Sungmin Cha | DeepAI

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Featured Co-authors

Honglak Lee
129 publications
Sungroh Yoon
92 publications
Minjoon Seo
45 publications
Sangdoo Yun
44 publications
Flavio P. Calmon
37 publications
Taesup Moon
31 publications
YoungJoon Yoo
25 publications
Moontae Lee
25 publications
Hyunwoo Kim
18 publications
Lajanugen Logeswaran
16 publications
Sohee Yang
14 publications

∙ 06/08/2023

Sy-CON: Symmetric Contrastive Loss for Continual Self-Supervised Representation Learning

We introduce a novel and general loss function, called Symmetric Contras...

0 Sungmin Cha, et al. ∙

∙ 01/27/2023

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

Since the recent advent of regulations for data protection (e.g., the Ge...

0 Sungmin Cha, et al. ∙

∙ 10/04/2022

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Pretrained Language Models (LMs) memorize a vast amount of knowledge dur...

0 Joel Jang, et al. ∙

∙ 06/16/2022

Is Continual Learning Truly Learning Representations Continually?

Continual learning (CL) aims to learn from sequentially arriving tasks w...

62 Sungmin Cha, et al. ∙

∙ 01/29/2022

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning

Batch Normalization (BN) is an essential layer for training neural netwo...

0 Sungmin Cha, et al. ∙

∙ 11/24/2021

Supervised Neural Discrete Universal Denoiser for Adaptive Denoising

We improve the recently developed Neural DUDE, a neural network-based ad...

0 Sungmin Cha, et al. ∙

∙ 10/08/2021

Observations on K-image Expansion of Image-Mixing Augmentation for Classification

Image-mixing augmentations (e.g., Mixup or CutMix), which typically mix ...

0 Joonhyun Jeong, et al. ∙

∙ 06/22/2021

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack

We propose a novel and effective input transformation based adversarial ...

0 Sungmin Cha, et al. ∙

∙ 05/23/2021

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

We consider the challenging blind denoising problem for Poisson-Gaussian...

7 Jaeseok Byun, et al. ∙

∙ 06/12/2020

CPR: Classifier-Projection Regularization for Continual Learning

We propose a general, yet simple patch that can be applied to existing r...

0 Sungmin Cha, et al. ∙

∙ 03/30/2020

Adaptive Group Sparse Regularization for Continual Learning

We propose a novel regularization-based continual learning method, dubbe...

0 Sangwon Jung, et al. ∙

∙ 05/28/2019

Uncertainty-based Continual Learning with Adaptive Regularization

We introduce a new regularization-based continual learning algorithm, du...

0 Hongjoon Ahn, et al. ∙

∙ 05/25/2019

GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images

We tackle a challenging blind image denoising problem, in which only sin...

0 Sungmin Cha, et al. ∙

∙ 02/07/2019

DoPAMINE: Double-sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling

We propose DoPAMINE, a new neural network based multiplicative noise des...

0 Sunghwan Joo, et al. ∙

∙ 07/19/2018

Fully Convolutional Pixel Adaptive Image Denoiser

We propose a new denoising algorithm, dubbed as Fully Convolutional Adap...

8 Sungmin Cha, et al. ∙

∙ 09/17/2017

Neural Affine Grayscale Image Denoising

We propose a new grayscale image denoiser, dubbed as Neural Affine Image...

0 Sungmin Cha, et al. ∙

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