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cs.LG2025
Towards Understanding Feature Learning in Parameter Transfer
Hua Yuan, Xuran Meng, Qiufeng Wang +6
Parameter transfer is a central paradigm in transfer learning, enabling knowledge reuse across tasks and domains by sharing model parameters between upstream and downstream models.…
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…