yding5 / AdaptiveBinningLinks
Adaptive-binning for evaluation of confidence calibration
☆12Updated 5 years ago
Alternatives and similar repositories for AdaptiveBinning
Users that are interested in AdaptiveBinning are comparing it to the libraries listed below
Sorting:
- ☆35Updated 4 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Updated 6 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆22Updated 4 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 2 weeks ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Quantile risk minimization☆24Updated 9 months ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆12Updated 11 months ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated 3 weeks ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- ☆24Updated 6 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆32Updated 7 months ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Updated 2 years ago
- ☆24Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]☆13Updated last year
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated 10 months ago
- ☆46Updated 4 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆42Updated 6 years ago