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ResearchFormerly WizWand

Image Classification on MNIST Sym-20% (test)

0.9891AccuracyReweight-A-R
0.787860.8401050.892350.944595Jun 1, 2019Jul 17, 2019Sep 1, 2019Oct 18, 2019Dec 3, 2019Jan 18, 2020Mar 5, 2020
Updated 8mo ago

Evaluation results

MethodLinks
Reweight-A-RBackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=Revised by ΔT2019.060.9891
Forward-A-RBackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=Revised by ΔT2019.060.9884
Forward-ABackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=None2019.060.9875
Reweight-ABackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=None2019.060.9871
JoCoRHardware=NVIDIA Tesla V100 GPU2020.030.9806
Co-teaching+Hardware=NVIDIA Tesla V100 GPU2020.030.9781
Co-teaching-ABackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=None2019.060.9722
MentorNet-ABackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=None2019.060.9657
Decoupling-ABackbone=LeNet-5, Anchor point status=Intact, Transition matrix revision=None2019.060.9539
F-correctionHardware=NVIDIA Tesla V100 GPU2020.030.9538
Co-teachingHardware=NVIDIA Tesla V100 GPU2020.030.951
DecouplingHardware=NVIDIA Tesla V100 GPU2020.030.9316
StandardHardware=NVIDIA Tesla V100 GPU2020.030.7956