Research map / Graph learning / Knowledge and temporal graphs
Neural Production Systems
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| parallel instead of sequential rule application (ablation) | NPS · Shapes Stack test | prediction error: 1.68 -> 1.250 | Helped |
| sequential instead of parallel rule application (ablation) | NPS · Bouncing Balls test | ARI: 0.7813 -> 0.8518 | Helped |
| sequential instead of parallel rule application (ablation) | NPS · Bouncing Balls transfer | ARI: 0.1997 -> 0.3553 | Helped |
| replace attention-based rule selection with a routing MLP baseline with 4x more parameters (ablation) | NPS · Coordinate Arithmetic | MSE: 0.01 -> 0.04 | Hurt |
| replace CIN with NPS (parallel) in RPIN | RPIN · Shapes Stack test | prediction error: 1.254 -> 1.250 | No clear effect |
| replace CIN with NPS (parallel) in RPIN | RPIN · Shapes Stack transfer | prediction error: 6.377 -> 5.411 | Helped |
| replace GNN transition model in OP3 with NPS | OP3 · Sprites-MOT | MOTA: 89.1 -> 90.72 | No clear effect |
| replace SCOFF++ slot interactions with sequential rule application | SCOFF++ · Bouncing Balls transfer | ARI: 0.2632 -> 0.3553 | Helped |
| replace SCOFF++ slot interactions with parallel rule application | SCOFF++ · Bouncing Balls test | ARI: 0.8437 -> 0.7813 | Hurt |
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