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ResearchFormerly WizWand

Image Classification on CIFAR-100 LT (IF=100)

58.6Top-1 AccGLMC + Loss + LR
24.924833.667442.4151.1526Sep 9, 2024Dec 19, 2024Mar 31, 2025Jul 10, 2025Oct 20, 2025Jan 29, 2026May 11, 2026
Updated 3mo ago

Evaluation results

MethodLinks
GLMC + Loss + LRreweighting=Inverse-view, LR Schedule=MiLeLR2026.0558.6
GLMC + Lossreweighting=Inverse-view2026.0558.3
GLMC + SEL2026.0556.5
B-SCLVenue=NeurIPS252026.0556.4
GLMCVenue=CVPR232026.0555.9
RBLVenue=ICML232026.0553.1
FeatReconVenue=ICLR252026.0552.5
IP-DPPVenue=NeurIPS252026.0552.4
PaCoStrategy=Decoupled / Two-stage2026.0152
CCAR + BSStrategy=Logit-Adjustment, Adjustment=Balanced Softmax2026.0148.91
CE* + Loss + LRreweighting=Inverse-view, LR Schedule=MiLeLR2026.0548.9
CMO + Loss + LRreweighting=Inverse-view, LR Schedule=MiLeLR2026.0548.8
RIDE-3 expertsVenue=ICLR212026.0548.6
INC-DRWVenue=AISTATS232026.0548.6
ETF-DR + Loss + LRreweighting=Inverse-view, LR Schedule=MiLeLR2026.0548
CE* + Lossreweighting=Inverse-view2026.0547.9
MiSLASVenue=CVPR212026.0547
ETF-DR + Lossreweighting=Inverse-view2026.0547
CMO + Lossreweighting=Inverse-view2026.0546.8
HCLVenue=CVPR212026.0546.7
FedYoYoVenue=ICCV252026.0546.1
ETF-DR + DisA2026.0545.9
ETF-DRVenue=NeurIPS222026.0545.3
cRT + mixupStrategy=Decoupled / Two-stage2026.0145.12
Focal + BSStrategy=Logit-Adjustment, Base Loss=Focal Loss, Adjustment=Balanced Softmax2026.0145.11
Balanced SoftmaxStrategy=Logit-Adjustment2026.0145
CCAR + LAStrategy=Logit-Adjustment, Adjustment=Logit Adjustment2026.0144.65
DisAVenue=ICML242026.0544.5
SELVenue=ICCV252026.0544.5
Focal-SAMVenue=ICML252026.0544
Focal + LAStrategy=Logit-Adjustment, Base Loss=Focal Loss, Adjustment=Logit Adjustment2026.0143.94
Logit AdjustStrategy=Logit-Adjustment2026.0143.9
CMOVenue=CVPR222026.0543.9
TSCVenue=CVPR222026.0543.8
KCLVenue=ICLR212026.0542.8
BBNVenue=CVPR202026.0542.6
LDAM-DRWStrategy=Margin-based2026.0142.04
CE*reproduced=true2026.0541.6
CCAR + CEStrategy=Standard / Re-weighting, Base Loss=Cross-Entropy2026.0139.86
Class-BalancedStrategy=Standard / Re-weighting2026.0139.6
MLLM-LLaVA-FLType=Our framework2024.0939.5
Cross-EntropyStrategy=Standard / Re-weighting2026.0138.43
Focal LossStrategy=Standard / Re-weighting2026.0138.4
CLIP2FLType=SOTA2024.0937.56
CReFFType=Classifier-retraining2024.0934.67
CCVRType=Heterogeneity-oriented FL methods2024.0933.43
Ratio LossType=Imbalance-oriented FL methods2024.0932.95
FedNovaType=Heterogeneity-oriented FL methods2024.0932.64
FedBEType=Heterogeneity-oriented FL methods2024.0931.97
FedProxType=Heterogeneity-oriented FL methods2024.0931.67
FedDFType=Heterogeneity-oriented FL methods2024.0931.43
FedAvgMType=Heterogeneity-oriented FL methods2024.0930.8
Fed-Focal LossType=Imbalance-oriented FL methods2024.0930.67
FedAvgType=Heterogeneity-oriented FL methods2024.0930.34
FedAvg+ τ-normType=Imbalance-oriented FL methods2024.0926.22