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ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
12 May 2025
Wenhao Hu
Paul Henderson
José Cano
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Papers citing
"ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks"
27 / 27 papers shown
Title
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning
Utku Mert Topcuoglu
Erdem Akagündüz
72
1
0
02 Dec 2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye
Xuanting Chen
Nuo Xu
Can Zu
Zekai Shao
...
Jie Zhou
Siming Chen
Tao Gui
Qi Zhang
Xuanjing Huang
ELM
59
331
0
18 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
49
11
0
14 Mar 2023
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
Shiyu Liu
Chong Min John Tan
Mehul Motani
CLL
51
4
0
17 Oct 2021
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning
Yuhan Liu
Saurabh Agarwal
Shivaram Venkataraman
OffRL
48
56
0
02 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
314
723
0
31 Jan 2021
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
267
1,052
0
06 Mar 2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks
Sourjya Roy
Priyadarshini Panda
G. Srinivasan
A. Raghunathan
3DPC
VLM
64
19
0
05 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,559
0
03 Dec 2019
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning
Jaejun Lee
Raphael Tang
Jimmy J. Lin
67
126
0
08 Nov 2019
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
ODL
287
1,906
0
08 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
663
5,808
0
25 Jul 2019
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Yuanzhi Li
Colin Wei
Tengyu Ma
53
299
0
10 Jul 2019
Are Sixteen Heads Really Better than One?
Paul Michel
Omer Levy
Graham Neubig
MoE
103
1,062
0
25 May 2019
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAML
VLM
66
965
0
21 Aug 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
242
3,484
0
09 Mar 2018
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
254
1,896
0
28 Dec 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
58
1,760
0
20 Jul 2017
An Entropy-based Pruning Method for CNN Compression
Jian-Hao Luo
Jianxin Wu
37
180
0
19 Jun 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
47
125
0
15 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
204
6,199
0
15 Sep 2016
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
195
3,697
0
31 Aug 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
775
36,861
0
25 Aug 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
349
7,995
0
23 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
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