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Richard Vencu

2 accepted papers

2023

DataComp: In search of the next generation of multimodal datasets

NeurIPS 2023oral

Multimodal datasets are a critical component in recent breakthroughs such as CLIP, Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model architectures or training algorithms. To address this shortcoming in the machine learning ecosystem, we introduce Data…

2022

LAION-5B: An open large-scale dataset for training next generation image-text models

NeurIPS 2022accept

Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of training on large amounts of noisy image-text data, without relying on expensive accurate labels used in standard vision unimodal supervised learning. The resulting models showed capabilities of strong text-guide…