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Learning Universal Policies via Text-Guided Video Generation


Feb 02, 2023
Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel

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* Project Website: https://universal-policy.github.io/ 

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Dissociating language and thought in large language models: a cognitive perspective


Jan 16, 2023
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum, Evelina Fedorenko

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* The two lead authors contributed equally to this work 

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NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants


Jan 12, 2023
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba

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* Project website: https://www.tshu.io/online_watch_and_help. Code: https://github.com/xavierpuigf/online_watch_and_help 

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3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis


Jan 09, 2023
Ilker Yildirim, Max H. Siegel, Amir A. Soltani, Shraman Ray Chaudhari, Joshua B. Tenenbaum

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Are Deep Neural Networks SMARTer than Second Graders?


Jan 05, 2023
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin Smith, Joshua B. Tenenbaum

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Top-Down Synthesis for Library Learning


Nov 29, 2022
Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

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* Accepted at POPL 2023 

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On the Complexity of Bayesian Generalization


Nov 26, 2022
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu

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