r/MachineLearning - [D] Do people use meta learning in production?

I would think of meta-learning as broad class of algorithms where feedback is explicitly considered as part of the training data. This is useful for few-shot classification but may not be necessary. The finetuning approach actually has much better results on few-shot classification benchmarks at the moment. If you want an example of a use of meta-learning which is distinct from few-shot classification, check out the spicy new paper "MetaMixUp" which uses meta learning to control the mixing rate for mixup training.