List your company

Image Classification on CIFAR-100 (test) (Accuracy and Speedup)

0.758AccuracyONLINESUBMOD
0.637360.668680.70.73132Nov 28, 2025

Evaluation results

MethodLinks
ONLINESUBMODBudget Fraction=50%, Backbone=ResNet2025.110.7581.92
RHO-LOSSBudget Fraction=50%, Backbone=ResNet2025.110.7571.2
MILOBudget Fraction=50%, Backbone=ResNet2025.110.7561.95
BOSSBudget Fraction=50%, Backbone=ResNet2025.110.7541.9
ONLINESUBMODBudget Fraction=30%, Backbone=ResNet2025.110.7543.3
GRADMATCHBudget Fraction=50%, Backbone=ResNet2025.110.7531.3
CRAIGBudget Fraction=50%, Backbone=ResNet2025.110.7511.5
RHO-LOSSBudget Fraction=30%, Backbone=ResNet2025.110.7481.9
MILOBudget Fraction=30%, Backbone=ResNet2025.110.7463.5
GRADMATCHBudget Fraction=30%, Backbone=ResNet2025.110.7463.1
GLISTERBudget Fraction=50%, Backbone=ResNet2025.110.7461.2
BOSSBudget Fraction=30%, Backbone=ResNet2025.110.7373
ONLINESUBMODBudget Fraction=10%, Backbone=ResNet2025.110.7369.2
CRAIGBudget Fraction=30%, Backbone=ResNet2025.110.7232.5
MILOBudget Fraction=10%, Backbone=ResNet2025.110.72310.1
GLISTERBudget Fraction=30%, Backbone=ResNet2025.110.7232.6
BOSSBudget Fraction=10%, Backbone=ResNet2025.110.7177.8
RHO-LOSSBudget Fraction=10%, Backbone=ResNet2025.110.7133.9
GRADMATCHBudget Fraction=10%, Backbone=ResNet2025.110.6836.9
CRAIGBudget Fraction=10%, Backbone=ResNet2025.110.6725.1
GLISTERBudget Fraction=10%, Backbone=ResNet2025.110.6427.7