Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise

Cite

Text

Song et al. "Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I19.30157

Markdown

[Song et al. "Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/song2024aaai-robustness/) doi:10.1609/AAAI.V38I19.30157

BibTeX

@inproceedings{song2024aaai-robustness,
  title     = {{Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy Against Imbalance and Noise}},
  author    = {Song, Hwanjun and Kim, Minseok and Lee, Jae-Gil},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {21592-21601},
  doi       = {10.1609/AAAI.V38I19.30157},
  url       = {https://mlanthology.org/aaai/2024/song2024aaai-robustness/}
}