Provable Filter Pruning for Efficient Neural Networks

18 November 2019

Daniela Rus

Papers citing "Provable Filter Pruning for Efficient Neural Networks"

36 / 36 papers shown

Title
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail R. Alkhouri Rongrong Wang 35 0 0 06 May 2024
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 31 0 0 19 Dec 2023
$Computing Approximate $\ell_p$ Sensitivities$ Computing Approximate $\ell_p$ Sensitivities Swati Padmanabhan David P. Woodruff Qiuyi Zhang 45 0 0 07 Nov 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy Bojue Wang Chun-Xia Ma Bin Liu Nianbo Liu Jinqi Zhu 22 1 0 10 Oct 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 27 2 0 13 Apr 2023
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 22 0 0 29 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 26 18 0 21 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions Kaiqi Zhao Animesh Jain Ming Zhao 19 9 0 14 Mar 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 23 9 0 09 Mar 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay G. Wang Jiahao Li Bin Li Yan Lu 22 63 0 10 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 9 1 0 26 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 34 7 0 19 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 32 20 0 12 Jan 2023
Pruning by Active Attention Manipulation Z. Babaiee Lucas Liebenwein Ramin Hasani Daniela Rus Radu Grosu 19 0 0 20 Oct 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture Alaa Maalouf Yotam Gurfinkel Barak Diker O. Gal Daniela Rus Dan Feldman 13 5 0 21 Sep 2022
Dynamic Selection of Perception Models for Robotic Control Bineet Ghosh Masaad Khan Adithya S Ashok Sandeep Chinchali Parasara Sridhar Duggirala 32 1 0 13 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard Yvinec Arnaud Dapogny Matthieu Cord Kévin Bailly 40 9 0 08 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 26 11 0 07 Jun 2022
Revisiting Random Channel Pruning for Neural Network Compression Yawei Li Kamil Adamczewski Wen Li Shuhang Gu Radu Timofte Luc Van Gool 21 81 0 11 May 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 18 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 36 48 0 09 Mar 2022
Obstacle Aware Sampling for Path Planning M. Tukan Alaa Maalouf Dan Feldman Roi Poranne 18 8 0 08 Mar 2022
GhostNets on Heterogeneous Devices via Cheap Operations Kai Han Yunhe Wang Chang Xu Jianyuan Guo Chunjing Xu Enhua Wu Qi Tian 19 102 0 10 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 19 43 0 18 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 19 1 0 29 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 29 46 0 10 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure Zhuangzhi Chen Jingyang Xiang Yao Lu Qi Xuan Xiaoniu Yang 23 1 0 28 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 22 128 0 26 Oct 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 21 13 0 12 Oct 2021
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency Bineet Ghosh Sandeep Chinchali Parasara Sridhar Duggirala 21 3 0 03 Aug 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 18 16 0 24 Jun 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 26 3 0 06 Apr 2021
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions Simon Schaefer Karen Leung B. Ivanovic Marco Pavone 22 25 0 02 Dec 2020
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks Enzo Tartaglione Andrea Bragagnolo A. Fiandrotti Marco Grangetto ODL UQCV 13 34 0 16 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 41 166 0 21 Oct 2020
On Coresets for Support Vector Machines M. Tukan Cenk Baykal Dan Feldman Daniela Rus 16 27 0 15 Feb 2020