0a3b6f64f0523984e51323fe53b8c504-AuthorFeedback.pdf

Aconcrete example ofthisisthe"Gaussian Gated Linear Networks" paper (which can7 be found on arXiv) that shows SOTA results on many regression problems. We agree that the continual learning problem is far more complex than captured by current14 standard datasets. ImageNet), but it's worth noting that (1) the two fields are solving very different problems, and (2) that even17 MNIST variants are sufficiently complextoclearly stratify the performance ofcompeting methods (the function of18 a challenge dataset). There is a slight misunderstanding regarding the asymptotic time complexity of the algorithm.42