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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 / 1,579 papers shown
Title
Quantization without Tears
Quantization without Tears
Minghao Fu
Hao Yu
Jie Shao
Junjie Zhou
Ke Zhu
Jianxin Wu
MQ
64
1
0
21 Nov 2024
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
80
0
0
20 Nov 2024
Electrostatic Force Regularization for Neural Structured Pruning
Abdesselam Ferdi
A. Taleb-Ahmed
A. Nakib
Youcef Ferdi
76
1
0
17 Nov 2024
Complexity-Aware Training of Deep Neural Networks for Optimal Structure
  Discovery
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery
Valentin Frank Ingmar Guenter
Athanasios Sideris
CVBM
26
0
0
14 Nov 2024
Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS
  Cameras
Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras
Roberto Riaño
Gorka Abad
S. Picek
A. Urbieta
AAML
36
0
0
05 Nov 2024
Automatic Structured Pruning for Efficient Architecture in Federated
  Learning
Automatic Structured Pruning for Efficient Architecture in Federated Learning
Thai Vu Nguyen
Long Bao Le
Anderson Avila
FedML
26
0
0
04 Nov 2024
Decoupling Dark Knowledge via Block-wise Logit Distillation for
  Feature-level Alignment
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment
Chengting Yu
Fengzhao Zhang
Ruizhe Chen
Zuozhu Liu
Shurun Tan
Er-ping Li
Aili Wang
44
2
0
03 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
32
0
0
01 Nov 2024
Inducing Semi-Structured Sparsity by Masking for Efficient Model
  Inference in Convolutional Networks
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
David A. Danhofer
32
0
0
01 Nov 2024
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by
  Exploiting Temporal Continuity
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity
Kaidi Wang
Jieru Zhao
Shuo Yang
Wenchao Ding
Minyi Guo
30
0
0
28 Oct 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
Wu Junran
Chen Xueyuan
Li Shangzhe
33
1
0
27 Oct 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu
Dehua Tang
Ji Liu
Mingjie Lu
Jintu Zheng
...
Spandan Tiwari
Ashish Sirasao
Jun-Hai Yong
Bin Wang
E. Barsoum
DiffM
37
6
0
22 Oct 2024
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning
Siddharth Sahu
Abdulrahman Altahhan
3DPC
MedIm
45
0
0
22 Oct 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language
  Models
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
Shangqian Gao
Chi-Heng Lin
Ting Hua
Tang Zheng
Yilin Shen
Hongxia Jin
Yen-Chang Hsu
30
3
0
15 Oct 2024
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing
  Large Deep Models
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
Yuqi Li
Yao Lu
Zhihong Zhu
Chuanguang Yang
Yihao Chen
Jianping Gou
29
3
0
14 Oct 2024
STA-Unet: Rethink the semantic redundant for Medical Imaging
  Segmentation
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
Vamsi Krishna Vasa
Wenhui Zhu
Xiwen Chen
Peijie Qiu
Xuanzhao Dong
Yalin Wang
ViT
30
0
0
13 Oct 2024
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
Ruhai Lin
Rui-Jie Zhu
Jason K. Eshraghian
46
1
0
12 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
24
2
0
10 Oct 2024
Neural Metamorphosis
Neural Metamorphosis
Xingyi Yang
Xinchao Wang
38
1
0
10 Oct 2024
Growing Efficient Accurate and Robust Neural Networks on the Edge
Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha
Naresh Shanbhag
27
0
0
10 Oct 2024
Learning Content-Aware Multi-Modal Joint Input Pruning via
  Bird's-Eye-View Representation
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation
Yuxin Li
Yiheng Li
Xulei Yang
Mengying Yu
Zihang Huang
Xiaojun Wu
Chai Kiat Yeo
40
0
0
09 Oct 2024
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large
  Language Model
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model
Shuhao Gu
Mengdi Zhao
Bowen Zhang
Liangdong Wang
Jijie Li
Guang Liu
30
2
0
06 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTA
AI4TS
55
3
0
03 Oct 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
36
1
0
29 Sep 2024
CycleBNN: Cyclic Precision Training in Binary Neural Networks
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana
Romeo Lanzino
Anxhelo Diko
G. Foresti
Luigi Cinque
MQ
41
0
0
28 Sep 2024
CRoP: Context-wise Robust Static Human-Sensing Personalization
CRoP: Context-wise Robust Static Human-Sensing Personalization
Sawinder Kaur
Avery Gump
Yi Xiao
Jingyu Xin
Harshit Sharma
Nina R Benway
Jonathan L Preston
Asif Salekin
36
