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Joshua B. Tenenbaum

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Learning Physical Graph Representations from Visual Scenes

Jun 24, 2020
Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins

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Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Jun 22, 2020
Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette

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DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Jun 15, 2020
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sable-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum

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Online Bayesian Goal Inference for Boundedly-Rational Planning Agents

Jun 13, 2020
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka

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Visual Grounding of Learned Physical Models

Apr 28, 2020
Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba

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Music Gesture for Visual Sound Separation

Apr 20, 2020
Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba

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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Apr 20, 2020
Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

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Too many cooks: Coordinating multi-agent collaboration through inverse planning

Mar 26, 2020
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner

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Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

Mar 25, 2020
Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

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