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Pruning Filters for Efficient ConvNets

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
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Papers citing "Pruning Filters for Efficient ConvNets"

50 / 386 papers shown
Title
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
Mamba
48
0
0
13 May 2025
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
Wenhao Hu
Paul Henderson
José Cano
25
0
0
12 May 2025
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang
Guoxin Wang
B. Cardiff
Deepu John
35
0
0
07 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
Lukas Meiner
Jens Mehnert
A. P. Condurache
MQ
39
0
0
06 May 2025
Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-off, and Model Performance Challenges
Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-off, and Model Performance Challenges
Yi Wang
Chengyv Wu
Yang Liao
Maowei You
AAML
34
0
0
30 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
Jiliang Ni
Jiachen Pu
Zhongyi Yang
Kun Zhou
Hui Wang
Xiaoliang Xiao
Dakui Wang
Xin Li
Jingfeng Luo
Conggang Hu
32
0
0
18 Apr 2025
Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
Angela Cratere
M. Salim Farissi
Andrea Carbone
Marcello Asciolla
Maria Rizzi
Francesco DellÓlio
Augusto Nascetti
Dario Spiller
28
1
0
04 Apr 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Reza Shirkavand
Peiran Yu
Shangqian Gao
Gowthami Somepalli
Tom Goldstein
Heng-Chiao Huang
113
1
0
13 Mar 2025
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
Antonia van Betteray
Matthias Rottmann
Karsten Kahl
48
0
0
13 Mar 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus
Youbing Hu
Yun Cheng
Zimu Zhou
Anqi Lu
Zhiqiang Cao
Zhijun Li
TTA
59
0
0
28 Feb 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
69
1
0
24 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang
Haris Šikić
Lothar Thiele
O. Saukh
44
0
0
17 Feb 2025
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Cuipeng Wang
Tieyuan Chen
Haipeng Wang
49
0
0
09 Feb 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency
Advancing Weight and Channel Sparsification with Enhanced Saliency
Xinglong Sun
Maying Shen
Hongxu Yin
Lei Mao
Pavlo Molchanov
Jose M. Alvarez
46
1
0
05 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb
T. Weber
Bernd Bischl
David Rügamer
102
0
0
04 Feb 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
Nikolaos Kaparinos
Vasileios Mezaris
CVBM
48
0
0
28 Jan 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro
Sophie M. Fosson
Andrea Migliorati
G. Calafiore
38
1
0
19 Jan 2025
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts
Danyal Aftab
Steven Davy
ALM
49
0
0
10 Jan 2025
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
Andy Li
A. Durrant
Milan Markovic
Lu Yin
Georgios Leontidis
Tianlong Chen
Lu Yin
Georgios Leontidis
65
0
0
20 Nov 2024
Improving DNN Modularization via Activation-Driven Training
Improving DNN Modularization via Activation-Driven Training
Tuan Ngo
Abid Hassan
Saad Shafiq
Nenad Medvidovic
MoMe
23
0
0
01 Nov 2024
Investigating the Effect of Network Pruning on Performance and Interpretability
Investigating the Effect of Network Pruning on Performance and Interpretability
Jonathan von Rad
Florian Seuffert
20
1
0
29 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and
  Sub-Network Selection
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
Alireza Ganjdanesh
Yan Kang
Yuchen Liu
Richard Y. Zhang
Zhe Lin
Heng Huang
DiffM
32
2
0
23 Sep 2024
MoDeGPT: Modular Decomposition for Large Language Model Compression
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin
Shangqian Gao
James Seale Smith
Abhishek Patel
Shikhar Tuli
Yilin Shen
Hongxia Jin
Yen-Chang Hsu
71
6
0
19 Aug 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
34
0
0
07 Aug 2024
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
41
1
0
19 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base
  Models for Vision Tasks
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang
S. Nirjon
24
0
0
13 Jul 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All
  Training
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
Aditya Annavajjala
Alind Khare
