226 citations · 603 across the 11 of their papers we have counts for
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cs.LG2021★ 2 cited
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Youngjune Lee, Oh Joon Kwon, Haeju Lee +3
Data scarcity and noise are important issues in industrial applications of machine learning. However, it is often challenging to devise a scalable and generalized approach to addre…
cs.IR2021
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
Youngjune Lee, Kee-Eung Kim
Knowledge Distillation (KD), which transfers the knowledge of a well-trained large model (teacher) to a small model (student), has become an important area of research for practica…