Sungnyun Kim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Hand Eye Coordination

Diffusion Models

Visual Representation

Top Venues

Healthcare AI and COVID-19 Workshop

Publications

Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR (2024)
Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR (2024)
Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR (2024)
Kangwook Jang, Sungnyun Kim, Hoirin Kim
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. ICASSP (2024)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH (2023)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI (2023)
Sungnyun Kim, Sangmin Bae, Se-Young Yun
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR (2023)
Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. CoRR (2023)
Kangwook Jang, Sungnyun Kim, Hoirin Kim
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. CoRR (2023)
Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. INTERSPEECH (2023)
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models. CoRR (2023)
Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR (2023)
Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR (2022)
Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS (2022)
Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun
Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR (2022)
Sungnyun Kim, Se-Young Yun
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access 10 (2022)
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
Self-Contrastive Learning. CoRR (2021)
Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR (2020)