Unsupervised Image Classification On Mnist
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| let-go-of-your-labels-with-unsupervised-1 | 97.8 |
| adversarial-autoencoders | 95.9 |
| infogan-interpretable-representation-learning | 95 |
| invariant-information-distillation-for | 99.3 |
| inferencing-based-on-unsupervised-learning-of | 96.61 |
| unsupervised-and-semi-supervised-learning | 95.73 |
| pixelgan-autoencoders | 94.73 |
| the-vampprior-mixture-model | 96.74 |
| learning-latent-representations-in-neural | 98.32 |
| deep-transformation-invariant-clustering | 97.3 |