Sungrae Hong
According to our database1,
Sungrae Hong authored at least 10 papers
between 2025 and 2026.
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Bibliography
2026
Every Preference Has Its Strength: Injecting Ordinal Semantics into LLM-Based Recommenders.
CoRR, May, 2026
Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning.
CoRR, March, 2026
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning.
CoRR, November, 2025
CoRR, July, 2025
CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images.
CoRR, July, 2025
Uncertainty-based Data-wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025