maxdreyer / L-CRPLinks
Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
☆15Updated last year
Alternatives and similar repositories for L-CRP
Users that are interested in L-CRP are comparing it to the libraries listed below
Sorting:
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆20Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆139Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆100Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆225Updated 3 years ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆16Updated 3 years ago
- Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models☆24Updated 2 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆238Updated 4 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆52Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆128Updated last year
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆74Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- Official PyTorch implementation of improved B-cos models☆55Updated 2 months ago
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.☆38Updated 2 months ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆15Updated 5 months ago
- Detect model's attention☆169Updated 5 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆24Updated 2 years ago
- The official code of Relevance-CAM☆45Updated last year
- A framework for studying the best practises for Mahalanobis distance for OOD detection☆19Updated last year
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆18Updated 5 months ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Updated 4 years ago
- Concept Bottleneck Models, ICML 2020☆233Updated 2 years ago
- ☆11Updated 8 months ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Updated last year
- Invertible Concept-based Explanation (ICE)☆19Updated last month
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆39Updated 3 years ago
- ☆43Updated last year
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2…☆30Updated 11 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆40Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago