beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
☆54Mar 31, 2022Updated 4 years ago
Alternatives and similar repositories for beta-nll
Users that are interested in beta-nll 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 repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆79May 18, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆12Apr 4, 2025Updated last year
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆19Jul 8, 2024Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- Source Code for the ICML 2020 Paper on Uncertainty & Robustness in Deep Learning☆17Aug 28, 2023Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 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
- ☆24Mar 31, 2021Updated 5 years ago
- Implementation for Proximal Neural Networks.☆11Sep 17, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆38Dec 27, 2022Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Sep 3, 2024Updated 2 years ago
- ☆14Sep 11, 2022Updated 3 years ago
- ☆17Jun 18, 2024Updated 2 years ago
- Bayesian low-rank adaptation for large language models☆29May 4, 2024Updated 2 years ago
- 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
- ☆12Apr 13, 2021Updated 5 years ago
- Revisiting Rainbow☆76Jun 9, 2021Updated 5 years ago
- Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. http://proceedings.mlr.press/v70/foerster17a/foerster1…☆10Oct 15, 2017Updated 8 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.
- JAX implementation of 'A Two-Layer model of Soil Hydrology' (Mahrt & Pan, 1984) for timeseries at a point location.☆10Oct 23, 2024Updated last year
- Dissecting the weight space of neural networks☆18Apr 16, 2021Updated 5 years ago
- Regularized Learning under label shifts☆18May 1, 2019Updated 7 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Oct 23, 2022Updated 3 years ago
- Official repo of the OpenApePose dataset☆13Feb 6, 2024Updated 2 years ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆78Nov 7, 2024Updated last year
- ☆16May 12, 2023Updated 3 years ago
- Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper☆11Aug 3, 2016Updated 10 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Used to create perfusion maps of computed tomography perfusion☆15Dec 1, 2016Updated 9 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- ☆54Jul 8, 2026Updated last month
- ☆23Apr 13, 2024Updated 2 years ago
- Python package for dealing with large gridded datasets☆12Sep 6, 2024Updated last year
- ☆11Jun 19, 2024Updated 2 years ago
- Tutorials and experiments related to deep learning☆16May 18, 2022Updated 4 years ago