Jiachen-T-Wang / dirichlet-priornet
Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.
☆28Updated 4 years ago
Alternatives and similar repositories for dirichlet-priornet:
Users that are interested in dirichlet-priornet are comparing it to the libraries listed below
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Updated 3 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆41Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆32Updated last year
- Implementation of Deep evidential regression paper☆53Updated 4 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆36Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆24Updated last year
- Evidential Deep Learning in PyTorch☆47Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆45Updated 2 years ago
- ☆21Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks☆32Updated 3 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆39Updated last year
- AM207 project: dissect aleatoric and epistemic uncertainty☆85Updated 5 years ago
- ☆40Updated 5 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆41Updated 2 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆57Updated 2 years ago
- ☆99Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- [ICLR 2022] Graph-Relational Domain Adaptation☆43Updated 10 months ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆59Updated 6 years ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆31Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆43Updated last year
- Robust Domain Adaptation under Noisy Environments☆18Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆16Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆105Updated last year
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago