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Learning both Weights and Connections for Efficient Neural Networks

Learning both Weights and Connections for Efficient Neural Networks

8 June 2015
Song Han
Jeff Pool
J. Tran
W. Dally
    CVBM
ArXivPDFHTML

Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

50 / 1,151 papers shown
Title
Compressed Gastric Image Generation Based on Soft-Label Dataset
  Distillation for Medical Data Sharing
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
32
41
0
29 Sep 2022
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
36
5
0
27 Sep 2022
MiNL: Micro-images based Neural Representation for Light Fields
MiNL: Micro-images based Neural Representation for Light Fields
Ziru Xu
Henan Wang
Zhibo Chen
33
1
0
17 Sep 2022
Neural Networks Reduction via Lumping
Neural Networks Reduction via Lumping
Dalila Ressi
Riccardo Romanello
S. Rossi
Carla Piazza
43
4
0
15 Sep 2022
Optimizing Connectivity through Network Gradients for Restricted
  Boltzmann Machines
Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines
A. C. N. D. Oliveira
Daniel R. Figueiredo
32
0
0
14 Sep 2022
One-shot Network Pruning at Initialization with Discriminative Image
  Patches
One-shot Network Pruning at Initialization with Discriminative Image Patches
Yinan Yang
Yu Wang
Yi Ji
Heng Qi
Jien Kato
VLM
39
4
0
13 Sep 2022
Understanding Time Variations of DNN Inference in Autonomous Driving
Understanding Time Variations of DNN Inference in Autonomous Driving
Liangkai Liu
Yanzhi Wang
Weisong Shi
AI4TS
AI4CE
31
6
0
12 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural
  Networks
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
52
1
0
07 Sep 2022
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on
  GPU
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU
Jian-He Liao
Mingzhen Li
Qingxiao Sun
Jiwei Hao
F. Yu
...
Ye Tao
Zicheng Zhang
Hailong Yang
Zhongzhi Luan
D. Qian
33
4
0
06 Sep 2022
What to Prune and What Not to Prune at Initialization
What to Prune and What Not to Prune at Initialization
Maha Haroon
18
0
0
06 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
45
109
0
31 Aug 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural
  Network Quantization
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
Cong Guo
Chen Zhang
Jingwen Leng
Zihan Liu
Fan Yang
Yun-Bo Liu
Minyi Guo
Yuhao Zhu
MQ
20
58
0
30 Aug 2022
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Muhammad Zawish
Steven Davy
L. Abraham
46
16
0
26 Aug 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact
  DNN
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying-Cong Chen
Bo Yuan
AAML
45
6
0
22 Aug 2022
Towards Efficient Capsule Networks
Towards Efficient Capsule Networks
Riccardo Renzulli
Marco Grangetto
OCL
40
4
0
19 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
AAML
44
2
0
18 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
41
54
0
17 Aug 2022
Combining Gradients and Probabilities for Heterogeneous Approximation of
  Neural Networks
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks
E. Trommer
Bernd Waschneck
Akash Kumar
23
6
0
15 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
36
11
0
11 Aug 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model
  Compression toward AI Software Deployment
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment
Jie Zhu
Leye Wang
Xiao Han
40
9
0
11 Aug 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
31
20
0
09 Aug 2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of
  Efficiency Operators for Transformers
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
Ji Xin
Raphael Tang
Zhiying Jiang
Yaoliang Yu
Jimmy J. Lin
26
1
0
31 Jul 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep
  Neural Networks
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci
A. Steininger
Mohamed Bennai
32
12
0
31 Jul 2022
A One-Shot Reparameterization Method for Reducing the Loss of Tile
  Pruning on DNNs
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Yancheng Li
Qingzhong Ai
Fumihiko Ino
35
0
0
29 Jul 2022
LightX3ECG: A Lightweight and eXplainable Deep Learning System for
  3-lead Electrocardiogram Classification
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le
Hieu H. Pham
Thao BT. Nguyen
Tu Nguyen
T. Thanh
Cuong D. Do
18
34
0
25 Jul 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
44
38
0
22 Jul 2022
Doge Tickets: Uncovering Domain-general Language Models by Playing
  Lottery Tickets
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets
Yi Yang
Chen Zhang
Benyou Wang
Dawei Song
LRM
37
6
0
20 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Chong Min John Tan
Mehul Motani
32
52
0
14 Jul 2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo
Guangcong Wang
Shikai Li
Wayne Wu
Ziwei Liu
VGen
58
20
0
11 Jul 2022
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
J. Matos
I. Bessa
Edoardo Manino
Xidan Song
Lucas C. Cordeiro
MQ
50
2
0
09 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil
Brian Bartoldson
James Diffenderfer
B. Kailkhura
P. Bremer
OOD
56
0
0
08 Jul 2022
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Ryuichi Ito
Seng Pei Liew
Tsubasa Takahashi
Yuya Sasaki
Makoto Onizuka
30
1
0
06 Jul 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
31
4
0
06 Jul 2022
Probing via Prompting
Probing via Prompting
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
42
13
0
04 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
37
46
0
04 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks
PrUE: Distilling Knowledge from Sparse Teacher Networks
Shaopu Wang
Xiaojun Chen
Mengzhen Kou
Jinqiao Shi
30
2
0
03 Jul 2022
Enabling Harmonious Human-Machine Interaction with Visual-Context
  Augmented Dialogue System: A Review
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang
Bin Guo
Y. Zeng
Yasan Ding
Chen Qiu
Ying Zhang
Li Yao
Zhiwen Yu
45
2
0
02 Jul 2022
Studying the impact of magnitude pruning on contrastive learning methods
Studying the impact of magnitude pruning on contrastive learning methods
Francesco Corti
R. Entezari
Sara Hooker
D. Bacciu
O. Saukh
26
5
0
01 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
52
8
0
28 Jun 2022
Deep Neural Networks pruning via the Structured Perspective
  Regularization
Deep Neural Networks pruning via the Structured Perspective Regularization
M. Cacciola
A. Frangioni
Xinlin Li
Andrea Lodi
3DPC
38
5
0
28 Jun 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of
  Weight Importance
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Qingru Zhang
Simiao Zuo
Chen Liang
Alexander Bukharin
Pengcheng He
Weizhu Chen
T. Zhao
35
78
0
25 Jun 2022
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
John Rachwan
Daniel Zügner
Bertrand Charpentier
Simon Geisler
Morgane Ayle
Stephan Günnemann
32
24
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
28
7
0
17 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zhengqi He
Zeke Xie
Quanzhi Zhu
Zengchang Qin
86
27
0
17 Jun 2022
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Aishwarya H. Balwani
J. Krzyston
39
2
0
14 Jun 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on
  an Embedded GPU
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
GNN
SSeg
3DPC
45
2
0
13 Jun 2022
Leveraging Structured Pruning of Convolutional Neural Networks
Leveraging Structured Pruning of Convolutional Neural Networks
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
David Bertrand
T. Hannagan
CVBM
26
1
0
13 Jun 2022
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Sanghoon Myung
I. Huh
Wonik Jang
Jae Myung Choe
Jisu Ryu
Daesin Kim
Kee-Eung Kim
C. Jeong
32
13
0
12 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
42
11
0
07 Jun 2022
ZeroQuant: Efficient and Affordable Post-Training Quantization for
  Large-Scale Transformers
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Z. Yao
Reza Yazdani Aminabadi
Minjia Zhang
Xiaoxia Wu
Conglong Li
Yuxiong He
VLM
MQ
78
452
0
04 Jun 2022
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