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End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

7 October 2021
J. Tan
C. Chan
Joon Huang Chuah
    VLM
ArXivPDFHTML

Papers citing "End-to-End Supermask Pruning: Learning to Prune Image Captioning Models"

42 / 42 papers shown
Title
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning
  Inference
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
Ziheng Wang
54
68
0
26 Aug 2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li
Bowen Wu
Jiang Su
Guangrun Wang
Liang Lin
61
174
0
06 Jul 2020
A Better Variant of Self-Critical Sequence Training
A Better Variant of Self-Critical Sequence Training
Ruotian Luo
BDL
43
37
0
22 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
62
724
0
24 Feb 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
88
243
0
23 Jan 2020
Meshed-Memory Transformer for Image Captioning
Meshed-Memory Transformer for Image Captioning
Marcella Cornia
Matteo Stefanini
Lorenzo Baraldi
Rita Cucchiara
59
874
0
17 Dec 2019
Fast Sparse ConvNets
Fast Sparse ConvNets
Erich Elsen
Marat Dukhan
Trevor Gale
Karen Simonyan
129
152
0
21 Nov 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Liangjiang Wen
Xuanyang Zhang
Haoli Bai
Zenglin Xu
46
38
0
17 Jun 2019
Image Captioning: Transforming Objects into Words
Image Captioning: Transforming Objects into Words
Simão Herdade
Armin Kappeler
K. Boakye
Joao Soares
ViT
99
468
0
14 Jun 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang
Roger C. Grosse
Sanja Fidler
Guodong Zhang
58
123
0
15 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou
Janice Lan
Rosanne Liu
J. Yosinski
UQCV
49
386
0
03 May 2019
COMIC: Towards A Compact Image Captioning Model with Attention
COMIC: Towards A Compact Image Captioning Model with Attention
J. Tan
Chee Seng Chan
Joon Huang Chuah
VLM
45
40
0
04 Mar 2019
Discrimination-aware Channel Pruning for Deep Neural Networks
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
104
598
0
28 Oct 2018
Bayesian Compression for Natural Language Processing
Bayesian Compression for Natural Language Processing
Nadezhda Chirkova
E. Lobacheva
Dmitry Vetrov
BDL
35
15
0
25 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
36
1,471
0
11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
50
31
0
10 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning
A Comprehensive Survey of Deep Learning for Image Captioning
Md Zakir Hossain
Ferdous Sohel
M. Shiratuddin
Hamid Laga
VLM
3DV
79
773
0
06 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
227
1,196
0
04 Oct 2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Grow and Prune Compact, Fast, and Accurate LSTMs
Xiaoliang Dai
Hongxu Yin
N. Jha
VLM
SyDa
48
90
0
30 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
40
209
0
23 May 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
200
3,457
0
09 Mar 2018
Efficient Neural Audio Synthesis
Efficient Neural Audio Synthesis
Nal Kalchbrenner
Erich Elsen
Karen Simonyan
Seb Noury
Norman Casagrande
Edward Lockhart
Florian Stimberg
Aaron van den Oord
Sander Dieleman
Koray Kavukcuoglu
87
867
0
23 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
86
1,348
0
10 Feb 2018
Learning Sparse Neural Networks through $L_0$ Regularization
Learning Sparse Neural Networks through L0L_0L0​ Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
335
1,144
0
04 Dec 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
75
235
0
06 Nov 2017
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
167
1,273
0
05 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
H. Li
MQ
62
141
0
15 Sep 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
111
4,208
0
25 Jul 2017
Exploring Sparsity in Recurrent Neural Networks
Exploring Sparsity in Recurrent Neural Networks
Sharan Narang
Erich Elsen
G. Diamos
Shubho Sengupta
38
312
0
17 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,781
0
17 Apr 2017
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
105
1,883
0
02 Dec 2016
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
118
207
0
21 Nov 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
50
221
0
29 Jun 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
100
2,358
0
19 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
281
6,660
0
08 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
415
43,234
0
11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
310
10,050
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
89
5,578
0
07 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
250
4,471
0
20 Nov 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
367
43,524
0
01 May 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
354
3,125
0
15 Aug 2013
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