TaeseongYoon / DAEDLLinks
[ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning
☆10Updated 11 months ago
Alternatives and similar repositories for DAEDL
Users that are interested in DAEDL are comparing it to the libraries listed below
Sorting:
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆18Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- This is official code for "Combating Label Distribution Shift for Active Domain Adaptation" accepted in ECCV2022☆16Updated 2 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- Local Context-Aware Active Domain Adaptation (ICCV 2023)☆19Updated last year
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical…☆25Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆20Updated 3 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- Evidential Deep Learning in PyTorch☆61Updated 2 years ago
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆23Updated last year
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆38Updated 7 months ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)