Dahuin Jung

1. Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
   2024/03/12 by Jonghyun Lee, Dahuin Jung, Lee, Jonghyun +11 · 24 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications
2. Probabilistic Concept Bottleneck Models
   2023/06/02 by Eunji Kim, Dahuin Jung, Kim, Eunji +7 · 12 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
3. Security and Privacy Issues in Deep Learning
   2018/07/31 by Ho Bae, Jaehee Jang, Bae, Ho +11 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Cryptography and Data Security
4. Confidence Score for Source-Free Unsupervised Domain Adaptation
   2022/06/14 by Jonghyun Lee, Dahuin Jung, Lee, Jonghyun +5 · 5 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
   2023/10/16 by Hyemi Jang, Junsung Park, Jang, Hyemi +9 · 3 citations
   Computer Science · Engineering · #Image and Signal Denoising Methods #Image Processing Techniques and Applications #Advanced Image Fusion Techniques
6. New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
   2023/02/17 by Dahuin Jung, Jung, Dahuin, Dongjin Lee +9 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)