peiwang062 / SCOUT
☆11Updated 2 years ago
Alternatives and similar repositories for SCOUT:
Users that are interested in SCOUT are comparing it to the libraries listed below
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 9 months ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Updated 4 years ago
- Code for the papers: "Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training", Valvano et al., DART 2021; and "Re…☆10Updated 3 years ago
- Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution☆16Updated 2 years ago
- Quantile risk minimization☆24Updated 8 months ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆30Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 2 months ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- JiahuaDong / ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation☆13Updated 5 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated 2 years ago
- [Science Advances] Demographic Bias of Vision-Language Foundation Models in Medical Imaging☆18Updated 3 weeks ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- Code for Diff-SCM paper☆96Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 11 months ago
- ☆25Updated 2 years ago
- ☆34Updated 4 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- ☆19Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆38Updated 3 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 4 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 2 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 3 years ago
- ☆24Updated 4 years ago