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Found 2 papers, 1 papers with code
Weight Reparametrization for Budget-Aware Network Pruning
In this paper, we introduce an "end-to-end" lightweight network design that achieves training and pruning simultaneously without fine-tuning.
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search
Amongst these models one architecture has the same Top-1 accuracy on ImageNet as NASNet-A mobile with 8% less floating point operations and another one has a Top-1 accuracy of 75. 28% on ImageNet exceeding by 0. 28% the best MobileNetV2 model for the same computational resources.
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