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Suraj Nandkishor Kothawade

2 accepted papers

2024

SCoRe: Submodular Combinatorial Representation Learning

ICML 2024poster

In this paper we introduce the **SCoRe** (**S**ubmodular **Co**mbinatorial **Re**presentation Learning) framework, a novel approach in representation learning that addresses inter-class bias and intra-class variance. SCoRe provides a new combinatorial viewpoint to representation learning, by introdu…

Cited by 3SourcePDFScholar
2021

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

NeurIPS 2021poster

Active learning has proven to be useful for minimizing labeling costs by selecting the most informative samples. However, existing active learning methods do not work well in realistic scenarios such as imbalance or rare classes,out-of-distribution data in the unlabeled set, and re…