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monte-carlo-drop-out

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ksheersagaragrawal / LotteryTicketPruning

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Study and Implementation of various neural network pruning techniques. Extending the lottery ticket hypothesis to structured pruning for accelerated training while maintaining uncertainty and accuracy. The focus is on simplifying the model's complexity without sacrificing its overall performance or leading to overfitting.

mnist-dataset uncertainty-quantification cifar10 accuracy-analysis pruning-algorithms monte-carlo-drop-out reliability-diagram expected-caliberation-error make-moons
  • Updated Feb 3, 2024
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