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SNIP: Single-shot Network Pruning based on Connection Sensitivity

SNIP: Single-shot Network Pruning based on Connection Sensitivity

4 October 2018
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
    VLM
ArXivPDFHTML

Papers citing "SNIP: Single-shot Network Pruning based on Connection Sensitivity"

50 / 708 papers shown
Title
Sparsest Models Elude Pruning: An Exposé of Pruning's Current
  Capabilities
Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities
Stephen Zhang
Vardan Papyan
39
0
0
04 Jul 2024
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object
  Detection
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection
Kaixin Xu
Qingtian Feng
Hao Chen
Zhe Wang
Xue Geng
Xulei Yang
Min-man Wu
Xiaoli Li
Weisi Lin
41
0
0
02 Jul 2024
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Kaixin Xu
Zhe Wang
Chunyun Chen
Xue Geng
Jie Lin
Xulei Yang
Min-man Wu
Min Wu
Xiaoli Li
Weisi Lin
ViT
VLM
51
7
0
02 Jul 2024
Enhancing Accuracy and Parameter-Efficiency of Neural Representations
  for Network Parameterization
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
Hongjun Choi
Jayaraman J. Thiagarajan
Ruben Glatt
Shusen Liu
48
0
0
29 Jun 2024
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient
  Federated Learning
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
Alexander Herzog
Robbie Southam
Ioannis Mavromatis
Aftab Khan
39
0
0
27 Jun 2024
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Ashwinee Panda
Berivan Isik
Xiangyu Qi
Sanmi Koyejo
Tsachy Weissman
Prateek Mittal
MoMe
45
14
0
24 Jun 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
Yash Akhauri
Ahmed F. AbouElhamayed
Jordan Dotzel
Zhiru Zhang
Alexander M Rush
Safeen Huda
Mohamed S. Abdelfattah
23
2
0
24 Jun 2024
Unlocking the Global Synergies in Low-Rank Adapters
Unlocking the Global Synergies in Low-Rank Adapters
Zixi Zhang
Cheng Zhang
Xitong Gao
Robert D. Mullins
George A. Constantinides
Yiren Zhao
30
0
0
21 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for
  Heterophilic Graphs
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
Kun Wang
Guibin Zhang
Xinnan Zhang
Junfeng Fang
Xun Wu
Guohao Li
Shirui Pan
Wei-Ming Huang
Yuxuan Liang
40
4
0
18 Jun 2024
Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference
Endor: Hardware-Friendly Sparse Format for Offloaded LLM Inference
Donghyeon Joo
Ramyad Hadidi
S. Feizi
Bahar Asgari
MQ
33
0
0
17 Jun 2024
DIET: Customized Slimming for Incompatible Networks in Sequential
  Recommendation
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
Kairui Fu
Shengyu Zhang
Zheqi Lv
Jingyuan Chen
Jiwei Li
28
2
0
13 Jun 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large
  Language Models
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
Xiang Meng
Kayhan Behdin
Haoyue Wang
Rahul Mazumder
42
3
0
12 Jun 2024
Understanding Inhibition Through Maximally Tense Images
Understanding Inhibition Through Maximally Tense Images
Chris Hamblin
Srijani Saha
Talia Konkle
George Alvarez
FAtt
40
0
0
08 Jun 2024
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at
  Initialization
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization
Avrajit Ghosh
Xitong Zhang
Kenneth K. Sun
Qing Qu
S. Ravishankar
Rongrong Wang
MedIm
43
5
0
07 Jun 2024
Federated LoRA with Sparse Communication
Federated LoRA with Sparse Communication
Kevin Kuo
Arian Raje
Kousik Rajesh
Virginia Smith
46
8
0
07 Jun 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large
  Language Models
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Peijie Dong
Lujun Li
Zhenheng Tang
Xiang Liu
Xinglin Pan
Qiang-qiang Wang
Xiaowen Chu
65
23
0
05 Jun 2024
Cyclic Sparse Training: Is it Enough?
Cyclic Sparse Training: Is it Enough?
Advait Gadhikar
Sree Harsha Nelaturu
R. Burkholz
CLL
52
0
0
04 Jun 2024
Dishonesty in Helpful and Harmless Alignment
Dishonesty in Helpful and Harmless Alignment
Youcheng Huang
Jingkun Tang
Duanyu Feng
Zheng-Wei Zhang
Wenqiang Lei
Jiancheng Lv
Anthony G. Cohn
LLMSV
46
3
0
04 Jun 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral
  Foresight Pruning
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
36
3
0
03 Jun 2024
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact
  Orthogonal Initialization
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization
A. Nowak
Lukasz Gniecki
Filip Szatkowski
Jacek Tabor
37
0
0
03 Jun 2024
From Feature Visualization to Visual Circuits: Effect of Adversarial
  Model Manipulation
From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation
Géraldin Nanfack
Michael Eickenberg
Eugene Belilovsky
FAtt
AAML
GNN
43
0
0
03 Jun 2024
Effective Subset Selection Through The Lens of Neural Network Pruning
Effective Subset Selection Through The Lens of Neural Network Pruning
Noga Bar
Raja Giryes
CVBM
49
0
0
03 Jun 2024
Achieving Sparse Activation in Small Language Models
Achieving Sparse Activation in Small Language Models
Jifeng Song
Kai Huang
Xiangyu Yin
Boyuan Yang
Wei Gao
29
4
0
03 Jun 2024
Memorized Images in Diffusion Models share a Subspace that can be
  Located and Deleted
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted
Ruchika Chavhan
Ondrej Bohdal
Yongshuo Zong
Da Li
Timothy M. Hospedales
51
4
0
01 Jun 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned
