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Graphical API Recommendation on Python 13

83.4mAPPlot-Adapter
59.209665.489871.7778.0502Mar 27, 2026

Evaluation results

MethodLinks
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.19, Version=V2, Bottleneck Dimension=64, Projection matrix sharing=True2026.0383.4
Plot-AdapterPre-training=IN21K, Avg. Params(M)=1.31, Version=V1, Bottleneck Dimension=64, Projection matrix sharing=False2026.0383.05
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.06, Version=V2, Bottleneck Dimension=4, Projection matrix sharing=True2026.0382.05
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.08, Version=V2, Bottleneck Dimension=16, Projection matrix sharing=True2026.0381.89
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.12, Version=V1, Bottleneck Dimension=4, Projection matrix sharing=False2026.0381.36
Plot-AdapterPre-training=MAE, Avg. Params(M)=1.31, Version=V1, Bottleneck Dimension=64, Projection matrix sharing=False2026.0381.22
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.35, Version=V1, Bottleneck Dimension=16, Projection matrix sharing=False2026.0381.07
Full-tuningPre-training=IN21K, Avg. Params(M)=85.812026.0380.12
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.19, Version=V2, Bottleneck Dimension=64, Projection matrix sharing=True2026.0379.9
VPTPre-training=IN21K, Avg. Params(M)=0.15, Bottleneck/Prompt Length=162026.0379.44
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.06, Version=V2, Bottleneck Dimension=4, Projection matrix sharing=True2026.0379.24
LinearPre-training=IN21K, Avg. Params(M)=85.812026.0379.23
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.08, Version=V2, Bottleneck Dimension=16, Projection matrix sharing=True2026.0379.09
AdaptFormerPre-training=IN21K, Avg. Params(M)=0.08, Bottleneck Dimension=42026.0379.09
Full-tuningPre-training=MAE, Avg. Params(M)=85.812026.0378.73
AdaptFormerPre-training=IN21K, Avg. Params(M)=1.19, Bottleneck Dimension=642026.0378.59
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.35, Version=V1, Bottleneck Dimension=16, Projection matrix sharing=False2026.0378.47
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.12, Version=V1, Bottleneck Dimension=4, Projection matrix sharing=False2026.0377.62
VPTPre-training=MAE, Avg. Params(M)=0.04, Bottleneck/Prompt Length=42026.0376.81
AdaptFormerPre-training=IN21K, Avg. Params(M)=0.30, Bottleneck Dimension=162026.0376.67
LinearPre-training=MAE, Avg. Params(M)=85.812026.0376.65
VPTPre-training=IN21K, Avg. Params(M)=0.04, Bottleneck/Prompt Length=42026.0376.18
VPTPre-training=IN21K, Avg. Params(M)=0.07, Bottleneck/Prompt Length=82026.0375.9
AdaptFormerPre-training=MAE, Avg. Params(M)=0.08, Bottleneck Dimension=42026.0375.38
AdaptFormerPre-training=MAE, Avg. Params(M)=0.30, Bottleneck Dimension=162026.0375.32
VPTPre-training=MAE, Avg. Params(M)=0.15, Bottleneck/Prompt Length=162026.0375.24
VPTPre-training=MAE, Avg. Params(M)=0.07, Bottleneck/Prompt Length=82026.0374
AdaptFormerPre-training=MAE, Avg. Params(M)=1.19, Bottleneck Dimension=642026.0373.22
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.08, Version=V2, Bottleneck Dimension=16, Projection matrix sharing=True2026.0369.12
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.06, Version=V2, Bottleneck Dimension=4, Projection matrix sharing=True2026.0369.1
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.19, Version=V2, Bottleneck Dimension=64, Projection matrix sharing=True2026.0369.09
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.12, Version=V1, Bottleneck Dimension=4, Projection matrix sharing=False2026.0368.9
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.19, Version=V2, Bottleneck Dimension=64, Projection matrix sharing=True2026.0368.78
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.35, Version=V1, Bottleneck Dimension=16, Projection matrix sharing=False2026.0368.29
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.12, Version=V1, Bottleneck Dimension=4, Projection matrix sharing=False2026.0368.16
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.08, Version=V2, Bottleneck Dimension=16, Projection matrix sharing=True2026.0368.16
Plot-AdapterPre-training=IN21K, Avg. Params(M)=1.31, Version=V1, Bottleneck Dimension=64, Projection matrix sharing=False2026.0367.86
Full-tuningPre-training=IN21K, Avg. Params(M)=85.812026.0367.65
Plot-AdapterPre-training=MAE, Avg. Params(M)=1.31, Version=V1, Bottleneck Dimension=64, Projection matrix sharing=False2026.0367.33
Plot-AdapterPre-training=IN21K, Avg. Params(M)=0.06, Version=V2, Bottleneck Dimension=4, Projection matrix sharing=True2026.0367.26
Plot-AdapterPre-training=MAE, Avg. Params(M)=0.35, Version=V1, Bottleneck Dimension=16, Projection matrix sharing=False2026.0367.02
AdaptFormerPre-training=IN21K, Avg. Params(M)=0.08, Bottleneck Dimension=42026.0367.02
VPTPre-training=IN21K, Avg. Params(M)=0.07, Bottleneck/Prompt Length=82026.0366.95
LinearPre-training=IN21K, Avg. Params(M)=85.812026.0366.9
VPTPre-training=IN21K, Avg. Params(M)=0.04, Bottleneck/Prompt Length=42026.0366.84
AdaptFormerPre-training=IN21K, Avg. Params(M)=1.19, Bottleneck Dimension=642026.0366.71
AdaptFormerPre-training=IN21K, Avg. Params(M)=0.30, Bottleneck Dimension=162026.0366.62
VPTPre-training=IN21K, Avg. Params(M)=0.15, Bottleneck/Prompt Length=162026.0365.85
Full-tuningPre-training=MAE, Avg. Params(M)=85.812026.0364.49
LinearPre-training=MAE, Avg. Params(M)=85.812026.0362.78
AdaptFormerPre-training=MAE, Avg. Params(M)=0.30, Bottleneck Dimension=162026.0362.05
VPTPre-training=MAE, Avg. Params(M)=0.07, Bottleneck/Prompt Length=82026.0361.53
AdaptFormerPre-training=MAE, Avg. Params(M)=0.08, Bottleneck Dimension=42026.0361.4
VPTPre-training=MAE, Avg. Params(M)=0.15, Bottleneck/Prompt Length=162026.0361.16
AdaptFormerPre-training=MAE, Avg. Params(M)=1.19, Bottleneck Dimension=642026.0361.13
VPTPre-training=MAE, Avg. Params(M)=0.04, Bottleneck/Prompt Length=42026.0360.14