"One promising approach, known as “dropout”, runs a problem through a neural network algorithm multiple times, each with slightly different settings. We can the

"One promising approach, known as “dropout”, runs a problem through a neural network algorithm multiple times, each with slightly different settings. We can then ask to what extent the resulting answers agree -- a proxy for how uncertain the network is about its choice." Isn't this just the good old consensus algorithm? And things get tense when you start to consider a real-world deployment or a distributed system with which some of the nodes trying to reach a consensus might be malicious; cf. https://news.ycombinator.com/item?id=39086775 https://news.ycombinator.com/item?id=39086775