6.5k citations · 18.4k across the 52 of their papers we have counts for
Showing 2015Show all
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cs.CV2015★ 3.5k cited
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources. To address this limita…
cs.NE2015★ 662 cited
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran +1
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems. Also, conventional networks fix the architecture befor…