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Model compression as constrained optimization, with application to
neural nets. Part I: general framework

Model compression as constrained optimization, with application to neural nets. Part I: general framework

5 July 2017

Miguel Á. Carreira-Perpiñán

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Papers citing "Model compression as constrained optimization, with application to neural nets. Part I: general framework"

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Title
A Discrepancy-Based Perspective on Dataset Condensation Tong Chen Raghavendra Selvan DD 249 0 0 12 Sep 2025
Search-Optimized Quantization in Biomedical Ontology AlignmentFrontiers in Artificial Intelligence (Front. Artif. Intell.), 2025 Oussama Bouaggad Natalia Grabar MQ 165 0 0 18 Jul 2025
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 204 1 0 13 Mar 2023
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image ClassificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Babak Rokh A. Azarpeyvand Alireza Khanteymoori MQ 385 171 0 14 May 2022
When in Doubt, Summon the Titans: Efficient Inference with Large Models A. S. Rawat Manzil Zaheer A. Menon Amr Ahmed Sanjiv Kumar 114 8 0 19 Oct 2021
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions Miguel Á. Carreira-Perpiñán Yerlan Idelbayev 194 6 0 09 Jul 2021
Going Beyond Classification Accuracy Metrics in Model Compression Vinu Joseph Shoaib Ahmed Siddiqui Aditya Bhaskara Ganesh Gopalakrishnan Saurav Muralidharan M. Garland Sheraz Ahmed Andreas Dengel 169 18 0 03 Dec 2020
A flexible, extensible software framework for model compression based on the LC algorithm Yerlan Idelbayev Miguel Á. Carreira-Perpiñán 148 9 0 15 May 2020
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 205 10 0 06 Nov 2019
Channel-wise pruning of neural networks with tapering resource constraint A. Kruglov 88 1 0 04 Dec 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 266 127 0 01 Oct 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 241 67 0 15 Aug 2018
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 160 39 0 13 Jul 2017