Taehyeon Kim

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Taehyeon Kim, Jaehoon Oh, Nak Yil Kim et al. · 2021 · 235 citations · Full text

Artificial Intelligence, Sequential Distillation, Divergence Loss +15

Effect of Na from the leachate of spent Li-ion batteries on the properties of resynthesized Li-ion battery cathodes

Mincheol Beak, Sanghyuk Park, Sang Jun Kim et al. · Journal of Alloys and Compounds · 2021 · 47 citations

Materials Science, Chemical Engineering, Spent Li-ion Batteries +11

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks

Taehyeon Kim, Jieun Lee, Yoonsik Choe · IEEE Access · 2020 · 44 citations · Full text

Convolutional Neural Network, Ranking Algorithm, Engineering +16

FINE Samples for Learning with Noisy Labels

Taehyeon Kim, Jongwoo Ko, Sangwook Cho et al. · arXiv (Cornell University) · 2021 · 38 citations · Full text

Engineering, Machine Learning, Data Science +13

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Taehyeon Kim, Jaehoon Oh, Nakyil Kim et al. · arXiv (Cornell University) · 2021 · 13 citations · Full text