Generalization

[ICLR23] A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Inspired by humans’ exceptional ability to master arithmetic and generalize to new problems, we present a new dataset, …
Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
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[ICLR23] A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
[ICRA23] GenDexGrasp: Generalizable Dexterous Grasping
Generating dexterous grasping has been a long-standing and challenging robotic task. Despite recent progress, existing methods …
Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
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[ICRA23] GenDexGrasp: Generalizable Dexterous Grasping
[arXiv22] To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long …
Yu-Zhe Shi, Manjie Xu, Wenjuan Han, Yixin Zhu
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[arXiv22] To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts
[arXiv22] On the Complexity of Bayesian Generalization
We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., …
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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[arXiv22] On the Complexity of Bayesian Generalization
[arXiv22] Neural-Symbolic Recursive Machine for Systematic Generalization
Despite the tremendous success, existing machine learning models still fall short of human-like systematic generalization – …
Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
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[arXiv22] Neural-Symbolic Recursive Machine for Systematic Generalization
Chuyue Tang
CoRe, TongClass@PKU ‘20, Harvard Visiting Student
Chuyue Tang
[arXiv21] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Humans learn compositional and causal abstraction, i.e., knowledge, in response to the structure of naturalistic tasks. When presented …
Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
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[arXiv21] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Yuzhe Shi
CoRe, Undergrad@HUST, ‘18
Yuzhe Shi