maxdreyer / Reveal2ReviseLinks
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
☆20Updated last year
Alternatives and similar repositories for Reveal2Revise
Users that are interested in Reveal2Revise are comparing it to the libraries listed below
Sorting:
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated 4 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆49Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆137Updated last year
- Invertible Concept-based Explanation (ICE)☆18Updated 2 weeks ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆71Updated 2 years ago
- ☆41Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆18Updated 4 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆86Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆120Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆233Updated 3 months ago
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆14Updated 2 weeks ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Updated 11 months ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆56Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆37Updated 3 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- Python package to accelerate research on generalized out-of-distribution (OOD) detection.☆14Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆98Updated 3 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- ☆18Updated 5 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆69Updated last month
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization☆28Updated 10 months ago
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆202Updated 4 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆39Updated last year
- Basic LRP implementation in PyTorch☆172Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆223Updated 3 years ago