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Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator



Hyuhng Joon Kim , Hyunsoo Cho , Junyeob Kim , Taeuk Kim , Kang Min Yoo , Sang-goo Lee

* NAACL 2022 Workshop on Large-scale Pre-trained Language Models 

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Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations



Junyeob Kim , Hyuhng Joon Kim , Hyunsoo Cho , Hwiyeol Jo , Sang-Woo Lee , Sang-goo Lee , Kang Min Yoo , Taeuk Kim


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Exploiting Session Information in BERT-based Session-aware Sequential Recommendation



Jinseok Seol , Youngrok Ko , Sang-goo Lee

* 6 pages, accepted in The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022, short paper 

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Technologies for AI-Driven Fashion Social Networking Service with E-Commerce



Jinseok Seol , Seongjae Kim , Sungchan Park , Holim Lim , Hyunsoo Na , Eunyoung Park , Dohee Jung , Soyoung Park , Kangwoo Lee , Sang-goo Lee

* 16 pages, accepted in International Semantic Intelligence Conference (ISIC) 2022, The Applications and Deployment Track 

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False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation



Seongjae Kim , Jinseok Seol , Holim Lim , Sang-goo Lee


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Self-Guided Contrastive Learning for BERT Sentence Representations



Taeuk Kim , Kang Min Yoo , Sang-goo Lee

* ACL 2021 

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Masked Contrastive Learning for Anomaly Detection



Hyunsoo Cho , Jinseok Seol , Sang-goo Lee

* Accepted to IJCAI 2021 

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Contrastive Learning for Unsupervised Image-to-Image Translation



Hanbit Lee , Jinseok Seol , Sang-goo Lee


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Semantics-Preserving Adversarial Training



Wonseok Lee , Hanbit Lee , Sang-goo Lee

* Preprint. Under Review 

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