Get started
Author

Sungmin Cha

Toward a unified framework for interpreting machine-learning models in neuroimaging
2020 · Lada Kohoutová, Juyeon Heo, et al. · Nature Protocols · 178
Uncertainty-based Continual Learning with Adaptive Regularization
2019 · Ahn, Hongjoon, Cha, Sungmin, et al. · arXiv (Cornell University) · 147
PDF
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
2023 · Joel Jang, Dongkeun Yoon, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 84
PDF
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
2020 · Jung, Sangwon, Ahn, Hongjoon, et al. · arXiv (Cornell University) · 78
PDF
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
2021 · Cha, Sungmin, Kim, Beomyoung, et al. · arXiv (Cornell University) · 65
PDF
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
2021 · Jaeseok Byun, Sungmin Cha, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 62
PDF
Fully Convolutional Pixel Adaptive Image Denoiser
2019 · Sungmin Cha, Taesup Moon · IEEE/CVF International Conference on Computer Vision (ICCV) · 60
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
2024 · Sungmin Cha, Sungjun Cho, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 46
PDF
CPR: Classifier-Projection Regularization for Continual Learning
2020 · Cha, Sungmin, Hsu, Hsiang, et al. · arXiv (Cornell University) · 43
PDF
Neural Adaptive Image Denoiser
2018 · Sungmin Cha, Taesup Moon · IEEE International Conference on Acoustics Speech and Signal Processing · 25
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
2023 · Sungmin Cha, Sungjun Cho, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 21
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
2019 · Cha, Sungmin, Park, Taeeon, et al. · arXiv (Cornell University) · 15
PDF
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
2024 · Hyesong Choi, Hyejin Park, et al. · Lecture notes in computer science · 9
PDF
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
2019 · Joo, Sunghwan, Cha, Sungmin, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 6
PDF
Are we truly forgetting? A critical re-examination of machine unlearning evaluation protocols
2026 · Yongwoo Kim, Yongwoo Kim, et al. · Engineering Applications of Artificial Intelligence · 4
PDF
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
2022 · Jang, Joel, Yoon, Dongkeun, et al. · arXiv (Cornell University) · 4
PDF
Fully Convolutional Pixel Adaptive Image Denoiser
2018 · Cha, Sungmin, Moon, Taesup · arXiv (Cornell University) · 4
PDF
Adaptive Group Sparse Regularization for Continual Learning.
2020 · Sangwon Jung, Hongjoon Ahn, et al. · 3
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
2024 · Sungmin Cha, Naeun Ko, et al. · IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2
Observations on K-Image Expansion of Image-Mixing Augmentation
2023 · Joonhyun Jeong, Sungmin Cha, et al. · IEEE Access · 2
PDF
Continual-MEGA: A large-scale benchmark for generalizable continual anomaly detection
2026 · Geonu Lee, Yujeong Oh, et al. · Neurocomputing · 1
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
2024 · Cha, Sungmin, Cho, Sungjun, et al. · arXiv (Cornell University) · 1
PDF
Hyperparameters in Continual Learning: A Reality Check
2024 · Cha, Sungmin, Cho, Kyunghyun · arXiv (Cornell University) · 1
PDF
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack.
2021 · Sungmin Cha, Naeun Ko, et al. · arXiv (Cornell University) · 1
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
2019 · Sunghwan Joo, Sungmin Cha, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
Works count: 52
Citation count: 865
H-index: 12
I10-index: 12
Year
Topic
Type