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This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Created
2019-12-19
53 commits to master branch, last one 2 years ago
[ICCV 2021 Oral] Deep Evidential Action Recognition
Created
2021-02-24
1,137 commits to master branch, last one about a year ago
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Created
2021-07-22
785 commits to confidence-evidential branch, last one 3 years ago
[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization
Created
2022-07-12
25 commits to main branch, last one 10 months ago
[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Created
2024-02-20
10 commits to main branch, last one 3 months ago
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
Created
2023-09-01
213 commits to main branch, last one 5 months ago