OpenCodePapers

few-shot-image-classification-on-omniglot-5-1

Few-Shot Image Classification
Results over time
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PaperCodeAccuracyModelNameReleaseDate
Meta-Curvature✓ Link99.65%MC2+2019-02-09
Decoder Choice Network for Meta-Learning✓ Link99.63DCN6-E2019-09-25
Decoder Choice Network for Meta-Learning✓ Link99.5%DCN42019-09-25
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning✓ Link99.49%TapNet2019-05-16
How to train your MAML✓ Link99.33%MAML++2018-10-22
Few-Shot Learning with Global Class Representations✓ Link99.32GCR2019-08-14
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning✓ Link99.3%MAML++2022-01-11
Meta-Learning with Implicit Gradients✓ Link99.14%iMAML, Hessian-Free2019-09-10
Learning to Compare: Relation Network for Few-Shot Learning✓ Link99.1%Relation Net2017-11-16
Prototypical Networks for Few-shot Learning✓ Link98.9%Prototypical Networks2017-03-15
Learning to Remember Rare Events✓ Link98.6%ConvNet with Memory Module2017-03-09
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference✓ Link98.52%VAMPIRE2019-07-27
Matching Networks for One Shot Learning✓ Link98.5%Matching Nets2016-06-13
Rapid Adaptation with Conditionally Shifted Neurons98.43%adaCNN (DF)2017-12-28
Hyperbolic Image Embeddings✓ Link98.15%Hyperbolic ProtoNet2019-04-03
Towards a Neural Statistician✓ Link98.1%Neural Statistician2016-06-07
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module✓ Link97.6%APL2019-02-07
On First-Order Meta-Learning Algorithms✓ Link97.12%Reptile + Transduction2018-03-08
Meta-Learning without Memorization✓ Link94.1%MR-MAML2019-12-09
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