A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions

5 October 2020

Papers citing "A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions"

14 / 14 papers shown

Title
Compact Language Models via Pruning and Knowledge Distillation Saurav Muralidharan Sharath Turuvekere Sreenivas Raviraj Joshi Marcin Chochowski M. Patwary M. Shoeybi Bryan Catanzaro Jan Kautz Pavlo Molchanov SyDa MQ 44 38 0 19 Jul 2024
Compression of Recurrent Neural Networks using Matrix Factorization Lucas Maison Hélion Marie du Mas des Bourboux Thomas Courtat 23 0 0 19 Oct 2023
Distributed Neural Representation for Reactive in situ Visualization Qi Wu J. Insley V. Mateevitsi S. Rizzi M. Papka Kwan-Liu Ma 29 1 0 28 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 25 3 0 03 Mar 2023
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation Rahul Mishra Hari Prabhat Gupta 40 8 0 30 Sep 2022
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices M. Dantas I. R. R. Silva A. T. O. Filho Gibson B. N. Barbosa Daniel Bezerra D. Sadok J. Kelner M. Marquezini Ricardo F. D. Silva 17 1 0 26 May 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
On Neural Network Equivalence Checking using SMT Solvers Charis Eleftheriadis Nikolaos Kekatos Panagiotis Katsaros S. Tripakis AAML 24 12 0 22 Mar 2022
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment Alyssa Kody Samuel C. Chevalier Spyros Chatzivasileiadis Daniel Molzahn 66 37 0 21 Oct 2021
MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation Yimin Dou Kewen Li Jianbing Zhu Timing Li Shaoquan Tan Zongchao Huang 14 25 0 11 Oct 2021
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning Liping Wang Saideep Tiku S. Pasricha 21 32 0 02 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 366 0 16 Jun 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 21 38 0 20 Mar 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020