NeurIPS Poster "few-shot learning" Papers
6 papers found
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
Yongxin He, Shan Zhang, Yixuan Cao et al.
NeurIPS 2025poster
1
citations
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding et al.
NeurIPS 2025posterarXiv:2506.12323
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu, Jie Yin
NeurIPS 2025posterarXiv:2510.23013
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
NeurIPS 2025posterarXiv:2510.10116
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Achleshwar Luthra, Tianbao Yang, Tomer Galanti
NeurIPS 2025posterarXiv:2506.04411
1
citations
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu et al.
NeurIPS 2025poster