103 citations · 138 across the 5 of their papers we have counts for
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cs.IR2021
Learning Dynamic Preference Structure Embedding From Temporal Networks
Tongya Zheng, Zunlei Feng, Yu Wang +6
The dynamics of temporal networks lie in the continuous interactions between nodes, which exhibit the dynamic node preferences with time elapsing. The challenges of mining temporal…
cs.LG2021★ 7 cited
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang, Yifan Bao, Jie Song +4
Knowledge distillation~(KD) aims to craft a compact student model that imitates the behavior of a pre-trained teacher in a target domain. Prior KD approaches, despite their gratify…
cs.CV2021
Training Generative Adversarial Networks in One Stage
Chengchao Shen, Youtan Yin, Xinchao Wang +3
Generative Adversarial Networks (GANs) have demonstrated unprecedented success in various image generation tasks. The encouraging results, however, come at the price of a cumbersom…