maxdreyer / Reveal2Revise
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
☆19Updated last year
Alternatives and similar repositories for Reveal2Revise:
Users that are interested in Reveal2Revise are comparing it to the libraries listed below
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆14Updated last year
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆13Updated 3 weeks ago
- CoSy: Evaluating Textual Explanations☆14Updated last month
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆124Updated 9 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆212Updated 7 months ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆88Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆33Updated 10 months ago
- ☆11Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆62Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆15Updated 11 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆204Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆41Updated this week
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆24Updated 3 months ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆13Updated 4 years ago
- ☆9Updated 3 years ago
- ☆39Updated 10 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆36Updated 4 months ago
- Invertible Concept-based Explanation (ICE)☆18Updated 3 years ago
- Official PyTorch implementation of improved B-cos models☆47Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆73Updated 9 months ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆15Updated 2 years ago
- ☆10Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 4 months ago
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆91Updated 11 months ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year