| Big self-supervised models advance medical image classification S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 385 | 2021 |
| LiT: Zero-Shot Transfer with Locked-image Text Tuning X Zhai, X Wang, B Mustafa, A Steiner, D Keysers, A Kolesnikov, L Beyer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 276 | 2021 |
| Scaling vision with sparse mixture of experts C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ... Advances in Neural Information Processing Systems 34, 8583-8595, 2021 | 253 | 2021 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 238 | 2022 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 127 | 2023 |
| Does your dermatology classifier know what it doesn’t know? detecting the long-tail of unseen conditions AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ... Medical Image Analysis 75, 102274, 2022 | 87 | 2022 |
| Learning to segment medical images with scribble-supervision alone YB Can, K Chaitanya, B Mustafa, LM Koch, E Konukoglu, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 84 | 2018 |
| Supervised transfer learning at scale for medical imaging B Mustafa, A Loh, J Freyberg, P MacWilliams, M Wilson, SM McKinney, ... arXiv preprint arXiv:2101.05913, 2021 | 55 | 2021 |
| Multimodal contrastive learning with limoe: the language-image mixture of experts B Mustafa, C Riquelme, J Puigcerver, R Jenatton, N Houlsby Advances in Neural Information Processing Systems 35, 9564-9576, 2022 | 53 | 2022 |
| Scalable transfer learning with expert models J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ... 9th International Conference on Learning Representations, ICLR, 2021 | 50 | 2021 |
| Correlated input-dependent label noise in large-scale image classification M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 44 | 2021 |
| Robust and efficient medical imaging with self-supervision S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... arXiv preprint arXiv:2205.09723, 2022 | 36 | 2022 |
| Towards generalist biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... arXiv preprint arXiv:2307.14334, 2023 | 30 | 2023 |
| Learning to merge tokens in vision transformers C Renggli, AS Pinto, N Houlsby, B Mustafa, J Puigcerver, C Riquelme arXiv preprint arXiv:2202.12015, 2022 | 28 | 2022 |
| PaLI-X: On Scaling up a Multilingual Vision and Language Model X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ... arXiv preprint arXiv:2305.18565, 2023 | 21 | 2023 |
| A simple probabilistic method for deep classification under input-dependent label noise M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent arXiv preprint arXiv:2003.06778, 2020 | 21 | 2020 |
| Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering, 1-24, 2023 | 17 | 2023 |
| Sparse MoEs meet efficient ensembles JU Allingham, F Wenzel, ZE Mariet, B Mustafa, J Puigcerver, N Houlsby, ... arXiv preprint arXiv:2110.03360, 2021 | 13 | 2021 |
| Sigmoid loss for language image pre-training X Zhai, B Mustafa, A Kolesnikov, L Beyer arXiv preprint arXiv:2303.15343, 2023 | 12 | 2023 |
| Deep ensembles for low-data transfer learning B Mustafa, C Riquelme, J Puigcerver, AS Pinto, D Keysers, N Houlsby arXiv preprint arXiv:2010.06866, 2020 | 11 | 2020 |
