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LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
Results indicate that LEAN pruning can result in networks with similar accuracy but 3--20x fewer convolutional filters than networks pruned with methods that rank filters individually.
Optional Stopping with Bayes Factors: a categorization and extension of folklore results, with an application to invariant situations
It is often claimed that Bayesian methods, in particular Bayes factor methods for hypothesis testing, can deal with optional stopping.
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