computer vision
Last modified on September 11, 2021
Links to “computer vision”
compositionality (A machine learning example of compositionality)
is that a computer vision model’s early layers will implement an edge detector, curve detector, etc., which are modular pieces that are then combined in various ways by higher-level layers to form dog detectors, car detectors, etc.
But ultimately the ways in which machine learning models, at the moment, can “intelligently” combine different pieces and parts is limited. See the tweet about DALL-E trying to stack blocks, bless its heart:
The ways in which #dalle is so incredible (and it is) really put a fine point on the ways in which compositionality is so hard pic.twitter.com/I6DC4g53MK
— David Madras (@david_madras) April 8, 2022
One step towards compositionality is the idea of neuro-symbolic models. Combining logic-based systems with connectionist methods.