Sungmin Cha
16 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (6) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(12)
🏆
Grand Slam
🤝
Dynamic Duo
(12)
🚀
Conference Pioneer
💎
Century Club
(15)
Conferences
ICLR (3)
NIPS (3)
AAAI (2)
ACL (2)
CVPR (2)
ECCV (1)
ICCV (1)
ICML (1)
WACV (1)
Top co-authors
Research topics
Keywords
continual learning
(4)
neural network
(4)
image denoising
(3)
large language model
(3)
class-incremental learning
(2)
model editing
(2)
catastrophic forgetting
(2)
knowledge unlearning
(2)
adversarial robustness
(1)
semantic segmentation
(1)
image classification
(1)
machine unlearning
(1)
batch normalization
(1)
convolutional neural network
(1)
knowledge distillation
(1)
group sparsity
(1)
self-supervised learning
(1)
neural network optimization
(1)
parameter-efficient learning
(1)
variational inference
(1)
Papers
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
ACL 2026
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
ICLR 2025
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
ECCV 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
AAAI 2024
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
ICML 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
ACL 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
CVPR 2023
CPR: Classifier-Projection Regularization for Continual Learning
ICLR 2021
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
ICLR 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
CVPR 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
NIPS 2021
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
NIPS 2020
Uncertainty-based Continual Learning with Adaptive Regularization
NIPS 2019
Fully Convolutional Pixel Adaptive Image Denoiser
ICCV 2019
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
AAAI 2019