Generalization

[ICML23] On the Complexity of Bayesian Generalization
We examine concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or …
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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[ICML23] On the Complexity of Bayesian 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
[ICLR21Workshop] 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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[ICLR21Workshop] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving