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Training Time per epoch (s) on Fashion-MNIST (F-MNIST)

8.02Training Time per Epoch (s)Uniform
5.136824.598444.0663.5216May 25, 2026

Evaluation results

MethodLinks
UniformNoise=0.4 s2026.058.02
UniformNoise=0.4 symmetric label noise2026.058.02
UniformNoise=0.3 p2026.058.13
UniformNoise=0.3 pair label noise2026.058.13
UniformNoise=0.5 s2026.058.19
UniformNoise=0.5 symmetric label noise2026.058.19
ADIW-KLNoise=0.3 p2026.0516.07
ADIW-KLNoise=0.3 pair label noise2026.0516.07
MW-NetNoise=0.3 p2026.0518.87
MW-NetNoise=0.3 pair label noise2026.0518.87
MW-NetNoise=0.4 s2026.0518.93
MW-NetNoise=0.4 symmetric label noise2026.0518.93
ADIW-WANoise=0.3 p2026.0519.48
ADIW-WANoise=0.3 pair label noise2026.0519.48
ADIW-WANoise=0.5 s2026.0519.69
ADIW-WANoise=0.5 symmetric label noise2026.0519.69
ADIW-WANoise=0.4 s2026.0519.92
ADIW-WANoise=0.4 symmetric label noise2026.0519.92
ADIW-LSNoise=0.3 p2026.0521.09
ADIW-LSNoise=0.3 pair label noise2026.0521.09
MW-NetNoise=0.5 s2026.0521.54
MW-NetNoise=0.5 symmetric label noise2026.0521.54
ADIW-KLNoise=0.5 s2026.0521.64
ADIW-KLNoise=0.5 symmetric label noise2026.0521.64
ADIW-KLNoise=0.4 s2026.0521.8
ADIW-KLNoise=0.4 symmetric label noise2026.0521.8
L2RNoise=0.4 s2026.0523.15
L2RNoise=0.4 symmetric label noise2026.0523.15
L2RNoise=0.3 p2026.0523.85
L2RNoise=0.3 pair label noise2026.0523.85
L2RNoise=0.5 s2026.0523.97
L2RNoise=0.5 symmetric label noise2026.0523.97
ADIW-LSNoise=0.4 s2026.0524.1
ADIW-LSNoise=0.4 symmetric label noise2026.0524.1
ADIW-KMNoise=0.5 s2026.0528.08
ADIW-KMNoise=0.5 symmetric label noise2026.0528.08
ADIW-KMNoise=0.3 p2026.0529.63
ADIW-KMNoise=0.3 pair label noise2026.0529.63
ADIW-KMNoise=0.4 s2026.0529.81
ADIW-KMNoise=0.4 symmetric label noise2026.0529.81
ADIW-LSNoise=0.5 s2026.0531.85
ADIW-LSNoise=0.5 symmetric label noise2026.0531.85
DIWNoise=0.5 s2026.0576.39
DIWNoise=0.5 symmetric label noise2026.0576.39
DIWNoise=0.3 p2026.0577.25
DIWNoise=0.3 pair label noise2026.0577.25
DIWNoise=0.4 s2026.0580.1
DIWNoise=0.4 symmetric label noise2026.0580.1