Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML
☆12Jun 15, 2023Updated 2 years ago
Alternatives and similar repositories for dum-components
Users that are interested in dum-components are comparing it to the libraries listed below
Sorting:
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- ☆17Sep 3, 2024Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Sep 2, 2025Updated 6 months ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆14Aug 13, 2024Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆24Jun 24, 2025Updated 8 months ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Apr 5, 2023Updated 2 years ago
- A Python library for processing and filtering TabLib☆13Aug 24, 2024Updated last year
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Mar 21, 2024Updated last year
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆23Mar 21, 2025Updated 11 months ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆50Dec 14, 2022Updated 3 years ago
- Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"☆22Oct 18, 2023Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆64May 10, 2025Updated 9 months ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆29Jun 27, 2023Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Mar 18, 2024Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 2 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 2 years ago
- ☆29Jan 25, 2022Updated 4 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Jun 21, 2024Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Mar 5, 2023Updated 2 years ago
- Hybrid Car Model MATLAB Simulink Simscape☆15Jul 27, 2023Updated 2 years ago
- MATLAB solver for the deformation of an elastic half-space based on the Boundary Element Method (BEM)☆15Nov 21, 2023Updated 2 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 years ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- ☆11Aug 19, 2025Updated 6 months ago
- This repository is deprecated and has moved to https://github.com/ccmjs/ccm.☆11Oct 23, 2025Updated 4 months ago
- pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning☆10May 31, 2023Updated 2 years ago
- Team FDVTS_DR's solutions for MICCAI2022 Diabetic Retinopathy Analysis Challenge (DRAC)☆14Mar 5, 2024Updated last year
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Project Title: Using Machine Learning to Understand the Topology of Knots. This repository contains my Project Log and Code.☆10Nov 7, 2018Updated 7 years ago