  Perception CNNs: An Image Classification Benchmark Study
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
Pallavi Mitra
Gesina Schwalbe
Nadja Klein
AAML
36
1
0
31 May 2024
Dual sparse training framework: inducing activation map sparsity via
  Transformed $\ell1$ regularization
Dual sparse training framework: inducing activation map sparsity via Transformed ℓ1\ell1ℓ1 regularization
Xiaolong Yu
Cong Tian
52
0
0
30 May 2024
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron
  Pruning
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
Ruchika Chavhan
Da Li
Timothy M. Hospedales
44
15
0
29 May 2024
Survival of the Fittest Representation: A Case Study with Modular
  Addition
Survival of the Fittest Representation: A Case Study with Modular Addition
Xiaoman Delores Ding
Zifan Carl Guo
Eric J. Michaud
Ziming Liu
Max Tegmark
48
3
0
27 May 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse
  Mixture-of-Experts
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
Predicting the Impact of Model Expansion through the Minima Manifold: A
  Loss Landscape Perspective
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective
Pranshu Malviya
Jerry Huang
Quentin Fournier
Sarath Chandar
62
0
0
24 May 2024
Sparse maximal update parameterization: A holistic approach to sparse
  training dynamics
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey
Shane Bergsma
Joel Hestness
38
5
0
24 May 2024
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via
  Selective Tensor Freezing
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang
Wei Gao
42
2
0
24 May 2024
Graph Sparsification via Mixture of Graphs
Graph Sparsification via Mixture of Graphs
Guibin Zhang
Xiangguo Sun
Xinfeng Li
Kun Wang
Tianlong Chen
Shirui Pan
30
8
0
23 May 2024
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID
  Federated Learning
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning
Riyasat Ohib
Bishal Thapaliya
Gintare Karolina Dziugaite
Jingyu Liu
Vince D. Calhoun
Sergey Plis
FedML
32
1
0
15 May 2024
Neural Network Compression for Reinforcement Learning Tasks
Neural Network Compression for Reinforcement Learning Tasks
Dmitry A. Ivanov
D. Larionov
Oleg V. Maslennikov
V. Voevodin
OffRL
AI4CE
55
0
0
13 May 2024
Train Faster, Perform Better: Modular Adaptive Training in
  Over-Parameterized Models
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi
Yixuan Chen
Mingzhi Dong
Xiaochen Yang
Dongsheng Li
...
Yingying Zhao
Fan Yang
Tun Lu
Ning Gu
L. Shang
MoMe
46
4
0
13 May 2024
Differentiable Model Scaling using Differentiable Topk
Differentiable Model Scaling using Differentiable Topk
Kai Liu
Ruohui Wang
Jianfei Gao
Kai Chen
MedIm
VLM
36
1
0
12 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of
  Deep Neural Networks
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
...
Zhenghua Chen
M. Aly
Jie Lin
Min-man Wu
Xiaoli Li
33
1
0
09 May 2024
TED: Accelerate Model Training by Internal Generalization
TED: Accelerate Model Training by Internal Generalization
Jinying Xiao
Ping Li
Jie Nie
VLM
31
0
0
06 May 2024
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression
  and Deployment Toolkit for Prototype Hardware Accelerator Design
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
Jian Meng
Yuan Liao
Anupreetham Anupreetham
Ahmed Hassan
Shixing Yu
Han-Sok Suh
Xiaofeng Hu
Jae-sun Seo
MQ
49
2
0
02 May 2024
COPAL: Continual Pruning in Large Language Generative Models
COPAL: Continual Pruning in Large Language Generative Models
Srikanth Malla
Joon Hee Choi
Chiho Choi
VLM
CLL
40
1
0
02 May 2024
Graph is all you need? Lightweight data-agnostic neural architecture
  search without training
Graph is all you need? Lightweight data-agnostic neural architecture search without training
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Chunheng Jiang
Jianxi Gao
GNN
44
1
0
02 May 2024
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating
  Pre-trained Neural Networks
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Mark Huasong Meng
Hao Guan
Liuhuo Wan
Sin Gee Teo
Guangdong Bai
Jin Song Dong
MU
28
0
0
30 Apr 2024
The Simpler The Better: An Entropy-Based Importance Metric To Reduce
  Neural Networks' Depth
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth
Victor Quétu
Zhu Liao
Enzo Tartaglione
49
4
0
27 Apr 2024
Surprisingly Strong Performance Prediction with Neural Graph Features
Surprisingly Strong Performance Prediction with Neural Graph Features
Gabriela Kadlecová
Jovita Lukasik
Martin Pilát
Petra Vidnerová
Mahmoud Safari
Roman Neruda
Frank Hutter
GNN
OOD
48
2
0
25 Apr 2024
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer
Zhu Liao
Victor Quétu
Van-Tam Nguyen
Enzo Tartaglione
49
2
0
24 Apr 2024
ONNXPruner: ONNX-Based General Model Pruning Adapter
ONNXPruner: ONNX-Based General Model Pruning Adapter
Dongdong Ren
Wenbin Li
Tianyu Ding
Lei Wang
Qi Fan
Jing Huo
Hongbing Pan
Yang Gao
41
3
0
10 Apr 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid
  Byzantines in Federated Learning
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
38
0
0
09 Apr 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
Matteo Farina
Massimiliano Mancini
Elia Cunegatti
Gaowen Liu
Giovanni Iacca
Elisa Ricci
VLM
42
2
0
08 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
58
49
0
08 Apr 2024
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