POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples

Duong H. Le 0001, Khoi Duc Nguyen, Khoi Nguyen, Quoc Huy Tran, Rang Nguyen, Binh-Son Hua. POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 23942-23955, 2021. [doi]

@inproceedings{LeNNTNH21,
  title = {POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples},
  author = {Duong H. Le 0001 and Khoi Duc Nguyen and Khoi Nguyen and Quoc Huy Tran and Rang Nguyen and Binh-Son Hua},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/c91591a8d461c2869b9f535ded3e213e-Abstract.html},
  researchr = {https://researchr.org/publication/LeNNTNH21},
  cites = {0},
  citedby = {0},
  pages = {23942-23955},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}