3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 3 cited
A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models
Jeong-Hoe Ku, JiHun Oh, YoungYoon Lee +2
This paper aims to provide a selective survey about knowledge distillation(KD) framework for researchers and practitioners to take advantage of it for developing new optimized mode…
cs.LG2020★ 2 cited
Weight Equalizing Shift Scaler-Coupled Post-training Quantization
Jihun Oh, SangJeong Lee, Meejeong Park +2
Post-training, layer-wise quantization is preferable because it is free from retraining and is hardware-friendly. Nevertheless, accuracy degradation has occurred when a neural netw…
cs.LG2020
Iterative Compression of End-to-End ASR Model using AutoML
Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo +9
Increasing demand for on-device Automatic Speech Recognition (ASR) systems has resulted in renewed interests in developing automatic model compression techniques. Past research hav…