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20072021
most citedAutoencoder-Based Incremental Class Learning without Retraining on Old Data

8 citations · 9 across the 4 of their papers we have counts for

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cs.LG2021★ 1 cited

GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent

Heesu Kim, Hanmin Park, Taehyun Kim +6

In this paper, we present GradPIM, a processing-in-memory architecture which accelerates parameter updates of deep neural networks training. As one of processing-in-memory techniqu…