AdaBits: Neural Network Quantization with Adaptive Bit-Widths

AdaBits: Neural Network Quantization with Adaptive Bit-Widths

20 December 2019

Linjie Yang

Papers citing "AdaBits: Neural Network Quantization with Adaptive Bit-Widths"

17 / 17 papers shown

Title
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark J. Coates Pablo Piantanida Stephan Gunnemann 33 0 0 20 Jun 2024
RefQSR: Reference-based Quantization for Image Super-Resolution Networks H. Lee Jun-Sang Yoo Seung-Won Jung SupR 18 2 0 02 Apr 2024
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 19 1 0 25 Jul 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Yunshan Zhong Yuyao Zhou Fei Chao Rongrong Ji MQ 26 1 0 14 May 2023
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 19 2 0 10 Dec 2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution Chee Hong Sungyong Baik Heewon Kim Seungjun Nah Kyoung Mu Lee SupR MQ 23 32 0 21 Jul 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 16 24 0 24 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 13 0 0 19 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Yunshan Zhong Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 30 70 0 17 Nov 2021
Progressive Transmission and Inference of Deep Learning Models Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi 11 2 0 03 Oct 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Katie Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 44 12 0 11 Sep 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators Yonggan Fu Yongan Zhang Yang Zhang David D. Cox Yingyan Lin MQ 50 17 0 11 Jun 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks Yonggan Fu Zhongzhi Yu Yongan Zhang Yifan Jiang Chaojian Li Yongyuan Liang Mingchao Jiang Zhangyang Wang Yingyan Lin 18 3 0 22 Apr 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models Qing Jin Jian Ren Oliver J. Woodford Jiazhuo Wang Geng Yuan Yanzhi Wang Sergey Tulyakov 28 54 0 05 Mar 2021
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search Mingzhu Shen Feng Liang Ruihao Gong Yuhang Li Chuming Li Chen Lin F. Yu Junjie Yan Wanli Ouyang MQ 21 36 0 09 Oct 2020
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 49 68 0 05 Nov 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016