39 citations · 39 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 39 cited
AGAN: Towards Automated Design of Generative Adversarial Networks
Hanchao Wang, Jun Huan
Recent progress in Generative Adversarial Networks (GANs) has shown promising signs of improving GAN training via architectural change. Despite some early success, at present the d…
cs.LG2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li, Haoyi Xiong, Hanchao Wang +4
Transfer learning through fine-tuning a pre-trained neural network with an extremely large dataset, such as ImageNet, can significantly accelerate training while the accuracy is fr…