clabrugere / evidential-deeplearning
Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
☆13Updated last year
Related projects: ⓘ
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Recycling diverse models☆42Updated last year
- ☆33Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆30Updated last year
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- ☆40Updated last year
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- ☆31Updated 5 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- An unofficial implementation of BYOL for self-supervised representation learning on CIFAR-10 (TensorFlow 2)☆24Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 4 months ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆27Updated last year
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆47Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆33Updated last year
- ☆34Updated last year
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 3 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆64Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆36Updated last year
- ☆19Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated last year
- An education step by step implementation of SimCLR that accompanies the blogpost☆31Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆40Updated 2 years ago
- A method to generate counterfactuals☆11Updated 4 months ago
- trying to obtain uncertainties from training accuracies using timm☆9Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆38Updated 2 years ago
- Reusable BatchBALD implementation☆74Updated 6 months ago
- ☆18Updated 2 years ago