ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.07365
  4. Cited By
Learning to Prune Filters in Convolutional Neural Networks

Learning to Prune Filters in Convolutional Neural Networks

23 January 2018
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
    VLM
ArXivPDFHTML

Papers citing "Learning to Prune Filters in Convolutional Neural Networks"

50 / 75 papers shown
Title
Holistic Adversarially Robust Pruning
Holistic Adversarially Robust Pruning
Qi Zhao
Christian Wressnegger
77
8
0
19 Dec 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and
  Alignment
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
36
5
0
28 Mar 2024
Pruning Convolutional Filters via Reinforcement Learning with Entropy
  Minimization
Pruning Convolutional Filters via Reinforcement Learning with Entropy Minimization
Bogdan Musat
Razvan Andonie
13
0
0
08 Dec 2023
A Masked Pruning Approach for Dimensionality Reduction in
  Communication-Efficient Federated Learning Systems
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems
Tamir L. S. Gez
Kobi Cohen
24
2
0
06 Dec 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
26
2
0
14 Aug 2023
UPSCALE: Unconstrained Channel Pruning
UPSCALE: Unconstrained Channel Pruning
Alvin Wan
Hanxiang Hao
K. Patnaik
Yueyang Xu
Omer Hadad
David Guera
Zhile Ren
Qi Shan
23
4
0
17 Jul 2023
Systematic Investigation of Sparse Perturbed Sharpness-Aware
  Minimization Optimizer
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer
Peng Mi
Li Shen
Tianhe Ren
Yiyi Zhou
Tianshuo Xu
Xiaoshuai Sun
Tongliang Liu
Rongrong Ji
Dacheng Tao
AAML
33
2
0
30 Jun 2023
Learning Activation Functions for Sparse Neural Networks
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni
Aditya Mohan
Mehdi Asadi
Marius Lindauer
21
4
0
18 May 2023
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
Lin Zhao
Haixing Dai
Zihao Wu
Dajiang Zhu
Tianming Liu
30
1
0
27 Mar 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
21
2
0
22 Mar 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
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
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
52
14
0
08 Dec 2022
Real-Time Online Skeleton Extraction and Gesture Recognition on Pepper
Real-Time Online Skeleton Extraction and Gesture Recognition on Pepper
Axel Lefrant
Jean-Marc Montanier
SLR
17
0
0
22 Jun 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Min-man Wu
Alvin Chan
Xiaoli Li
Yew-Soon Ong
14
6
0
08 May 2022
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
Marcin Pietroñ
Dominik Zurek
19
13
0
28 Dec 2021
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Yun-qiang Li
S. Pintea
J. C. V. Gemert
MQ
38
15
0
02 Dec 2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu
Baopu Li
Zhen Chen
Yixuan Yuan
FAtt
8
9
0
24 Oct 2021
Evolving Transferable Neural Pruning Functions
Evolving Transferable Neural Pruning Functions
Yuchen Liu
S. Kung
D. Wentzlaff
24
1
0
21 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for
  Efficient Distillation
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati
Mohammad Mahdi Kamani
Zhongwei Cheng
Lin Chen
19
4
0
19 Oct 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep
  and Complicated CNN
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
Xiaohan Ding
Tianxiang Hao
Jungong Han
Yuchen Guo
Guiguang Ding
13
11
0
30 Jul 2021
Tight Compression: Compressing CNN Through Fine-Grained Pruning and
  Weight Permutation for Efficient Implementation
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
Xizi Chen
Jingyang Zhu
Jingbo Jiang
Chi-Ying Tsui
13
11
0
03 Apr 2021
Convolutional Neural Network Simplification with Progressive Retraining
Convolutional Neural Network Simplification with Progressive Retraining
D. Osaku
J. Gomes
A. X. Falcão
13
3
0
12 Jan 2021
L2PF -- Learning to Prune Faster
L2PF -- Learning to Prune Faster
M. Vemparala
Nael Fasfous
Alexander Frickenstein
Mhd Ali Moraly
Aquib Jamal
Lukas Frickenstein
C. Unger
N. S. Nagaraja
W. Stechele
VLM
11
3
0
07 Jan 2021
The Role of Regularization in Shaping Weight and Node Pruning Dependency
  and Dynamics
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
Yael Ben-Guigui
Jacob Goldberger
Tammy Riklin-Raviv
23
0
0
07 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
26
25
0
20 Nov 2020
Effective Model Compression via Stage-wise Pruning
Effective Model Compression via Stage-wise Pruning
Mingyang Zhang
