11 citations · 16 across the 5 of their papers we have counts for
3 papers · 1 filter
Efficient Training Under Limited Resources
Mahdi Zolnouri, Dounia Lakhmiri, Christophe Tribes +2
Training time budget and size of the dataset are among the factors affecting the performance of a Deep Neural Network (DNN). This paper shows that Neural Architecture Search (NAS),…
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks
Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri +1
Performance optimization of deep learning models is conducted either manually or through automatic architecture search, or a combination of both. On the other hand, their performan…
Demystifying and Generalizing BinaryConnect
Tim Dockhorn, Yaoliang Yu, Eyyüb Sari +2
BinaryConnect (BC) and its many variations have become the de facto standard for neural network quantization. However, our understanding of the inner workings of BC is still quite…