3260 papers • 126 benchmarks • 313 datasets
Incorporating distilled Cucker-Smale elements into PSO algorithm using KNN and intertwine training with SGD (Pull back method)
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A novel Particle Swarm Optimization (PSO) based training for ConvNets with competitive performance with respect to other PSO-based approaches on Cifar-10 and CIfar-100 (accuracy of 98.31% and 87.48%).
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