Sungmin Cha
17 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(12)
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Century Club Β· Bronze
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(5)
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Venues
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Machine Learning
(12)
Learning Types Β· Machine Learning
(11)
Deep Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Optimization & Theory
(3)
Processing
(3)
Natural Language Processing
(2)
Security & Privacy
(2)
Analysis
(2)
Architectures
(2)
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(2)
Keywords
neural network
(5)
continual learning
(5)
image denoising
(4)
catastrophic forgetting
(3)
large language model
(3)
class-incremental learning
(2)
knowledge unlearning
(2)
self-supervised learning
(2)
blind denoising
(2)
model editing
(2)
semantic segmentation
(1)
batch normalization
(1)
machine unlearning
(1)
representation learning
(1)
knowledge distillation
(1)
group sparsity
(1)
neural network optimization
(1)
variational inference
(1)
parameter-efficient learning
(1)
adversarial robustness
(1)
Papers
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
ACL 2026
Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries
Interspeech 2025
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
ICLR 2025
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
AAAI 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
ICML 2024
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
ECCV 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
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
CVPR 2021
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
ICLR 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
NeurIPS 2021
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
NeurIPS 2020
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
AAAI 2019
Fully Convolutional Pixel Adaptive Image Denoiser
ICCV 2019
Uncertainty-based Continual Learning with Adaptive Regularization
NeurIPS 2019