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cs.LG2025
Mimic In-Context Learning for Multimodal Tasks
Yuchu Jiang, Jiale Fu, Chenduo Hao +4
Recently, In-context Learning (ICL) has become a significant inference paradigm in Large Multimodal Models (LMMs), utilizing a few in-context demonstrations (ICDs) to prompt LMMs f…
cs.LG2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
Shi-Yu Xia, Wenxuan Zhu, Xu Yang +1
In practice, we usually need to build variable-sized models adapting for diverse resource constraints in different application scenarios, where weight initialization is an importan…
cs.LG2023
Building Variable-sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang +3
Recently, Stitchable Neural Networks (SN-Net) is proposed to stitch some pre-trained networks for quickly building numerous networks with different complexity and performance trade…