3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2021
SDA: Improving Text Generation with Self Data Augmentation
Ping Yu, Ruiyi Zhang, Yang Zhao +3
Data augmentation has been widely used to improve deep neural networks in many research fields, such as computer vision. However, less work has been done in the context of text, pa…
cs.CV2020★ 3 cited
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao, Chunyuan Li, Ping Yu +1
Few-shot learning features the capability of generalizing from a few examples. In this paper, we first identify that a discriminative feature space, namely a rectified metric space…
cs.LG2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
Yang Zhao, Ping Yu, Suchismit Mahapatra +2
Variational autoencoders (VAEs) are essential tools in end-to-end representation learning. However, the sequential text generation common pitfall with VAEs is that the model tends…