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Semi-Supervised and Active Few-Shot Learning with Prototypical Networks

Semi-Supervised and Active Few-Shot Learning with Prototypical Networks

29 November 2017
Rinu Boney
Alexander Ilin
    VLM
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Papers citing "Semi-Supervised and Active Few-Shot Learning with Prototypical Networks"

14 / 14 papers shown
Title
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
88
4,584
0
26 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
107
558
0
14 Sep 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
66
1,114
0
31 Jul 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
207
8,072
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
752
11,793
0
09 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
76
1,064
0
02 Mar 2017
Attentive Recurrent Comparators
Attentive Recurrent Comparators
Pranav Shyam
Shubham Gupta
Ambedkar Dukkipati
VLM
38
108
0
02 Mar 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
159
2,543
0
07 Oct 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
284
7,286
0
13 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
244
7,951
0
23 May 2016
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
70
1,641
0
19 Nov 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
64
1,369
0
09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato
S. Maeda
Masanori Koyama
Ken Nakae
S. Ishii
70
458
0
02 Jul 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
678
149,474
0
22 Dec 2014
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