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ResearchFormerly WizWand

Image Classification on Caltech-256 (Efficiency Metrics)

3.16SpeedupInductive-SUBSELNET
1.2361.73552.2352.7345Sep 18, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Inductive-SUBSELNETRAR Target=20%2024.093.167,406.23
Transductive-SUBSELNETRAR Target=20%2024.093.127,747.82
Inductive-SUBSELNETRAR Target=10%2024.092.439,597.22
Bottom-b-loss+gumbelRAR Target=20%2024.092.369,510.12
Transductive-SUBSELNETRAR Target=10%2024.092.339,983.86
GradMatchRAR Target=20%2024.092.0712,507.9
GLISTERRAR Target=20%2024.091.7613,921.4
GradMatchRAR Target=10%2024.091.4516,499.3
GLISTERRAR Target=10%2024.091.3116,904.5