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ResearchFormerly WizWand

Digit Classification on MNIST 10-way 10-shot

98.51AccuracyOracle-MAML
50.118862.681975.24587.8081Oct 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=102018.1097.31
CACTUS-MAML on imagesGenerative Model=InfoGAN, d=12, Modality=Images, P=1, k=102018.1097.28
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=1, k=102018.1097.23
CACTUS-MAML on embeddingsGenerative Model=InfoGAN, d=12, Modality=Embeddings, P=100, k=102018.1097.22
Embedding cluster matchingGenerative Model=InfoGAN, d=12, Modality=Embeddings, k=102018.1096.99
Embedding linear classifierGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1096.85
CACTUS-MAML on embeddingsGenerative Model=ACAI, d=256, Modality=Embeddings, P=1, k=102018.1096.8
CACTUS-MAML on imagesGenerative Model=ACAI, d=256, Modality=Images, P=1, k=102018.1096.29
Embedding knn-nearest neighborsGenerative Model=InfoGAN, d=12, Modality=Embeddings2018.1096.24
Embedding cluster matchingGenerative Model=ACAI, d=256, Modality=Embeddings, k=102018.1096.01
Embedding linear classifierGenerative Model=ACAI, d=256, Modality=Embeddings2018.1094.58
Embedding knn-nearest neighborsGenerative Model=ACAI, d=256, Modality=Embeddings2018.1091.9
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=100, k=102018.1083.9
CACTUS-MAML on imagesGenerative Model=BiGAN, d=50, Modality=Images, P=1, k=102018.1068.38
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=100, k=102018.1067.34
Embedding linear classifierGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1060.7
CACTUS-MAML on embeddingsGenerative Model=BiGAN, d=50, Modality=Embeddings, P=1, k=102018.1057.41
Embedding cluster matchingGenerative Model=BiGAN, d=50, Modality=Embeddings, k=102018.1052.95
Embedding knn-nearest neighborsGenerative Model=BiGAN, d=50, Modality=Embeddings2018.1051.98