80 citations · 208 across the 9 of their papers we have counts for
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cs.CV2020
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search
Zixiang Ding, Yaran Chen, Nannan Li +1
In this paper, we propose BNAS-v2 to further improve the efficiency of NAS, embodying both superiorities of BCNN simultaneously. To mitigate the unfair training issue of BNAS, we e…
stat.ML2020★ 68 cited
BNAS:An Efficient Neural Architecture Search Approach Using Broad Scalable Architecture
Zixiang Ding, Yaran Chen, Nannan Li +3
In this paper, we propose Broad Neural Architecture Search (BNAS) where we elaborately design broad scalable architecture dubbed Broad Convolutional Neural Network (BCNN) to solve…