10 citations · 30 across the 10 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 1 cited
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
Haichao Zhang, Kuangrong Hao, Lei Gao +2
Deep neural networks (DNNs) have achieved remarkable success in computer vision; however, training DNNs for satisfactory performance remains challenging and suffers from sensitivit…
cs.CL2020★ 6 cited
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
Yan Xiao, Yaochu Jin, Ran Cheng +1
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information. As…
cs.NE2020★ 10 cited
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang, Yaochu Jin, Ran Cheng +1
The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network archit…