31 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Semi-adaptive Synergetic Two-way Pseudoinverse Learning System
Binghong Liu, Ziqi Zhao, Shupan Li +1
Deep learning has become a crucial technology for making breakthroughs in many fields. Nevertheless, it still faces two important challenges in theoretical and applied aspects. The…
cs.DB2023
The Case of Transparent Cache Invalidation in Web Applications
Yunhong Ji, Xuan Zhou, Yongluan Zhou +1
Application-level caches are widely adopted by web applications to minimize the response time of user requests as well as to reduce the burden on the system backend, such as the da…
cs.LG2019★ 31 cited
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk +2
We present a modern scalable reinforcement learning agent called SEED (Scalable, Efficient Deep-RL). By effectively utilizing modern accelerators, we show that it is not only possi…