Artikler med mandater om offentlig tilgang - Mitchell WortsmanLes mer
Tilgjengelige et eller annet sted: 13
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
Mandater: Federal Ministry of Education and Research, Germany
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: Helmholtz Association
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
Mandater: US National Science Foundation
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation
Discovering neural wirings
M Wortsman, A Farhadi, M Rastegari
Advances in Neural Information Processing Systems 32, 2019
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation
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
Mandater: US National Science Foundation
Informasjon om publisering og finansiering fastsettes automatisk av et datamaskinprogram