12 citations · 17 across the 2 of their papers we have counts for
4 papers
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…
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…
Parts for the Whole: The DCT Norm for Extreme Visual Recovery
Yunhe Wang, Chang Xu, Shan You +2
Here we study the extreme visual recovery problem, in which over 90\% of pixel values in a given image are missing. Existing low rank-based algorithms are only effective for recove…
Streaming Label Learning for Modeling Labels on the Fly
Shan You, Chang Xu, Yunhe Wang +2
It is challenging to handle a large volume of labels in multi-label learning. However, existing approaches explicitly or implicitly assume that all the labels in the learning proce…