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$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class
  Separability of Features

G\mathcal{G}G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features

8 April 2019
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
ArXivPDFHTML

Papers citing "$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features"

4 / 4 papers shown
Title
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
Md Rahat-uz- Zaman
Bei Wang
Paul Rosen
21
0
0
06 May 2025
Natural Attribute-based Shift Detection
Natural Attribute-based Shift Detection
Jeonghoon Park
Jimin Hong
Radhika Dua
Daehoon Gwak
Yixuan Li
Jaegul Choo
E. Choi
OOD
25
3
0
18 Oct 2021
Associated Learning: Decomposing End-to-end Backpropagation based on
  Auto-encoders and Target Propagation
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation
Yu-Wei Kao
Hung-Hsuan Chen
BDL
13
5
0
13 Jun 2019
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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