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A Unifying Framework for Concept-Based Representational Similarity

Dhimoïla, Grégoire et al.
arXiv (All) · Papers
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machine-learning
Learned representations across models and modalities often exhibit striking structural similarities, suggesting shared underlying concept decompositions. However, concept alignment remains poorly defined: existing approaches optimize different objectives under the same terminology, obscuring what is
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