A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions

Cite

Text

Hebbalaguppe et al. "A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26409-2_32

Markdown

[Hebbalaguppe et al. "A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/hebbalaguppe2022ecmlpkdd-novel/) doi:10.1007/978-3-031-26409-2_32

BibTeX

@inproceedings{hebbalaguppe2022ecmlpkdd-novel,
  title     = {{A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded Corruptions}},
  author    = {Hebbalaguppe, Ramya and Ghosal, Soumya Suvra and Prakash, Jatin and Khadilkar, Harshad and Arora, Chetan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {529-545},
  doi       = {10.1007/978-3-031-26409-2_32},
  url       = {https://mlanthology.org/ecmlpkdd/2022/hebbalaguppe2022ecmlpkdd-novel/}
}