2 papers
cs.LG2026
Multi-Objective Reference-Aligned Machine Unlearning
Rasa Khosrowshahli, Stephen Asobiela, Beatrice Ombuki-Berman +1
Machine unlearning aims to remove the influence of specific training samples while preserving the model's utility. Existing single-objective approaches, such as gradient ascent or…
cs.CV2026
Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi
In histopathology, human experts primarily rely on color as a means of enhancing contrast to interpret tissue morphology, whereas machine vision models process color as raw statist…