Kim, Sihyeon

12 publications

ICLR 2025 Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee

TMLR 2025 VSCoDe: Visual-Augmentation Selection for Contrastive Decoding Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun

NeurIPS 2024 Constant Acceleration Flow Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim

ICLR 2024 DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim

IJCAI 2024 Fine-Tuning Pre-Trained Models for Robustness Under Noisy Labels Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko, Se-Young Yun

ICLRW 2024 Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi

ICMLW 2024 VACoDe: Visual Augmented Contrastive Decoding Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun

NeurIPS 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J Kim

CVPR 2023 Self-Positioning Point-Based Transformer for Point Cloud Understanding Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim

ICCV 2023 Semantic-Aware Implicit Template Learning via Part Deformation Consistency Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim

NeurIPS 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeonjin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim

ICCV 2021 Point Cloud Augmentation with Weighted Local Transformations Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim