1 citations · 2 across the 2 of their papers we have counts for
8 papers
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
Siheng Xiong, Yuan Yang, Ali Payani +2
Conventional embedding-based models approach event time prediction in temporal knowledge graphs (TKGs) as a ranking problem. However, they often fall short in capturing essential t…
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
Yuan Yang, Deepayan Sanyal, James Ainooson +3
We introduce a new neural architecture for solving visual abstract reasoning tasks inspired by human cognition, specifically by observations that human abstract reasoning often int…
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
Deepayan Sanyal, Joel Michelson, Yuan Yang +2
Research in child development has shown that embodied experience handling physical objects contributes to many cognitive abilities, including visual learning. One characteristic of…
A Categorical Framework of General Intelligence
Yang Yuan
Can machines think? Since Alan Turing asked this question in 1950, nobody is able to give a direct answer, due to the lack of solid mathematical foundations for general intelligenc…
Succinct Representations for Concepts
Yang Yuan
Foundation models like chatGPT have demonstrated remarkable performance on various tasks. However, for many questions, they may produce false answers that look accurate. How do we…
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
Yuan Yang, Deepayan Sanyal, Joel Michelson +2
While achieving unmatched performance on many well-defined tasks, deep learning models have also been used to solve visual abstract reasoning tasks, which are relatively less well-…