AmeenAli / XAI_TransformersLinks
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
☆67Updated 3 years ago
Alternatives and similar repositories for XAI_Transformers
Users that are interested in XAI_Transformers are comparing it to the libraries listed below
Sorting:
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆218Updated 6 months ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆133Updated last year
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆89Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆76Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- ☆33Updated 2 months ago
- ☆263Updated 4 years ago
- Concept Bottleneck Models, ICML 2020☆237Updated 2 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Updated 3 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆55Updated 2 years ago
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 3 years ago
- This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision…☆32Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆54Updated 6 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆72Updated this week
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆140Updated 2 weeks ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆168Updated last year
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆139Updated 4 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆129Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆86Updated 3 weeks ago
- Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024☆22Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆65Updated 4 months ago
- Code and Dataset release of "Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models" (NAACL 2024)☆10Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆33Updated 2 years ago
- [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…☆20Updated 3 years ago
- Official code repository for Correct-N-Contrast☆23Updated 3 years ago
- LISA for ICML 2022☆52Updated 2 years ago
- Source code for paper "Contrastive Out-of-Distribution Detection for Pretrained Transformers", EMNLP 2021☆40Updated 4 years ago