In Jan 2012, I made a post on Google+ reproducing a dialog that occured between Geoff Hinton and Radford Neal, while Radford was giving a talk at a CIfAR workshop in 2004:

- Radford Neal: I don't necessarily think that the Bayesian method is the best thing to do in all cases...

- Geoff Hinton: Sorry Radford, my prior probability for you saying this is zero, so I couldn't hear what you said.

Vincent Vanhoucke sensed that this could be the start of a Geoff Hinton Facts meme. So, here we go:

Geoff Hinton doesn't need to make hidden units. They hide by themselves when he approaches.

Geoff Hinton doesn't disagree with you, he contrastively diverges (from Vincent Vanhoucke)

Deep Belief Nets actually believe deeply in Geoff Hinton.

Geoff Hinton discovered how the brain really works. Once a year for the last 25 years.

Markov random fields think Geoff Hinton is intractable.

If you defy Geoff Hinton, he will maximize your entropy in no time. Your free energy will be gone even before you reach equilibrium.

Geoff Hinton can make you regret without bounds.

Geoff Hinton can make your weight decay (your weight, but unfortunately not mine).

Geoff Hinton doesn't need support vectors. He can support high-dimensional hyperplanes with his pinky finger.

A little-known fact about Geoff Hinton: he frequents Bayesians with prior convictions (with thanks to David Schwab).

All kernels that ever dared approaching Geoff Hinton woke up convolved.

Most farmhouses are surrounded by nice fields. Geoff Hinton's farmhouse lies in a hyper-plain, surrounded by a mean field, and has kernels in la grange.

The only kernel Geoff Hinton has ever used is a kernel of truth.

After an encounter with Geoff Hinton, support vectors become unhinged and suffer optimal hyper-pain (with thanks to Andrew Jamieson).

Geoff Hinton's generalizations are boundless.

Geoff Hinton goes directly to third Bayes.

Never interrupt one of Geoff Hinton's talks: you will suffer his wrath if you maximize the bargin'.