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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 10, 2021
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

* Project website: http://svl.stanford.edu/igibson/ 

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BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments


Aug 06, 2021
Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei


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IGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks


Aug 06, 2021
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

* Submitted to CoRL 2021. Project website: http://svl.stanford.edu/igibson/ 

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The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions


Jul 13, 2021
Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix


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iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes


Dec 08, 2020
Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese


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Identifying Learning Rules From Neural Network Observables


Oct 22, 2020
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins

* NeurIPS 2020 Camera Ready Version, 21 pages including supplementary information, 13 figures 

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Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images


Feb 08, 2019
Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix

* International Conference on Learning Representations (ICLR) 2019 

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