hurrialice / uncertainties
AM207 project: dissect aleatoric and epistemic uncertainty
☆88Updated 5 years ago
Alternatives and similar repositories for uncertainties:
Users that are interested in uncertainties are comparing it to the libraries listed below
- Implementation of Deep evidential regression paper☆54Updated 4 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆78Updated 3 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆161Updated 5 years ago
- ☆102Updated 3 years ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆212Updated 5 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆28Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆66Updated 5 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆189Updated 3 years ago
- ☆234Updated 4 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆32Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated last year
- ☆67Updated 2 years ago
- PyTorch implementation of the GradNorm☆86Updated 6 months ago
- Evidential Deep Learning in PyTorch☆52Updated 2 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆40Updated last year
- Code for "Dual Focal Loss for Calibration" (ICML 2023)☆30Updated 5 months ago
- [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices☆52Updated last year
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆81Updated 3 years ago
- Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)☆24Updated 3 years ago
- Class-Imbalanced Semi-Supervised Learning code☆11Updated 3 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆75Updated last year
- [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339☆45Updated 2 years ago
- ☆31Updated 4 years ago
- resource collection for transfer learning!☆247Updated last year
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- ☆14Updated 4 years ago