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62

436

mit

9

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

mnist paper pytorch torchvision uncertainty classification mnist-classification dirichlet-distributions evidential-deep-learning uncertainty-neural-networks

Created 2019-12-19

53 commits to master branch, last one about a year ago

18

121

apache-2.0

5

[ICCV 2021 Oral] Deep Evidential Action Recognition

debiasing ood-detection model-calibration action-recognition openset-recognition video-understanding evidential-deep-learning uncertainty-quantification

Created 2021-02-24

1,137 commits to master branch, last one about a year ago

16

115

mit

7

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

molecule chemistry uncertainty drug-discovery neural-network active-learning virtual-screening bayesian-optimization evidential-deep-learning

Created 2021-07-22

785 commits to confidence-evidential branch, last one 3 years ago

7

40

mit

1

[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization

wtal eccv2022 uncertainty-estimation evidential-deep-learning temporal-action-localization weakly-supervised-temporal-action-localization

Created 2022-07-12

25 commits to main branch, last one 6 months ago

3

33

mit

1

[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

iclr2024 ood-detection evidential-deep-learning uncertainty-quantification out-of-distribution-detection

Created 2024-02-20

9 commits to main branch, last one 3 months ago