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Stephen Bonner

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Rank over Class: The Untapped Potential of Ranking in Natural Language Processing

Sep 20, 2020
Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough

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BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals

Aug 28, 2020
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

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Camera Bias in a Fine Grained Classification Task

Jul 16, 2020
Philip T. Jackson, Stephen Bonner, Ning Jia, Christopher Holder, Jon Stonehouse, Boguslaw Obara

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Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks

Oct 03, 2019
Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile

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A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation

Aug 19, 2019
Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough

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Latent Variable Session-Based Recommendation

Apr 24, 2019
David Rohde, Stephen Bonner

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Predicting the Computational Cost of Deep Learning Models

Nov 28, 2018
Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough

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Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning

Nov 20, 2018
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

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Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments

Oct 19, 2018
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner

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