20 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 20 cited
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Zhuohan Li, Lianmin Zheng, Yinmin Zhong +8
Model parallelism is conventionally viewed as a method to scale a single large deep learning model beyond the memory limits of a single device. In this paper, we demonstrate that m…
cs.LG2021★ 6 cited
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
Alex Tamkin, Vincent Liu, Rongfei Lu +3
Self-supervised learning algorithms, including BERT and SimCLR, have enabled significant strides in fields like natural language processing, computer vision, and speech processing.…