3 citations · 9 across the 13 of their papers we have counts for
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cs.LG2023★ 3 cited
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen, Zihui Yan, Yunjie Zhu
Generative data augmentation (GDA) has emerged as a promising technique to alleviate data scarcity in machine learning applications. This thesis presents a comprehensive survey and…
cs.CV2023★ 1 cited
Adaptive Growth: Real-time CNN Layer Expansion
Yunjie Zhu, Yunhao Chen
Deep Neural Networks (DNNs) have shown unparalleled achievements in numerous applications, reflecting their proficiency in managing vast data sets. Yet, their static structure limi…
cs.SD2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator
Yunhao Chen, Yunjie Zhu, Zihui Yan +3
Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthet…