MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

18 November 2017

Papers citing "MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks"

50 / 71 papers shown

Title
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets Antonia van Betteray Matthias Rottmann Karsten Kahl 51 0 0 13 Mar 2025
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment Hongtao Huang Xiaojun Chang Wen Hu Lina Yao 35 0 0 21 Feb 2024
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy Bogdan Musat Razvan Andonie 26 0 0 08 Dec 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 23 0 0 16 Jun 2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs Elia Cereda Luca Crupi Matteo Risso Luca Bompani Luca Benini Alessandro Giusti Daniele Jahier Pagliari Daniele Palossi 32 4 0 03 Mar 2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge Matteo Risso Luca Bompani Francesco Conti Lorenzo Lamberti Yukai Chen Luca Benini Enrico Macii M. Poncino Daniele Jahier Pagliari 30 33 0 24 Jan 2023
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond Shen Zheng Yi Ma Jinqian Pan Chang-Tien Lu Gaurav Gupta 34 21 0 21 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field Models H. Sahbi 32 0 0 19 Dec 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions Antonia van Betteray Matthias Rottmann Karsten Kahl 31 2 0 10 Nov 2022
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation Rahul Mishra Hari Prabhat Gupta 45 8 0 30 Sep 2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks Matteo Risso Luca Bompani Luca Benini Enrico Macii M. Poncino Daniele Jahier Pagliari 20 3 0 01 Jun 2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 34 0 0 30 May 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 34 83 0 30 Mar 2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks Matteo Risso Luca Bompani Daniele Jahier Pagliari Francesco Conti Lorenzo Lamberti Enrico Macii Luca Benini M. Poncino 29 10 0 28 Mar 2022
Robust and Energy-efficient PPG-based Heart-Rate Monitoring Matteo Risso Luca Bompani Daniele Jahier Pagliari Simone Benatti Enrico Macii Luca Benini M. Poncino 11 26 0 28 Mar 2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices Luca Bompani Daniele Jahier Pagliari Matteo Risso Simone Benatti Enrico Macii Luca Benini M. Poncino 19 41 0 24 Mar 2022
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 31 17 0 09 Mar 2022
Lightweight Jet Reconstruction and Identification as an Object Detection Task Adrian Alan Pol T. Aarrestad E. Govorkova Roi Halily Anat Klempner ... Vladimir Loncar J. Ngadiuba M. Pierini Olya Sirkin S. Summers 32 2 0 09 Feb 2022
The Ecological Footprint of Neural Machine Translation Systems D. Shterionov Eva Vanmassenhove 40 3 0 04 Feb 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 27 1 0 07 Dec 2021
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 22 18 0 15 Oct 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 48 19 0 28 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 40 0 0 28 Jul 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 20 14 0 23 Jul 2021
Width Transfer: On the (In)variance of Width Optimization Ting-Wu Chin Diana Marculescu Ari S. Morcos 18 3 0 24 Apr 2021
Compact CNN Structure Learning by Knowledge Distillation Waqar Ahmed Andrea Zunino Pietro Morerio Vittorio Murino 38 5 0 19 Apr 2021
RetrievalFuse: Neural 3D Scene Reconstruction with a Database Yawar Siddiqui Justus Thies Fangchang Ma Qi Shan Matthias Nießner Pawan Goyal 3DV 16 35 0 31 Mar 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 40 46 0 16 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 49 21 0 09 Mar 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
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 34 98 0 22 Jan 2021
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 27 38 0 25 Nov 2020
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks Ting-Wu Chin Ari S. Morcos Diana Marculescu 26 10 0 23 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 41 27 0 13 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 27 22 0 01 Jul 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency Cheng-Ming Chiang Yu-Wen Tseng Yu-Syuan Xu Hsien-Kai Kuo Yi-Min Tsai ... Chia-Lin Yu B. Shen Kloze Kao Chia-Ming Cheng Hung-Jen Chen 35 22 0 27 Apr 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio Zhengsu Chen J. Niu Lingxi Xie Xuefeng Liu Longhui Wei Qi Tian 27 12 0 06 Apr 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation Xuefei Ning Tianchen Zhao Wenshuo Li Peng Lei Yu Wang Huazhong Yang 24 103 0 05 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning Yuan Gao Haoping Bai Zequn Jie Jiayi Ma Kui Jia Wei Liu 29 94 0 31 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 6 25 0 12 Mar 2020
How Does BN Increase Collapsed Neural Network Filters? Sheng Zhou Xinjiang Wang Ping Luo Xue Jiang Wenjie Li Wei Zhang 21 1 0 30 Jan 2020
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 19 107 0 20 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 30 21 0 13 Dec 2019
Fast Sparse ConvNets Erich Elsen Marat Dukhan Trevor Gale Karen Simonyan 21 151 0 21 Nov 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent Dilin Wang Meng Li Lemeng Wu Vikas Chandra Qiang Liu 46 20 0 07 Oct 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 57 600 0 03 Oct 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 18 162 0 27 Sep 2019
CARS: Continuous Evolution for Efficient Neural Architecture Search Zhaohui Yang Yunhe Wang Xinghao Chen Boxin Shi Chao Xu Chunjing Xu Qi Tian Chang Xu 15 224 0 11 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 24 15 0 10 Sep 2019