Sungmin Cha

9

Papers

15

Total Citations

Papers (9)

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning

Fully Convolutional Pixel Adaptive Image Denoiser

Uncertainty-based Continual Learning with Adaptive Regularization

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning