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cs.LG2023
Energy Efficient Training of SNN using Local Zeroth Order Method
Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes +3
Spiking neural networks are becoming increasingly popular for their low energy requirement in real-world tasks with accuracy comparable to the traditional ANNs. SNN training algori…
cs.LG2022
Balanced Self-Paced Learning for AUC Maximization
Bin Gu, Chenkang Zhang, Huan Xiong +1
Learning to improve AUC performance is an important topic in machine learning. However, AUC maximization algorithms may decrease generalization performance due to the noisy data. S…