🌟 New! ABLkit released: A toolkit for Abductive Learning with high flexibility, user-friendly interface, and optimized performance. Welcome to try it out!🚀
This is the repository for holding the sample code of Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees in AAAI 2024.
Our code relies on PyTorch, which will be automatically installed when you follow the instructions below.
conda create -n abl-tl python=3.8
conda activate abl-tl
pip install -r requirements.txt
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ABL-TL on ConjEq.
python main.py --train_loss TL --kb ConjEq
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TL-Risk on Conjunction.
python main.py --train_loss TL --kb Conjunction
@inproceedings{tao2024deciphering,
title={Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees},
author={Tao, Lue and Huang, Yu-Xuan and Dai, Wang-Zhou and Jiang, Yuan},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2024}
}