KDD 2021 Tutorial

From Deep Learning to Deep Reasoning.

A tutorial on extending neural systems beyond surface statistics toward reasoning over structure, memory, relations, graphs, time, and multimodal data.

Presenters

Truyen Tran, Vuong Le, Hung Le, and Thao Le.
Applied AI Institute, Deakin University.

Core focus

Learning to reason from data, including how neural systems can support deduction, querying, structure, and deliberate inference.

Coverage

Sets, relations, graphs, time, multimodal reasoning, external memory, limited-label learning, and theory of mind.

Related material

The tutorial connects closely to the broader AI Future and reasoning agenda.

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