| Keras F Chollet keras.io 10, 2015 | 20492* | 2015 |
| Xception: Deep learning with depthwise separable convolutions F Chollet Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 17328 | 2017 |
| Deep Learning with Python F Chollet Manning Publications, 2017 | 6811* | 2017 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 720 | 2022 |
| Tensor2tensor for neural machine translation A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ... arXiv preprint arXiv:1803.07416, 2018 | 609 | 2018 |
| Keras tuner T O’Malley, E Bursztein, J Long, F Chollet, H Jin, L Invernizzi | 564 | 2019 |
| On the Measure of Intelligence F Chollet arXiv preprint arXiv:1911.01547, 2019 | 479 | 2019 |
| Depthwise separable convolutions for neural machine translation L Kaiser, AN Gomez, F Chollet arXiv preprint arXiv:1706.03059, 2017 | 350 | 2017 |
| DeepMath-deep sequence models for premise selection AA Alemi, F Chollet, N Eén, G Irving, C Szegedy, J Urban arXiv preprint arXiv:1606.04442, 2016 | 260* | 2016 |
| keras: R Interface to’Keras’ JJ Allaire, F Chollet R package version 2 (5.0), 2019 | 230 | 2019 |
| Building powerful image classification models using very little data F Chollet Keras Blog 5, 90-95, 2016 | 175 | 2016 |
| Proceedings of the IEEE conference on computer vision and pattern recognition F Chollet Xception: Deep learning with depthwise separable convolutions, 1251-1258, 2017 | 148 | 2017 |
| Keras: Deep learning for humans F Chollet GitHub. Inc, 2015 | 145 | 2015 |
| Building autoencoders in keras F Chollet The Keras Blog 14, 2016 | 130 | 2016 |
| Keras Tuner. 2019 T O’Malley, E Bursztein, J Long, F Chollet, H Jin, L Invernizzi, ... Available online: github. com/keras-team/kerastuner (accessed on 2 April 2022), 2023 | 105 | 2023 |
| R interface to keras F Chollet, J Allaire, D Falbel, Y Tang, W Van Der Bijl, M Studer Keras Team, 2017 | 104 | 2017 |
| Holstep: A machine learning dataset for higher-order logic theorem proving C Kaliszyk, F Chollet, C Szegedy arXiv preprint arXiv:1703.00426, 2017 | 95 | 2017 |
| GitHub repository. 2015 FK Chollet, G Keras Keras.[Google Scholar], 2022 | 65 | 2022 |
| Introduction to the JAGI special issue ‘On defining artificial intelligence’–commentaries and author’s response D Monett, CW Lewis, KR Thórisson, J Bach, G Baldassarre, G Granato, ... Journal of Artificial General Intelligence 11 (2), 1-100, 2020 | 62 | 2020 |
| Deep learning mit python und keras: das praxis-handbuch vom entwickler der keras-bibliothek, MITP-Verlags GmbH & Co F Chollet KG: Frechen, Germany, 2018 | 62 | 2018 |
Łukasz KaiserOpenAI & CNRSVerified email at openai.com
