Buckets:
| table,task_or_dataset,variant,metric,mean,standard_error_or_note | |
| 1,monochromatic_0_deleted,m0,no_rmse,0.060,0.001 | |
| 1,monochromatic_0_deleted,m3,no_rmse,0.053,0.002 | |
| 1,monochromatic_0_deleted,m5,no_rmse,0.057,0.002 | |
| 1,monochromatic_0_deleted,m10,no_rmse,0.055,0.002 | |
| 1,monochromatic_5_deleted,m0,no_rmse,0.087,0.001 | |
| 1,monochromatic_5_deleted,m3,no_rmse,0.075,0.002 | |
| 1,monochromatic_5_deleted,m5,no_rmse,0.075,0.001 | |
| 1,monochromatic_5_deleted,m10,no_rmse,0.068,0.005 | |
| 1,monochromatic_10_deleted,m0,no_rmse,0.081,0.001 | |
| 1,monochromatic_10_deleted,m3,no_rmse,0.072,0.003 | |
| 1,monochromatic_10_deleted,m5,no_rmse,0.070,0.002 | |
| 1,monochromatic_10_deleted,m10,no_rmse,0.063,0.002 | |
| 1,monochromatic_15_deleted,m0,no_rmse,0.068,0.002 | |
| 1,monochromatic_15_deleted,m3,no_rmse,0.064,0.003 | |
| 1,monochromatic_15_deleted,m5,no_rmse,0.056,0.004 | |
| 1,monochromatic_15_deleted,m10,no_rmse,0.058,0.002 | |
| 2,shortest_path,m0,no_rmse,0.065,0.005 | |
| 2,shortest_path,m3,no_rmse,0.048,0.006 | |
| 2,shortest_path,m5,no_rmse,0.038,0.006 | |
| 2,shortest_path,m10,no_rmse,0.045,0.004 | |
| 3,MNIST,performer_baseline,accuracy,97.56,0.02 | |
| 3,MNIST,performer_wire,accuracy,98.10,0.01 | |
| 3,CIFAR10,performer_baseline,accuracy,70.61,0.04 | |
| 3,CIFAR10,performer_wire,accuracy,71.15,0.03 | |
| 3,PATTERN,performer_baseline,accuracy,85.71,0.03 | |
| 3,PATTERN,performer_wire,accuracy,86.63,0.06 | |
| 3,CLUSTER,performer_baseline,accuracy,76.90,0.03 | |
| 3,CLUSTER,performer_wire,accuracy,77.53,0.03 | |
| 3,ogbg-molhiv,performer_baseline,rocauc,0.776,0.002 | |
| 3,ogbg-molhiv,performer_wire,rocauc,0.785,0.002 | |
| 3,ogbg-molpcba,performer_baseline,average_precision,0.238,0.003 | |
| 3,ogbg-molpcba,performer_wire,average_precision,0.264,0.001 | |
| 3,ogbg-ppa,performer_baseline,accuracy,0.8009,0.0008 | |
| 3,ogbg-ppa,performer_wire,accuracy,0.804,0.002 | |
| 3,ogbg-code2,performer_baseline,f1,0.1731,0.0009 | |
| 3,ogbg-code2,performer_wire,f1,0.1733,0.0009 | |
| 3,Peptides-func,performer_baseline,average_precision,64.4,0.1 | |
| 3,Peptides-func,performer_wire,average_precision,64.9,0.1 | |
| 3,Peptides-struct,performer_baseline,mae,0.2616,0.0004 | |
| 3,Peptides-struct,performer_wire,mae,0.2566,0.0004 | |
| 3,PascalVOC-SP,performer_baseline,f1,0.367,0.001 | |
| 3,PascalVOC-SP,performer_wire,f1,0.376,0.001 | |
| 3,MalNet-Tiny,performer_baseline,accuracy,92.81,0.05 | |
| 3,MalNet-Tiny,performer_wire,accuracy,93.46,0.02 | |
| 4,ModelNet40_transformer,NoPE,accuracy,91.8,single_seed | |
| 4,ModelNet40_transformer,Cartesian_RoPE,accuracy,91.8,single_seed | |
| 4,ModelNet40_transformer,WIRE,accuracy,93.4,single_seed | |
| 4,ModelNet40_performer,NoPE,accuracy,90.1,single_seed | |
| 4,ModelNet40_performer,Cartesian_RoPE,accuracy,90.8,single_seed | |
| 4,ModelNet40_performer,WIRE,accuracy,90.8,single_seed | |
| 4,ShapeNet_transformer,NoPE,accuracy,93.1,single_seed | |
| 4,ShapeNet_transformer,Cartesian_RoPE,accuracy,93.2,single_seed | |
| 4,ShapeNet_transformer,WIRE,accuracy,93.2,single_seed | |
| 4,ShapeNet_performer,NoPE,accuracy,92.8,single_seed | |
| 4,ShapeNet_performer,Cartesian_RoPE,accuracy,93.2,single_seed | |
| 4,ShapeNet_performer,WIRE,accuracy,93.0,single_seed | |
Xet Storage Details
- Size:
- 2.92 kB
- Xet hash:
- de584bda5e31f2bd636e61054bfd0ca94132147188f25994603dc479e0855e18
·
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