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Found 2 papers, 1 papers with code
A Benchmark for Compositional Visual Reasoning
Overall, we hope that our challenge will spur interest in the development of neural architectures that can learn to harness compositionality toward more efficient learning.
Iterative VAE as a predictive brain model for out-of-distribution generalization
Our ability to generalize beyond training data to novel, out-of-distribution, image degradations is a hallmark of primate vision.
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