salusanga / alm-dnn
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]
☆13Updated last year
Alternatives and similar repositories for alm-dnn:
Users that are interested in alm-dnn are comparing it to the libraries listed below
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆62Updated last year
- Stochastic Segmentation Networks☆66Updated 4 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 7 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆60Updated 2 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆20Updated 2 years ago
- JiahuaDong / ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation☆13Updated 5 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆66Updated 4 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆15Updated 2 years ago
- ☆24Updated 5 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆14Updated 5 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆64Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 3 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆147Updated last year
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆17Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 4 months ago
- Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty☆12Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆135Updated last year
- [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization☆26Updated 2 months ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆11Updated 8 months ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 3 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation☆22Updated last year
- An official implementation of "On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Rep…☆9Updated 11 months ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Updated 2 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago