127 citations · 155 across the 8 of their papers we have counts for
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cs.LG2018★ 1 cited
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma, Abdul Sattar, Jun Zhou +2
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probabi…
cs.AI2018
Advancing Tabu and Restart in Local Search for Maximum Weight Cliques
Yi Fan, Nan Li, Chengqian Li +3
The tabu and restart are two fundamental strategies for local search. In this paper, we improve the local search algorithms for solving the Maximum Weight Clique (MWC) problem by i…