| Regularized evolution for image classifier architecture search E Real, A Aggarwal, Y Huang, QV Le Proceedings of the aaai conference on artificial intelligence 33 (01), 4780-4789, 2019 | 3367 | 2019 |
| Large-scale evolution of image classifiers E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ... International conference on machine learning, 2902-2911, 2017 | 2009 | 2017 |
| Nas-bench-101: Towards reproducible neural architecture search C Ying, A Klein, E Christiansen, E Real, K Murphy, F Hutter International conference on machine learning, 7105-7114, 2019 | 802 | 2019 |
| Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video E Real, J Shlens, S Mazzocchi, X Pan, V Vanhoucke proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 704 | 2017 |
| Automl-zero: Evolving machine learning algorithms from scratch E Real, C Liang, D So, Q Le International conference on machine learning, 8007-8019, 2020 | 325 | 2020 |
| Symbolic discovery of optimization algorithms X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ... Advances in neural information processing systems 36, 2024 | 324 | 2024 |
| Attention for fine-grained categorization P Sermanet, A Frome, E Real arXiv preprint arXiv:1412.7054, 2014 | 209 | 2014 |
| Aging evolution for image classifier architecture search E Real, A Aggarwal, Y Huang, QV Le AAAI conference on artificial intelligence 2, 2, 2019 | 127 | 2019 |
| Evolving reinforcement learning algorithms JD Co-Reyes, Y Miao, D Peng, E Real, S Levine, QV Le, H Lee, A Faust arXiv preprint arXiv:2101.03958, 2021 | 92 | 2021 |
| Neural circuit inference from function to structure E Real, H Asari, T Gollisch, M Meister Current Biology 27 (2), 189-198, 2017 | 75 | 2017 |
| PyGlove: Symbolic programming for automated machine learning D Peng, X Dong, E Real, M Tan, Y Lu, G Bender, H Liu, A Kraft, C Liang, ... Advances in Neural Information Processing Systems 33, 96-108, 2020 | 32 | 2020 |
| Large-scale evolution of image classifiers. 2017 E Real, S Moore, A Selle, S Saxena, YL Suematsu, Q Le, A Kurakin URL https://arxiv. org/abs/1703.01041, 2017 | 17 | 2017 |
| Evolved optimizer for vision X Chen, C Liang, D Huang, E Real, Y Liu, K Wang, CJ Hsieh, Y Lu, QV Le First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | 13 | 2022 |
| Optimizing neural network architectures JA Dean, S Moore, EA Real, TM Breuel US Patent App. 16/540,558, 2019 | 11 | 2019 |
| Regularized neural network architecture search Y Huang, A Aggarwal, QV Le, EA Real US Patent 11,144,831, 2021 | 8 | 2021 |
| Discovering adaptable symbolic algorithms from scratch S Kelly, DS Park, X Song, M McIntire, P Nashikkar, R Guha, W Banzhaf, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Multi-objective evolution for generalizable policy gradient algorithms JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022 | 4 | 2022 |
| Models of visual processing by the retina EA Real Harvard University, 2012 | 3 | 2012 |
| Unified functional hashing in automatic machine learning R Gillard, S Jonany, Y Miao, M Munn, C de Souza, J Dungay, C Liang, ... arXiv preprint arXiv:2302.05433, 2023 | 2 | 2023 |
| Evolving pareto-optimal actor-critic algorithms for generalizability and stability JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust arXiv preprint arXiv:2204.04292, 2022 | 2 | 2022 |
