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cs.LG2026
Understanding Submodular Information Measure Based Objectives for Representation Learning: A Variance and Separation Perspective
Rishabh Iyer, Truong Pham, Anay Majee
Submodular Information Measures (SIMs) have recently emerged as a powerful framework for representation learning and multimodal learning. In particular, the SCORE framework~\cite{m…
cs.CV2026
SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition
Anay Majee, Rishabh Iyer
Deep neural networks often inherit social and demographic biases from annotated data during model training, leading to unfair predictions, especially in the presence of sensitive a…
cs.IT2026
Explicit Entropic Constructions for Coverage, Facility Location, and Graph Cuts
Rishabh Iyer
Shannon entropy is a polymatroidal set function and lies at the foundation of information theory, yet the class of entropic polymatroids is strictly smaller than the class of all s…