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cs.CV2026
Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds
Thomas Fel, Matthew Kowal, Mozes Jacobs +22
What is the geometry of a visual percept? The most widely used protocols for decomposing neural network representations into interpretable parts treat concepts as isolated directio…
cs.CV2024
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
Martha Lewis, Nihal V. Nayak, Peilin Yu +4
Large-scale neural network models combining text and images have made incredible progress in recent years. However, it remains an open question to what extent such models encode co…