MetaFun: Meta-Learning with Iterative Functional Updates

Benchmark Model Rank Results
few-shot-image-classification-on-mini-2MetaFun-Attention#56Accuracy: 64.13
few-shot-image-classification-on-mini-3MetaFun-Attention#45Accuracy: 80.82
few-shot-image-classification-on-tieredMetaFun-Attention#36Accuracy: 67.72
few-shot-image-classification-on-tiered-1MetaFun-Kernel#33Accuracy: 83.28