Video Summary

The paper proposes a new method for training neural networks on large datasets. The method, called self-supervised learning, does not require labels for the data, which can be very expensive to obtain. Instead, the network is trained to perform a task that is related to the task it will be used for, such as predicting the next frame in a video. This method has been shown to achieve state-of-the-art results on a variety of tasks.