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ResearchFormerly WizWand

Digit Classification on MNIST 10-way 1-shot

97.31AccuracyOracle-MAML
26.527644.903863.2881.6562Oct 4, 2018
Updated 8mo ago

Evaluation results

MethodLinks
Oracle-MAMLAlgorithm=MAML2018.1097.31
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=1, k=102018.1096.69
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=100, k=102018.1096.48
CACTUS-MAML on imagesGenerative Model=InfoGAN, d=12, Modality=Images, P=100, k=102018.1096.08
Embedding linear classifierGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1095.78
CACTUS-MAML on imagesGenerative Model=InfoGAN, d=12, Modality=Images, P=1, k=102018.1095.3
CACTUS-MAML on embeddingsGenerative Model=ACAI, d=256, Modality=Embeddings, P=1, k=102018.1094.77
Embedding knn-nearest neighborsGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1094.53
Embedding cluster matchingGenerative Model=InfoGAN, d=12, Modality=Embeddings, k=102018.1093.42
CACTUS-MAML on imagesGenerative Model=ACAI, d=256, Modality=Images, P=1, k=102018.1092.66
Embedding cluster matchingGenerative Model=ACAI, d=256, Modality=Embeddings, k=102018.1091.28
Embedding linear classifierGenerative Model=ACAI, d=256, Modality=Embeddings2018.1076.53
Embedding knn-nearest neighborsGenerative Model=ACAI, d=256, Modality=Embeddings2018.1074.49
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=100, k=102018.1049.73
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=1, k=102018.1043.75
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=100, k=102018.1037.32
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=1, k=102018.1036.33
Embedding cluster matchingGenerative Model=BiGAN, d=50, Modality=Embeddings, k=102018.1033.72
Embedding linear classifierGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1030.86
Embedding knn-nearest neighborsGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1029.25