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Jeremiah J. Harmsen

2 accepted papers

2023

Scaling Vision Transformers to 22 Billion Parameters

ICML 2023oral

The scaling of Transformers has driven breakthrough capabilities for language models. At present, the largest large language models (LLMs) contain upwards of 100B parameters. Vision Transformers (ViT) have introduced the same architecture to image and video modelling, but these have not yet been suc…

Cited by 650SourcePDFScholar
2022

UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes

NeurIPS 2022accept

We introduce UViM, a unified approach capable of modeling a wide range of computer vision tasks. In contrast to previous models, UViM has the same functional form for all tasks; it requires no task-specific modifications which require extensive human expertise. The approach involves two components:…