Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach

Dong-Jin Kim 0003, JinSoo Choi, Tae Hyun Oh, In-So Kweon. Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 2012-2023, Association for Computational Linguistics, 2019. [doi]

@inproceedings{KimCOK19,
  title = {Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach},
  author = {Dong-Jin Kim 0003 and JinSoo Choi and Tae Hyun Oh and In-So Kweon},
  year = {2019},
  doi = {10.18653/v1/D19-1208},
  url = {https://doi.org/10.18653/v1/D19-1208},
  researchr = {https://researchr.org/publication/KimCOK19},
  cites = {0},
  citedby = {0},
  pages = {2012-2023},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019},
  editor = {Kentaro Inui and Jing Jiang and Vincent Ng and Xiaojun Wan 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-90-1},
}