evidential-deep-learning topic
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
chemprop
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
ECCV2022-DELU
[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization
MT-ENet
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
ICLR2024-REDL
[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
miles-guess
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.