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Rethinking the Value of Network Pruning

11 October 2018

Gao Huang

Papers citing "Rethinking the Value of Network Pruning"

50 / 757 papers shown

Title
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning Donggeun Yoon Jinsun Park Donghyeon Cho 60 1 0 14 Oct 2022
Structural Pruning via Latency-Saliency Knapsack Maying Shen Hongxu Yin Pavlo Molchanov Lei Mao Jianna Liu J. Álvarez 102 50 0 13 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 109 51 0 13 Oct 2022
Pruning Adversarially Robust Neural Networks without Adversarial Examples T. Jian Zifeng Wang Yanzhi Wang Jennifer Dy Stratis Ioannidis AAML VLM 71 13 0 09 Oct 2022
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 103 10 0 07 Oct 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning Weicong Liang Yuhui Yuan Henghui Ding Xiao Luo Weihong Lin Ding Jia Zheng Zhang Chao Zhang Hanhua Hu 117 31 0 03 Oct 2022
EAPruning: Evolutionary Pruning for Vision Transformers and CNNs Qingyuan Li Bo Zhang Xiangxiang Chu ViT VLM 53 3 0 01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 69 8 0 01 Oct 2022
Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 48 6 0 29 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 98 43 0 29 Sep 2022
Neural Network Panning: Screening the Optimal Sparse Network Before Training Xiatao Kang P. Li Jiayi Yao Chengxi Li VLM 50 1 0 27 Sep 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 70 29 0 20 Sep 2022
Improving the Performance of DNN-based Software Services using Automated Layer Caching M. Abedi Yanni Iouannou Pooyan Jamshidi Hadi Hemmati 68 0 0 18 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 80 23 0 18 Sep 2022
Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask Sheng-Chun Kao Amir Yazdanbakhsh Suvinay Subramanian Shivani Agrawal Utku Evci T. Krishna 128 12 0 15 Sep 2022
One-shot Network Pruning at Initialization with Discriminative Image Patches Yinan Yang Yu Wang Yi Ji Heng Qi Jien Kato VLM 94 4 0 13 Sep 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 103 24 0 11 Sep 2022
The Role Of Biology In Deep Learning Robert Bain 60 0 0 07 Sep 2022
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge Sara Babakniya Souvik Kundu Saurav Prakash Yue Niu Salman Avestimehr FedML 96 12 0 27 Aug 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 78 29 0 26 Aug 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI Muhammad Zawish Steven Davy L. Abraham 88 16 0 26 Aug 2022
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 73 0 0 24 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 127 3 0 22 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 76 2 0 18 Aug 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks Yihe Lu Ziyu Guan Yaming Yang Maoguo Gong Wei Zhao Kaiyuan Feng 86 3 0 13 Aug 2022
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs Yancheng Li Qingzhong Ai Fumihiko Ino 69 0 0 29 Jul 2022
Trainability Preserving Neural Pruning Huan Wang Yun Fu AAML 70 17 0 25 Jul 2022
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network Zhongzhan Huang Senwei Liang Mingfu Liang Wei He Haizhao Yang Liang Lin 72 9 0 16 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks H. Mousavi Mohammad Loni Mina Alibeigi Masoud Daneshtalab 80 11 0 14 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning Chong Min John Tan Mehul Motani 69 57 0 14 Jul 2022
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing S. J. Anushri Suresh Nisha J.S. V. Gopi VLM 99 6 0 13 Jul 2022
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation Lin Bai Yiming Zhao Xinming Huang 3DPC 46 3 0 12 Jul 2022
Pruning Early Exit Networks Alperen Görmez Erdem Koyuncu 43 5 0 08 Jul 2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks Yongming Rao Zuyan Liu Wenliang Zhao Jie Zhou Jiwen Lu ViT 86 38 0 04 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 133 48 0 04 Jul 2022
Training Your Sparse Neural Network Better with Any Mask Ajay Jaiswal Haoyu Ma Tianlong Chen Ying Ding Zhangyang Wang CVBM 137 36 0 26 Jun 2022
The State of Sparse Training in Deep Reinforcement Learning L. Graesser Utku Evci Erich Elsen Pablo Samuel Castro OffRL 77 40 0 17 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 140 28 0 17 Jun 2022
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches Zhimin Li Shusen Liu Xin Yu Kailkhura Bhavya Jie Cao Diffenderfer James Daniel P. Bremer Valerio Pascucci AAML 98 1 0 16 Jun 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel David Bertrand T. Hannagan GNN SSeg 3DPC 66 2 0 13 Jun 2022
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition Shunquan Tan Qiushi Li Laiyuan Li Bin Li Jiwu Huang 41 5 0 12 Jun 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training Tianlong Chen Zhenyu Zhang Sijia Liu Yang Zhang Shiyu Chang Zhangyang Wang AAML 74 8 0 09 Jun 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 112 34 0 09 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 69 117 0 01 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 109 125 0 29 May 2022
Compression-aware Training of Neural Networks using Frank-Wolfe Max Zimmer Christoph Spiegel Sebastian Pokutta 95 11 0 24 May 2022
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression M. Deutel Philipp Woller Christopher Mutschler Jürgen Teich 113 4 0 20 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 247 114 0 19 May 2022
Is explainable AI a race against model complexity? Advait Sarkar LRM 100 15 0 17 May 2022
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey Paul Wimmer Jens Mehnert Alexandru Paul Condurache DD 98 21 0 17 May 2022