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Fast ConvNets Using Group-wise Brain Damage
v1v2 (latest)

Fast ConvNets Using Group-wise Brain Damage

8 June 2015
V. Lebedev
Victor Lempitsky
    AAML
ArXiv (abs)PDFHTML

Papers citing "Fast ConvNets Using Group-wise Brain Damage"

50 / 211 papers shown
Title
Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware
  Neuron Management
Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management
Tuowei Wang
Ruwen Fan
Minxing Huang
Zixu Hao
Kun Li
Ting Cao
Youyou Lu
Yaoxue Zhang
Ju Ren
87
2
0
25 Oct 2024
Single Parent Family: A Spectrum of Family Members from a Single
  Pre-Trained Foundation Model
Single Parent Family: A Spectrum of Family Members from a Single Pre-Trained Foundation Model
Habib Hajimolahoseini
Mohammad Hassanpour
Foozhan Ataiefard
Boxing Chen
Yang Liu
72
2
0
28 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
76
6
0
12 Jun 2024
Data-independent Module-aware Pruning for Hierarchical Vision
  Transformers
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Yang He
Qiufeng Wang
ViT
81
5
0
21 Apr 2024
LSK3DNet: Towards Effective and Efficient 3D Perception with Large
  Sparse Kernels
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
Tuo Feng
Wenguan Wang
Fan Ma
Yi Yang
3DV
91
7
0
22 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
106
1
0
12 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
104
8
0
02 Mar 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
94
1
0
29 Feb 2024
Conditional Information Gain Trellis
Conditional Information Gain Trellis
Ufuk Can Biçici
Tuna Han Salih Meral
L. Akarun
45
2
0
13 Feb 2024
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
Zhiteng Li
Yulun Zhang
Jing Lin
Haotong Qin
Jinjin Gu
Xin Yuan
Linghe Kong
Xiaokang Yang
3DH
130
1
0
24 Nov 2023
Importance Estimation with Random Gradient for Neural Network Pruning
Importance Estimation with Random Gradient for Neural Network Pruning
Suman Sapkota
Binod Bhattarai
90
1
0
31 Oct 2023
Unified Data-Free Compression: Pruning and Quantization without
  Fine-Tuning
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
Shipeng Bai
Jun Chen
Xintian Shen
Yixuan Qian
Yong Liu
MQ
97
15
0
14 Aug 2023
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Vasileios Leon
Muhammad Abdullah Hanif
Giorgos Armeniakos
Xun Jiao
Mohamed Bennai
K. Pekmestzi
Dimitrios Soudris
102
3
0
20 Jul 2023
Performance of $\ell_1$ Regularization for Sparse Convex Optimization
Performance of ℓ1\ell_1ℓ1​ Regularization for Sparse Convex Optimization
Kyriakos Axiotis
T. Yasuda
68
0
0
14 Jul 2023
Neural Network Pruning for Real-time Polyp Segmentation
Neural Network Pruning for Real-time Polyp Segmentation
Suman Sapkota
Pranav Poudel
Sudarshan Regmi
Bibek Panthi
Binod Bhattarai
MedIm
71
0
0
22 Jun 2023
Riemannian Low-Rank Model Compression for Federated Learning with
  Over-the-Air Aggregation
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation
Ye Xue
Vincent K. N. Lau
17
6
0
04 Jun 2023
Low Rank Optimization for Efficient Deep Learning: Making A Balance
  between Compact Architecture and Fast Training
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training
Xinwei Ou
Zhangxin Chen
Ce Zhu
Yipeng Liu
79
5
0
22 Mar 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Nived Rajaraman
Devvrit
Aryan Mokhtari
Kannan Ramchandran
54
0
0
20 Mar 2023
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Jiamian Wang
Huan Wang
Yulun Zhang
Yun Fu
Zhiqiang Tao
SupR
68
2
0
16 Mar 2023
Gated Compression Layers for Efficient Always-On Models
Gated Compression Layers for Efficient Always-On Models
Haiguang Li
T. Thormundsson
I. Poupyrev
N. Gillian
76
2
0
15 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
116
142
0
01 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQAAML
102
37
0
26 Jan 2023
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks
Ziran Qin
Mingbao Lin
Weiyao Lin
3DPC
77
3
0
26 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
90
10
0
19 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
97
2
0
15 Jan 2023
Unsupervised Detection of Contextualized Embedding Bias with Application
  to Ideology
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Valentin Hofmann
J. Pierrehumbert
Hinrich Schütze
107
0
0
14 Dec 2022
The Effect of Data Dimensionality on Neural Network Prunability
The Effect of Data Dimensionality on Neural Network Prunability
Zachary Ankner
Alex Renda
Gintare Karolina Dziugaite
Jonathan Frankle
Tian Jin
60
5
0
01 Dec 2022
Pruning Very Deep Neural Network Channels for Efficient Inference
Pruning Very Deep Neural Network Channels for Efficient Inference
Yihui He
57
1
0
14 Nov 2022
Pruning's Effect on Generalization Through the Lens of Training and
  Regularization
Pruning's Effect on Generalization Through the Lens of Training and Regularization
Tian Jin
Michael Carbin
Daniel M. Roy
Jonathan Frankle
Gintare Karolina Dziugaite
84
30
0
25 Oct 2022
Sequential Attention for Feature Selection
Sequential Attention for Feature Selection
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
107
11
0
29 Sep 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
80
23
0
18 Sep 2022
Sparsity-guided Network Design for Frame Interpolation
Sparsity-guided Network Design for Frame Interpolation
Tian Ding
Luming Liang
Zhihui Zhu
Tianyi Chen
Ilya Zharkov
83
6
0
09 Sep 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
70
21
0
09 Aug 2022
Trainability Preserving Neural Pruning
Trainability Preserving Neural Pruning
Huan Wang
Yun Fu
AAML
70
17
0
25 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
108
457
0
19 Jul 2022
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework
Xiaofeng Li
Bin Ren
Xipeng Shen
Yanzhi Wang
GNN
45
0
0
21 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
62
7
0
17 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
94
11
0
07 Jun 2022
Canonical convolutional neural networks
Canonical convolutional neural networks
Lokesh Veeramacheneni
Moritz Wolter
Reinhard Klein
Jochen Garcke
60
4
0
03 Jun 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
71
10
0
13 May 2022
Blueprint Separable Residual Network for Efficient Image
  Super-Resolution
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Zheyu Li
Yingqi Liu
Xiangyu Chen
Haoming Cai
Jinjin Gu
Yu Qiao
Chao Dong
98
139
0
12 May 2022
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Kaveena Persand
Andrew Anderson
David Gregg
27
0
0
04 May 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
116
115
0
25 Apr 2022
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
J. Ó. Neill
Sourav Dutta
H. Assem
VLM
54
2
0
04 Apr 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
92
49
0
09 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
59
13
0
03 Mar 2022
Optimal channel selection with discrete QCQP
Optimal channel selection with discrete QCQP
Yeonwoo Jeong
Deokjae Lee
Gaon An
Changyong Son
Hyun Oh Song
45
1
0
24 Feb 2022
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Auto-Compressing Subset Pruning for Semantic Image Segmentation
Konstantin Ditschuneit
Johannes Otterbach
49
5
0
26 Jan 2022
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded
  Systems
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems
Priyank Kalgaonkar
M. El-Sharkawy
3DH
33
5
0
01 Dec 2021
A Highly Effective Low-Rank Compression of Deep Neural Networks with
  Modified Beam-Search and Modified Stable Rank
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Moonjung Eo
Suhyun Kang
Wonjong Rhee
52
1
0
30 Nov 2021
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