77 citations · 479 across the 36 of their papers we have counts for
3 papers · 2 filters
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel +2
Humans can learn and reason under substantial uncertainty in a space of infinitely many concepts, including structured relational concepts ("a scene with objects that have the same…
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman, Brenden M. Lake
People can learn rich, general-purpose conceptual representations from only raw perceptual inputs. Current machine learning approaches fall well short of these human standards, alt…
Learning Compositional Rules via Neural Program Synthesis
Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum +1
Many aspects of human reasoning, including language, require learning rules from very little data. Humans can do this, often learning systematic rules from very few examples, and c…