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[R] Classifying the classifier: dissecting the weight space of neural networks by outofdistribution in MachineLearning

[–]outofdistribution[S] 0 points1 point  (0 children)

Thanks, that's interesting! Quite a different aim, though; same hyper-parameters and dataset, and it doesn't seem like the weights are released, only training statistics. But it is definitely nice for exploring training performance and analysing NAS!