Balanced Mixture

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Methodology6 results

Neural Architecture SearchonCIFAR-100
Accuracy (% )· 2023-06-21
79.61
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982
Neural Architecture SearchonCIFAR-10
Accuracy (% )· 2023-06-21
91.55
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982
Neural Architecture SearchonFood-101
Accuracy (% )· 2023-06-21
84.73
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982
AutoMLonCIFAR-100
Accuracy (% )· 2023-06-21
79.61
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982
AutoMLonCIFAR-10
Accuracy (% )· 2023-06-21
91.55
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982
AutoMLonFood-101
Accuracy (% )· 2023-06-21
84.73
SOTA
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture arXiv:2306.11982