Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5Multi-Task Learning#31Accuracy: 69.5
few-shot-image-classification-on-cifar-fs-5-1Multi-Task Learning#31Accuracy: 84.1
few-shot-image-classification-on-fc100-5-wayMulti-Task Learning#17Accuracy: 42.4
few-shot-image-classification-on-fc100-5-way-1Multi-Task Learning#17Accuracy: 57.7
few-shot-image-classification-on-mini-2Multi-Task Learning#68Accuracy: 59.84
few-shot-image-classification-on-mini-3Multi-Task Learning#58Accuracy: 77.72
few-shot-image-classification-on-tieredMulti-Task Learning#37Accuracy: 67.11
few-shot-image-classification-on-tiered-1Multi-Task Learning#31Accuracy: 83.69