13 citations · 28 across the 8 of their papers we have counts for
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cs.CV2023★ 2 cited
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori +4
Although deep neural networks can achieve human-level performance on many object recognition benchmarks, prior work suggests that these same models fail to learn simple abstract re…
cs.CV2023★ 1 cited
Training Priors Predict Text-To-Image Model Performance
Charles Lovering, Ellie Pavlick
Text-to-image models can often generate some relations, i.e., "astronaut riding horse", but fail to generate other relations composed of the same basic parts, i.e., "horse riding a…