Earplugs. You can learn to sleep with them, no problem. I did it in college!

I want to know when it resets.

Is it midnight, like when people fast for Lent?

Or is it sun-up, like with that Mogwai rule?

> We begin our investigation into dropout training dynamics by making an intriguing observation on gradient norms, which then leads us to a key empirical finding: during the initial stages of training, dropout reduces gradient variance across mini-batches and allows the model to update in more consistent directions. These directions are also more aligned with the entire dataset’s gradient direction (Figure 1).

Interesting. Has anyone looked at optimally controlling the gradient variance with other means? I.e. minibatch size?

.22 should be fine if you can get some silver bullets.

They will be among the cheapest silver ammo, because of the low caliber.

What's a kidney for a filtered pool? You got two!

At the end of RL training, they don't just have an efficient matrix multiplication algorithm (sequence of steps), they also have the policy they learned.

I don't know what that adds, though. Maybe it will generalize over input size?