AmeenAli / XAI_TransformersLinks
Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation
☆65Updated 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]☆192Updated 3 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- ☆253Updated 4 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆87Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆96Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆215Updated 2 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Updated 4 years ago
- ☆25Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆70Updated this week
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆84Updated last year
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆130Updated 11 months ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆218Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- This is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision…☆31Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 3 years ago
- NumPy library for calibration metrics☆73Updated last week
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 3 months ago
- Dataset and code for the CLEVR-XAI dataset.☆32Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆163Updated last year
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆133Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆59Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 2 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆35Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Updated 3 weeks ago