Sungnyun Kim
Orcid: 0000-0002-3251-1812
According to our database1,
Sungnyun Kim
authored at least 19 papers
between 2020 and 2024.
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Collaborative distances:
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Bibliography
2024
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning.
CoRR, 2024
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition.
CoRR, 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
CoRR, 2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation.
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.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch.
IEEE Access, 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
2020