Addressing Failure Prediction by Learning Model Confidence
☆174Nov 29, 2022Updated 3 years ago
Alternatives and similar repositories for ConfidNet
Users that are interested in ConfidNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Jul 6, 2020Updated 5 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 3 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Dec 3, 2021Updated 4 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆27Oct 16, 2023Updated 2 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆181Mar 23, 2023Updated 3 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.
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆273May 5, 2018Updated 8 years ago
- Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation☆24Jul 12, 2022Updated 3 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 3 years ago
- This is an Uncertainty Study Arxiv☆12Mar 4, 2025Updated last year
- BRAVO Challenge Toolkit and Evaluation Code☆21Apr 30, 2025Updated last year
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆104Nov 9, 2025Updated 7 months ago
- ☆35Aug 4, 2022Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 4 years ago
- Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation☆397Jan 17, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Depth-aware Domain Adaptation in Semantic Segmentation☆117Feb 24, 2020Updated 6 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Zero-Shot Semantic Segmentation☆192Feb 17, 2020Updated 6 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Nov 6, 2023Updated 2 years ago
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 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.
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Oct 3, 2023Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆269Apr 29, 2021Updated 5 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆23Nov 4, 2022Updated 3 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Apr 8, 2020Updated 6 years ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆991Mar 12, 2026Updated 2 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆233Dec 27, 2018Updated 7 years ago
- a beta version of deep occlusion☆12Sep 28, 2016Updated 9 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆547Oct 12, 2021Updated 4 years ago
- [WACV 2026] An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.☆38Apr 17, 2025Updated last year
- My PhD manuscript LaTeX code and the slides for the defense☆11Feb 2, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,576Updated this week
- Code accompanying "Adaptive Methods for Aggregated Domain Generalization"☆18Dec 11, 2021Updated 4 years ago