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2005.07093
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Bayesian Bits: Unifying Quantization and Pruning
14 May 2020
M. V. Baalen
Christos Louizos
Markus Nagel
Rana Ali Amjad
Ying Wang
Tijmen Blankevoort
Max Welling
MQ
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Papers citing
"Bayesian Bits: Unifying Quantization and Pruning"
50 / 79 papers shown
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Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
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David Aponte
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Daniel P. Robinson
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K. Koishida
Ilya Zharkov
Tianyi Chen
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389
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372
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197
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Jiawei Hu
You Huang
Yuxin Zhang
Rongrong Ji
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123
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Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks
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Matteo Risso
Luca Bompani
Enrico Macii
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347
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Cosmin Safta
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383
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30 Jun 2024
Bayesian-LoRA: LoRA based Parameter Efficient Fine-Tuning using Optimal Quantization levels and Rank Values trough Differentiable Bayesian Gates
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Ksenia Sycheva
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Justin Dauwels
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360
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18 Jun 2024
Quantization of Large Language Models with an Overdetermined Basis
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241
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281
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11 Apr 2024
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276
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Mixed-precision Supernet Training from Vision Foundation Models using Low Rank Adapter
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319
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29 Mar 2024
Adaptive quantization with mixed-precision based on low-cost proxy
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Qiao Yang
Senmao Tian
Shunli Zhang
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196
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27 Feb 2024
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
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Chen Tang
Yuan Meng
Jiacheng Jiang
Shuzhao Xie
Rongwei Lu
Cheng Wang
Zhi Wang
Wenwu Zhu
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281
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03 Jan 2024
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
K. Balaskas
Andreas Karatzas
Christos Sad
K. Siozios
Iraklis Anagnostopoulos
Georgios Zervakis
Jörg Henkel
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249
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23 Dec 2023
Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting
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Ning He
Yan Chen
Zhihang Yuan
Jiangyong Yu
Chen Xu
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283
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259
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Daniel M. Bikel
213
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05 Nov 2023
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K. Guo
Fan Liu
Xiaofen Xing
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323
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Yifan Zhang
Zhen Dong
Huanrui Yang
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Yuan Du
Kurt Keutzer
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Shanghang Zhang
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227
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ResQ: Residual Quantization for Video Perception
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H. Yahia
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A. Habibian
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302
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FPGA Resource-aware Structured Pruning for Real-Time Neural Networks
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255
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Quantization Aware Factorization for Deep Neural Network Compression
Journal of Artificial Intelligence Research (JAIR), 2023
Daria Cherniuk
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A. Cichocki
Julia Gusak
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314
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FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
Jordan Dotzel
Gang Wu
Andrew Li
M. Umar
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Martin G. Dixon
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Quoc V. Le
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MQ
343
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M. V. Baalen
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203
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Pruning vs Quantization: Which is Better?
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Andrey Kuzmin
Markus Nagel
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Arash Behboodi
Tijmen Blankevoort
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382
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Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge
International Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023
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Luca Benini
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286
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Neural Network Compression using Binarization and Few Full-Precision Weights
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Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach
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