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AutoCAD

Code and datasets for our paper "AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning"

autocad_overview

Updates

[Oct 13 2022] Code released

1. Environment Setup

  • python >= 3.8
  • pip install -r requirements.txt

2. Data Preprocessing

  • Run unzip data.zip

3. Run the Code

Before running the code, please change the WORKING_DIR in the script according to your own path.

(1) Train a Classifier

bash scripts/train.sh

(2) Identify Rationales

  • get gradient-based saliency scores: bash scripts/saliency.sh

  • get rationale-corrupted data: python tools/highlight.py

(3) Train a Counterfactual Generator

  • train a counterfactual generator on the rationale-corrupted data: bash scripts/train_generator.sh

(4) Generate Counterfactuals

  • generate counterfactuals on the label-flipped rationale-corrupted data: bash scripts/generate.sh

(5) Consistency Filtering

  • predict the label of the generated counterfactuals with the fine-tuned classifier: bash scripts/predict.sh