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Graham Taylor

2 accepted papers

2026

Position: Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives

ICML 2026spotlight

Open-source AI is scaling rapidly, and model hubs now host millions of artifacts. Each foundation model can spawn large numbers of fine-tunes, adapters, quantizations, merges, and forks. We take the position that compute efficiency alone is insufficient for sustainability in open-source AI. Lower pe…

Cited by 0SourceScholar
2020

Learning Permutation Invariant Representations using Memory Networks

ECCV 2020poster

Many real-world tasks such as classification of digital histopathological images and 3D object detection involve learning from a set of instances. In these cases, only a group of instances or a set, collectively, contains meaningful information and therefore only the sets have labels, and not indivi…

Cited by 24SourcePDFScholar