anguyen8 / XAI-papers
☆565Updated last year
Related projects ⓘ
Alternatives and complementary repositories for XAI-papers
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆821Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆196Updated 2 years ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆599Updated 2 years ago
- ☆904Updated last year
- A collection of research materials on explainable AI/ML☆1,416Updated last week
- Towards Automatic Concept-based Explanations☆157Updated 6 months ago
- 💡 Adversarial attacks on explanations and how to defend them☆300Updated 8 months ago
- Related papers for robust machine learning☆564Updated last year
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆734Updated 4 years ago
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆340Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆72Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆181Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆344Updated 4 years ago
- List of relevant resources for machine learning from explanatory supervision☆152Updated 4 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆550Updated 9 months ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆315Updated last year
- A curated list of awesome Fairness in AI resources☆313Updated last year
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆547Updated 3 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆529Updated 3 years ago
- A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recog…☆1,072Updated 8 months ago
- Detect model's attention☆154Updated 4 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆342Updated 5 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆344Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆786Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆232Updated 2 months ago
- Code for the TCAV ML interpretability project☆632Updated 3 months ago
- A Survey☆542Updated last year
- XAI - An eXplainability toolbox for machine learning☆1,117Updated 3 years ago
- DTD implement on Imagenet pretrained model☆39Updated 4 years ago