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Definitely not true. Transfer learning a model trained on a corpus then fine tuned on labeled classes is current SotA approach [1]. [1] http://nlp.fast.ai/cate
by ScoutOrgo 8y ago
Definitely not true. Transfer learning a model trained on a corpus then fine tuned on labeled classes is current SotA approach [1].
[1] http://nlp.fast.ai/category/classification.html http://nlp.fast.ai/category/classification.html
- andreasvc 8y agoYou mention a single counterexample, but is it "definitely not true"? I think there is a strong publication bias: papers will report when they improve on the baseline, but that's likely not representative for the common case (e.g., limited data, no pretrained model available, no time for extensive parameter tuning).