Josh Tenenbaum

Publications
Influence

The Large-Scale Structure of Semantic Networks

M. Steyvers, Josh Tenenbaum
Computer Science
2005

ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

A. Barbu, D. Mayo, +5 authors Boris Katz
Computer Science
NeurIPS
2019

We collect a large real-world test set, ObjectNet, for object recognition with controls where object backgrounds, rotations, and imaging viewpoints are random. Expand

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, C. Baker
Psychology, Medicine
Developmental science
1 February 2013

Evaluating individuals based on their pro- and anti-social behaviors is fundamental to successful human interaction. Recent research suggests that even preverbal infants engage in social evaluation;… Expand

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

L. Gerken, C. Dawson, Razanne Chatila, Josh Tenenbaum
Psychology, Computer Science
Developmental science
1 December 2014

We familiarized 9-month-olds with a single three-syllable input example that contained either one surprising feature (repetition and a rare syllable, Experiment 1) or two features (re repetitions and rare syllables, Experiment 2). Expand

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations

K. Smith, Lingjie Mei, +4 authors Tomer Ullman
Computer Science
NeurIPS
2019

We propose ADEPT, a model that uses a coarse (approximate geometry) object-centric representation for dynamic 3D scene understanding. Expand

McGovern Institute for Brain Research

P. Mcgovern, P. Mcgovern, +12 authors B. Yu
2005

The McGovern Institute for Brain Research at MIT is led by a team of world-renowned neuroscientists committed to meeting two great challenges of modern science: understanding how the brain works and… Expand

A stochastic programming perspective on nonparametric Bayes

Daniel Roy, Vikash K. Mansinghka, N. Goodman, Josh Tenenbaum
2008

We use Church, a Turing-universal language for stochastic generative processes and the probability distributions they induce, to study and extend several objects in nonparametric Bayesian statistics.… Expand

Efficient inverse graphics in biological face processing

I. Yildirim, Mario Belledonne, W. Freiwald, Josh Tenenbaum
Computer Science, Medicine
Science Advances
1 March 2020

Neural networks in the primate brain may invert a graphics style model of how 3D object shapes and textures cause observed images. Expand

Modeling Parts, Structure, and System Dynamics via Predictive Learning

Zhenjia Xu, Zhijian Liu, +4 authors Jiajun Wu
Computer Science
2019

Visual Concept-Metaconcept Learning

C. Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, J. Wu
Computer Science, Mathematics
NeurIPS
4 February 2020

We propose the visual concept-metaconcept learner (VCML) for joint learning of concepts and metaconcepts from images and associated question-answer pairs. Expand

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