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Clustering

topic2 events
papersTODAY 04:00 UTC

SPICE Method Uses Clustering to Interpret Polysemantic Neurons

A new arXiv paper introduces SPICE, a technique that applies clustering to explain polysemantic features in neural networks, where individual neurons respond to multiple unrelated concepts. The approach aims to make functional interpretation of such neurons clearer for interpretability research. The abstract describes the work as a simple method for clustering-based explanation of these overlapping activations.

interpretability/research/neural-networks/clustering
papersTODAY 04:00 UTC

arXiv paper proposes clustering-assisted logistic model for PU classification beyond SCAR

A new arXiv preprint examines positive-unlabeled (PU) classification when the common SCAR assumption does not hold. The authors study logistic regression approaches, including a cluster-based method and Lasso-regularized variants, and add oversampling to improve performance. The work appears as a cross-listing in cs.AI and cs.LG.

arxiv/machine-learning/classification/research