AE+SNNL

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClusteringonEMNIST-Balanced
Accuracy· 2020-06-05
0.792
SOTA
Improving k-Means Clustering Performance with Disentangled Internal Representations arXiv:2006.04535
Image ClusteringonEMNIST-Balanced
NMI· 2020-06-05
0.783
SOTA
Improving k-Means Clustering Performance with Disentangled Internal Representations arXiv:2006.04535
Image ClusteringonMNIST-test
Accuracy· 2020-06-05
0.962
best: 0.987 (DynAE)
Improving k-Means Clustering Performance with Disentangled Internal Representations arXiv:2006.04535
Image ClusteringonMNIST-test
NMI· 2020-06-05
0.903
best: 0.963 (DynAE)
Improving k-Means Clustering Performance with Disentangled Internal Representations arXiv:2006.04535