Quantized Guided Pruning for Efficient Hardware Implementations of
Convolutional Neural Networks

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks

29 December 2018

Vincent Gripon

Nicolas Farrugia

Papers citing "Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks"

8 / 8 papers shown

Title
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks A. Ardakani C. Condo W. Gross 58 42 0 04 Nov 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,984 0 23 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 164 4,356 0 16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,482 0 24 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 189 1,347 0 08 Feb 2016
Neural Networks with Few Multiplications Zhouhan Lin Matthieu Courbariaux Roland Memisevic Yoshua Bengio 84 331 0 11 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 255 8,833 0 01 Oct 2015
Fractional Max-Pooling Benjamin Graham TPM 90 517 0 18 Dec 2014