Dahuin Jung

Orcid: 0000-0002-1344-1054

According to our database¹, Dahuin Jung authored at least 23 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Real-world prediction of preclinical Alzheimer's disease with a deep generative model.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, October, 2023

PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection.

[BibT_eX]

[DOI]

CoRR, 2023

Sample-efficient Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Dahuin Jung

Hyungyu Lee

Sungroh Yoon

CoRR, 2023

On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Visual Prompt Tuning for Self-supervised Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Probabilistic Concept Bottleneck Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Instance-level Prompts for Rehearsal-free Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

Confidence Score for Source-Free Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Stein Latent Optimization for Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Stein Latent Optimization for GANs.

[BibT_eX]

[DOI]

CoRR, 2021

2020

AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.

[BibT_eX]

[DOI]

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

iCaps: An Interpretable Classifier via Disentangled Capsule Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

AnomiGAN: Generative adversarial networks for anonymizing private medical data.

[BibT_eX]

[DOI]

Ho Bae

Dahuin Jung

Sungroh Yoon

CoRR, 2019

HexaGAN: Generative Adversarial Nets for Real World Classification.

[BibT_eX]

[DOI]

Uiwon Hwang

Dahuin Jung

Sungroh Yoon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Security and Privacy Issues in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Dahuin Jung

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...