Pruning Filters for Efficient ConvNets

31 August 2016

Hao Li

Papers citing "Pruning Filters for Efficient ConvNets"

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Title
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data Mao Ye Dhruv Choudhary Jiecao Yu Ellie Wen Zeliang Chen Jiyan Yang Jongsoo Park Qiang Liu A. Kejariwal 29 9 0 16 Oct 2020
Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed Dong Li Sitong Chen Xudong Liu Yunda Sun Li Lyna Zhang VLM 26 4 0 14 Oct 2020
Coarse and fine-grained automatic cropping deep convolutional neural network Jingfei Chang 27 0 0 13 Oct 2020
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification Yulin Wang Kangchen Lv Rui Huang Shiji Song Le Yang Gao Huang 3DH 16 148 0 11 Oct 2020
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework Wenxiao Wang Minghao Chen Shuai Zhao Long Chen Jinming Hu Haifeng Liu Deng Cai Xiaofei He Wei Liu 35 58 0 10 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer Mahdi Ghorbani Fahimeh Fooladgar S. Kasaei AAML 39 0 0 09 Oct 2020
Comprehensive Online Network Pruning via Learnable Scaling Factors Muhammad Umair Haider M. Taj 29 7 0 06 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong Yigitcan Kaya Ionut-Vlad Modoranu Tudor Dumitras AAML 17 69 0 06 Oct 2020
Winning Lottery Tickets in Deep Generative Models Neha Kalibhat Yogesh Balaji S. Feizi WIGM 31 42 0 05 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 53 88 0 05 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks Po-Hsiang Yu Sih-Sian Wu Jan P. Klopp Liang-Gee Chen Shao-Yi Chien MQ 35 14 0 05 Oct 2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration Jingfei Chang Yang Lu Ping Xue Xing Wei Zhen Wei 22 2 0 03 Oct 2020
Improving Network Slimming with Nonconvex Regularization Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 21 9 0 03 Oct 2020
Pruning Filter in Filter Fanxu Meng Hao Cheng Ke Li Huixiang Luo Xiao-Wei Guo Guangming Lu Xing Sun VLM 32 104 0 30 Sep 2020
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 Sep 2020
Grow-Push-Prune: aligning deep discriminants for effective structural network compression Qing Tian Tal Arbel James J. Clark 22 8 0 29 Sep 2020
A Gradient Flow Framework For Analyzing Network Pruning Ekdeep Singh Lubana Robert P. Dick 34 52 0 24 Sep 2020
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training Dingqing Yang Amin Ghasemazar X. Ren Maximilian Golub G. Lemieux Mieszko Lis 22 48 0 23 Sep 2020
Pruning Convolutional Filters using Batch Bridgeout Najeeb Khan Ian Stavness 28 3 0 23 Sep 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot Jingtong Su Yihang Chen Tianle Cai Tianhao Wu Ruiqi Gao Liwei Wang Jason D. Lee 21 85 0 22 Sep 2020
PP-OCR: A Practical Ultra Lightweight OCR System Yuning Du Chenxia Li Ruoyu Guo Xiaoting Yin Weiwei Liu ... Yifan Bai Zilin Yu Yehua Yang Qingqing Dang Hongya Wang 36 178 0 21 Sep 2020
Pruning Neural Networks at Initialization: Why are We Missing the Mark? Jonathan Frankle Gintare Karolina Dziugaite Daniel M. Roy Michael Carbin 30 238 0 18 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 33 63 0 17 Sep 2020
Holistic Filter Pruning for Efficient Deep Neural Networks Lukas Enderich Fabian Timm Wolfram Burgard 32 7 0 17 Sep 2020
A Progressive Sub-Network Searching Framework for Dynamic Inference Li Yang Zhezhi He Yu Cao Deliang Fan AI4CE 20 6 0 11 Sep 2020
Achieving Adversarial Robustness via Sparsity Shu-Fan Wang Ningyi Liao Liyao Xiang Nanyang Ye Quanshi Zhang AAML 22 15 0 11 Sep 2020
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks Yuke Wang Boyuan Feng Xueqiao Peng Yufei Ding 3DV 24 1 0 11 Sep 2020
Extending Label Smoothing Regularization with Self-Knowledge Distillation Jiyue Wang Pei Zhang Wenjie Pang Jie Li 14 0 0 11 Sep 2020
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 25 437 0 10 Sep 2020
OrthoReg: Robust Network Pruning Using Orthonormality Regularization Ekdeep Singh Lubana Puja Trivedi C. Hougen Robert P. Dick Alfred Hero 37 1 0 10 Sep 2020
Prune Responsibly Michela Paganini VLM 27 21 0 10 Sep 2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective Seonguk Park Kiyoon Yoo Nojun Kwak FedML 26 3 0 09 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 31 47 0 08 Sep 2020
FlipOut: Uncovering Redundant Weights via Sign Flipping A. Apostol M. Stol Patrick Forré UQCV 12 1 0 05 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu 14 9 0 04 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology Jaeseong Lee Duseok Kang S. Ha 35 10 0 04 Sep 2020
It's Hard for Neural Networks To Learn the Game of Life Jacob Mitchell Springer Garrett Kenyon 27 21 0 03 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 36 69 0 02 Sep 2020
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach Malena Reiners K. Klamroth Michael Stiglmayr 22 17 0 31 Aug 2020
HALO: Learning to Prune Neural Networks with Shrinkage Skyler Seto M. Wells Wenyu Zhang 24 0 0 24 Aug 2020
One Weight Bitwidth to Rule Them All Ting-Wu Chin P. Chuang Vikas Chandra Diana Marculescu MQ 28 25 0 22 Aug 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
Data-Independent Structured Pruning of Neural Networks via Coresets Ben Mussay Dan Feldman Samson Zhou Vladimir Braverman Margarita Osadchy 26 25 0 19 Aug 2020
Cascaded channel pruning using hierarchical self-distillation Roy Miles K. Mikolajczyk 24 7 0 16 Aug 2020
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency Fuxun Yu Chenchen Liu Di Wang Yanzhi Wang Xiang Chen 16 7 0 14 Aug 2020
FATNN: Fast and Accurate Ternary Neural Networks Peng Chen Bohan Zhuang Chunhua Shen MQ 6 15 0 12 Aug 2020
RARTS: An Efficient First-Order Relaxed Architecture Search Method Fanghui Xue Y. Qi Jack Xin 27 1 0 10 Aug 2020
Structured Convolutions for Efficient Neural Network Design Yash Bhalgat Yizhe Zhang J. Lin Fatih Porikli 16 8 0 06 Aug 2020