most citedLatent Variables on Spheres for Autoencoders in High Dimensions

6 citations · 6 across the 1 of their papers we have counts for

collaborators

5 papers

eess.IV2020

Perceptual Image Super-Resolution with Progressive Adversarial Network

Lone Wong, Deli Zhao, Shaohua Wan +1

Single Image Super-Resolution (SISR) aims to improve resolution of small-size low-quality image from a single one. With popularity of consumer electronics in our daily life, this t…

cs.SD2019

Neural Architecture Search on Acoustic Scene Classification

Jixiang Li, Chuming Liang, Bo Zhang +3

Convolutional neural networks are widely adopted in Acoustic Scene Classification (ASC) tasks, but they generally carry a heavy computational burden. In this work, we propose a lig…

cs.LG20196 cited

Latent Variables on Spheres for Autoencoders in High Dimensions

Deli Zhao, Jiapeng Zhu, Bo Zhang

Variational Auto-Encoder (VAE) has been widely applied as a fundamental generative model in machine learning. For complex samples like imagery objects or scenes, however, VAE suffe…

cs.LG2019

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Xiangxiang Chu, Tianbao Zhou, Bo Zhang +1

Differentiable Architecture Search (DARTS) is now a widely disseminated weight-sharing neural architecture search method. However, it suffers from well-known performance collapse d…

cs.LG2019

Curriculum Learning for Deep Generative Models with Clustering

Deli Zhao, Jiapeng Zhu, Zhenfang Guo +1

Training generative models like Generative Adversarial Network (GAN) is challenging for noisy data. A novel curriculum learning algorithm pertaining to clustering is proposed to ad…