Presenter:

Brenden Lake, New York University [PUBS]

Lectures:

Principles for Human-like Learning [VIDEO]
Concepts and Questions as Programs [VIDEO]
Advancing AI Through Cognitive Science [GITHUB]

Readings:

Primary: Lake et al [3] Secondary: [1, 2]

References:

[1]	Reuben Feinman and Brenden M. Lake. Learning inductive biases with simple neural networks. CoRR, arXiv:1802.02745, 2018.
[2]	Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum. Human-level concept learning through probabilistic program induction. Science, 350(6266):1332-1338, 2015.
[3]	Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman. Building machines that learn and think like people. Behavioral and Brain Sciences, 40:e253, 2017.