Post-training Quantization for Neural Networks with Provable Guarantees

Post-training Quantization for Neural Networks with Provable Guarantees

26 January 2022

Yixuan Zhou

Papers citing "Post-training Quantization for Neural Networks with Provable Guarantees"

18 / 18 papers shown

Title
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing Aditi Tiwari Klara Nahrstedt 41 1 0 17 Mar 2025
Verification of Bit-Flip Attacks against Quantized Neural Networks Yedi Zhang Lei Huang Pengfei Gao Fu Song Jun Sun Jin Song Dong AAML 47 0 0 22 Feb 2025
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment Haisheng Lu Yujie Fu Fan Zhang Le Zhang MedIm MQ 68 0 0 15 Dec 2024
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks Alireza Khodamoradi K. Denolf Eric Dellinger MQ 32 0 0 15 Oct 2024
Accumulator-Aware Post-Training Quantization Ian Colbert Fabian Grob Giuseppe Franco Jinjie Zhang Rayan Saab MQ 22 3 0 25 Sep 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization Aozhong Zhang Naigang Wang Yanxia Deng Xin Li Zi Yang Penghang Yin MQ 37 4 0 02 Jun 2024
Exploring Extreme Quantization in Spiking Language Models Malyaban Bal Yi Jiang Abhronil Sengupta MQ 47 4 0 04 May 2024
Frame Quantization of Neural Networks Wojciech Czaja Sanghoon Na 32 1 0 11 Apr 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization Aozhong Zhang Zi Yang Naigang Wang Yingyong Qin Jack Xin Xin Li Penghang Yin VLM MQ 38 3 0 11 Mar 2024
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments Calvin Tanama Kunyu Peng Zdravko Marinov Rainer Stiefelhagen Alina Roitberg 17 1 0 10 Nov 2023
Microscaling Data Formats for Deep Learning B. Rouhani Ritchie Zhao Ankit More Mathew Hall Alireza Khodamoradi ... Maxim Naumov Colin Verilli Ralph Wittig Doug Burger Eric S. Chung MQ 29 52 0 16 Oct 2023
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization Jinjie Zhang Rayan Saab 16 0 0 20 Sep 2023
Resource Efficient Neural Networks Using Hessian Based Pruning J. Chong Manas Gupta Lihui Chen 19 2 0 12 Jun 2023
Rotation Invariant Quantization for Model Compression Dor-Joseph Kampeas Yury Nahshan Hanoch Kremer Gil Lederman Shira Zaloshinski Zheng Li E. Haleva MQ 16 0 0 03 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
A simple approach for quantizing neural networks J. Maly Rayan Saab MQ 22 11 0 07 Sep 2022
CEG4N: Counter-Example Guided Neural Network Quantization Refinement J. Matos I. Bessa Edoardo Manino Xidan Song Lucas C. Cordeiro MQ 40 2 0 09 Jul 2022
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017