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cs.LG2025
Probing the Limits of Compressive Memory: A Study of Infini-Attention in Small-Scale Pretraining
Ruizhe Huang, Kexuan Zhang, Yihao Fang +1
This study investigates small-scale pretraining for Small Language Models (SLMs) to enable efficient use of limited data and compute, improve accessibility in low-resource settings…
cs.LG2020★ 8 cited
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng
The success of deep neural networks (DNN) in machine perception applications such as image classification and speech recognition comes at the cost of high computation and storage c…