94 citations · 185 across the 10 of their papers we have counts for
10 papers
CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition
Lance Ying, Jinzhou Wu, Yingshan Susan Wang +53
Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways…
How does the primate brain combine generative and discriminative computations in vision?
Benjamin Peters, James J. DiCarlo, Todd Gureckis +10
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as we…
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces
Qi Lin, Zifan Li, John Lafferty +1
Much of what we remember is not due to intentional selection, but simply a by-product of perceiving. This raises a foundational question about the architecture of the mind: How doe…
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis
Ilker Yildirim, Max H. Siegel, Amir A. Soltani +2
Many surface cues support three-dimensional shape perception, but people can sometimes still see shape when these features are missing -- in extreme cases, even when an object is c…
Explaining intuitive difficulty judgments by modeling physical effort and risk
Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre +3
The ability to estimate task difficulty is critical for many real-world decisions such as setting appropriate goals for ourselves or appreciating others' accomplishments. Here we g…
Modeling human intuitions about liquid flow with particle-based simulation
Christopher J. Bates, Ilker Yildirim, Joshua B. Tenenbaum +1
Humans can easily describe, imagine, and, crucially, predict a wide variety of behaviors of liquids--splashing, squirting, gushing, sloshing, soaking, dripping, draining, trickling…