0
0
26 Sep 2024
CNN Mixture-of-Depths
CNN Mixture-of-Depths
Rinor Cakaj
Jens Mehnert
Bin Yang
26
1
0
25 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
40
2
0
23 Sep 2024
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for
  Resource-Constrained Embedded Platforms
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
Niraj Pudasaini
Muhammad Abdullah Hanif
Mohamed Bennai
33
0
0
22 Sep 2024
Green Federated Learning: A new era of Green Aware AI
Green Federated Learning: A new era of Green Aware AI
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
48
4
0
19 Sep 2024
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose
  Estimation
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Thomas Pöllabauer
Ashwin Pramod
Volker Knauthe
Michael Wahl
21
1
0
18 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite
  Communications
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Jianfei Sun
Cong Wu
Shahid Mumtaz
Junyi Tao
Mingsheng Cao
Mei Wang
Valerio Frascolla
42
5
0
13 Sep 2024
ELMS: Elasticized Large Language Models On Mobile Devices
ELMS: Elasticized Large Language Models On Mobile Devices
Wangsong Yin
Rongjie Yi
Daliang Xu
Gang Huang
Mengwei Xu
Xuanzhe Liu
37
5
0
08 Sep 2024
PSE-Net: Channel Pruning for Convolutional Neural Networks with
  Parallel-subnets Estimator
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator
Shiguang Wang
Tao Xie
Haijun Liu
Xingcheng Zhang
Jian Cheng
36
2
0
29 Aug 2024
Learning effective pruning at initialization from iterative pruning
Learning effective pruning at initialization from iterative pruning
Shengkai Liu
Yaofeng Cheng
Fusheng Zha
Wei Guo
Lining Sun
Zhenshan Bing
Chenguang Yang
43
0
0
27 Aug 2024
Infrared Domain Adaptation with Zero-Shot Quantization
Infrared Domain Adaptation with Zero-Shot Quantization
Burak Sevsay
Erdem Akagündüz
VLM
MQ
30
1
0
25 Aug 2024
MPruner: Optimizing Neural Network Size with CKA-Based Mutual
  Information Pruning
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
Seungbeom Hu
ChanJun Park
Andrew Ferraiuolo
Sang-Ki Ko
Jinwoo Kim
Haein Song
Jieung Kim
26
1
0
24 Aug 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
8
0
19 Aug 2024
Computer Vision Model Compression Techniques for Embedded Systems: A
  Survey
Computer Vision Model Compression Techniques for Embedded Systems: A Survey
Alexandre Lopes
Fernando Pereira dos Santos
D. Oliveira
Mauricio Schiezaro
Hélio Pedrini
36
5
0
15 Aug 2024
An Effective Information Theoretic Framework for Channel Pruning
An Effective Information Theoretic Framework for Channel Pruning
Yihao Chen
Zefang Wang
41
2
0
14 Aug 2024
Infra-YOLO: Efficient Neural Network Structure with Model Compression
  for Real-Time Infrared Small Object Detection
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection
Zhonglin Chen
Anyu Geng
Jianan Jiang
Jiwu Lu
Di Wu
ObjD
38
0
0
14 Aug 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A
  Case Study on Sparse Linear Regression
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen
Lei Zhao
Difan Zou
49
6
0
08 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
43
0
0
07 Aug 2024
MoExtend: Tuning New Experts for Modality and Task Extension
MoExtend: Tuning New Experts for Modality and Task Extension
Shanshan Zhong
Shanghua Gao
Zhongzhan Huang
Wushao Wen
Marinka Zitnik
Pan Zhou
VLM
MLLM
MoE
61
6
0
07 Aug 2024
Comb, Prune, Distill: Towards Unified Pruning for Vision Model
  Compression
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
Jonas Schmitt
Ruiping Liu
Junwei Zheng
Jiaming Zhang
Rainer Stiefelhagen
VLM
36
0
0
06 Aug 2024
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
Seungmin Yu
Xiaodie Yi
Hayun Lee
Dongkun Shin
37
1
0
30 Jul 2024
Accelerating the Low-Rank Decomposed Models
Accelerating the Low-Rank Decomposed Models
Habib Hajimolahoseini
Walid Ahmed
Austin Wen
Yang Liu
39
0
0
24 Jul 2024
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation
Ruizi Han
Jinglei Tang
58
1
0
19 Jul 2024
Reconstruct the Pruned Model without Any Retraining
Reconstruct the Pruned Model without Any Retraining
Pingjie Wang
Ziqing Fan
Shengchao Hu
Zhe Chen
Yanfeng Wang
Yu Wang
53
1
0
18 Jul 2024
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative
  Coevolution
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
J. Reif
Jiakang Li
Songning Lai
Alexander Fay
AAML
34
0
0
18 Jul 2024
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