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f0fae49cdfab57c41c30c9b0244093cb-Supplemental-Conference.pdf
Finally, based on the feedback of one reviewer, we considered a state of the art meta-learning algorithm, PEARL [1].
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SupplementaryMaterialof TowardsEnablingMeta-Learning fromTargetModels
In this experiment, we modify ProtoNet slightly to fit regression problem. In detail, we try to meta-learn an embedding functionφ: R R100, with assistance of which the similarity-based regressionmodelg(;{φ(xi)|(xi,yi) S})workswellacrossalltasks.
TowardsEnablingMeta-Learning fromTargetModels
It is often realized through optimizing a metamodel withtheevaluation lossoftask-specific solvers.