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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

9 March 2018
Jonathan Frankle
Michael Carbin
ArXiv (abs)PDFHTML

Papers citing "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"

50 / 2,030 papers shown
Title
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou
Yukun Ma
Junnan Zhu
Jianbo Liu
Zhijie Zhang
Kun Yuan
Wenxiu Sun
Hongsheng Li
215
250
0
08 Feb 2021
Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG
  using a Joint CNN-LSTM Model
Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model
Ivine Kuruvila
J. Muncke
Eghart Fischer
U. Hoppe
30
25
0
08 Feb 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured
  Sparsity in Neural Networks
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione
Andrea Bragagnolo
Francesco Odierna
Attilio Fiandrotti
Marco Grangetto
88
18
0
07 Feb 2021
A Deeper Look into Convolutions via Eigenvalue-based Pruning
A Deeper Look into Convolutions via Eigenvalue-based Pruning
Ilke Çugu
Emre Akbas
FAtt
28
1
0
04 Feb 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
145
46
0
04 Feb 2021
Truly Sparse Neural Networks at Scale
Truly Sparse Neural Networks at Scale
Selima Curci
Decebal Constantin Mocanu
Mykola Pechenizkiy
141
22
0
02 Feb 2021
Spectral Roll-off Points Variations: Exploring Useful Information in
  Feature Maps by Its Variations
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations
Yunkai Yu
Yuyang You
Zhihong Yang
Guozheng Liu
Peiyao Li
Zhicheng Yang
Wenjing Shan
37
2
0
31 Jan 2021
A Unified Paths Perspective for Pruning at Initialization
A Unified Paths Perspective for Pruning at Initialization
Thomas Gebhart
Udit Saxena
Paul Schrater
88
14
0
26 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
233
704
0
24 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated
  Learning
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
86
49
0
21 Jan 2021
Zero-Cost Proxies for Lightweight NAS
Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah
Abhinav Mehrotra
Łukasz Dudziak
Nicholas D. Lane
85
261
0
20 Jan 2021
Network Pruning using Adaptive Exemplar Filters
Network Pruning using Adaptive Exemplar Filters
Mingbao Lin
Rongrong Ji
Shaojie Li
Yan Wang
Yongjian Wu
Feiyue Huang
QiXiang Ye
VLM
70
54
0
20 Jan 2021
SparseDNN: Fast Sparse Deep Learning Inference on CPUs
SparseDNN: Fast Sparse Deep Learning Inference on CPUs
Ziheng Wang
MQ
194
20
0
20 Jan 2021
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
136
86
0
19 Jan 2021
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search
  Spaces
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces
Xingyou Song
K. Choromanski
Jack Parker-Holder
Yunhao Tang
Qiuyi Zhang
...
Deepali Jain
Wenbo Gao
Aldo Pacchiano
Tamás Sarlós
Yuxiang Yang
66
0
0
19 Jan 2021
Knowledge Distillation Methods for Efficient Unsupervised Adaptation
  Across Multiple Domains
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
Le Thanh Nguyen-Meidine
Atif Belal
M. Kiran
Jose Dolz
Louis-Antoine Blais-Morin
Eric Granger
83
27
0
18 Jan 2021
Model Compression for Domain Adaptation through Causal Effect Estimation
Model Compression for Domain Adaptation through Causal Effect Estimation
Guy Rotman
Amir Feder
Roi Reichart
CML
77
7
0
18 Jan 2021
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Liang-Gee Chen
VLM
27
0
0
17 Jan 2021
Slot Machines: Discovering Winning Combinations of Random Weights in
  Neural Networks
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell Mbabilla Aladago
Lorenzo Torresani
54
10
0
16 Jan 2021
Rescaling CNN through Learnable Repetition of Network Parameters
Rescaling CNN through Learnable Repetition of Network Parameters
Arnav Chavan
Udbhav Bamba
Rishabh Tiwari
D. K. Gupta
22
0
0
14 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy
  Efficient Neural Networks
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
Karina Vasquez
Yeshwanth Venkatesha
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
MQ
73
15
0
12 Jan 2021
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning
  Model Optimization
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
A. Sankaran
Olivier Mastropietro
Ehsan Saboori
Yasser Idris
Davis Sawyer
Mohammadhossein Askarihemmat
G. B. Hacene
73
4
0
11 Jan 2021
Spending Your Winning Lottery Better After Drawing It
Spending Your Winning Lottery Better After Drawing It
Ajay Jaiswal
Haoyu Ma
Tianlong Chen
Ying Ding
Zhangyang Wang
48
6
0
08 Jan 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets
Xiaohan Chen
Yu Cheng
Shuohang Wang
Zhe Gan
Zhangyang Wang
Jingjing Liu
113
100
0
31 Dec 2020
Reservoir Transformers
Reservoir Transformers
Sheng Shen
Alexei Baevski
Ari S. Morcos
Kurt Keutzer
Michael Auli
Douwe Kiela
84
18
0
30 Dec 2020
Kaleidoscope: An Efficient, Learnable Representation For All Structured
  Linear Maps
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
Tri Dao
N. Sohoni
Albert Gu
Matthew Eichhorn
Amit Blonder
Megan Leszczynski
Atri Rudra
