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Benchmarks
Manifold Representation Learning on Swiss Roll, dSprites, and MNIST combined average
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9
k-NN Recall
GAE
1.512
3.456
5.4
7.344
Apr 8, 2026
k-NN Recall
KL Divergence (0.01)
KL Divergence (0.1)
KL Divergence (1)
MSE
Accuracy
Updated 9d ago
Evaluation Results
Method
Method
Links
k-NN Recall
KL Divergence (0.01)
KL Divergence (0.1)
KL Divergence (1)
MSE
Accuracy
GAE
2026.04
9
6.5
6.5
6
8
3
Vanilla AE
2026.04
7.8
9.2
8.8
8.2
7.2
9
GGAE
2026.04
7.5
8.2
9
8
7.5
10
IRAE
2026.04
7.2
6.8
7.2
7.2
7
8
CAE
2026.04
5.8
7
7.5
7
5.5
2
DN
2026.04
4.5
6
5.5
5.2
5.2
4
GRAE
2026.04
4
4.5
3.5
4.2
4.5
6
TAE
2026.04
3.8
2.5
2.8
3.2
4
7
SPAE
2026.04
3.2
3
3.2
4.2
4.8
5
BLAE
2026.04
1.8
1
1
1
1.2
1
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