Sungnyun Kim

According to our database, Sungnyun Kim authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

DistiLLM: Towards Streamlined Distillation for Large Language Models.

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

CoRR, 2024

2023

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

Kangwook Jang, Sungnyun Kim, Hoirin Kim

CoRR, 2023

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

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

CoRR, 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

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

CoRR, 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