TUM-DAML / dbu-robustnessLinks
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
☆28Updated 2 years ago
Alternatives and similar repositories for dbu-robustness
Users that are interested in dbu-robustness are comparing it to the libraries listed below
Sorting:
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- Quantile risk minimization☆24Updated last year
- ☆42Updated 6 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆25Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- ☆18Updated 4 years ago
- ☆38Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 4 years ago
- ☆66Updated 5 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆32Updated 5 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- ☆53Updated 7 years ago
- ☆31Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Updated last year
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆30Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- ☆83Updated last year
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 5 years ago