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3131**Which problems are multi-objective? **
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33- Many optimization problems are multi-objective. In multitask learning, for example, the loss of each
34- task can be considered as a separate objective. More interestingly to us, many problems that are
35- traditionally considered as single-objective can actually be seen as multi-objective. Here are a few
36- examples:
33+ Many optimization problems are multi-objective. In multi-task learning, for example, the loss of
34+ each task can be considered as a separate objective. More interestingly to us, many problems that
35+ are traditionally considered as single-objective can actually be seen as multi-objective. Here are a
36+ few examples:
3737
3838- We can consider separately the loss of each element in the mini-batch, instead of averaging them.
3939 We call this paradigm instance-wise risk minimization (:doc: `IWRM <examples/iwrm >`).
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