Few-Shot Image Classification on OMNIGLOT - 1-Shot, 5-way

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MC2+	99.97	No	Meta-Curvature	2019-02-09	Code
2	Relation Net	99.6	No	Learning to Compare: Relation Network for Few-Sh...	2017-11-16	Code
3	MT-net	99.5	No	Gradient-Based Meta-Learning with Learned Layerw...	2018-01-17	Code
4	iMAML, Hessian-Free	99.5	No	Meta-Learning with Implicit Gradients	2019-09-10	Code
5	MAML++	99.47	No	How to train your MAML	2018-10-22	Code
6	Hyperbolic ProtoNet	99	No	Hyperbolic Image Embeddings	2019-04-03	Code
7	Prototypical Networks	98.8	No	Prototypical Networks for Few-shot Learning	2017-03-15	Code
8	MAML	98.7	No	Model-Agnostic Meta-Learning for Fast Adaptation...	2017-03-09	Code
9	VAMPIRE	98.43	No	Uncertainty in Model-Agnostic Meta-Learning usin...	2019-07-27	Code
10	adaCNN (DF)	98.42	No	Rapid Adaptation with Conditionally Shifted Neur...	2017-12-28	-
11	ConvNet with Memory Module	98.4	No	Learning to Remember Rare Events	2017-03-09	Code
12	Matching Nets	98.1	No	Matching Networks for One Shot Learning	2016-06-13	Code
13	Neural Statistician	98.1	No	Towards a Neural Statistician	2016-06-07	Code
14	APL	97.9	No	Adaptive Posterior Learning: few-shot learning w...	2019-02-07	Code
15	Reptile + Transduction	97.68	No	On First-Order Meta-Learning Algorithms	2018-03-08	Code

#1MC2+SOTA
99.97
Accuracy· 2019-02-09
Meta-Curvature Code
#2Relation NetSOTA
99.6
Accuracy· 2017-11-16
Learning to Compare: Relation Network for Few-Shot Learning Code
#3MT-net
99.5
Accuracy· 2018-01-17
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Code
#4iMAML, Hessian-Free
99.5
Accuracy· 2019-09-10
Meta-Learning with Implicit Gradients Code
#5MAML++
99.47
Accuracy· 2018-10-22
How to train your MAML Code
#6Hyperbolic ProtoNet
99
Accuracy· 2019-04-03
Hyperbolic Image Embeddings Code
#7Prototypical NetworksSOTA
98.8
Accuracy· 2017-03-15
Prototypical Networks for Few-shot Learning Code
#8MAMLSOTA
98.7
Accuracy· 2017-03-09
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Code
#9VAMPIRE
98.43
Accuracy· 2019-07-27
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Code
#10adaCNN (DF)
98.42
Accuracy· 2017-12-28
Rapid Adaptation with Conditionally Shifted Neurons
#11ConvNet with Memory Module
98.4
Accuracy· 2017-03-09
Learning to Remember Rare Events Code
#12Matching Nets
98.1
Accuracy· 2016-06-13
Matching Networks for One Shot Learning Code
#13Neural StatisticianSOTA
98.1
Accuracy· 2016-06-07
Towards a Neural Statistician Code
#14APL
97.9
Accuracy· 2019-02-07
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Code
#15Reptile + Transduction
97.68
Accuracy· 2018-03-08
On First-Order Meta-Learning Algorithms Code