alceubissoto / debiasing-skin

Related projects ⓘ

Alternatives and complementary repositories for debiasing-skin

• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆62Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆34Updated 4 years ago
• arnav-gudibande / conceptSHAP
  PyTorch Transformer-based Language Model Implementation of ConceptSHAP
  ☆12Updated 4 years ago
• dmelis / SENN
  Self-Explaining Neural Networks
  ☆13Updated last year
• anirbansarkar-cs / Ante-hoc_Explainability_Concepts
  Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).
  ☆8Updated 4 months ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆23Updated 2 years ago
• chihkuanyeh / concept_exp
  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"
  ☆51Updated 2 years ago
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆11Updated 3 years ago
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆18Updated 3 years ago
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 2 years ago
• suinleelab / cxr_covid
  Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
  ☆29Updated 3 years ago
• DelTA-Lab-IITK / U-CAM
  Visual Explanation using Uncertainty based Class Activation Maps
  ☆21Updated 4 years ago
• ServiceNow / beyond-trivial-explanations
  Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…
  ☆13Updated last year
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆28Updated 2 years ago
• IntelLabs / AVUC
  Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
  ☆53Updated last year
• keiserlab / rcav
  'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation
  ☆11Updated 4 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆100Updated last year
• chl8856 / DeepIMV
  A Variational Information Bottleneck Approach to Multi-Omics Data Integration
  ☆22Updated 3 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆84Updated 4 months ago
• JackeyWang96 / TesNet
  ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)
  ☆19Updated 2 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 3 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆33Updated 3 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆70Updated 4 years ago
• xksteven / multilabel-ood
  Multilabel Out-of-Distribution Detection
  ☆10Updated 4 years ago
• ZerojumpLine / ModelEvaluationUnderClassImbalance
  [MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
  ☆11Updated 5 months ago
• CAMP-eXplain-AI / InputIBA
  NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
  ☆32Updated 2 years ago
• batmanlab / Explanation_by_Progressive_Exaggeration
  Explanation by Progressive Exaggeration
  ☆20Updated 2 years ago