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Pruning Filters for Efficient ConvNets
v1v2v3 (latest)

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Pruning Filters for Efficient ConvNets"

50 / 1,596 papers shown
Title
Successive Refinement in Large-Scale Computation: Advancing Model
  Inference Applications
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications
H. Esfahanizadeh
Alejandro Cohen
S. Shamai
Muriel Médard
70
1
0
11 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank
  Modifications
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei
Kaixuan Huang
Yangsibo Huang
Tinghao Xie
Xiangyu Qi
Mengzhou Xia
Prateek Mittal
Mengdi Wang
Peter Henderson
AAML
151
118
0
07 Feb 2024
Progressive Gradient Flow for Robust N:M Sparsity Training in
  Transformers
Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers
Abhimanyu Bambhaniya
Amir Yazdanbakhsh
Suvinay Subramanian
Sheng-Chun Kao
Shivani Agrawal
Utku Evci
Tushar Krishna
116
19
0
07 Feb 2024
Compressing Deep Reinforcement Learning Networks with a Dynamic
  Structured Pruning Method for Autonomous Driving
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
Wensheng Su
Zhenni Li
Minrui Xu
Jiawen Kang
Dusit Niyato
Shengli Xie
77
9
0
07 Feb 2024
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison
  of Retraining Methods
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
Bo-Kyeong Kim
Geonmin Kim
Tae-Ho Kim
Thibault Castells
Shinkook Choi
Junho Shin
Hyoung-Kyu Song
112
40
0
05 Feb 2024
Learning from Teaching Regularization: Generalizable Correlations Should
  be Easy to Imitate
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin
Tong Che
Hongwu Peng
Yiyuan Li
Dimitris N. Metaxas
Marco Pavone
135
47
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
75
4
0
04 Feb 2024
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan
Raghav Magazine
Shubham Kushwaha
M. Debbah
Deepak Gupta
68
23
0
02 Feb 2024
Robustness to distribution shifts of compressed networks for edge
  devices
Robustness to distribution shifts of compressed networks for edge devices
Lulan Shen
Ali Edalati
Brett H. Meyer
Warren Gross
James J. Clark
67
0
0
22 Jan 2024
Dynamic Semantic Compression for CNN Inference in Multi-access Edge
  Computing: A Graph Reinforcement Learning-based Autoencoder
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
Nana Li
Alexandros Iosifidis
Qi Zhang
61
2
0
19 Jan 2024
Model Compression Techniques in Biometrics Applications: A Survey
Model Compression Techniques in Biometrics Applications: A Survey
Eduarda Caldeira
Pedro C. Neto
Marco Huber
Naser Damer
Ana F. Sequeira
117
11
0
18 Jan 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
77
6
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
90
0
0
16 Jan 2024
GD doesn't make the cut: Three ways that non-differentiability affects
  neural network training
GD doesn't make the cut: Three ways that non-differentiability affects neural network training
Siddharth Krishna Kumar
AAML
81
3
0
16 Jan 2024
Convolutional Neural Network Compression via Dynamic Parameter Rank
  Pruning
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
Manish Sharma
Jamison Heard
Eli Saber
Panos P. Markopoulos
69
1
0
15 Jan 2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
Ji Liu
Dehua Tang
Yuanxian Huang
Li Zhang
Xiaocheng Zeng
...
Jinzhang Peng
Yu Wang
Fan Jiang
Lu Tian
Ashish Sirasao
ViT
62
8
0
12 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
62
0
0
11 Jan 2024
Boosting Defect Detection in Manufacturing using Tensor Convolutional
  Neural Networks
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Pablo Martin-Ramiro
Unai Sainz de la Maza
Sukhbinder Singh
Roman Orus
Samuel Mugel
UQCV
76
3
0
29 Dec 2023
One-Shot Multi-Rate Pruning of Graph Convolutional Networks
One-Shot Multi-Rate Pruning of Graph Convolutional Networks
H. Sahbi
57
0
0
29 Dec 2023
Robust Neural Pruning with Gradient Sampling Optimization for Residual
  Neural Networks
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
Juyoung Yun
57
1
0
26 Dec 2023
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision
  Quantization
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
K. Balaskas
Andreas Karatzas
Christos Sad
K. Siozios
Iraklis Anagnostopoulos
Georgios Zervakis
Jörg Henkel
MQ
72
11
0
23 Dec 2023
Compressing Image-to-Image Translation GANs Using Local Density
  Structures on Their Learned Manifold
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh
Shangqian Gao
Hirad Alipanah
Heng-Chiao Huang
GAN
95
7
0
22 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic
  Tensor Selection
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang
Boyuan Yang
Wei Gao
93
21
0
21 Dec 2023
Sparse Training for Federated Learning with Regularized Error Correction
Sparse Training for Federated Learning with Regularized Error Correction
Ran Greidi
Kobi Cohen
FedML
122
2
0
21 Dec 2023
The Truth is in There: Improving Reasoning in Language Models with
  Layer-Selective Rank Reduction
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma
Jordan T. Ash
Dipendra Kumar Misra
LRM
83
90
0
21 Dec 2023
Model-Based Control with Sparse Neural Dynamics
Model-Based Control with Sparse Neural Dynamics
Ziang Liu
Genggeng Zhou
Jeff He
Tobia Marcucci
Fei-Fei Li
Jiajun Wu
Yunzhu Li
AI4CE
92
18
0
20 Dec 2023
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
90
0
0
19 Dec 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
118
163
0
19 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
135
2
0
19 Dec 2023
Gradient-based Parameter Selection for Efficient Fine-Tuning
Gradient-based Parameter Selection for Efficient Fine-Tuning
Zhi Zhang
Qizhe Zhang
Zijun Gao
Renrui Zhang
Ekaterina Shutova
Shiji Zhou
Shanghang Zhang
123
21
0
15 Dec 2023
OTOv3: Automatic Architecture-Agnostic Neural Network Training and
  Compression from Structured Pruning to Erasing Operators
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
Tianyi Chen
Tianyu Ding
Zhihui Zhu
Zeyu Chen
HsiangTao Wu
Ilya Zharkov
Luming Liang
55
4
0
15 Dec 2023
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework
  on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous
  Modalities
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
Runwei Guan
Haocheng Zhao
Shanliang Yao
Ka Lok Man
Xiaohui Zhu
...
