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Mitchell Wortsman
Mitchell Wortsman
Verified email at cs.washington.edu - Homepage
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Year
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
5292022
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
2972022
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
2602020
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
2342022
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
1862019
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
1812020
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
1522020
Openclip (2021)
G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ...
URL: https://doi. org/10.5281/zenodo 7439141, 0
138*
Discovering neural wirings
M Wortsman, A Farhadi, M Rastegari
Advances in Neural Information Processing Systems 32, 2019
952019
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
692023
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
522022
Learning neural network subspaces
M Wortsman, MC Horton, C Guestrin, A Farhadi, M Rastegari
International Conference on Machine Learning, 11217-11227, 2021
472021
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
412022
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
392022
Editing models with task arithmetic
G Ilharco, MT Ribeiro, M Wortsman, S Gururangan, L Schmidt, ...
arXiv preprint arXiv:2212.04089, 2022
212022
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
182022
DataComp: In search of the next generation of multimodal datasets
SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ...
arXiv preprint arXiv:2304.14108, 2023
162023
Openflamingo
A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ...
March, 2023
152023
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
82023
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
72023
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