Sungmin Cha

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Top Venues

Publications

Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. CoRR (2024)
Sungmin Cha, Kyunghyun Cho
Hyperparameters in Continual Learning: a Reality Check. CoRR (2024)
Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. WACV (2024)
Jihwan Kwak, Sungmin Cha, Taesup Moon
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation. CoRR (2024)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI (2024)
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
Knowledge Unlearning for Mitigating Privacy Risks in Language Models. ACL (1) (2023)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR (2023)
Sungmin Cha, Taesup Moon
Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised Representation Learning. CoRR (2023)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. CVPR (2023)
Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11 (2023)
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
Knowledge Unlearning for Mitigating Privacy Risks in Language Models. CoRR (2022)
Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
Is Continual Learning Truly Learning Representations Continually? CoRR (2022)
Sungmin Cha, Soonwon Hong, Moontae Lee, Taesup Moon
Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning. CoRR (2022)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. NeurIPS (2021)
Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. ICLR (2021)
Jaeseok Byun, Sungmin Cha, Taesup Moon
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. CVPR (2021)
Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. ICLR (2021)
Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, Taesup Moon
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. CoRR (2021)
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR (2021)
Jaeseok Byun, Sungmin Cha, Taesup Moon
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. CoRR (2021)
Sungmin Cha, Naeun Ko, Youngjoon Yoo, Taesup Moon
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. CoRR (2021)
Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR (2021)
Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS (2020)
Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon
Adaptive Group Sparse Regularization for Continual Learning. CoRR (2020)
Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. CoRR (2020)
Hongjoon Ahn, Donggyu Lee, Sungmin Cha, Taesup Moon
Uncertainty-based Continual Learning with Adaptive Regularization. CoRR (2019)
Sunghwan Joo, Sungmin Cha, Taesup Moon
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. AAAI (2019)
Sungmin Cha, Taesup Moon
Fully Convolutional Pixel Adaptive Image Denoiser. ICCV (2019)
Sungmin Cha, Taeeon Park, Taesup Moon
GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images. CoRR (2019)
Sunghwan Joo, Sungmin Cha, Taesup Moon
DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. CoRR (2019)
Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon
Uncertainty-based Continual Learning with Adaptive Regularization. NeurIPS (2019)
Sungmin Cha, Taesup Moon
Fully Convolutional Pixel Adaptive Image Denoiser. CoRR (2018)
Sungmin Cha, Taesup Moon
UDLR Convolutional Network for Adaptive Image Denoiser. RiTA (2018)
Sungmin Cha, Taesup Moon
Neural Adaptive Image Denoiser. ICASSP (2018)
Sungmin Cha, Taesup Moon
Neural Affine Grayscale Image Denoising. CoRR (2017)