Jinseok Seol

According to our database, Jinseok Seol authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Task-aware Block Pruning with Output Distribution Signals for Large Language Models.

Song-ha Jo, Youngrok Ko, Sang-goo Lee, Jinseok Seol

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation.

Jinseok Seol, Youngrok Ko, Sang-Goo Lee

IEEE Access, 2025

Context-Aware Negative Sampling for Sequential Recommendation.

Jinseok Seol, Jaesik Choi

IEEE Access, 2025

On the Relationship Between Populated Regions and Adversarial Robustness in Deep Neural Networks.

Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, Jaesik Choi

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Contrastive learning for unsupervised image-to-image translation.

Hanbit Lee, Jinseok Seol, Sang-goo Lee, Jaehui Park, Junho Shim

Appl. Soft Comput., January, 2024

Proxy-based Item Representation for Attribute and Context-aware Recommendation.

Jinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction.

Hyunsoo Na, Minseok Gang, Youngrok Ko, Jinseok Seol, Sang-goo Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

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

CoRR, 2022

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

Jinseok Jamie Seol, Youngrok Ko, Sang-goo Lee

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation.

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

CoRR, 2021

Contrastive Learning for Unsupervised Image-to-Image Translation.

Hanbit Lee, Jinseok Seol, Sang-goo Lee

CoRR, 2021

Masked Contrastive Learning for Anomaly Detection.

Hyunsoo Cho, Jinseok Seol, Sang-goo Lee

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

Leveraging Class Hierarchy in Fashion Classification.

Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017

Style2Vec: Representation Learning for Fashion Items from Style Sets.

Hanbit Lee, Jinseok Seol, Sang-goo Lee

CoRR, 2017

A Syllable-based Technique for Word Embeddings of Korean Words.

Sanghyuk Choi, Taeuk Kim, Jinseok Seol, Sang-goo Lee

Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017