Deep Learning with Low Precision by Half-wave Gaussian Quantization

3 February 2017

Papers citing "Deep Learning with Low Precision by Half-wave Gaussian Quantization"

50 / 93 papers shown

Title
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 41 0 0 03 Mar 2025
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen Wei Tao Dongyue Zhao Kazuhiro Mima Tadayuki Ito Kinya Osa Masami Kato MQ 31 0 0 03 Jan 2025
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 48 1 0 29 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 24 0 0 13 Jul 2024
Designed Dithering Sign Activation for Binary Neural Networks Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 35 1 0 03 May 2024
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation Szymon Mazurek M. Pytlarz Sylwia Malec A. Crimi 31 0 0 03 Apr 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization Qianhui Liu Jiaqi Yan Malu Zhang Gang Pan Haizhou Li 34 4 0 26 Jan 2024
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 21 1 0 25 Jul 2023
Quantized Feature Distillation for Network Quantization Kevin Zhu Yin He Jianxin Wu MQ 29 9 0 20 Jul 2023
A Framework for Benchmarking Real-Time Embedded Object Detection M. Schlosser D. König Michael Teutsch ObjD 18 0 0 23 Apr 2023
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input Senmao Tian Ming Lu Jiaming Liu Yandong Guo Yurong Chen Shunli Zhang SupR MQ 20 11 0 13 Apr 2023
Learning Discretized Neural Networks under Ricci Flow Jun Chen Han Chen Mengmeng Wang Guang Dai Ivor W. Tsang Y. Liu 22 2 0 07 Feb 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 15 1 0 15 Jan 2023
Redistribution of Weights and Activations for AdderNet Quantization Ying Nie Kai Han Haikang Diao Chuanjian Liu Enhua Wu Yunhe Wang MQ 49 6 0 20 Dec 2022
PD-Quant: Post-Training Quantization based on Prediction Difference Metric Jiawei Liu Lin Niu Zhihang Yuan Dawei Yang Xinggang Wang Wenyu Liu MQ 96 68 0 14 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 21 2 0 10 Dec 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance Haotong Qin Xudong Ma Yifu Ding X. Li Yang Zhang Zejun Ma Jiakai Wang Jie Luo Xianglong Liu MQ 40 20 0 13 Nov 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization Alireza Bordbar M. Kahaei MQ 25 0 0 24 Oct 2022
AttTrack: Online Deep Attention Transfer for Multi-object Tracking Keivan Nalaie Rong Zheng VOT 11 4 0 16 Oct 2022
Convolutional Neural Networks Quantization with Attention Binyi Wu Bernd Waschneck Christian Mayr MQ 16 1 0 30 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise Egor Shvetsov Dmitry Osin Alexey Zaytsev Ivan Koryakovskiy Valentin Buchnev I. Trofimov Evgeny Burnaev MQ 21 2 0 31 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets Zhaopeng Tu Xinghao Chen Pengju Ren Yunhe Wang MQ 36 54 0 17 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 21 11 0 11 Aug 2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution Chee Hong Sungyong Baik Heewon Kim Seungjun Nah Kyoung Mu Lee SupR MQ 25 32 0 21 Jul 2022
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective Sejin Seo Jihong Park Seung-Woo Ko Jinho D. Choi M. Bennis Seong-Lyun Kim 27 22 0 08 Jul 2022
Combinatorial optimization for low bit-width neural networks Hanxu Zhou Aida Ashrafi Matthew B. Blaschko MQ 21 0 0 04 Jun 2022
Standard Deviation-Based Quantization for Deep Neural Networks Amir Ardakani A. Ardakani B. Meyer J. Clark W. Gross MQ 44 1 0 24 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 26 16 0 22 Feb 2022
Lightweight Jet Reconstruction and Identification as an Object Detection Task Adrian Alan Pol T. Aarrestad E. Govorkova Roi Halily Anat Klempner ... Vladimir Loncar J. Ngadiuba M. Pierini Olya Sirkin S. Summers 27 2 0 09 Feb 2022
Elastic-Link for Binarized Neural Network Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 30 6 0 19 Dec 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 27 24 0 24 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment Weixin Xu Zipeng Feng Shuangkang Fang Song Yuan Yi Yang Shuchang Zhou MQ 24 1 0 01 Nov 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 42 61 0 13 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 14 1 0 06 Oct 2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores Boyuan Feng Yuke Wang Tong Geng Ang Li Yufei Ding MQ 13 37 0 23 Jun 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos Lukas Hedegaard Alexandros Iosifidis 3DPC 18 14 0 31 May 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization Tianlong Chen Zhenyu (Allen) Zhang Xu Ouyang Zechun Liu Zhiqiang Shen Zhangyang Wang MQ 37 36 0 16 Apr 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 130 673 0 24 Jan 2021
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks Ziquan Liu Wuguannan Yao Qiao Li Antoni B. Chan MQ 22 9 0 26 Dec 2020
Adaptive Precision Training for Resource Constrained Devices Tian Huang Tao Luo Joey Tianyi Zhou 34 5 0 23 Dec 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 13 55 0 10 Oct 2020
High-Capacity Expert Binary Networks Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 24 57 0 07 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo Sungho Shin Jungwook Choi Wonyong Sung MQ 22 29 0 30 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 33 47 0 28 Sep 2020
NASB: Neural Architecture Search for Binary Convolutional Neural Networks Baozhou Zhu Zaid Al-Ars P. Hofstee MQ 24 23 0 08 Aug 2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization Haibao Yu Qi Han Jianbo Li Jianping Shi Guangliang Cheng Bin Fan MQ 19 61 0 20 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 29 10 0 14 Jul 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 16 119 0 08 May 2020