Learning Sparse Low-Precision Neural Networks With Learnable Regularization

1 September 2018

Papers citing "Learning Sparse Low-Precision Neural Networks With Learnable Regularization"

6 / 6 papers shown

Title
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment Weixin Xu Zipeng Feng Shuangkang Fang Song Yuan Yi Yang Shuchang Zhou MQ 16 1 0 01 Nov 2021
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency Cheng-Ming Chiang Yu-Wen Tseng Yu-Syuan Xu Hsien-Kai Kuo Yi-Min Tsai ... Chia-Lin Yu B. Shen Kloze Kao Chia-Ming Cheng Hung-Jen Chen 32 22 0 27 Apr 2020
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Bohan Zhuang Jing Liu Mingkui Tan Lingqiao Liu Ian Reid Chunhua Shen MQ 26 44 0 10 Aug 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent Lukas Enderich Fabian Timm Lars Rosenbaum Wolfram Burgard MQ 17 9 0 16 Jul 2019
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 81 85 0 07 Feb 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 313 1,047 0 10 Feb 2017