On focal loss for class-posterior probability estimation: A theoretical perspective N Charoenphakdee, J Vongkulbhisal, N Chairatanakul, M Sugiyama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding N Chairatanakul, X Liu, T Murata Information Sciences 570, 769-794, 2021 | 18 | 2021 |
Recurrent translation-based network for Top-N sparse sequential recommendation N Chairatanakul, T Murata, X Liu IEEE Access 7, 131567-131576, 2019 | 9 | 2019 |
Heterogeneous graph embedding with single-level aggregation and infomax encoding N Chairatanakul, X Liu, NT Hoang, T Murata Machine Learning 112 (11), 4227-4256, 2023 | 4 | 2023 |
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph N Chairatanakul, N Sriwatanasakdi, N Charoenphakdee, X Liu, T Murata Findings of the Association for Computational Linguistics: EMNLP 2021, 1504–1517, 2021 | 3 | 2021 |
Leaping Through Time with Gradient-based Adaptation for Recommendation N Chairatanakul, H NT, X Liu, T Murata 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2021 | | 2021 |