2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Wonju Lee, Seok-Yong Byun, Jooeun Kim +2
While many real-world data streams imply that they change frequently in a nonstationary way, most of deep learning methods optimize neural networks on training data, and this leads…
cs.NE2018
Quantization for Rapid Deployment of Deep Neural Networks
Jun Haeng Lee, Sangwon Ha, Saerom Choi +2
This paper aims at rapid deployment of the state-of-the-art deep neural networks (DNNs) to energy efficient accelerators without time-consuming fine tuning or the availability of t…