Sungnyun Kim

According to our database, Sungnyun Kim authored at least 27 papers between 2020 and 2026.

Collaborative distances:

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

2026

DiffBlender: Composable and versatile multimodal text-to-image diffusion models.

Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn

Expert Syst. Appl., 2026

2025

Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses.

Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun

CoRR, October, 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 C. Courville, Se-Young Yun

CoRR, July, 2025

Flex-Judge: Think Once, Judge Anywhere.

Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun

CoRR, May, 2025

MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation.

Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim, Se-Young Yun

CoRR, March, 2025

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs.

Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun

CoRR, March, 2025

MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition.

Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun

CoRR, February, 2025

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.

Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun

Trans. Mach. Learn. Res., 2025

Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation.

Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning.

Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun

CoRR, 2024

Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition.

Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

DistiLLM: Towards Streamlined Distillation for Large Language Models.

Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models.

Kangwook Jang, Sungnyun Kim, Hoirin Kim

Proceedings of the IEEE International Conference on Acoustics, 2024

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.

Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models.

Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn

CoRR, 2023

Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation.

Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification.

Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning.

Sungnyun Kim, Sangmin Bae, Se-Young Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Revisiting the Updates of a Pre-trained Model for Few-shot Learning.

Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

CoRR, 2022

Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch.

Sungnyun Kim, Se-Young Yun

IEEE Access, 2022

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real-time and Explainable Detection of Epidemics with Global News Data.

Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Self-Contrastive Learning.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

CoRR, 2021

2020

MixCo: Mix-up Contrastive Learning for Visual Representation.

Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun

CoRR, 2020