共 50 条
- [23] Supervised Graph Contrastive Learning for Few-Shot Node Classification MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II, 2023, 13714 : 394 - 411
- [24] Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 945 - 954
- [27] SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer IEEE ACCESS, 2024, 12 : 86690 - 86703
- [28] Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022: THE 2022 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES, 2022, : 3558 - 3573
- [29] MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation 2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022), 2022, : 428 - 438
- [30] When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning 2021 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN (ICCAD), 2021,