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Prototypical Clustering Networks for Dermatological Disease Diagnosis

Prototypical Clustering Networks for Dermatological Disease Diagnosis

7 November 2018
Siyu Dai
Shawn Schaffert
Murali Ravuri
Manish Chablani
David Sontag
B. Williams
ArXivPDFHTML

Papers citing "Prototypical Clustering Networks for Dermatological Disease Diagnosis"

12 / 12 papers shown
Title
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
65
1,282
0
02 Mar 2018
Thoracic Disease Identification and Localization with Limited
  Supervision
Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li
Chong Wang
Mei Han
Yuan Xue
Wei Wei
Li Li
F. Li
60
329
0
17 Nov 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
203
2,352
0
15 Oct 2017
The Devil is in the Tails: Fine-grained Classification in the Wild
The Devil is in the Tails: Fine-grained Classification in the Wild
Grant Van Horn
Pietro Perona
VLM
73
206
0
05 Sep 2017
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Stanislav Fort
40
81
0
09 Aug 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
281
8,114
0
15 Mar 2017
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
129
3,741
0
23 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
347
7,316
0
13 Jun 2016
One-shot Learning with Memory-Augmented Neural Networks
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro
Sergey Bartunov
M. Botvinick
Daan Wierstra
Timothy Lillicrap
74
525
0
19 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
1