Jang, JoonHo

1. From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
   2022/05/02 by HeeSun Bae, Seungjae Shin, Bae, HeeSun +9 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistical and Computational Modeling
2. Training Unbiased Diffusion Models From Biased Dataset
   2024/03/02 by Yeongmin Kim, Byeonghu Na, Kim, Yeongmin +11 · 3 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
3. Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
   2022/06/15 by JoonHo Jang, Byeonghu Na, Jang, JoonHo +9 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Bivariate Beta-LSTM
   2019/05/25 by Song, Kyungwoo, Jang, JoonHo, Shin, Seung jae +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
   2020/11/24 by Kim, Hyemi, Shin, Seungjae, Jang, JoonHo +4 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)