NVIDIA paper: Test-time training equivalent to linear attention
burkov · x · 2026-08-30
A paper from NVIDIA and collaborators mathematically demonstrates that a broad class of sequence models using test-time training can be reformulated as a form of linear attention. This reinterpretation simplifies understanding experiments and removes unnecessary complexity. By dropping certain optimizer and normalization choices, inference throughput increases up to 4x while maintaining similar performance.
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