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James Urquhart Allingham

3 accepted papers

2024

A Generative Model of Symmetry Transformations

NeurIPS 2024poster

Correctly capturing the symmetry transformations of data can lead to efficient models with strong generalization capabilities, though methods incorporating symmetries often require prior knowledge. While recent advancements have been made in learning those symmetries directly from the dataset, most…

2023

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models

ICML 2023poster

Contrastively trained text-image models have the remarkable ability to perform zero-shot classification, that is, classifying previously unseen images into categories that the model has never been explicitly trained to identify. However, these zero-shot classifiers need prompt engineering to achieve…

Cited by 47SourcePDFScholar
2023

Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity

NeurIPS 2023poster

Modern predictive models are often deployed to environments in which computational budgets are dynamic. Anytime algorithms are well-suited to such environments as, at any point during computation, they can output a prediction whose quality is a function of computation time. Early-exit neural networ…