89 citations · 188 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 12 cited
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Muyuan Fang, Qiang Wang, Zhao Zhong
Automatic neural architecture search techniques are becoming increasingly important in machine learning area. Especially, weight sharing methods have shown remarkable potentials on…
cs.CV2019★ 89 cited
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang +1
Data augmentation (DA) has been widely utilized to improve generalization in training deep neural networks. Recently, human-designed data augmentation has been gradually replaced b…
cs.CV2019★ 12 cited
Vector and Line Quantization for Billion-scale Similarity Search on GPUs
Wei Chen, Jincai Chen, Fuhao Zou +4
Billion-scale high-dimensional approximate nearest neighbour (ANN) search has become an important problem for searching similar objects among the vast amount of images and videos a…