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DivClust: Controlling Diversity in Deep Clustering

CVPR 2023 · Learning theory and algorithms › Clustering · approach: Clustering approximation algorithms · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add DivClust diversity control (D^T=0.8) and consensus aggregation to CCCC · CIFAR10ACC: 0.790 -> 0.819Helped
Add DivClust diversity control (D^T=0.7) and consensus aggregation to CCCC · CIFAR100ACC: 0.429 -> 0.437Helped
Add DivClust diversity control (D^T=0.95) and consensus aggregation to CCCC · ImageNet-10ACC: 0.893 -> 0.936Helped
Add DivClust diversity control (D^T=0.7) and consensus aggregation to CCCC · ImageNet-DogsACC: 0.429 -> 0.529Helped
Add DivClust diversity control and consensus aggregationIIC · CIFAR10ACC: 0.442 -> 0.685Helped
Add DivClust diversity control and consensus aggregationPICA · CIFAR10ACC: 0.533 -> 0.671Helped
Set the diversity target to D^T=1., disabling effective diversity control (ablation)CC + DivClust consensus clustering · CIFAR10ACC: 0.790 -> 0.763No clear effect
Set the diversity target to D^T=0.9 (ablation)CC + DivClust consensus clustering · CIFAR10ACC: 0.790 -> 0.789No clear effect
Set the diversity target to D^T=0.7 (ablation)CC + DivClust consensus clustering · CIFAR10ACC: 0.790 -> 0.815Helped
Set the diversity target to D^T=0.7 (ablation)CC + DivClust consensus clustering · ImageNet-10ACC: 0.893 -> 0.90Helped

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