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Sungmin Cha

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 10:11 PM AMS

8

papers

440

total citations

papers (8)

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization

NEURIPS 2020arXiv

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

NEURIPS 2021arXiv

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

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

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation

NEURIPS 2025arXiv