AdaBits: Neural Network Quantization with Adaptive Bit-Widths

20 December 2019

Linjie Yang

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

23 / 23 papers shown

Title
Nearly Lossless Adaptive Bit Switching Haiduo Huang Zhenhua Liu Tian Xia Wenzhe zhao Pengju Ren MQ 63 0 0 03 Feb 2025
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark J. Coates Pablo Piantanida Stephan Gunnemann 45 0 0 20 Jun 2024
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring Xintian Mao Qingli Li Yan Wang 48 14 0 13 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 27 1 0 25 Jul 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Mingliang Xu Yuyao Zhou Rongrong Ji Rongrong Ji MQ 34 1 0 14 May 2023
GradMDM: Adversarial Attack on Dynamic Networks Jianhong Pan Lin Geng Foo Qichen Zheng Zhipeng Fan Hossein Rahmani Qiuhong Ke Jun Liu AAML 16 6 0 01 Apr 2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks Kaixin Xu Alina Hui Xiu Lee Ziyuan Zhao Zhe Wang Min-man Wu Weisi Lin MQ 25 1 0 04 Mar 2023
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 27 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 31 32 0 21 Jul 2022
Adaptive Patch Exiting for Scalable Single Image Super-Resolution Shizun Wang Ming Lu Kaixin Chen Xiaoqi Li Jiaming Liu Yandong Guo SupR 33 23 0 22 Mar 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 32 4 0 03 Feb 2022
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 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 26 0 0 19 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 46 71 0 17 Nov 2021
Progressive Transmission and Inference of Deep Learning Models Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi 24 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 52 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 55 17 0 11 Jun 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks Yonggan Fu Zhongzhi Yu Yongan Zhang Yi Ding Chaojian Li Yongyuan Liang Mingchao Jiang Zhangyang Wang Yingyan Lin 28 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 39 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 31 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 55 68 0 05 Nov 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016