(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
☆50Dec 14, 2022Updated 3 years ago
Alternatives and similar repositories for BayesCap
Users that are interested in BayesCap are comparing it to the libraries listed below
Sorting:
- 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
- ☆17Jun 18, 2024Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆45Dec 21, 2023Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Jun 21, 2024Updated last year
- ☆17Sep 3, 2024Updated last year
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆103Nov 9, 2025Updated 4 months ago
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆19Aug 4, 2024Updated last year
- [MedIA'22] Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior☆11Apr 3, 2024Updated last year
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆14Aug 13, 2024Updated last year
- 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
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- ☆11Apr 4, 2025Updated 11 months ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Dec 20, 2019Updated 6 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Code for FPI submission to MOOD 2020☆16Aug 9, 2021Updated 4 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 2 years ago
- Official repository for the WACV2023 paper Hyperdimensional Feature Fusion for Out-of-Distribution Detection☆15Feb 26, 2023Updated 3 years ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Dec 16, 2022Updated 3 years ago
- Normal Inference Module in PyTorch, IROS 2020☆15Jul 5, 2021Updated 4 years ago
- [ICLR'22] Representation-Agnostic Shape Fields☆17Dec 8, 2022Updated 3 years ago
- ☆24Mar 31, 2021Updated 4 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Nov 29, 2022Updated 3 years ago
- [MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation☆16Jul 5, 2022Updated 3 years ago
- Pytorch implementation of our ICCV 2021 paper "Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling"☆21Apr 2, 2024Updated last year
- AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation☆40Oct 3, 2022Updated 3 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆49Mar 31, 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
- [ECCV2022] Revisiting the Critical Factors of Augmentation-Invariant Representation Learning☆12Aug 3, 2022Updated 3 years ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆45Apr 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
- Quantification of Uncertainty with Adversarial Models☆29Jul 11, 2023Updated 2 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- ☆12May 22, 2022Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆32Apr 27, 2021Updated 4 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Dec 8, 2022Updated 3 years ago