21 citations · 103 across the 21 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 2 cited
Boosting Classifiers with Noisy Inference
Yongjune Kim, Yuval Cassuto, Lav R. Varshney
We present a principled framework to address resource allocation for realizing boosting algorithms on substrates with communication or computation noise. Boosting classifiers (e.g.…
cs.AR2019★ 4 cited
On the Optimal Refresh Power Allocation for Energy-Efficient Memories
Yongjune Kim, Won Ho Choi, Cyril Guyot +1
Refresh is an important operation to prevent loss of data in dynamic random-access memory (DRAM). However, frequent refresh operations incur considerable power consumption and degr…