Frames the Transformer as associative memory, derives retrieval SNR for linear, softmax, ReLU, and SoLU kernels, and proposes DeltaFormer, a softmax-plus-delta-rule variant claimed to exceed TC0 expressivity.
Flashattention: Fast and memory-efficient exact attention with io-awareness
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Understanding Transformer from the Perspective of Associative Memory
Frames the Transformer as associative memory, derives retrieval SNR for linear, softmax, ReLU, and SoLU kernels, and proposes DeltaFormer, a softmax-plus-delta-rule variant claimed to exceed TC0 expressivity.