mndu / REATLinks
PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition
☆10Updated 4 years ago
Alternatives and similar repositories for REAT
Users that are interested in REAT are comparing it to the libraries listed below
Sorting:
- ☆50Updated 2 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks☆24Updated 4 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion☆21Updated 6 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- ☆14Updated 5 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- ☆12Updated 4 years ago
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆16Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- ☆17Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆32Updated 7 years ago
- SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)☆31Updated 4 years ago
- ☆51Updated 6 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated last week
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- ☆41Updated last year
- Code and data for the ACM CIKM 2022 paper "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"☆10Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- ☆22Updated 6 years ago
- Papers and online resources related to machine learning fairness☆72Updated 2 years ago
- ☆26Updated 4 years ago
- ☆22Updated 6 years ago