Research map / Architectures and efficiency / Attention and transformers
Diagonal State Spaces are as Effective as Structured State Spaces
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a diagonal state-space parameterization instead of S4's diagonal-plus-low-rank parameterization | State-space sequence models · LRA average | accuracy: 80.21 vs 81.88 | Helped |
| Use a diagonal state-space parameterization instead of S4 | Raw Speech Commands classification · Speech Commands Raw | accuracy: 98.1 vs 98.2 | No clear effect |
| Replace Skew-Hippo initialization with random initialization of Lambda (ablation) | DSS-softmax · LRA and Speech Commands | accuracy: 60.6 -> 57.6; 84.8 -> 80.54; 85.7 -> 72.13; 84.6 -> 77.5; 97.7 -> 96.8 | Hurt |
| Limit the kernel length to 128 (ablation) | DSS-softmax · LRA and Speech Commands | accuracy: 60.6 -> 51.6; 84.8 -> 75.41; 85.7 -> 83.8; 84.6 -> 65.1; 97.7 -> 96.7 | Mixed |
| Omit the scale term Lambda^-1 (e^(Lambda Delta) - I) from the DSS-exp kernel (ablation) | DSS-exp · LRA | accuracy: 81.18 -> 65.03 average | Hurt |
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