Xinyi Yu
Jingtao Rong
L. Ou
SyDa
13
1
0
10 Nov 2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep
  Convolutional Neural Networks
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Kakeru Mitsuno
Takio Kurita
6
6
0
04 Nov 2020
Methods for Pruning Deep Neural Networks
Methods for Pruning Deep Neural Networks
S. Vadera
Salem Ameen
3DPC
16
122
0
31 Oct 2020
Holistic Filter Pruning for Efficient Deep Neural Networks
Holistic Filter Pruning for Efficient Deep Neural Networks
Lukas Enderich
Fabian Timm
Wolfram Burgard
18
7
0
17 Sep 2020
Cascaded channel pruning using hierarchical self-distillation
Cascaded channel pruning using hierarchical self-distillation
Roy Miles
K. Mikolajczyk
11
7
0
16 Aug 2020
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient
  Convolutional Neural Networks
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks
Alexander Frickenstein
M. Vemparala
Nael Fasfous
Laura Hauenschild
N. S. Nagaraja
C. Unger
W. Stechele
23
5
0
27 Jul 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
Xinghao Chen
Yiman Zhang
Yunhe Wang
VLM
19
15
0
16 Jul 2020
Gradient-only line searches to automatically determine learning rates
  for a variety of stochastic training algorithms
Gradient-only line searches to automatically determine learning rates for a variety of stochastic training algorithms
D. Kafka
D. Wilke
ODL
20
0
0
29 Jun 2020
Making Convolutions Resilient via Algorithm-Based Error Detection
  Techniques
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques
S. Hari
Michael B. Sullivan
Timothy Tsai
S. Keckler
21
66
0
08 Jun 2020
Distillation of neural network models for detection and description of
  key points of images
Distillation of neural network models for detection and description of key points of images
A. V. Yashchenko
A. Belikov
M. Peterson
A. Potapov
9
2
0
18 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
Kunster -- AR Art Video Maker -- Real time video neural style transfer
  on mobile devices
Kunster -- AR Art Video Maker -- Real time video neural style transfer on mobile devices
Wojciech Dudzik
Damian Kosowski
11
4
0
07 May 2020
Stage-Wise Neural Architecture Search
Stage-Wise Neural Architecture Search
Artur Jordão
Fernando Akio
M. Lie
William Robson Schwartz
11
0
0
23 Apr 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network
  Acceleration
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi
Jianfeng Xu
K. Tasaka
Zhibo Chen
4
25
0
12 Mar 2020
Retrain or not retrain? -- efficient pruning methods of deep CNN
  networks
Retrain or not retrain? -- efficient pruning methods of deep CNN networks
Marcin Pietroñ
Maciej Wielgosz
CVBM
6
17
0
12 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN
  Accelerators
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Zhanhong Tan
Jiebo Song
Xiaolong Ma
S. Tan
Hongyang Chen
...
Yifu Wu
Shaokai Ye
Yanzhi Wang
Dehui Li
Kaisheng Ma
27
24
0
11 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation
Convolutional Neural Network Pruning Using Filter Attenuation
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
3DPC
11
3
0
09 Feb 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
3DPC
11
18
0
13 Jan 2020
Graph Pruning for Model Compression
Graph Pruning for Model Compression
Mingyang Zhang
Xinyi Yu
Jingtao Rong
L. Ou
GNN
25
9
0
22 Nov 2019
Fine-Grained Neural Architecture Search
Fine-Grained Neural Architecture Search
Heewon Kim
Seokil Hong
Bohyung Han
Heesoo Myeong
Kyoung Mu Lee
AI4CE
14
13
0
18 Nov 2019
Efficient Hardware Implementation of Incremental Learning and Inference
  on Chip
Efficient Hardware Implementation of Incremental Learning and Inference on Chip
G. B. Hacene
Vincent Gripon
Nicolas Farrugia
M. Arzel
M. Jézéquel
BDL
6
4
0
18 Nov 2019
Provable Filter Pruning for Efficient Neural Networks
Provable Filter Pruning for Efficient Neural Networks
Lucas Liebenwein
Cenk Baykal
Harry Lang
Dan Feldman
Daniela Rus
VLM
3DPC
13
140
0
18 Nov 2019
Deep geometric knowledge distillation with graphs
Deep geometric knowledge distillation with graphs
Carlos Lassance
Myriam Bontonou
G. B. Hacene
Vincent Gripon
Jian Tang
Antonio Ortega
14
39
0
08 Nov 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters
  (DeCEF)
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)
Yinan Yu
Samuel Scheidegger
T. McKelvey
6
2
0
21 Oct 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
19
28
0
27 Aug 2019
12
Next