Active Feature Acquisition on MNIST benchmark leaderboard · SOTA2 Research

Active Feature Acquisition on MNIST

69.1Training Runtime (s)OL

Evaluation Results

Method	Links
OL2026.05		69.1
DIME2026.05		79.6
GDFS2026.05		88.7
DiFA2026.05		93.3
NM-PPG2026.05		98.2
GSMRL2026.05		174
DiFA (m)2026.05		7,803
DIME (m)2026.05		8,011
GDFS (m)2026.05		9,776
NM-PPG2026.05		11,334
OL2026.05		12,451
GSMRL2026.05		18,000