atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
Work on Evidential Deep Learning to Quantify Classification Uncertainty
☆56Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for evidential-deep-learning-to-quantify-classification-uncertainty
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆53Updated last year
- ☆38Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆129Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- ☆53Updated 6 years ago
- ☆34Updated 4 years ago
- Implementation of Deep evidential regression paper☆51Updated 3 years ago
- ☆65Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆150Updated 2 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆73Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆24Updated 5 months ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆41Updated 4 years ago
- ☆40Updated 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…☆76Updated 3 years ago
- ☆46Updated 3 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆27Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆268Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- ☆13Updated last year
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- Local Temperature Scaling for Probability Calibration☆22Updated 2 years ago