salusanga / alm-dnnLinks
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
Sorting:
- Stochastic Segmentation Networks☆66Updated 5 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
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆65Updated 2 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 11 months ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆16Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 5 months ago
- NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis☆26Updated 8 months ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty☆12Updated 3 years ago
- JiahuaDong / ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation☆13Updated 5 years ago
- [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.☆12Updated last year
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆66Updated 4 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- [CVPR 2023] TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation☆23Updated 2 years ago
- Quantile risk minimization☆24Updated 10 months ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 5 years ago
- ☆24Updated 6 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
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)☆12Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆32Updated 8 months ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Mutual Information Gradient Estimation☆12Updated 3 years ago