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Image Classification on Tiny ImageNet (Speedup and Memory)

3.97SpeedupTransductive-SUBSELNET
0.92281.71392.5053.2961Sep 18, 2024

Evaluation results

MethodLinks
Transductive-SUBSELNETRAR Target=20%2024.093.9712,447.1
Inductive-SUBSELNETRAR Target=20%2024.093.5414,505.4
Bottom-b-loss+gumbelRAR Target=20%2024.092.7215,085.9
Bottom-b-lossRAR Target=10%2024.092.5415,947.6
Transductive-SUBSELNETRAR Target=10%2024.092.5416,281.1
EL2NRAR Target=10%2024.092.321,811.1
GLISTERRAR Target=20%2024.092.1822,687.6
GraNdRAR Target=10%2024.092.1624,822.6
GradMatchRAR Target=20%2024.092.0825,530.4
Inductive-SUBSELNETRAR Target=10%2024.092.0217,326.6
Bottom-b-loss+gumbelRAR Target=10%2024.091.8817,624.4
GLISTERRAR Target=10%2024.091.6526,705.5
GradMatchRAR Target=10%2024.091.5328,249.9
Selection-via-ProxyRAR Target=10%2024.091.0430,717.2