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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
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
Heqiang Wang
Jieming Bian
Lei Wang
Jia Zhou
Weihong Yang
Xiaoxiong Zhong
FedML
42
0
0
30 Mar 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
Dense Vision Transformer Compression with Few Samples
Dense Vision Transformer Compression with Few Samples
Hanxiao Zhang
Yifan Zhou
Guo-Hua Wang
Jianxin Wu
ViT
VLM
39
1
0
27 Mar 2024
The Need for Speed: Pruning Transformers with One Recipe
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki
Konstantinos N. Plataniotis
42
10
0
26 Mar 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
54
83
0
26 Mar 2024
Insights into the Lottery Ticket Hypothesis and Iterative Magnitude
  Pruning
Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning
Tausifa Jan Saleem
Ramanjit Ahuja
Surendra Prasad
Brejesh Lall
31
0
0
22 Mar 2024
Hierarchical Skip Decoding for Efficient Autoregressive Text Generation
Hierarchical Skip Decoding for Efficient Autoregressive Text Generation
Yunqi Zhu
Xuebing Yang
Yuanyuan Wu
Wensheng Zhang
33
3
0
22 Mar 2024
Tensor network compressibility of convolutional models
Tensor network compressibility of convolutional models
Sukhbinder Singh
S. Jahromi
Roman Orus
33
2
0
21 Mar 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning
  from Scratch
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu
Shangqian Gao
Zeyu Zhang
Zhenzhen Li
Runxue Bao
Yanfu Zhang
Xiaoqian Wang
Heng-Chiao Huang
41
8
0
21 Mar 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained
  Sentence Embeddings
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
Gaifan Zhang
Yi Zhou
Danushka Bollegala
50
4
0
20 Mar 2024
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory
  Accelerators
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
Timur Ibrayev
Isha Garg
I. Chakraborty
Kaushik Roy
25
0
0
19 Mar 2024
LNPT: Label-free Network Pruning and Training
LNPT: Label-free Network Pruning and Training
Jinying Xiao
Ping Li
Zhe Tang
Jie Nie
38
2
0
19 Mar 2024
Compositional Kronecker Context Optimization for Vision-Language Models
Compositional Kronecker Context Optimization for Vision-Language Models
Kun Ding
Xiaohui Li
Qiang Yu
Ying Wang
Haojian Zhang
Shiming Xiang
VLM
44
0
0
18 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint
  Improvement of Robustness and Efficiency
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency
Hallgrimur Thorsteinsson
Valdemar J Henriksen
Tong Chen
Raghavendra Selvan
AAML
48
1
0
14 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture
  Search
Random Search as a Baseline for Sparse Neural Network Architecture Search
Rezsa Farahani
36
0
0
13 Mar 2024
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
Aman Kumar
Khushboo Anand
Shubham Mandloi
Ashutosh Mishra
Avinash Thakur
Neeraj Kasera
Prathosh A P
30
3
0
13 Mar 2024
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of
  Neurons
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Simon Dufort-Labbé
P. DÓro
Evgenii Nikishin
Razvan Pascanu
Pierre-Luc Bacon
A. Baratin
45
1
0
12 Mar 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Aozhong Zhang
Zi Yang
Naigang Wang
Yingyong Qin
Jack Xin
Xin Li
Penghang Yin
VLM
MQ
46
3
0
11 Mar 2024
Ensemble Quadratic Assignment Network for Graph Matching
Ensemble Quadratic Assignment Network for Graph Matching
Haoru Tan
Chuang Wang
Sitong Wu
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
34
3
0
11 Mar 2024
Enhanced Sparsification via Stimulative Training
Enhanced Sparsification via Stimulative Training
Shengji Tang
Weihao Lin
Hancheng Ye
Peng Ye
Chong Yu
Baopu Li
Tao Chen
40
2
0
11 Mar 2024
A Survey of Lottery Ticket Hypothesis
A Survey of Lottery Ticket Hypothesis
Bohan Liu
Zijie Zhang
Peixiong He
Zhensen Wang
Yang Xiao
Ruimeng Ye
Yang Zhou
Wei-Shinn Ku
Bo Hui
UQCV
47
12
0
07 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
47
1
0
04 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Xun Wang
John Rachwan
Stephan Günnemann
Bertrand Charpentier
46
4
0
03 Mar 2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with
  Combinatorial Optimization
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng
Shibal Ibrahim
Kayhan Behdin
Hussein Hazimeh
Natalia Ponomareva
Rahul Mazumder
VLM
49
5
0
02 Mar 2024
DistriFusion: Distributed Parallel Inference for High-Resolution
  Diffusion Models
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Zhekai Zhang
Tianle Cai
Jiaxin Cao
Qinsheng Zhang
Han Cai
Junjie Bai
Yangqing Jia
Ming-Yu Liu
Kai Li
Song Han
DiffM
37
41
0
29 Feb 2024
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
Zhiyuan Yang
Yunjiao Zhou
Lihua Xie
Jianfei Yang
3DPC
40
1
0
29 Feb 2024
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
Mahsa Mozafari-Nia
Salimeh Yasaei Sekeh
23
0
0
29 Feb 2024
REPrune: Channel Pruning via Kernel Representative Selection
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park
Dongjin Kim
Cheonjun Park
Yuna Park
Gyeong Eun Gong
Won Woo Ro
Suhyun Kim
VLM
49
1
0
27 Feb 2024
SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field
SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field
Zetian Song
Wenhong Duan
Yuhuai Zhang
Shiqi Wang
Siwei Ma
Wen Gao
25
2
0
26 Feb 2024
CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer
  Learning
CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer Learning
Feng Chen
29
0
0
20 Feb 2024
Efficient Parameter Mining and Freezing for Continual Object Detection
Efficient Parameter Mining and Freezing for Continual Object Detection
Angelo G. Menezes
Augusto J. Peterlevitz
Mateus A. Chinelatto
André C. P. L. F. de Carvalho
40
0
0
20 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local
  Parameter Sharing
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia
Xuyun Zhang
Amin Beheshti
Wanchun Dou
FedML
27
5
0
13 Feb 2024
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
34
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
63
84
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
54
14
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
25
8
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
62
30
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
44
44
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
38
3
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
23
18
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
33
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
30
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
40
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
43
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
35
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
26
2
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
31
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-Chiang Frank Wang
Fan Jiang
Lu Tian
Ashish Sirasao
ViT
29
7
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
31
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
43
2
0
29 Dec 2023
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