Bae, Sangmin

14 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

NeurIPS 2025 Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron Courville, Se-Young Yun

ICML 2025 MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun

ICLR 2025 Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun

ICLR 2025 Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-Wise LoRA Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster

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

NeurIPS 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun

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

NeurIPSW 2023 Adversarial Fine-Tuning Using Generated Respiratory Sound to Address Class Imbalance June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung

CVPR 2023 Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim, Sangmin Bae, Se-Young Yun

NeurIPSW 2023 Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seoung Hyun Koh, Se-Young Yun

CVPR 2023 Re-Thinking Federated Active Learning Based on Inter-Class Diversity SangMook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun

AAAI 2023 Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-Network Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

NeurIPS 2022 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun