6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 6 cited
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Qingzhong Ai, Pengyun Wang, Lirong He +3
Learning with imbalanced data is a challenging problem in deep learning. Over-sampling is a widely used technique to re-balance the sampling distribution of training data. However,…
cs.CV2022
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Yanchen Li, Qingzhong Ai, Fumihiko Ino
Recently, tile pruning has been widely studied to accelerate the inference of deep neural networks (DNNs). However, we found that the loss due to tile pruning, which can eliminate…