML 2021, 2021 | 3 | 2021 |
| Bag of Tricks for Neural Architecture Search T Elsken, B Staffler, A Zela, JH Metzen, F Hutter CVPR Workshop on Neural Architecture Search: 1st Lightweight NAS Challenge …, 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 |
| NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies A Krishnakumar, C White, A Zela, R Tu, M Safari, F Hutter arXiv preprint arXiv:2210.03230, 2022 | 1 | 2022 |
| JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search A Bansal, D Stoll, M Janowski, A Zela, F Hutter Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 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 |
| Method, device and computer program for creating a neural network A Zela, F Hutter, T Brox, T Saikia, Y Marrakchi US Patent App. 17/421,886, 2022 | | 2022 |
| Method and device for creating a system for the automated creation of machine learning systems M Lindauer, A Zela, DO Stoll, F Ferreira, F Hutter, T Nierhoff US Patent App. 17/366,639, 2022 | | 2022 |
| GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Sparsity A Chatzimichailidis, A Zela, J Keuper, Y Yang | | 2022 |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