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Weiping Ding
Yutao Yue
77
5
0
14 Dec 2023
DTL: Disentangled Transfer Learning for Visual Recognition
DTL: Disentangled Transfer Learning for Visual Recognition
Minghao Fu
Ke Zhu
Jianxin Wu
106
19
0
13 Dec 2023
Class-Aware Pruning for Efficient Neural Networks
Class-Aware Pruning for Efficient Neural Networks
Mengnan Jiang
Jingcun Wang
Amro Eldebiky
Xunzhao Yin
Cheng Zhuo
Ing-Chao Lin
Grace Li Zhang
AAML
80
9
0
10 Dec 2023
Sparse Multitask Learning for Efficient Neural Representation of Motor
  Imagery and Execution
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution
Hye-Bin Shin
Kang Yin
Seong-Whan Lee
53
0
0
10 Dec 2023
SlimSAM: 0.1% Data Makes Segment Anything Slim
SlimSAM: 0.1% Data Makes Segment Anything Slim
Zigeng Chen
Gongfan Fang
Xinyin Ma
Xinchao Wang
103
14
0
08 Dec 2023
Accelerating Convolutional Neural Network Pruning via Spatial Aura
  Entropy
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
Bogdan Musat
Razvan Andonie
55
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
93
21
0
30 Nov 2023
Towards Higher Ranks via Adversarial Weight Pruning
Towards Higher Ranks via Adversarial Weight Pruning
Yuchuan Tian
Hanting Chen
Tianyu Guo
Chao Xu
Yunhe Wang
63
2
0
29 Nov 2023
LayerCollapse: Adaptive compression of neural networks
LayerCollapse: Adaptive compression of neural networks
Soheil Zibakhsh Shabgahi
Mohammad Soheil Shariff
F. Koushanfar
AI4CE
61
1
0
29 Nov 2023
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median
  Criterion
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
Konstantinos Gkrispanis
Nikolaos Gkalelis
Vasileios Mezaris
VLMCVBM
79
4
0
28 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A
  Review of Current Evidence
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence
Svetlana Pavlitska
Hannes Grolig
J. Marius Zöllner
AAML
138
3
0
27 Nov 2023
Experimental Analysis of Large-scale Learnable Vector Storage
  Compression
Experimental Analysis of Large-scale Learnable Vector Storage Compression
Hailin Zhang
Penghao Zhao
Xupeng Miao
Yingxia Shao
Zirui Liu
Tong Yang
Tengjiao Wang
79
13
0
27 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
102
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
96
8
0
22 Nov 2023
Archtree: on-the-fly tree-structured exploration for latency-aware
  pruning of deep neural networks
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks
Rémi Ouazan Reboul
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
66
0
0
17 Nov 2023
Examining Modularity in Multilingual LMs via Language-Specialized
  Subnetworks
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks
Rochelle Choenni
Ekaterina Shutova
Daniel H Garrette
85
8
0
14 Nov 2023
Mitigating Backdoors within Deep Neural Networks in Data-limited
  Configuration
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
Soroush Hashemifar
Saeed Parsa
Morteza Zakeri-Nasrabadi
AAML
69
0
0
13 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel
  Training
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training
Yuhao Chen
Yuxuan Yan
Qianqian Yang
Yuanchao Shu
Shibo He
Zhiguo Shi
Jiming Chen
82
0
0
10 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Chicago Y. Park
Weijie Gan
Zihao Zou
Yuyang Hu
Zhixin Sun
Ulugbek S. Kamilov
66
0
0
03 Nov 2023
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