Topic: Rich feature learning

Equality reasoning is ubiquitous and purely abstract -- sameness or difference may be evaluated no matter the nature of the underlying objects. As a result, same-different tasks (SD) have been extensively studied as a starting point for understanding abstract reasoning in humans, and comparatively across animal species. With the rise of neural networks (NN) that exhibit a striking apparent proficiency for abstractions, equality reasoning in NNs has also gained interest. Yet despite the extensive study, conclusions about equality reasoning vary widely. Some authors claim that SD can be learned