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Lab. LTI, Université de Picardie Jules Verne, Amiens, France
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Ditch k-means: DDCL's end-to-end differentiable architecture for unsupervised representation learning outperforms non-differentiable ablations by 65% and DeepCluster by 122% in clustering accuracy.