2 citations · 2 across the 1 of their papers we have counts for
3 papers
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution
Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips +1
Recent success in the field of single image super-resolution (SISR) is achieved by optimizing deep convolutional neural networks (CNNs) in the image space with the L1 or L2 loss. H…
Bias Loss for Mobile Neural Networks
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen +1
Compact convolutional neural networks (CNNs) have witnessed exceptional improvements in performance in recent years. However, they still fail to provide the same predictive power a…
Learned Gradient Compression for Distributed Deep Learning
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis +1
Training deep neural networks on large datasets containing high-dimensional data requires a large amount of computation. A solution to this problem is data-parallel distributed tra…