AmeenAli / XAI_TransformersLinks
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
☆63Updated 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]☆172Updated this week
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 2 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆87Updated last year
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆137Updated 4 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated 10 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆213Updated 3 years ago
- ☆242Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆96Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆205Updated 2 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆128Updated 8 months ago
- ☆25Updated last year
- This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision…☆30Updated last year
- A simple PyTorch implementation of influence functions.☆89Updated last year
- A toolkit for quantitative evaluation of data attribution methods.☆49Updated last week
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- ☆121Updated 3 years ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆63Updated last month
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 weeks ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆79Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated 2 years ago
- LISA for ICML 2022☆50Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆212Updated 7 months ago
- ☆35Updated 3 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago