323 citations · 604 across the 11 of their papers we have counts for
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cs.LG2020★ 39 cited
A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang +5
Active learning (AL) attempts to maximize the performance gain of the model by marking the fewest samples. Deep learning (DL) is greedy for data and requires a large amount of data…
cs.LG2020★ 201 cited
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren, Yun Xiao, Xiaojun Chang +4
Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is…