Confidence-Aware Learning for Deep Neural Networks. - Jooyoung Moon; Jihyo Kim; Younghak Shin; Sangheum Hwang (ICML, 2020)

Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions. - Jihyo Kim; Jeonghyeon Kim; Sangheum Hwang (CoRR, 2023)

Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation. - Suho Lee; Seungwon Seo; Jihyo Kim; Yejin Lee 001; Sangheum Hwang (CoRR, 2023)

A unified benchmark for the unknown detection capability of deep neural networks. - Jihyo Kim; Jiin Koo; Sangheum Hwang (Expert Syst. Appl., 2023)

Comparison of Out-of-Distribution Detection Performance of CLIP-based Fine-Tuning Methods. - Jeonghyeon Kim; Jihyo Kim; Sangheum Hwang (ICEIC, 2024)

Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation. - Jihyo Kim; Seulbi Lee; Sangheum Hwang (ICLR, 2025)

Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations. - Jihyo Kim; Sungchul Kim; Seungwon Seo; Bumsoo Kim; Daejeong Mun; Hoonjae Lee; Sangheum Hwang (Appl. Artif. Intell., 2025)