1k citations · 2.4k across the 22 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
stat.ML2017★ 12 cited
Towards Evolutional Compression
Yunhe Wang, Chang Xu, Jiayan Qiu +2
Compressing convolutional neural networks (CNNs) is essential for transferring the success of CNNs to a wide variety of applications to mobile devices. In contrast to directly reco…
cs.CV2017★ 396 cited
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang, Chang Xu, Chaohui Wang +1
In this paper, we propose a principled Perceptual Adversarial Networks (PAN) for image-to-image transformation tasks. Unlike existing application-specific algorithms, PAN provides…
stat.ML2017★ 5 cited
Privileged Multi-label Learning
Shan You, Chang Xu, Yunhe Wang +2
This paper presents privileged multi-label learning (PrML) to explore and exploit the relationship between labels in multi-label learning problems. We suggest that for each individ…