no code implementations • Findings (NAACL) 2022 • Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim
The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. visual appearances of objects and user utterances.
Ranked #2 on Response Generation on SIMMC2.0
1 code implementation • 5 Sep 2023 • Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang
Feature selection, which is a technique to select key features in recommender systems, has received increasing research attention.
no code implementations • 7 Dec 2021 • Youngjune Lee, Oh Joon Kwon, Haeju Lee, Joonyoung Kim, Kangwook Lee, Kee-Eung Kim
For this reason, data-centric approaches are crucial for the automation of machine learning operation pipeline.
1 code implementation • 8 Sep 2021 • 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 practical deployment of recommender systems.