Some of the most popular topics in DL research are those where generalization is (falsely) believed to be optional: generative models and RL
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This is a consequence of poorly calibrated incentives: anything that reduces the level of scrutiny of your results helps you publish
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Maybe we'll see the rise of research topics where experimental validation is optional altogethr. If socially acceptable, would be a huge hit
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Huge amount of CVPR paper didn`t work in real world long time before deep nets. Just handpick a suitable dataset and you are done.
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