1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
Yunjie Tian, Lingxi Xie, Jiemin Fang +3
The existing neural architecture search algorithms are mostly working on search spaces with short-distance connections. We argue that such designs, though safe and stable, obstacle…
cs.CV2016★ 1 cited
A scalable convolutional neural network for task-specified scenarios via knowledge distillation
Mengnan Shi, Fei Qin, Qixiang Ye +2
In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks. Considering that many front-end visual systems are inter…