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Benchmarks
Disentangled Representation Learning on Noisy Swiss Roll ρ = 0.3
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0.502
Mutual Information I(z; w)
CCVAE
-0.018
0.117
0.252
0.387
Jun 20, 2025
Mutual Information I(z; w)
Negative Log-Likelihood (NLL)
Delta Bayes Error (Δ – Bayes)
Updated 17d ago
Evaluation Results
Method
Method
Links
Mutual Information I(z; w)
Negative Log-Likelihood (NLL)
Delta Bayes Error (Δ – Bayes)
CCVAE
Noise level (ρ)=0.3
2025.06
0.502
3.302
2.21
DIVA
Noise level (ρ)=0.3
2025.06
0.336
3.302
1.88
CSVAE
Adversarial training=f...
2025.06
0.047
3.303
23.88
CSVAE
Adversarial training=t...
2025.06
0.031
3.302
17.99
HCSVAE
Adversarial training=f...
2025.06
0.024
3.302
30
DisCoVR
Noise level (ρ)=0.3
2025.06
0.005
3.302
1.14
HCSVAE
Adversarial training=t...
2025.06
0.002
3.302
30
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