anguyen8 / XAI-papers
☆569Updated last year
Alternatives and similar repositories for XAI-papers:
Users that are interested in XAI-papers are comparing it to the libraries listed below
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆819Updated 2 years ago
- A collection of research materials on explainable AI/ML☆1,442Updated 2 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆607Updated 2 years ago
- Detect model's attention☆162Updated 4 years ago
- ☆910Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆200Updated 2 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆304Updated last month
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆742Updated 4 years ago
- Towards Automatic Concept-based Explanations☆157Updated 8 months ago
- Paper bank for Self-Supervised Learning☆579Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆237Updated 5 months ago
- Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations☆573Updated 2 months ago
- A curated list of awesome Fairness in AI resources☆313Updated last year
- Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources☆151Updated 3 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,276Updated last year
- Related papers for robust machine learning☆566Updated last year
- List of relevant resources for machine learning from explanatory supervision☆155Updated 6 months ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆352Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated 11 months ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Updated 4 years ago
- XAI - An eXplainability toolbox for machine learning☆1,146Updated 3 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆331Updated 2 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- Pytorch implementation of various neural network interpretability methods☆113Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆923Updated last year
- OmniXAI: A Library for eXplainable AI☆892Updated 5 months ago
- A Survey☆546Updated last year
- A curated list of trustworthy deep learning papers. Daily updating...☆349Updated last week