OpenCodePapers
few-shot-image-classification-on-omniglot-1-2
Image Classification
Few-Shot Image Classification
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Meta-Curvature
✓ Link
99.97
MC2+
2019-02-09
Decoder Choice Network for Meta-Learning
✓ Link
99.92%
DCN6-E
2019-09-25
Decoder Choice Network for Meta-Learning
✓ Link
99.8%
DCN4
2019-09-25
Learning to Compare: Relation Network for Few-Shot Learning
✓ Link
99.6
Relation Net
2017-11-16
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
✓ Link
99.5
MT-net
2018-01-17
Meta-Learning with Implicit Gradients
✓ Link
99.50
iMAML, Hessian-Free
2019-09-10
How to train your MAML
✓ Link
99.47
MAML++
2018-10-22
Hyperbolic Image Embeddings
✓ Link
99.0
Hyperbolic ProtoNet
2019-04-03
Prototypical Networks for Few-shot Learning
✓ Link
98.8
Prototypical Networks
2017-03-15
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
✓ Link
98.7
MAML
2017-03-09
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
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98.43
VAMPIRE
2019-07-27
Rapid Adaptation with Conditionally Shifted Neurons
98.42
adaCNN (DF)
2017-12-28
Learning to Remember Rare Events
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98.4
ConvNet with Memory Module
2017-03-09
Matching Networks for One Shot Learning
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98.1
Matching Nets
2016-06-13
Towards a Neural Statistician
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98.1
Neural Statistician
2016-06-07
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
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97.9
APL
2019-02-07
On First-Order Meta-Learning Algorithms
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97.68
Reptile + Transduction
2018-03-08