Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2110.11395
Cited By
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
19 October 2021
Manuel Nonnenmacher
Thomas Pfeil
Ingo Steinwart
David Reeb
Re-assign community
ArXiv
PDF
HTML
Papers citing
"SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning"
19 / 19 papers shown
Title
Automatic Complementary Separation Pruning Toward Lightweight CNNs
David Levin
Gonen Singer
7
0
0
19 May 2025
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs
Chang Gao
Kang Zhao
Jianfei Chen
Liping Jing
47
0
0
24 Mar 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
Minxuan Lv
Zhenpeng Su
Leiyu Pan
Yizhe Xiong
Zijia Lin
...
Guiguang Ding
Cheng Luo
Di Zhang
Kun Gai
Songlin Hu
MoE
41
0
0
18 Feb 2025
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang
Guiying Li
Ning Lu
Peng Yang
K. Tang
54
0
0
28 Jan 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Jianpeng Qi
Junyu Dong
Yanwei Yu
3DPC
AI4CE
44
0
0
24 Dec 2024
Layer Pruning with Consensus: A Triple-Win Solution
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna Helena Reali Costa
Artur Jordao
75
0
0
21 Nov 2024
Mutual Information Preserving Neural Network Pruning
Charles Westphal
Stephen Hailes
Mirco Musolesi
57
1
0
31 Oct 2024
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
Kiran Purohit
Anurag Parvathgari
Sourangshu Bhattacharya
VLM
46
0
0
22 Aug 2024
Effective Layer Pruning Through Similarity Metric Perspective
Ian Pons
Bruno Yamamoto
Anna Helena Reali Costa
Artur Jordao
46
2
0
27 May 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
Mohammed Nowaz Rabbani Chowdhury
Meng Wang
Kaoutar El Maghraoui
Naigang Wang
Pin-Yu Chen
Christopher Carothers
MoE
39
4
0
26 May 2024
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
41
12
0
07 Mar 2024
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
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
P. Zhai
K. Guo
F. Liu
Xiaofen Xing
Xiangmin Xu
26
3
0
25 Sep 2023
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
Hongrong Cheng
Miao Zhang
Javen Qinfeng Shi
AAML
33
1
0
13 Aug 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
30
117
0
01 Mar 2023
Structured Pruning Adapters
Lukas Hedegaard
Aman Alok
Juby Jose
Alexandros Iosifidis
38
10
0
17 Nov 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
42
9
0
08 Jul 2022
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
166
0
21 Oct 2020
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
1