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ResearchFormerly WizWand

Digit Classification on MNIST 10-way 5-shot

98.51AccuracyOracle-MAML
42.433256.991671.5586.1084Oct 4, 2018
Updated 8mo ago

Evaluation results

MethodLinks
Oracle-MAMLAlgorithm=MAML2018.1098.51
CACTUS-MAML on imagesGenerative Model=InfoGAN, d=12, Modality=Images, P=100, k=102018.1097.22
CACTUS-MAML on imagesGenerative Model=InfoGAN, d=12, Modality=Images, P=1, k=102018.1097.18
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=1, k=102018.1097.13
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=100, k=102018.1097.08
Embedding cluster matchingGenerative Model=InfoGAN, d=12, Modality=Embeddings, k=102018.1096.97
Embedding linear classifierGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1096.61
CACTUS-MAML on embeddingsGenerative Model=ACAI, d=256, Modality=Embeddings, P=1, k=102018.1096.56
CACTUS-MAML on imagesGenerative Model=ACAI, d=256, Modality=Images, P=1, k=102018.1096.08
Embedding knn-nearest neighborsGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1096.05
Embedding cluster matchingGenerative Model=ACAI, d=256, Modality=Embeddings, k=102018.1095.92
Embedding linear classifierGenerative Model=ACAI, d=256, Modality=Embeddings2018.1092.17
Embedding knn-nearest neighborsGenerative Model=ACAI, d=256, Modality=Embeddings2018.1088.8
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=100, k=102018.1077.05
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=1, k=102018.1062.2
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=100, k=102018.1060.74
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=1, k=102018.1051.78
Embedding linear classifierGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1051.69
Embedding cluster matchingGenerative Model=BiGAN, d=50, Modality=Embeddings, k=102018.1050.21
Embedding knn-nearest neighborsGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1044.59