Search Results for author: Clayton Mullis

Found 2 papers, 2 papers with code

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

3 code implementations • NeurIPS 2022 Datasets and Benchmarks 2022 • Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev

We show successful replication and fine-tuning of foundational models like CLIP, GLIDE and Stable Diffusion using the dataset, and discuss further experiments enabled with an openly available dataset of this scale.

Image Generation Zero-Shot Learning

9,779

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LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

3 code implementations • 3 Nov 2021 • Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, Aran Komatsuzaki

Multi-modal language-vision models trained on hundreds of millions of image-text pairs (e. g.

Few-Shot Learning

11,469

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