2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2026
FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
Yingjie Gu, Wenjian Xiong, Liqiang Wang +7
For LLM agents, memory management critically impacts efficiency, quality, and security. While much research focuses on retention, selective forgetting--inspired by human cognitive…
cs.DC2024
Optimizing Large Model Training through Overlapped Activation Recomputation
Ping Chen, Wenjie Zhang, Shuibing He +10
Large model training often uses recomputation to alleviate memory pressure and pipelines to exploit the parallelism of data, tensors, and devices. However, existing recomputation a…
cs.LG2024★ 2 cited
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
Pengxiang Zhao, Ping Li, Yingjie Gu +4
As deep learning models exponentially increase in size, optimizers such as Adam encounter significant memory consumption challenges due to the storage of first and second moment da…