most citedDELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

94 citations · 135 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2023★ 2 cited

VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum

Huanyu Bian, Zhilong Jia, Menghan Dou +13

With the rapid development of classical and quantum machine learning, a large number of machine learning frameworks have been proposed. However, existing machine learning framework…

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★ 94 cited

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…