2 papers
cs.LG2021
Accelerating Gradient-based Meta Learner
Varad Pimpalkhute, Amey Pandit, Mayank Mishra +1
Meta Learning has been in focus in recent years due to the meta-learner model's ability to adapt well and generalize to new tasks, thus, reducing both the time and data requirement…
cs.PF2021
Experience with PCIe streaming on FPGA for high throughput ML inferencing
Piyush Manavar, Manoj Nambiar, Nupur Sumeet +3
Achieving maximum possible rate of inferencing with minimum hardware resources plays a major role in reducing enterprise operational costs. In this paper we explore use of PCIe str…