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

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

18 November 2017
A. Gordon
Elad Eban
Ofir Nachum
Bo Chen
Hao Wu
Tien-Ju Yang
E. Choi
ArXivPDFHTML

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

45 / 45 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
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
30
0
0
21 Feb 2024
Accelerating Convolutional Neural Network Pruning via Spatial Aura
  Entropy
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
Bogdan Musat
Razvan Andonie
13
0
0
08 Dec 2023
Systematic Architectural Design of Scale Transformed Attention Condenser
  DNNs via Multi-Scale Class Representational Response Similarity Analysis
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
Andrew Hryniowski
Alexander Wong
16
0
0
16 Jun 2023
Lightweight Neural Architecture Search for Temporal Convolutional
  Networks at the Edge
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Matteo Risso
Alessio Burrello
Francesco Conti
Lorenzo Lamberti
Yukai Chen
Luca Benini
Enrico Macii
M. Poncino
Daniele Jahier Pagliari
22
33
0
24 Jan 2023
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
Shen Zheng
Yi Ma
Jinqian Pan
Chang-Tien Lu
Gaurav Gupta
29
21
0
21 Dec 2022
MGiaD: Multigrid in all dimensions. Efficiency and robustness by
  coarsening in resolution and channel dimensions
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
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
Rahul Mishra
Hari Prabhat Gupta
27
8
0
30 Sep 2022
Uncertainty Quantification and Resource-Demanding Computer Vision
  Applications of Deep Learning
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
23
0
0
30 May 2022
Scientometric Review of Artificial Intelligence for Operations &
  Maintenance of Wind Turbines: The Past, Present and Future
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future
Joyjit Chatterjee
Nina Dethlefs
26
83
0
30 Mar 2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for
  Temporal Convolutional Networks
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
Francesco Conti
Lorenzo Lamberti
Enrico Macii
Luca Benini
M. Poncino
21
10
0
28 Mar 2022
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
Matteo Risso
Alessio Burrello
Daniele Jahier Pagliari
Simone Benatti
Enrico Macii
Luca Benini
M. Poncino
9
26
0
28 Mar 2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable
  Devices
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices
Alessio Burrello
Daniele Jahier Pagliari
Matteo Risso
Simone Benatti
Enrico Macii
Luca Benini
M. Poncino
16
41
0
24 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
22
17
0
09 Mar 2022
Lightweight Jet Reconstruction and Identification as an Object Detection
  Task
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
19
2
0
09 Feb 2022
The Ecological Footprint of Neural Machine Translation Systems
The Ecological Footprint of Neural Machine Translation Systems
D. Shterionov
Eva Vanmassenhove
29
3
0
04 Feb 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through
  Rate Prediction Models via Ensemble of Gating Layers
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
16
1
0
07 Dec 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
13
18
0
15 Oct 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
38
19
0
28 Aug 2021
Dynamic Neural Network Architectural and Topological Adaptation and
  Related Methods -- A Survey
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
32
0
0
28 Jul 2021
Bias Loss for Mobile Neural Networks
Bias Loss for Mobile Neural Networks
L. Abrahamyan
Valentin Ziatchin
Yiming Chen
Nikos Deligiannis
13
14
0
23 Jul 2021
Compact CNN Structure Learning by Knowledge Distillation
Compact CNN Structure Learning by Knowledge Distillation
Waqar Ahmed
Andrea Zunino
Pietro Morerio
Vittorio Murino
27
5
0
19 Apr 2021
Learned Gradient Compression for Distributed Deep Learning
Learned Gradient Compression for Distributed Deep Learning
L. Abrahamyan
Yiming Chen
Giannis Bekoulis
Nikos Deligiannis
32
45
0
16 Mar 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
45
21
0
09 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
673
0
24 Jan 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
26
95
0
22 Jan 2021
Auto Graph Encoder-Decoder for Neural Network Pruning
Auto Graph Encoder-Decoder for Neural Network Pruning
Sixing Yu
Arya Mazaheri
Ali Jannesari
GNN
19
38
0
25 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
27
3
0
10 Nov 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
31
27
0
13 Jul 2020
Single Shot Structured Pruning Before Training
Single Shot Structured Pruning Before Training
Joost R. van Amersfoort
Milad Alizadeh
Sebastian Farquhar
Nicholas D. Lane
Y. Gal
16
22
0
01 Jul 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of
  Quality and Latency
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
32
22
0
27 Apr 2020
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei
Yingwei Li
Xiaochen Lian
Xiaojie Jin
Linjie Yang
Alan Yuille
Jianchao Yang
14
107
0
20 Dec 2019
Fast Sparse ConvNets
Fast Sparse ConvNets
Erich Elsen
Marat Dukhan
Trevor Gale
Karen Simonyan
10
151
0
21 Nov 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
33
20
0
07 Oct 2019
RNN Architecture Learning with Sparse Regularization
RNN Architecture Learning with Sparse Regularization
Jesse Dodge
Roy Schwartz
Hao Peng
Noah A. Smith
20
10
0
06 Sep 2019
On-Device Neural Net Inference with Mobile GPUs
On-Device Neural Net Inference with Mobile GPUs
Juhyun Lee
Nikolay Chirkov
Ekaterina Ignasheva
Yury Pisarchyk
Mogan Shieh
F. Riccardi
Raman Sarokin
Andrei Kulik
Matthias Grundmann
BDL
25
88
0
03 Jul 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
16
6
0
12 Jun 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
31
15
0
11 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
19
879
0
30 Apr 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
13
170
0
28 Apr 2019
Structured Pruning of Neural Networks with Budget-Aware Regularization
Structured Pruning of Neural Networks with Budget-Aware Regularization
Carl Lemaire
Andrew Achkar
Pierre-Marc Jodoin
22
92
0
23 Nov 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
8
1,449
0
11 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization
Hardware-Aware Machine Learning: Modeling and Optimization
Diana Marculescu
Dimitrios Stamoulis
E. Cai
8
45
0
14 Sep 2018
Efficient Neural Audio Synthesis
Efficient Neural Audio Synthesis
Nal Kalchbrenner
Erich Elsen
Karen Simonyan
Seb Noury
Norman Casagrande
Edward Lockhart
Florian Stimberg
Aaron van den Oord
Sander Dieleman
Koray Kavukcuoglu
21
863
0
23 Feb 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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