Presents I/O-efficient algorithms for approximate attention with almost-linear cost in n, approaching lower bounds in most parameter regimes.
Nyströmformer: A nyström-based algorithm for approximating self-attention
2 Pith papers cite this work. Polarity classification is still indexing.
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Dynamic parameterization of standard layers can replace explicit attention for linear-time global visual modeling.
citing papers explorer
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Approaching I/O-optimality for Approximate Attention
Presents I/O-efficient algorithms for approximate attention with almost-linear cost in n, approaching lower bounds in most parameter regimes.
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Linear-Time Global Visual Modeling without Explicit Attention
Dynamic parameterization of standard layers can replace explicit attention for linear-time global visual modeling.