hula-ai / mc_dropconnectLinks
The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs
☆17Updated 4 years ago
Alternatives and similar repositories for mc_dropconnect
Users that are interested in mc_dropconnect are comparing it to the libraries listed below
Sorting:
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual e…☆21Updated 5 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated 2 years ago
- Dropout as Regularization and Bayesian Approximation☆58Updated 6 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Updated 4 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.☆18Updated 3 years ago
- ☆33Updated 7 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated last year
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 2 years ago
- Evidential Calibration☆11Updated 3 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Updated 6 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆111Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆36Updated 2 years ago
- ☆38Updated 4 years ago
- ☆24Updated 4 years ago
- Semi-supervised variational autoencoder for survival prediction☆14Updated last year
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆27Updated 2 years ago
- Local Temperature Scaling for Probability Calibration☆22Updated 3 years ago