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cs.CV2023
Hard Sample Matters a Lot in Zero-Shot Quantization
Huantong Li, Xiangmiao Wu, Fanbing Lv +5
Zero-shot quantization (ZSQ) is promising for compressing and accelerating deep neural networks when the data for training full-precision models are inaccessible. In ZSQ, network q…
cs.CV2021★ 4 cited
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
Guohao Ying, Xin He, Bin Gao +2
Generative adversarial networks (GANs) have proven successful in image generation tasks. However, GAN training is inherently unstable. Although many works try to stabilize it by ma…