Lei Sha : Publications

Click here to download all publications in a single bibtex file

@inproceedings{SSYMSEXBL-ICLR-2024,
  title = "A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks",
  author = "Tommaso Salvatori and Yuhang Song and Yordan Yordanov and Beren Millidge and Lei Sha and Cornelius Emde and Zhenghua Xu and Rafal Bogacz and Thomas Lukasiewicz",
  year = "2024",
  booktitle = "Proceedings of the 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7--11 May 2024",
  month = "May",
}

@article{SCL-AIJ-2022,
  title = "Rationalizing Predictions by Adversarial Information Calibration",
  author = "Lei Sha and Oana-Maria Camburu and Thomas Lukasiewicz",
  year = "2023",
  journal = "Artificial Intelligence",
  month = "February",
  pages = "103828",
  url = "https://doi.org/10.1016/j.artint.2022.103828",
  volume = "315",
}

@article{SL-TACL-2023,
  title = "Text attribute control via closed-loop disentanglement",
  author = "Lei Sha and Thomas Lukasiewicz",
  year = "2023",
  journal = "Transactions of the Association for Computational Linguistics (TACL)",
  note = "Accepted for publication",
  url = "https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00640/119813/Text-Attribute-Control-via-Closed-Loop",
}

@inproceedings{NeurIPS-SSHFSXBL-2021,
  title = "Associative Memories via Predictive Coding",
  author = "Tommaso Salvatori and Yuhang Song and Yujian Hong and Simon Frieder and Lei Sha and Zhenghua Xu and Rafal Bogacz and Thomas Lukasiewicz",
  year = "2021",
  booktitle = "Proceedings of the 35th Annual Conference on Neural Information Processing Systems, NeurIPS 2021",
  month = "December",
  url = "https://arxiv.org/abs/2109.08063",
}

@inproceedings{SHL-2021,
  title = "Controlling Text Edition by Changing Answers of Specific Questions",
  author = "Lei Sha and Patrick Hohenecker and Thomas Lukasiewicz",
  year = "2021",
  booktitle = "Findings of ACL",
  url = "https://doi.org/10.18653/v1/2021.findings-acl.110",
}

@inproceedings{sha2021learn,
  title = "Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration",
  author = "Lei Sha and Oana-Maria Camburu and Thomas Lukasiewicz",
  year = "2021",
  booktitle = "Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2--9‚ 2021",
  editor = "Kevin Leyton-Brown and Mausam",
  publisher = "AAAI Press",
  url = "https://ojs.aaai.org/index.php/AAAI/article/view/17623",
}

@inproceedings{sha2021multitype,
  title = "Multi-Type Disentanglement without Adversarial Training",
  author = "Lei Sha and Thomas Lukasiewicz",
  year = "2021",
  booktitle = "Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2--9‚ 2021",
  editor = "Kevin Leyton-Brown and Mausam",
  publisher = "AAAI Press",
  url = "https://ojs.aaai.org/index.php/AAAI/article/view/17146",
}