| Laion-5b: An open large-scale dataset for training next generation image-text models C Schuhmann, R Beaumont, R Vencu, C Gordon, R Wightman, M Cherti, ... Advances in Neural Information Processing Systems 35, 25278-25294, 2022 | 3069 | 2022 |
| Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ... International conference on machine learning, 23965-23998, 2022 | 951 | 2022 |
| Reproducible scaling laws for contrastive language-image learning M Cherti, R Beaumont, R Wightman, M Wortsman, G Ilharco, C Gordon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 713 | 2023 |
| Robust fine-tuning of zero-shot models M Wortsman, G Ilharco, JW Kim, M Li, S Kornblith, R Roelofs, RG Lopes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 703 | 2022 |
| Openclip, 2021 G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... If you use this software, please cite it as below 3 (5), 0 | 645* | |
| Openflamingo: An open-source framework for training large autoregressive vision-language models A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ... arXiv preprint arXiv:2308.01390, 2023 | 526 | 2023 |
| Editing models with task arithmetic G Ilharco, MT Ribeiro, M Wortsman, S Gururangan, L Schmidt, ... arXiv preprint arXiv:2212.04089, 2022 | 454 | 2022 |
| What's hidden in a randomly weighted neural network? V Ramanujan, M Wortsman, A Kembhavi, A Farhadi, M Rastegari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 402 | 2020 |
| Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 2024 | 366 | 2024 |
| Supermasks in superposition M Wortsman, V Ramanujan, R Liu, A Kembhavi, M Rastegari, J Yosinski, ... Advances in Neural Information Processing Systems 33, 15173-15184, 2020 | 327 | 2020 |
| Learning to learn how to learn: Self-adaptive visual navigation using meta-learning M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 267 | 2019 |
| Soft threshold weight reparameterization for learnable sparsity A Kusupati, V Ramanujan, R Somani, M Wortsman, P Jain, S Kakade, ... International Conference on Machine Learning, 5544-5555, 2020 | 252 | 2020 |
| Patching open-vocabulary models by interpolating weights G Ilharco, M Wortsman, SY Gadre, S Song, H Hajishirzi, S Kornblith, ... Advances in Neural Information Processing Systems 35, 29262-29277, 2022 | 149 | 2022 |
| Data determines distributional robustness in contrastive language image pre-training (clip) A Fang, G Ilharco, M Wortsman, Y Wan, V Shankar, A Dave, L Schmidt International Conference on Machine Learning, 6216-6234, 2022 | 146 | 2022 |
| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 140 | 2024 |
| Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation SY Gadre, M Wortsman, G Ilharco, L Schmidt, S Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 128 | 2023 |
| Discovering neural wirings M Wortsman, A Farhadi, M Rastegari Advances in Neural Information Processing Systems 32, 2019 | 123 | 2019 |
| Quality not quantity: On the interaction between dataset design and robustness of clip T Nguyen, G Ilharco, M Wortsman, S Oh, L Schmidt Advances in Neural Information Processing Systems 35, 21455-21469, 2022 | 98 | 2022 |
| Learning neural network subspaces M Wortsman, MC Horton, C Guestrin, A Farhadi, M Rastegari International Conference on Machine Learning, 11217-11227, 2021 | 94 | 2021 |
| Clip on wheels: Zero-shot object navigation as object localization and exploration SY Gadre, M Wortsman, G Ilharco, L Schmidt, S Song arXiv preprint arXiv:2203.10421 3 (4), 7, 2022 | 91 | 2022 |
Ludwig SchmidtStanford University and AnthropicE-mailová adresa ověřena na: stanford.edu