Model card
ASDFormer.
Researchopen-sourceTransformer with Mixture of Experts
Transformer-based with MoE decoder. State-of-the-art on ABIDE dataset with interpretable attention mechanisms.
§ 02 · Benchmarks
Every benchmark ASDFormer has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | auc | 81.2% | #2 | 2025-08-19 | source ↗ |
| 02 | ABIDE I | Medical · Disease Classification | accuracy | 74.6% | #12 | 2025-08-19 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Papers
1 paper with results for ASDFormer.
§ 05 · Related models
Other Research models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
paper
2
results
2 of 2 rows marked verified.