82 citations · 112 across the 5 of their papers we have counts for
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math.OC2021
A Granular Sieving Algorithm for Deterministic Global Optimization
Tao Qian, Lei Dai, Liming Zhang +1
A gradient-free deterministic method is developed to solve global optimization problems for Lipschitz continuous functions defined in arbitrary path-wise connected compact sets in…
cs.CV2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance
An Zhang, Xiang Wang, Chengfang Fang +3
Gradient-based attribution methods can aid in the understanding of convolutional neural networks (CNNs). However, the redundancy of attribution features and the gradient saturation…