NeurIPS "knowledge transfer" Papers
10 papers found
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.
NeurIPS 2025posterarXiv:2510.19314
1
citations
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
Qiannan Zhang, Manqi Zhou, Zilong Bai et al.
NeurIPS 2025poster
EUGens: Efficient, Unified and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.
NeurIPS 2025poster
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Springenberg, Brian Ichter et al.
NeurIPS 2025spotlightarXiv:2505.23705
46
citations
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
Fei Wang, Li Shen, Liang Ding et al.
NeurIPS 2025posterarXiv:2510.15304
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
NeurIPS 2025poster
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler et al.
NeurIPS 2025posterarXiv:2505.23946
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
Jiaxin Huang, Runnan Chen, Ziwen Li et al.
NeurIPS 2025posterarXiv:2503.18135
8
citations
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
Jiabin Lin, Shana Moothedath
NeurIPS 2025poster
Zebra-Llama: Towards Extremely Efficient Hybrid Models
Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li et al.
NeurIPS 2025posterarXiv:2505.17272
6
citations