Joan Puigcerver
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Scaling Vision Transformers to 22 Billion Parameters
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Justin Gilmer
Mathilde Caron
Rodolphe Jenatton
Lucas Beyer
Michael Tschannen
Anurag Arnab
Carlos Riquelme
Matthias Minderer
Gamaleldin Elsayed
Fisher Yu
Avital Oliver
Fantine Huot
Mark Collier
Vighnesh Birodkar
Yi Tay
Alexander Kolesnikov
Filip Pavetić
Thomas Kipf
Xiaohua Zhai
Neil Houlsby
Arxiv (2023)
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Piotr Padlewski
Daniel Salz
Sebastian Alexander Goodman
Basil Mustafa
Lucas Beyer
Alexander Kolesnikov
Keran Rong
Hassan Akbari
Linting Xue
James Bradbury
Chao Jia
Carlos Riquelme
Xiaohua Zhai
Neil Houlsby
International Conference on Learning Representations (ICLR) (2023)
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cedric Renggli
André Susano Pinto
Luka Rimanic
Carlos Riquelme
Ce Zhang
Conference on Computer Vision and Pattern Recognition (2022) (to appear)
Scalable Transfer Learning with Expert Models
Carlos Riquelme
Basil Mustafa
Cedric Renggli
André Susano Pinto
Sylvain Gelly
Neil Houlsby
ICLR 2021 (2021)
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Neil Houlsby
Neurips 2021. (2021)
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
Alexander Kolesnikov
Matthias Minderer
Dan Moldovan
Sylvain Gelly
Neil Houlsby
Xiaohua Zhai
Conference on Computer Vision and Pattern Recognition (2021)
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Jessica Yung
Lucas Beyer
Neil Houlsby
Sylvain Gelly
Xiaohua Zhai
ECCV (2020) (to appear)
