Thomas Pouncy

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Pouncy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Josh Tenenbaum

Papers from Thomas Pouncy's perspective

Ordered by how strongly the researchers Thomas Pouncy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Building Machines that Learn and Think Like People
  2. Human-level concept learning through probabilistic program induction
  3. Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
  4. Core knowledge.
  5. Categorization and Naming in Children: Problems of Induction
  6. The importance of shape in early lexical learning
  7. Infants' Physical World
  8. How Children Learn the Meanings of Words
  9. An Account of Infants' Physical Reasoning
  10. The role of theories in conceptual coherence.

Their papers