Recovering from Random Pruning: On the Plasticity of Deep Convolutional
Neural Networks

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks

31 January 2018

Mitesh M. Khapra

Balaraman Ravindran

Papers citing "Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks"

12 / 12 papers shown

Title
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network Zhongzhi Li Yunmei Zhao Jinyi Ma J. Ai Yiqun Dong 18 2 0 27 Jul 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 24 81 0 11 May 2022
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang D. Mocanu 37 111 0 19 Jun 2021
FrostNet: Towards Quantization-Aware Network Architecture Search Taehoon Kim Y. Yoo Jihoon Yang MQ 22 2 0 17 Jun 2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks Sourjya Roy Priyadarshini Panda G. Srinivasan A. Raghunathan 3DPC VLM 16 19 0 05 Mar 2020
Reducing Transformer Depth on Demand with Structured Dropout Angela Fan Edouard Grave Armand Joulin 43 584 0 25 Sep 2019
Efficient Video Classification Using Fewer Frames S. Bhardwaj Mukundhan Srinivasan Mitesh M. Khapra 40 88 0 27 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 31 307 0 15 Feb 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,449 0 11 Oct 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks Andrea Zunino Sarah Adel Bargal Pietro Morerio Jianming Zhang Stan Sclaroff Vittorio Murino 21 23 0 23 May 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 29 51 0 02 Feb 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017