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Found 2 papers, 1 papers with code
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Foundation models like CLIP are trained on hundreds of millions of samples and effortlessly generalize to new tasks and inputs.
Provable Compositional Generalization for Object-Centric Learning
Learning representations that generalize to novel compositions of known concepts is crucial for bridging the gap between human and machine perception.
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