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On The Distribution of Penultimate Activations of Classification
  Networks
v1v2 (latest)

On The Distribution of Penultimate Activations of Classification Networks

5 July 2021
Minkyo Seo
Yoonho Lee
Suha Kwak
    UQCV
ArXiv (abs)PDFHTML

Papers citing "On The Distribution of Penultimate Activations of Classification Networks"

19 / 19 papers shown
Title
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
89
569
0
18 Dec 2019
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
97
52
0
04 Dec 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
178
1,054
0
23 Oct 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
126
981
0
23 Jul 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
181
5,012
0
30 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
199
2,064
0
10 Jul 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
120
384
0
03 Apr 2018
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
147
2,590
0
12 Dec 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
524
10,358
0
16 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
457
3,215
0
30 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
313
1,166
0
24 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
488
9,076
0
10 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
362
8,005
0
23 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,342
0
14 Dec 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
244
4,180
0
17 May 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
330
3,906
0
19 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
136
1,968
0
26 Nov 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GANSSLBDL
105
2,746
0
20 Jun 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
317
7,321
0
20 Dec 2013
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