aperezlebel / beyond_calibration
Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
☆11Updated last year
Alternatives and similar repositories for beyond_calibration:
Users that are interested in beyond_calibration are comparing it to the libraries listed below
- Large-scale uncertainty benchmark in deep learning.☆51Updated last month
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 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
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆11Updated 5 months ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆30Updated 4 years ago
- ☆32Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆41Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12Updated 2 years ago
- Conformal prediction for uncertainty quantification in image segmentation☆20Updated 2 months ago
- ☆15Updated 4 years ago
- ☆17Updated 6 months ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆55Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated 11 months ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated 3 weeks ago
- Quantile risk minimization☆24Updated 6 months ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Uncertainty-aware representation learning (URL) benchmark☆100Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆12Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- ☆146Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆73Updated last year