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Image Classification on CIFAR-10 (Standard Accuracy and NLL)

0.944Accuracy

MAP

0.92320.92860.9340.9394Feb 16, 2026
Updated 4d ago

Evaluation Results

MethodLinks
2026.02
0.9440.252
2026.02
0.9440.188
2026.02
0.9440.403
2026.02
0.9440.193
2026.02
0.9440.185
2026.02
0.9440.23
2026.02
0.9430.195
2026.02
0.9420.188
2026.02
0.940.275
2026.02
0.940.218
2026.02
0.940.213
2026.02
0.940.2
2026.02
0.940.23
2026.02
0.9390.206
2026.02
0.9380.242
2026.02
0.9380.201
2026.02
0.9380.229
2026.02
0.9360.424
2026.02
0.9350.292
2026.02
0.9350.222
2026.02
0.9350.242
2026.02
0.9350.229
2026.02
0.9350.217
2026.02
0.9350.259
2026.02
0.9340.462
2026.02
0.9320.256
2026.02
0.9320.212
2026.02
0.9270.231
2026.02
0.9260.282
2026.02
0.9260.555
2026.02
0.9260.26
2026.02
0.9260.241
2026.02
0.9260.258
2026.02
0.9250.231
2026.02
0.9240.266
2026.02
0.9240.231