Search Results for author: Avraham Chapman

Found 2 papers, 1 papers with code

On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory

no code implementations • 21 Feb 2023 • Kai-Liang Lu, Avraham Chapman

To cluster, classify and represent are three fundamental objectives of learning from high-dimensional data with intrinsic structure.

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Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression

1 code implementation • 29 Sep 2022 • Avraham Chapman, Lingqiao Liu

It suppresses features that can be utilized to identify individual instances among samples within each class.

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