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Dive into the research topics where Josh Tenenbaum is active.

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Featured researches published by Josh Tenenbaum.


Developmental Science | 2015

Surprise! Infants consider possible bases of generalization for a single input example

LouAnn Gerken; Colin Dawson; Razanne Chatila; Josh Tenenbaum

Infants have been shown to generalize from a small number of input examples. However, existing studies allow two possible means of generalization. One is via a process of noting similarities shared by several examples. Alternatively, generalization may reflect an implicit desire to explain the input. The latter view suggests that generalization might occur when even a single input example is surprising, given the learners current model of the domain. To test the possibility that infants are able to generalize based on a single example, we familiarized 9-month-olds with a single three-syllable input example that contained either one surprising feature (syllable repetition, Experiment 1) or two features (repetition and a rare syllable, Experiment 2). In both experiments, infants generalized only to new strings that maintained all of the surprising features from familiarization. This research suggests that surprise can promote very rapid generalization.


neural information processing systems | 2016

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Jiajun Wu; Chengkai Zhang; Tianfan Xue; Bill Freeman; Josh Tenenbaum


Developmental Science | 2013

The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model

J. Kiley Hamlin; Tomer Ullman; Josh Tenenbaum; Noah D. Goodman; Chris I. Baker


adaptive agents and multi-agents systems | 2018

Building Machines that Learn and Think Like People

Josh Tenenbaum


UTLW'11 Proceedings of the 2011 International Conference on Unsupervised and Transfer Learning workshop - Volume 27 | 2011

One-shot learning with a hierarchical nonparametric Bayesian model

Ruslan Salakhutdinov; Josh Tenenbaum; Antonio Torralba


neural information processing systems | 2017

Learning to See Physics via Visual De-animation

Jiajun Wu; Erika Lu; Pushmeet Kohli; Bill Freeman; Josh Tenenbaum


Cognitive Science | 2016

Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction.

Max Kleiman-Weiner; Mark K. Ho; Joseph L. Austerweil; Michael L. Littman; Josh Tenenbaum


neural information processing systems | 2017

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

Jiajun Wu; Yifan Wang; Tianfan Xue; Xingyuan Sun; Bill Freeman; Josh Tenenbaum


Cognitive Science | 2017

Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why?

Max Kleiman-Weiner; Alex Shaw; Josh Tenenbaum


Cognitive Science | 2017

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints.

Ilker Yildirim; Tobias Gerstenberg; Basil Saeed; Marc Toussaint; Josh Tenenbaum

Collaboration


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Jiajun Wu

Massachusetts Institute of Technology

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Bill Freeman

Carnegie Mellon University

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Tomer Ullman

Massachusetts Institute of Technology

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Laura Schulz

Massachusetts Institute of Technology

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Chengkai Zhang

Massachusetts Institute of Technology

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Kelsey Allen

Massachusetts Institute of Technology

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