10 citations · 13 across the 3 of their papers we have counts for
3 papers
Forget About It: Mitigating Forgetting Without Replay or Auxiliary Objectives
Anat Kleiman, Gintare Karolina Dziugaite, Jonathan Frankle +2
Have we made mitigating catastrophic forgetting more complicated than it needs to be? Continual adaptation often degrades performance on earlier tasks, motivating rehearsal buffers…
Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra +5
Generative models are trained with the simple objective of imitating the conditional probability distribution induced by the data they are trained on. Therefore, when trained on da…
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
Chi Zhang, Ryan Marcus, Anat Kleiman +1
In this extended abstract, we propose a new technique for query scheduling with the explicit goal of reducing disk reads and thus implicitly increasing query performance. We introd…