Generalization

[NeurIPS23] Active Reasoning in an Open-World Environment

Recent advances in vision-language learning have achieved notable success on complete-information question-answering datasets through …

Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu

[NeurIPS23] Active Reasoning in an Open-World Environment

[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

[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

[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

[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

[ICLR21Workshop] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving