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NeurIPS 2023 On Sparse Modern Hopfield Model Paper Conference by chunleiqu is a document available to read on EtoBox.

The document introduces the Sparse Modern Hopfield Model, a sparse extension of the modern Hopfield model that incorporates a memory-retrieval dynamics aligned with sparse attention mechanisms. It provides theoretical advancements, including a closed-form sparse Hopfield energy and a sparsity-dependent memory retrieval error bound, while also demonstrating empirical superiority over dense counterparts in various applications. The work aims to enhance the efficiency and robustness of memory retrieval in deep

Author
chunleiqu
Language
EN