Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
☆19Mar 21, 2024Updated 2 years ago
Alternatives and similar repositories for regression_uncertainty
Users that are interested in regression_uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Apr 4, 2025Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 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
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Bayesian Federated Learning in Parallel☆10Dec 1, 2022Updated 3 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- ☆18Sep 3, 2024Updated last year
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 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.
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 5 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Aug 21, 2025Updated 9 months ago
- Adversarial Style Augmentation for Domain Generalization☆18Mar 18, 2023Updated 3 years ago
- ☆23Jan 25, 2024Updated 2 years ago
- DeepEarth: AI Foundation Model for Planetary Science & Sustainability☆32Updated this week
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 years ago
- This is the official implementation of "Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation".☆15Mar 29, 2025Updated last year
- ☆10Nov 13, 2018Updated 7 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.
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 2 years ago
- [WWW 2025] Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning☆23Apr 17, 2026Updated last month
- Invariant-feature Subspace Recovery (ISR)☆23Sep 23, 2022Updated 3 years ago
- ☆10Sep 14, 2022Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆12Aug 12, 2021Updated 4 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆44Apr 29, 2023Updated 3 years ago
- 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.
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 years ago
- Spatial Interpolation in Python☆13Oct 28, 2023Updated 2 years ago
- ☆15Jun 27, 2025Updated 10 months ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆51Mar 31, 2022Updated 4 years ago
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated last year
- Fast Approximate Quadratic Assignment for (Brain) Graph Matching☆16Aug 23, 2016Updated 9 years ago
- FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images☆17Oct 13, 2025Updated 7 months ago