249 citations · 507 across the 22 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.IT2018★ 19 cited
Rate Distortion For Model Compression: From Theory To Practice
Weihao Gao, Yu-Han Liu, Chong Wang +1
The enormous size of modern deep neural networks makes it challenging to deploy those models in memory and communication limited scenarios. Thus, compressing a trained model withou…
stat.ML2018★ 249 cited
Attention-based Graph Neural Network for Semi-supervised Learning
Kiran K. Thekumparampil, Chong Wang, Sewoong Oh +1
Recently popularized graph neural networks achieve the state-of-the-art accuracy on a number of standard benchmark datasets for graph-based semi-supervised learning, improving sign…