Basil Mustafa
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
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
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
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
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
Towards generalist biomedical ai
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
Sigmoid loss for language image pre-training
X Zhai, B Mustafa, A Kolesnikov, L Beyer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
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
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
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
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
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 7 (6), 756-779, 2023
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
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
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
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
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
From sparse to soft mixtures of experts
J Puigcerver, C Riquelme, B Mustafa, N Houlsby
arXiv preprint arXiv:2308.00951, 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
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