121 citations · 236 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021★ 3 cited
Topological Regularization for Graph Neural Networks Augmentation
Rui Song, Fausto Giunchiglia, Ke Zhao +1
The complexity and non-Euclidean structure of graph data hinder the development of data augmentation methods similar to those in computer vision. In this paper, we propose a featur…
cs.LG2017★ 5 cited
Trace norm regularization and faster inference for embedded speech recognition RNNs
Markus Kliegl, Siddharth Goyal, Kexin Zhao +2
We propose and evaluate new techniques for compressing and speeding up dense matrix multiplications as found in the fully connected and recurrent layers of neural networks for embe…