IntelLabs / AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
☆55Updated 2 years ago
Alternatives and similar repositories for AVUC:
Users that are interested in AVUC are comparing it to the libraries listed below
- ☆66Updated 5 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆139Updated last year
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆35Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated 4 months ago
- Uncertainty in Deep Learning Papers☆35Updated 3 years ago
- ☆40Updated 5 years ago
- Belief matching framework official implementation☆40Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- ☆40Updated 5 years ago
- Addressing Failure Prediction by Learning Model Confidence☆171Updated 2 years ago
- ☆46Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- ☆58Updated 3 years ago
- Calibration of Convolutional Neural Networks☆162Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated last year
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆42Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago