2025 "transfer learning" Papers
11 papers found
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
NeurIPS 2025posterarXiv:2505.16130
2
citations
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han et al.
ICLR 2025posterarXiv:2405.14660
8
citations
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
ICLR 2025posterarXiv:2410.04814
16
citations
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tang et al.
CVPR 2025posterarXiv:2505.12685
1
citations
Meta-learning how to Share Credit among Macro-Actions
Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
NeurIPS 2025oralarXiv:2506.13690
On Transferring Transferability: Towards a Theory for Size Generalization
Eitan Levin, Yuxin Ma, Mateo Diaz et al.
NeurIPS 2025spotlightarXiv:2505.23599
2
citations
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
Hongwei Wen, Annika Betken, Hanyuan Hang
ICLR 2025poster
1
citations
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
NeurIPS 2025posterarXiv:2510.14810
Reward-Aware Proto-Representations in Reinforcement Learning
Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
NeurIPS 2025oralarXiv:2505.16217
1
citations
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
NeurIPS 2025spotlightarXiv:2510.15337
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
NeurIPS 2025oral