Hierarchical Prototype Emergence in Modern Hopfield Models
Hierarchical correlations are a universal feature of any realistic model of data, and the question of how associative memory models may learn these correlations and generalize beyond them to construct new sensible images is an important step towards understanding more complex modern architectures such as diffusion mode...
Aditya Cowsik, Adithya Sriram
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