Can you give a summary of "The Lottery Ticket Hypothesis" by Jonathan Frankle and Michael Carbin?

" The Lot tery T icket H yp othes is " by Jonathan Frank le and Michael Car bin is a research paper that propos es a new approach to training deep learning models . The authors argue that current deep learning models are limited by the fact that they are trained on large amounts of data that may not be representative of the real world . They propose a new approach called the " lot tery ticket hypothesis ," which suggests that there may be smaller sub sets of data within a larger dataset that are sufficient for training a deep learning model to perform well on a specific task . The authors demonstrate this hypothesis by training a deep neural network on a small subset of data from the M N IST dataset and showing that it performs as well as a network trained on the entire dataset . They also provide evidence that this approach can be applied to other datasets and tasks . Overall , the paper suggests that the lot tery ticket hypothesis could lead to more efficient and effective deep learning training . </s>