Optimizing Deep Shift Neural Networks for High Performance and Energy Efficiency through Multi-Fidelity Multi-Objective Hyperparameter Optimization
A multi-fidelity, multi-objective hyperparameter optimization approach to develop high-accuracy, energy-efficient deep shift neural network models.
