[R1] J.Seo, Y.-H. Park, S.W. Yoon and J.Moon, "Task-Adaptive Feature Transformer for Few-Shot Segmentation," on arXiv
[R2] D.-J.Han*, Y.-H. Park*, D.-Y.Kim, J.Seo and J.Moon, "Few-Round Learning for Federated Learning," submitted to International Conference on Learning Representations (ICLR) 2021
[R3] Y.-H. Park, J.Seo and J.Moon, "CAFENet: Class-Agnostic Few-Shot Edge Detection Network," submitted to International Conference on Learning Representations (ICLR) 2021
[R4] J. Seo*, S.W. Yoon* and J. Moon, "Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification," on arXiv
[C1] S.W. Yoon*, D.-Y. Kim*, J. Seo and J. Moon, "XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning," International Conference on Machine Learning (ICML) 2020.
[C2] S.W. Yoon, J. Seo and J. Moon, "TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning," International Conference on Machine Learning (ICML) 2019.
[C3] S.W. Yoon, J. Seo and J. Moon, "Meta-Learner with Linear Nulling," 2018 NeurIPS Workshop on Meta-Learning
[US1] S.W. Yoon, J. Seo and J. Moon, "System for combining neural network for effective machine learning with signal processing module and learning algorithm" (Pending, Application number US16431319)
[KR1] S.W. Yoon, J. Seo and J. Moon, "Data processing apparatus through neural network learning, data processing method through the neural network learning, and recording medium recording the method" (Pending, Application number KR 10-2019-0051364)