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Machine Unlearning on MNIST

98.22Model Accuracy

ORTR

46.01259.56673.1286.674Jan 12, 2026Jan 16, 2026Jan 21, 2026Jan 26, 2026Jan 31, 2026Feb 5, 2026Feb 10, 2026
Updated 4d ago

Evaluation Results

MethodLinks
2026.02
98.220--0-
2026.02
97.320--00.507
2026.02
97.10--0-
2026.01
96.38-08.52--
2026.02
96.10--0-
2026.01
96.04-05.08--
2026.01
95.860.1990.1823.31--
2026.01
95.30.3980.3312.87--
2026.01
94.670.2210.22.11--
2026.01
94.650.9020.81.56--
2026.01
94.560.5970.4531.89--
2026.01
93.930.5040.52.14--
2026.02
89.330.015--0.0240.514
2026.02
89.060.029--0.011-
2026.02
89.020.044--0.018-
2026.02
89.020.038--0.015-
2026.02
88.940.352--0.451-
2026.02
88.930.052--0.025-
2026.02
88.910.068--0.029-
2026.02
88.890.067--0.031-
2026.02
88.880.074--0.032-
2026.02
88.850.081--0.036-
2026.02
88.810.361--0.355-
2026.02
88.790.102--0.048-
2026.02
88.780.089--0.047-
2026.02
88.740.104--0.058-
2026.02
88.720.096--0.054-
2026.02
88.70.105--0.059-
2026.02
88.670.373--0.46-
2026.02
88.630.128--0.074-
2026.02
88.610.138--0.077-
2026.02
88.550.142--0.089-
2026.02
88.510.167--0.098-
2026.02
88.440.221--0.135-
2026.01
88.19-02.03--
2026.02
87.980.084--0.1330.598
2026.02
87.950.07--0.1130.584
2026.02
87.150.043--0.0660.542
2026.02
87.080.056--0.0980.568
2026.02
87.050.067--0.1090.577
2026.02
86.120.049--0.0790.551
2026.01
81.732027.31--
2026.01
75.942023.66--
2026.01
48.02202.33--