| license: apache-2.0 | |
| tags: | |
| - vision | |
| - classification | |
| - uncertainty | |
| datasets: | |
| - imagenet-1k | |
| # Packed-Ensembles trained on ImageNet-1k | |
| ## How to use | |
| Download [TorchUncertainty](https://torch-uncertainty.github.io/) to use this model. | |
| ## License | |
| These weights are provided under the Apache 2.0 license. | |
| ## Citation | |
| If you find these weights interesting, please consider citing our [paper](https://arxiv.org/abs/2210.09184): | |
| ```text | |
| @inproceedings{laurent2023packed, | |
| title={Packed-Ensembles for Efficient Uncertainty Estimation}, | |
| author={Laurent, Olivier and Lafage, Adrien and Tartaglione, Enzo and Daniel, Geoffrey and Martinez, Jean-Marc and Bursuc, Andrei and Franchi, Gianni}, | |
| booktitle={ICLR}, | |
| year={2023} | |
| } | |
| ``` | |