dccastro / Morpho-MNIST
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
☆85Updated 3 weeks ago
Alternatives and similar repositories for Morpho-MNIST:
Users that are interested in Morpho-MNIST are comparing it to the libraries listed below
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- ☆46Updated 4 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆60Updated 2 years ago
- Stochastic Segmentation Networks☆66Updated 4 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 4 months ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Updated 5 years ago
- Information Bottlenecks for Attribution☆77Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆60Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 6 months ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 3 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
- Code for Diff-SCM paper☆93Updated last year
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆57Updated 8 months ago
- ☆34Updated 4 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆23Updated 2 years ago
- Disentanglement library for PyTorch☆277Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 9 months ago
- Assessing Generative Models via Precision and Recall (official repository)☆104Updated 2 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆147Updated last year
- sumanabasu / Early-Prediction-of-Alzheimer-s-Disease-Progression-Using-Variational-Autoencoders-MICCAI-2019Predicts progression of Alzheimer's from MRI☆13Updated 3 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- Exploration of the latent space of generative models on Lung-CT scans☆16Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆134Updated last year
- ☆66Updated 5 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆105Updated last year