2 papers
cs.CV2025
Zero-Shot Coreset Selection via Iterative Subspace Sampling
Brent A. Griffin, Jacob Marks, Jason J. Corso
Deep learning increasingly relies on massive data with substantial storage, annotation, and training costs. To reduce costs, coreset selection finds a representative subset of data…
cs.LG2024
Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes
Jacob Marks, Brent A. Griffin, Jason J. Corso
We introduce a new framework for analyzing classification datasets based on the ratios of reconstruction errors between autoencoders trained on individual classes. This analysis fr…