[ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
☆47Apr 29, 2023Updated 3 years ago
Alternatives and similar repositories for IEDL
Users that are interested in IEDL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Sep 2, 2025Updated last year
- Analysis of evidential models☆15Jun 22, 2023Updated 3 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Continual Evidential Deep Learning ICCVW 2023☆14Nov 3, 2023Updated 2 years ago
- 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆33Mar 5, 2023Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆126Nov 18, 2024Updated last year
- Evidential Deep Learning in PyTorch☆74Sep 27, 2022Updated 4 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 6 years ago
- ☆13Feb 12, 2024Updated 2 years ago
- [AAAI 2025] Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification☆21Apr 17, 2025Updated last year
- 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.
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆20Jun 30, 2024Updated 2 years ago
- A curated publication list on evidential deep learning.☆192Apr 16, 2025Updated last year
- Reliable Conflictive Multi-view Learning☆96Mar 24, 2024Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Nov 28, 2022Updated 3 years ago
- [ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classifi…☆25Aug 18, 2026Updated 2 months ago
- ☆12Mar 27, 2024Updated 2 years ago
- Code for AAAI2024 paper: Towards Evidential and Class Separable Open Set Object Detection☆12Dec 23, 2023Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆79May 18, 2022Updated 4 years ago
- Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory☆13May 31, 2022Updated 4 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.
- Proof of concept of the SayCan project applying on real UR5 robot☆10May 15, 2023Updated 3 years ago
- ☆10Sep 14, 2022Updated 4 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆529Aug 31, 2021Updated 5 years ago
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Mar 19, 2023Updated 3 years ago
- Breast cancer is one of the common known cancer and IDC is the most common form of breast cancer. It is very important to identify and ca…☆11Feb 26, 2019Updated 7 years ago
- ☆43Aug 21, 2025Updated last year
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆30Jun 27, 2023Updated 3 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆19Aug 4, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆30Oct 23, 2024Updated 2 years ago
- Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios☆12Mar 21, 2024Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 4 years ago
- SUQ: Streamlined Uncertainty Quantification☆12Oct 7, 2025Updated last year
- Code for ICML 2026 -- MEDSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models☆15Jul 2, 2026Updated 3 months ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆28Oct 16, 2023Updated 3 years ago
- ☆20Jul 2, 2026Updated 3 months ago