84ddfb34126fc3a48ee38d7044e87276-Paper.pdf

Then, we propose a meta-learning framework, to jointly train the perturbation function over heterogeneous tasks in parallel. As MetaPerturb is a set-function trained over diverse distributions across layers and tasks, it can generalize toheterogeneous tasksandarchitectures.