frankaging / Interchange-Intervention-Training

The codebase for Inducing Causal Structure for Interpretable Neural Networks

Interchange Intervention Training (IIT)

Codebase for Inducing Causal Structure for Interpretable Neural Networks

Release Notes

• 12/01/2021: Code and Paper are initially released. Stay tuned for complete implementation for all case studies.

Installation

---

First clone the directory. Then run the following command to initialize the submodules:

git submodule init; git submodule update

Each time pulling from the repository, should do it for both the main repository and the submodules. You can also do it via our script:

bash pull.sh

Usage

---

You will find examples where we implement interchange intervention training (IIT) under ./examples folder.