Animesh Agrawal
Igor Fedorov
Hugo Latapie
Myungjin Lee
Alexey Tumanov
CLL
31
0
0
08 Jul 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh
Reza Shirkavand
Shangqian Gao
Heng Huang
DiffM
VLM
48
4
0
17 Jun 2024
A Generic Layer Pruning Method for Signal Modulation Recognition Deep
  Learning Models
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
Yao Lu
Yutao Zhu
Yuqi Li
Dongwei Xu
Yun Lin
Qi Xuan
Xiaoniu Yang
23
5
0
12 Jun 2024
Locking Machine Learning Models into Hardware
Locking Machine Learning Models into Hardware
Eleanor Clifford
Adhithya Saravanan
Harry Langford
Cheng Zhang
Yiren Zhao
Robert D. Mullins
Ilia Shumailov
Jamie Hayes
23
0
0
31 May 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for
  Longitudinal Control
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
Jasper Hoffmann
Diego Fernandez Clausen
Julien Brosseit
Julian Bernhard
Klemens Esterle
M. Werling
Michael Karg
Joschka Boedecker
25
1
0
29 Apr 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at
  Initialization
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
Bailey J. Eccles
Leon Wong
Blesson Varghese
33
2
0
22 Apr 2024
Data-free Knowledge Distillation for Fine-grained Visual Categorization
Data-free Knowledge Distillation for Fine-grained Visual Categorization
Renrong Shao
Wei Zhang
Jianhua Yin
Jun Wang
31
2
0
18 Apr 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
27
3
0
10 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
Better Schedules for Low Precision Training of Deep Neural Networks
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe
Anastasios Kyrillidis
40
1
0
04 Mar 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
30
5
0
17 Jan 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine
  Tuning Pruned Subnetworks
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks
Tim Whitaker
Darrell Whitley
25
0
0
16 Jan 2024
Knowledge Translation: A New Pathway for Model Compression
Knowledge Translation: A New Pathway for Model Compression
Wujie Sun
Defang Chen
Jiawei Chen
Yan Feng
Chun-Yen Chen
Can Wang
23
0
0
11 Jan 2024
SCoTTi: Save Computation at Training Time with an adaptive framework
SCoTTi: Save Computation at Training Time with an adaptive framework
Ziyu Li
Enzo Tartaglione
Van-Tam Nguyen
31
0
0
19 Dec 2023
Accelerating Convolutional Neural Network Pruning via Spatial Aura
  Entropy
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
Bogdan Musat
Razvan Andonie
8
0
0
08 Dec 2023
Initializing Models with Larger Ones
Initializing Models with Larger Ones
Zhiqiu Xu
Yanjie Chen
Kirill Vishniakov
Yida Yin
Zhiqiang Shen
Trevor Darrell
Lingjie Liu
Zhuang Liu
28
17
0
30 Nov 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource
  Constraints
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Francesco Corti
Balz Maag
Joachim Schauer
U. Pferschy
O. Saukh
24
2
0
22 Nov 2023
AdaptiveFL: Adaptive Heterogeneous Federated Learning for
  Resource-Constrained AIoT Systems
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
Chentao Jia
Ming Hu
Zekai Chen
Yanxin Yang
Xiaofei Xie
Yang Liu
Mingsong Chen
14
6
0
22 Nov 2023
The Road to On-board Change Detection: A Lightweight Patch-Level Change
  Detection Network via Exploring the Potential of Pruning and Pooling
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
Lihui Xue
Zhihao Wang
Xueqian Wang
Gang Li
27
1
0
16 Oct 2023
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yu-xin Zhang
Lirui Zhao
Mingbao Lin
Yunyun Sun
Yiwu Yao
Xingjia Han
Jared Tanner
Shiwei Liu
Rongrong Ji
SyDa
37
40
0
13 Oct 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
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
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
26
4
0
28 Aug 2023
Deep learning-based denoising streamed from mobile phones improves
  speech-in-noise understanding for hearing aid users
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users
P. U. Diehl
Hannes Zilly
Felix Sattler
Y. Singer
Kevin Kepp
...
Paul Meyer-Rachner
A. Pudszuhn
V. Hofmann
M. Vormann
Elias Sprengel
29
3
0
22 Aug 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
32
38
0
20 Aug 2023
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