inouye-lab / ShapleyExplanationNetworks
Implementation of the paper "Shapley Explanation Networks"
☆88Updated 4 years ago
Alternatives and similar repositories for ShapleyExplanationNetworks:
Users that are interested in ShapleyExplanationNetworks are comparing it to the libraries listed below
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- ☆43Updated 2 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 5 years ago
- ☆64Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- ☆50Updated 2 years ago
- Data-efficient Training of Machine Learning Models☆63Updated 4 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 7 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 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
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆99Updated 3 years ago
- ☆30Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- Self-Explaining Neural Networks☆13Updated last year
- Regularized Learning under label shifts☆18Updated 6 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago