Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
☆19Sep 2, 2025Updated 10 months ago
Alternatives and similar repositories for EvidentialADA
Users that are interested in EvidentialADA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆33Mar 5, 2023Updated 3 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 3 years ago
- ☆12Mar 27, 2024Updated 2 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆14Sep 23, 2024Updated last year
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆17Mar 20, 2026Updated 4 months ago
- Code for AAAI2024 paper: Towards Evidential and Class Separable Open Set Object Detection☆12Dec 23, 2023Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- ☆13Dec 15, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆16Nov 28, 2023Updated 2 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Jul 3, 2021Updated 5 years ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated last year
- ☆12Feb 17, 2025Updated last year
- evclust : Python library for evidential clustering☆14Mar 10, 2025Updated last year
- Code for "Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning (ICML 2026)".☆20Jun 9, 2026Updated last month
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Apr 5, 2021Updated 5 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆15Jun 1, 2021Updated 5 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆20Apr 18, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official code for ICML 2024 paper "Learning to Continually Learn with the Bayesian Principle"☆21May 27, 2024Updated 2 years ago
- 2021MathorCup高校数学建模挑战赛大数据竞赛B题-遥感地块分割-国家一等奖☆13May 1, 2021Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Jun 30, 2024Updated 2 years ago
- Evidential Deep Learning in PyTorch☆74Sep 27, 2022Updated 3 years ago
- Concept-based generative models☆12Dec 13, 2024Updated last year
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆26Jun 27, 2023Updated 3 years ago
- [AAAI24] Official implement of <Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning>☆23Jan 31, 2024Updated 2 years ago
- [CVPR2024] Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts☆30Jun 18, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆33Aug 30, 2024Updated last year
- ☆17Jun 18, 2024Updated 2 years ago
- Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neura…☆30Sep 14, 2023Updated 2 years ago
- [CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition☆31Apr 19, 2023Updated 3 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆139Nov 18, 2024Updated last year
- [CVPR 2026 Oral] Official implementation for "MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence"☆29Apr 9, 2026Updated 3 months ago
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆30Jul 9, 2025Updated last year