Appendixto" Auxiliary TaskReweightingfor Minimum-dataLearning " AnonymousAuthor(s) Affiliation Address email

Neural Information Processing Systems 

First we remove the dependency on the integral by taking its lower33 boundandupperbound. This is the case whene KLα is large (see Figure 1a). This assumption holds as long as there is at least one task that is related to the main task (having59 a smallKLα), which is reasonable because if all the tasks are unrelated, then reweighing is also60 meaningless. Specifically, we find the results insensitive to the choice ofβ. Only 1000 out of 65392 images are147 labeled.

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