101 citations · 155 across the 7 of their papers we have counts for
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cs.CV2019★ 54 cited
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong, Zhewei Yao, Yaohui Cai +4
Quantization is an effective method for reducing memory footprint and inference time of Neural Networks, e.g., for efficient inference in the cloud, especially at the edge. However…
cs.CV2019
Unsupervised Projection Networks for Generative Adversarial Networks
Daiyaan Arfeen, Jesse Zhang
We propose the use of unsupervised learning to train projection networks that project onto the latent space of an already trained generator. We apply our method to a trained StyleG…