Using a thousand optimization tasks to learn hyperparameter search strategies

27 Feb 2020Luke MetzNiru MaheswaranathanRuoxi SunC. Daniel FreemanBen PooleJascha Sohl-Dickstein

We present TaskSet, a dataset of tasks for use in training and evaluating optimizers. TaskSet is unique in its size and diversity, containing over a thousand tasks ranging from image classification with fully connected or convolutional neural networks, to variational autoencoders, to non-volume preserving flows on a variety of datasets... (read more)

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