TianhongDai / integrated-gradient-pytorch
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
☆182Updated 2 years ago
Alternatives and similar repositories for integrated-gradient-pytorch:
Users that are interested in integrated-gradient-pytorch are comparing it to the libraries listed below
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠(ICLR 2019)☆128Updated 3 years ago
- ☆109Updated 2 years ago
- Towards Automatic Concept-based Explanations☆159Updated 10 months ago
- ☆51Updated 4 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 4 years ago
- Pytorch implementation of Virtual Adversarial Training☆133Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- ☆174Updated 7 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆615Updated 3 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- PyTorch code to run synthetic experiments.☆415Updated 3 years ago
- Full-gradient saliency maps☆208Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆344Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 3 years ago
- ☆64Updated 4 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆179Updated 4 years ago
- Tools for training explainable models using attribution priors.☆123Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆334Updated 3 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆270Updated 6 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆76Updated 5 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago