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LANA: Latency Aware Network Acceleration

LANA: Latency Aware Network Acceleration

12 July 2021
Pavlo Molchanov
Jimmy Hall
Hongxu Yin
Jan Kautz
Nicolò Fusi
Arash Vahdat
ArXivPDFHTML

Papers citing "LANA: Latency Aware Network Acceleration"

38 / 88 papers shown
Title
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
65
1,346
0
10 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
76
2,761
0
09 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
120
13,051
0
07 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe Lin
Jianmin Wang
54
408
0
01 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
129
19,124
0
13 Jan 2018
Learning Sparse Neural Networks through $L_0$ Regularization
Learning Sparse Neural Networks through L0L_0L0​ Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
226
1,136
0
04 Dec 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep
  Networks
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
A. Gordon
Elad Eban
Ofir Nachum
Bo Chen
Hao Wu
Tien-Ju Yang
Edward Choi
49
337
0
18 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
62
798
0
16 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
60
330
0
15 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
327
26,241
0
05 Sep 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
139
5,577
0
21 Jul 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
68
1,317
0
20 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
35
1,758
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
189
2,513
0
19 Jul 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
81
828
0
06 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
115
6,830
0
04 Jul 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
27
117
0
01 Jun 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
90
188
0
20 May 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML
3DV
94
3,002
0
27 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
91
1,631
0
03 Mar 2017
Variational Dropout Sparsifies Deep Neural Networks
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
92
825
0
19 Jan 2017
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
115
1,035
0
04 Dec 2016
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov
Stephen Tyree
Tero Karras
Timo Aila
Jan Kautz
CVBM
VLM
37
417
0
19 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
426
10,281
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
378
5,362
0
05 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
38
181
0
30 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
820
14,493
0
07 Oct 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
160
3,676
0
31 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
622
36,599
0
25 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
254
7,951
0
23 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
131
4,342
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
279
10,149
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
282
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
456
27,231
0
02 Dec 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
111
448
0
08 Jun 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
228
19,523
0
09 Mar 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
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