3 citations · 4 across the 6 of their papers we have counts for
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cs.AI2024
Federating to Grow Transformers with Constrained Resources without Model Sharing
Shikun Shen, Yifei Zou, Yuan Yuan +4
The high resource consumption of large-scale models discourages resource-constrained users from developing their customized transformers. To this end, this paper considers a federa…
cs.AI2024★ 1 cited
Efficient Strategy Learning by Decoupling Searching and Pathfinding for Object Navigation
Yanwei Zheng, Shaopu Feng, Bowen Huang +3
Inspired by human-like behaviors for navigation: first searching to explore unknown areas before discovering the target, and then the pathfinding of moving towards the discovered t…