Data-free parameter pruning for Deep Neural Networks

22 July 2015

Papers citing "Data-free parameter pruning for Deep Neural Networks"

50 / 96 papers shown

Title
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 59 8 0 20 Jan 2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization Assaf Lahiany Yehudit Aperstein 38 4 0 07 Jan 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options Hyeong Kyu Choi Weijie Xu Chi Xue Stephanie Eckman Chandan K. Reddy 44 1 0 27 Sep 2024
The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov Kushal Tirumala Hassan Shapourian Paolo Glorioso Daniel A. Roberts 59 85 0 26 Mar 2024
D-Score: A Synapse-Inspired Approach for Filter Pruning Doyoung Park Jinsoo Kim Ji-Min Nam Jooyoung Chang S. Park 22 0 0 08 Aug 2023
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models Seungcheol Park Ho-Jin Choi U. Kang VLM 49 5 0 07 Aug 2023
Digital Modeling on Large Kernel Metamaterial Neural Network Quan Liu Hanyu Zheng Brandon T. Swartz Ho Hin Lee Zuhayr Asad I. Kravchenko Jason G Valentine Yuankai Huo 20 4 0 21 Jul 2023
Accelerating Distributed ML Training via Selective Synchronization S. Tyagi Martin Swany FedML 52 3 0 16 Jul 2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning Jun Chen Shipeng Bai Tianxin Huang Mengmeng Wang Guanzhong Tian Y. Liu MQ 44 18 0 02 Jul 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 28 4 0 11 Apr 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 39 10 0 20 Feb 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 31 33 0 07 Feb 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 26 1 0 15 Jan 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 44 17 0 15 Nov 2022
Pruning Very Deep Neural Network Channels for Efficient Inference Yihui He 35 1 0 14 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Yue Liu Dusit Niyato 52 42 0 07 Nov 2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification Yihe Lu Maoguo Gong Wei Zhao Kaiyuan Feng Hao Li VLM 29 0 0 09 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 30 126 0 27 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 47 9 0 08 Jul 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization Peng Hu Xi Peng Erik Cambria M. Aly Jie Lin MQ 57 60 0 23 May 2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution Zheyu Li Yingqi Liu Xiangyu Chen Haoming Cai Jinjin Gu Yu Qiao Chao Dong 35 132 0 12 May 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 27 18 0 09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 49 48 0 09 Mar 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation Konstantin Ditschuneit Johannes Otterbach 21 5 0 26 Jan 2022
Iterative Activation-based Structured Pruning Kaiqi Zhao Animesh Jain Ming Zhao 42 0 0 22 Jan 2022
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer Kaiqi Zhao Yitao Chen Ming Zhao 27 3 0 22 Jan 2022
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 22 2 0 03 Nov 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong UQCV MLT 31 13 0 12 Oct 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 33 15 0 30 Sep 2021
$On the Compression of Neural Networks Using $\ell_0$-Norm Regularization and Weight Pruning$ On the Compression of Neural Networks Using $\ell_0$ -Norm Regularization and Weight Pruning F. Oliveira E. Batista R. Seara 20 9 0 10 Sep 2021
Stealthy Backdoors as Compression Artifacts Yulong Tian Fnu Suya Fengyuan Xu David Evans 40 22 0 30 Apr 2021
Post-training deep neural network pruning via layer-wise calibration Ivan Lazarevich Alexander Kozlov Nikita Malinin 3DPC 21 25 0 30 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 678 0 24 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 102 0 18 Jan 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 Mohamed Bennai BDL 64 141 0 21 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 31 25 0 20 Nov 2020
Layer-Wise Data-Free CNN Compression Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 24 17 0 18 Nov 2020
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet Lorenzo Valerio F. M. Nardini A. Passarella R. Perego 25 12 0 17 Nov 2020
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Training Sparse Neural Networks using Compressed Sensing Jonathan W. Siegel Jianhong Chen Pengchuan Zhang Jinchao Xu 31 5 0 21 Aug 2020
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks Muhammad Sabih Frank Hannig J. Teich MQ 14 22 0 20 Aug 2020
Compression of Deep Learning Models for Text: A Survey Manish Gupta Puneet Agrawal VLM MedIm AI4CE 22 115 0 12 Aug 2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification P. Ashok Vahid Hashemi Jan Křetínský S. Mohr 19 49 0 24 Jun 2020
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 19 9 0 23 Jun 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 30 52 0 08 May 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 26 55 0 21 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 61 459 0 31 Mar 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye Yixin Ji Xinchao Wang Xin Gao Xiuming Zhang 29 53 0 20 Mar 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets Thu Dinh Bao Wang Andrea L. Bertozzi Stanley J. Osher AAML 14 16 0 02 Mar 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming M. Elaraby Guy Wolf Margarida Carvalho 26 5 0 17 Feb 2020