The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural

the lottery ticket hypothesis
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To recover performance, the lottery ticket rewinding technique, proposed by Frankle & Carbin , is employed It consists of retraining the subset of

Essentially, the hypothesis states that a neural network contains a smaller subset of weights that can perform as well or better as the network it is contained The winning tickets, without the remaining redundancy of the wide network, train faster than the wide network In fact, the skinnier they are,

dhan kesari lottery aaj ka result Lottery Ticket Hypothesis raises keen attention to identifying sparse train- able subnetworks, or winning tickets, which can be trained in isolation Iterative magnitude pruning is a state of the art algorithm that can find such highly sparse matching subnetworks, known as winning