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Joshua B. Tenenbaum

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The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving

Jul 22, 2019
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum

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Neurally-Guided Structure Inference

Jun 17, 2019
Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu

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DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

Jun 11, 2019
Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song

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Finding Friend and Foe in Multi-Agent Games

Jun 05, 2019
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum

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The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Apr 26, 2019
Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu

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Combining Physical Simulators and Object-Based Networks for Control

Apr 13, 2019
Anurag Ajay, Maria Bauza, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie P. Kaelbling

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Unsupervised Discovery of Parts, Structure, and Dynamics

Mar 12, 2019
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

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Infinite Mixture Prototypes for Few-Shot Learning

Feb 12, 2019
Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum

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The Omniglot Challenge: A 3-Year Progress Report

Feb 09, 2019
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum

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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Jan 29, 2019
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

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