#101 DR. WALID SABA - Extrapolation, Vagueness and Behaviorism

MLST Discord! https://discord.gg/aNPkGUQtc5

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YT: https://youtu.be/snUf_LIfQII

We had a discussion with Dr. Walid Saba about whether or not MLP neural networks can extrapolate outside of the training support, and what it means to extrapolate in a vector space. Then we discussed the concept of vagueness in cognitive science, for example, what does it mean to be "rich" or what is a "pile of sand"? Finally we discussed behaviourism and the reward is enough hypothesis.

References:

A Spline Theory of Deep Networks [Balestriero]

https://proceedings.mlr.press/v80/balestriero18b/balestriero18b.pdf

The animation we showed of the spline theory was created by Ahmed Imtiaz Humayun (https://twitter.com/imtiazprio) and we will be showing an interview with Imtiaz and Randall very soon!

[00:00:00] Intro

[00:00:58] Interpolation vs Extrapolation

[00:24:38] Type 1 Type 2 generalisation and compositionality / Fodor / Systematicity

[00:32:18] Keith's brain teaser

[00:36:53] Neural turing machines / discrete vs continuous / learnability

[00:49:56] Part 2:Vagueness

[01:06:50] Concepts grounded in language

[01:19:58] Behaviorism / thinking / reward is enough