This page shows the most relevant public items for CLIP, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Mar 4, 2021 • Distill • Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, Chris Olah
We investigate the internal representations of the CLIP model and discover the presence of 'multimodal neurons'. These neurons fire not only for specific visual features (like a spider) but also fo...
Paper • Feb 26, 2021 • arXiv • Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever
State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories, restricting their generality. We demonstrate that the simple pre-training task of pre...
It ranks public content for CLIP using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to CLIP topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to CLIP topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use the linked entities section to jump to labs, companies, and experts connected to this topic and explore their timelines. This guidance is specific to CLIP topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Yes. Use the follow button on this page to subscribe and track new high-signal activity. This guidance is specific to CLIP topic page on Attendemia and is written so it still makes sense without reading other sections on the page.