Search Results for author: Qinyao He

Found 3 papers, 2 papers with code

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

no code implementations22 Jun 2017 Shuchang Zhou, Yuzhi Wang, He Wen, Qinyao He, Yuheng Zou

Overall, our method improves the prediction accuracies of QNNs without introducing extra computation during inference, has negligible impact on training speed, and is applicable to both Convolutional Neural Networks and Recurrent Neural Networks.

Quantization

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

2 code implementations14 May 2017 Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

In this work, we propose a model that can learn object transfiguration from two unpaired sets of images: one set containing images that "have" that kind of object, and the other set being the opposite, with the mild constraint that the objects be located approximately at the same place.

Attribute Conditional Image Generation +1

Effective Quantization Methods for Recurrent Neural Networks

2 code implementations30 Nov 2016 Qinyao He, He Wen, Shuchang Zhou, Yuxin Wu, Cong Yao, Xinyu Zhou, Yuheng Zou

In addition, we propose balanced quantization methods for weights to further reduce performance degradation.

Quantization

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