Sungmin Cha - RankMe

56 papers A* 12A 2Misc 1Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are we truly forgetting? A critical re-examination of machine unlearning evaluation protocols. Eng. Appl. Artif. Intell. Yongwoo Kim, Sungmin Cha, Donghyun Kim
2026	J	`jnl`	Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams. CoRR Jiyeon Kim, Hyunji Lee, Dylan Zhou, Sue Hyun Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Sungmin Cha, Minjoon Seo
2026	J	`jnl`	Consistency-Preserving Concept Erasure via Unsafe-Safe Pairing and Directional Fisher-weighted Adaptation. CoRR Yongwoo Kim, Sungmin Cha, Hyunsoo Kim, Jaewon Lee, Donghyun Kim
2026	J	`jnl`	Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models. CoRR Yejin Kim, Dongjun Hwang, Sungmin Cha, Junsuk Choe
2025	J	`jnl`	Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols. CoRR Yongwoo Kim, Sungmin Cha, Donghyun Kim
2025	J	`jnl`	Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection. CoRR Geonu Lee, Yujeong Oh, Geonhui Jang, Soyoung Lee, Jeonghyo Song, Sungmin Cha, Young Joon Yoo
2025	J	`jnl`	Cost-Efficient Continual Learning with Sufficient Exemplar Memory. CoRR Dongkyu Cho, Taesup Moon, Rumi Chunara, Kyunghyun Cho, Sungmin Cha
2025	A	`conf`	Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries. INTERSPEECH Minyoung Kim, Sehwan Park, Sungmin Cha, Paul Hongsuck Seo
2025	J	`jnl`	Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries. CoRR Minyoung Kim, Sehwan Park, Sungmin Cha, Paul Hongsuck Seo
2025	J	`jnl`	Hyperparameters in Continual Learning: A Reality Check. Trans. Mach. Learn. Res. Sungmin Cha, Kyunghyun Cho
2025	J	`jnl`	Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check. CoRR Sungjun Cho, Dasol Hwang, Frederic Sala, Sangheum Hwang, Kyunghyun Cho, Sungmin Cha
2025	J	`jnl`	Toward a Holistic Approach to Continual Model Merging. CoRR Hoang Phan, Sungmin Cha, Tung Lam Tran, Qi Lei
2025	A*	`conf`	Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. ICLR Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2025	J	`jnl`	Why Alignment Must Precede Distillation: A Minimal Working Explanation. CoRR Sungmin Cha, Kyunghyun Cho
2025	J	`jnl`	Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation. CoRR Sungmin Cha, Kyunghyun Cho
2024	J	`jnl`	Hyperparameters in Continual Learning: a Reality Check. CoRR Sungmin Cha, Kyunghyun Cho
2024	J	`jnl`	Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models. CoRR Hyesong Choi, Daeun Kim, Sungmin Cha, Kwang Moo Yi, Dongbo Min
2024	A*	`conf`	Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2024	A	`conf`	NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. WACV Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon
2024	A*	`conf`	Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning. ICML Sungmin Cha, Kyunghyun Cho, Taesup Moon
2024	—	`conf`	Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. ECCV (78) Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
2024	J	`jnl`	Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. CoRR Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
2024	—	`conf`	Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective. CoLLAs Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2024	J	`jnl`	Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation. CoRR Jihwan Kwak, Sungmin Cha, Taesup Moon
2024	J	`jnl`	Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models. CoRR Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2024	—	`conf`	Towards realistic incremental scenario in class incremental semantic segmentation. CoLLAs Jihwan Kwak, Sungmin Cha, Taesup Moon
2023	—	`conf`	Knowledge Unlearning for Mitigating Privacy Risks in Language Models. ACL (1) Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2023	J	`jnl`	Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2023	J	`jnl`	Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
2023	A*	`conf`	Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. CVPR Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon
2023	J	`jnl`	Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised Representation Learning. CoRR Sungmin Cha, Taesup Moon
2022	J	`jnl`	Is Continual Learning Truly Learning Representations Continually? CoRR Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2022	J	`jnl`	Knowledge Unlearning for Mitigating Privacy Risks in Language Models. CoRR Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2022	J	`jnl`	Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning. CoRR Sungmin Cha, Soonwon Hong, Moontae Lee, Taesup Moon
2021	A*	`conf`	CPR: Classifier-Projection Regularization for Continual Learning. ICLR Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
2021	A*	`conf`	FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. CVPR Jaeseok Byun, Sungmin Cha, Taesup Moon
2021	J	`jnl`	FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. CoRR Jaeseok Byun, Sungmin Cha, Taesup Moon
2021	A*	`conf`	GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. ICLR Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon
2021	J	`jnl`	Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
2021	A*	`conf`	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
2021	J	`jnl`	SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
2021	J	`jnl`	Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. CoRR Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon
2021	J	`jnl`	Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
2020	J	`jnl`	Adaptive Group Sparse Regularization for Continual Learning. CoRR Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
2020	J	`jnl`	CPR: Classifier-Projection Regularization for Continual Learning. CoRR Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
2020	A*	`conf`	Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
2019	A*	`conf`	DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. AAAI Sunghwan Joo, Sungmin Cha, Taesup Moon
2019	J	`jnl`	DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. CoRR Sunghwan Joo, Sungmin Cha, Taesup Moon
2019	A*	`conf`	Fully Convolutional Pixel Adaptive Image Denoiser. ICCV Sungmin Cha, Taesup Moon
2019	J	`jnl`	GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images. CoRR Sungmin Cha, Taeeon Park, Taesup Moon
2019	A*	`conf`	Uncertainty-based Continual Learning with Adaptive Regularization. NeurIPS Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon
2019	J	`jnl`	Uncertainty-based Continual Learning with Adaptive Regularization. CoRR Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon
2018	J	`jnl`	Fully Convolutional Pixel Adaptive Image Denoiser. CoRR Sungmin Cha, Taesup Moon
2018	Misc	`conf`	Neural Adaptive Image Denoiser. ICASSP Sungmin Cha, Taesup Moon
2018	—	`conf`	UDLR Convolutional Network for Adaptive Image Denoiser. RiTA Sungmin Cha, Taesup Moon
2017	J	`jnl`	Neural Affine Grayscale Image Denoising. CoRR Sungmin Cha, Taesup Moon