Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora

Anh T. V. Dau, Nghi D. Q. Bui, Thang Nguyen-Duc, Hoang Thanh-Tung. Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora. In 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022. ACM, 2022. [doi]

@inproceedings{DauBNT22,
  title = {Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora},
  author = {Anh T. V. Dau and Nghi D. Q. Bui and Thang Nguyen-Duc and Hoang Thanh-Tung},
  year = {2022},
  doi = {10.1145/3551349.3561168},
  url = {https://doi.org/10.1145/3551349.3561168},
  researchr = {https://researchr.org/publication/DauBNT22},
  cites = {0},
  citedby = {0},
  booktitle = {37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9475-8},
}