53 citations · 55 across the 5 of their papers we have counts for
5 papers
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
Jeong Choi, Seongwon Jang, Hyunsouk Cho +1
The common research goal of self-supervised learning is to extract a general representation which an arbitrary downstream task would benefit from. In this work, we investigate musi…
Self-Supervised Multimodal Opinion Summarization
Jinbae Im, Moonki Kim, Hoyeop Lee +2
Recently, opinion summarization, which is the generation of a summary from multiple reviews, has been conducted in a self-supervised manner by considering a sampled review as a pse…
CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation
Seongwon Jang, Hoyeop Lee, Hyunsouk Cho +1
Sequential recommendation techniques provide users with product recommendations fitting their current preferences by handling dynamic user preferences over time. Previous studies h…
Freudian and Newtonian Recurrent Cell for Sequential Recommendation
Hoyeop Lee, Jinbae Im, Chang Ouk Kim +1
A sequential recommender system aims to recommend attractive items to users based on behaviour patterns. The predominant sequential recommendation models are based on natural langu…
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee, Jinbae Im, Seongwon Jang +2
This paper proposes a recommender system to alleviate the cold-start problem that can estimate user preferences based on only a small number of items. To identify a user's preferen…