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by r-zip
1729 days ago
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Has this been implemented? What kinds of hashing functions are you talking about? How would you guarantee the same hash for all the augmentations? It seems like the approach you describe just moves the complexity of the task solved by neural networks into the hashing function. |
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"our experiments establish that state-of-the-art convolutional networks for image classification trained with stochastic gradient methods easily fit a random labeling of the training data. This phenomenon is qualitatively unaffected by explicit regularization, and occurs even if we replace the true images by completely unstructured random noise."