Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off

Cite

Text

Liu et al. "Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I8.28730

Markdown

[Liu et al. "Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/liu2024aaai-perturbation/) doi:10.1609/AAAI.V38I8.28730

BibTeX

@inproceedings{liu2024aaai-perturbation,
  title     = {{Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off}},
  author    = {Liu, Yu-An and Zhang, Ruqing and Zhang, Mingkun and Chen, Wei and de Rijke, Maarten and Guo, Jiafeng and Cheng, Xueqi},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {8832-8840},
  doi       = {10.1609/AAAI.V38I8.28730},
  url       = {https://mlanthology.org/aaai/2024/liu2024aaai-perturbation/}
}