A Survey on Methods and Theories of Quantized Neural Networks

13 August 2018

Papers citing "A Survey on Methods and Theories of Quantized Neural Networks"

28 / 28 papers shown

Title
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs Lucas Maisonnave Cyril Moineau Olivier Bichler Fabrice Rastello MQ 40 0 0 18 Apr 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 71 2 0 25 Feb 2025
Unsupervised detection of semantic correlations in big data Santiago Acevedo Alex Rodriguez A. Laio 65 2 0 04 Nov 2024
Tuning-free one-bit covariance estimation using data-driven dithering S. Dirksen J. Maly 23 7 0 24 Jul 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 27 4 0 07 Nov 2022
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition Xingcheng Song Di Wu Binbin Zhang Zhiyong Wu Wenpeng Li ... Peng Zhang Zhendong Peng Fuping Pan Changbao Zhu Zhongqin Wu 19 2 0 31 Oct 2022
A simple approach for quantizing neural networks J. Maly Rayan Saab MQ 17 11 0 07 Sep 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 21 24 0 29 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 18 11 0 11 Aug 2022
High Efficiency Pedestrian Crossing Prediction Z. Zeng 10 0 0 04 Apr 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 22 211 0 10 Jan 2022
Approximation of functions with one-bit neural networks C. S. Güntürk Weilin Li 17 8 0 16 Dec 2021
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking Xidan Song Edoardo Manino Luiz Sena E. Alves Eddie Batista de Lima Filho I. Bessa M. Luján Lucas C. Cordeiro 26 5 0 25 Nov 2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge Abdelrahman I. Hosny Marina Neseem Sherief Reda MQ 25 4 0 29 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 31 61 0 13 Oct 2021
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones Kalpa Gunaratna Vijay Srinivasan Sandeep Nama Hongxia Jin 8 5 0 23 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 32 0 0 28 Jul 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 15 0 0 04 Jul 2021
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 33 14 0 03 Jun 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 20 18 0 16 Apr 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 45 139 0 21 Dec 2020
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units Guangli Li Lei Liu Xueying Wang Xiu Ma Xiaobing Feng MQ 11 18 0 19 Mar 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Yunhui Guo Yandong Li Liqiang Wang Tajana Simunic 21 41 0 21 Nov 2019
Bit Efficient Quantization for Deep Neural Networks Prateeth Nayak David C. Zhang S. Chai MQ 17 43 0 07 Oct 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 14 18 0 27 Sep 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 21 149 0 12 Jul 2019
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Richard I. Hartley Philip H. S. Torr MQ 16 20 0 11 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017