Christopher Ré
90
49
0
29 Dec 2020
Disentangling semantics in language through VAEs and a certain
  architectural choice
Disentangling semantics in language through VAEs and a certain architectural choice
G. Felhi
Joseph Le Roux
Djamé Seddah
CoGeDRL
41
1
0
24 Dec 2020
A Survey on Visual Transformer
A Survey on Visual Transformer
Kai Han
Yunhe Wang
Hanting Chen
Xinghao Chen
Jianyuan Guo
...
Chunjing Xu
Yixing Xu
Zhaohui Yang
Yiman Zhang
Dacheng Tao
ViT
229
2,262
0
23 Dec 2020
Finding Sparse Structures for Domain Specific Neural Machine Translation
Finding Sparse Structures for Domain Specific Neural Machine Translation
Jianze Liang
Chengqi Zhao
Mingxuan Wang
Xipeng Qiu
Lei Li
CLL
73
4
0
19 Dec 2020
Enabling Retrain-free Deep Neural Network Pruning using Surrogate
  Lagrangian Relaxation
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin
Shangli Zhou
Lynn Pepin
Bingbing Li
Mikhail A. Bragin
Caiwen Ding
Fei Miao
28
3
0
18 Dec 2020
Provable Benefits of Overparameterization in Model Compression: From
  Double Descent to Pruning Neural Networks
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Xiangyu Chang
Yingcong Li
Samet Oymak
Christos Thrampoulidis
86
51
0
16 Dec 2020
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning
Yiding Jiang
Pierre Foret
Scott Yak
Daniel M. Roy
H. Mobahi
Gintare Karolina Dziugaite
Samy Bengio
Suriya Gunasekar
Isabelle M Guyon
Behnam Neyshabur Google Research
OOD
74
55
0
14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
95
123
0
12 Dec 2020
Sparsifying networks by traversing Geodesics
Sparsifying networks by traversing Geodesics
G. Raghavan
Matt Thomson
16
2
0
12 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
48
10
0
10 Dec 2020
Interpreting Neural Networks as Gradual Argumentation Frameworks
  (Including Proof Appendix)
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix)
Nico Potyka
AI4CE
111
50
0
10 Dec 2020
The Lottery Ticket Hypothesis for Object Recognition
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
144
61
0
08 Dec 2020
Rethinking FUN: Frequency-Domain Utilization Networks
Rethinking FUN: Frequency-Domain Utilization Networks
Kfir Goldberg
Stav Shapiro
Elad Richardson
S. Avidan
54
8
0
06 Dec 2020
Effect of the initial configuration of weights on the training and
  function of artificial neural networks
Effect of the initial configuration of weights on the training and function of artificial neural networks
Ricardo J. Jesus
Mário Antunes
R. A. D. Costa
S. Dorogovtsev
J. F. F. Mendes
R. Aguiar
61
15
0
04 Dec 2020
The Self-Simplifying Machine: Exploiting the Structure of Piecewise
  Linear Neural Networks to Create Interpretable Models
The Self-Simplifying Machine: Exploiting the Structure of Piecewise Linear Neural Networks to Create Interpretable Models
William Knauth
14
1
0
02 Dec 2020
An Once-for-All Budgeted Pruning Framework for ConvNets Considering
  Input Resolution
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution
Wenyu Sun
Jian Cao
Pengtao Xu
Xiangcheng Liu
Pu Li
36
0
0
02 Dec 2020
NPAS: A Compiler-aware Framework of Unified Network Pruning and
  Architecture Search for Beyond Real-Time Mobile Acceleration
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li
Geng Yuan
Wei Niu
Pu Zhao
Yanyu Li
...
Sijia Liu
Kaiyuan Yang
Bin Ren
Yanzhi Wang
Xue Lin
MQ
100
27
0
01 Dec 2020
Quick and Robust Feature Selection: the Strength of Energy-efficient
  Sparse Training for Autoencoders
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Zahra Atashgahi
Ghada Sokar
T. Lee
Elena Mocanu
Decebal Constantin Mocanu
Raymond N. J. Veldhuis
Mykola Pechenizkiy
94
41
0
01 Dec 2020
Unsupervised Anomaly Detection From Semantic Similarity Scores
Nima Rafiee
Rahil Gholamipoor
M. Kollmann
OODD
34
2
0
01 Dec 2020
Solvable Model for Inheriting the Regularization through Knowledge
  Distillation
Solvable Model for Inheriting the Regularization through Knowledge Distillation
Luca Saglietti
Lenka Zdeborová
46
20
0
01 Dec 2020
Deconstructing the Structure of Sparse Neural Networks
Deconstructing the Structure of Sparse Neural Networks
M. V. Gelder
Mitchell Wortsman
Kiana Ehsani
28
1
0
30 Nov 2020
Locally Linear Attributes of ReLU Neural Networks
Locally Linear Attributes of ReLU Neural Networks
Benjamin Sattelberg
R. Cavalieri
Michael Kirby
C. Peterson
Ross Beveridge
FAtt
45
10
0
30 Nov 2020
KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and
  Quantization
KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and Quantization
Het Shah
Avishree Khare
Neelay Shah
Khizir Siddiqui
MQ
40
6
0
30 Nov 2020
Towards Fast and Light-Weight Restoration of Dark Images
Towards Fast and Light-Weight Restoration of Dark Images
Mohit Lamba
Atul Balaji
Kaushik Mitra
51
26
0
28 Nov 2020
FreezeNet: Full Performance by Reduced Storage Costs
FreezeNet: Full Performance by Reduced Storage Costs
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
77
13
0
28 Nov 2020
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