Joseph Early

According to our database, Joseph Early authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Inherently Interpretable Time Series Classification via Multiple Instance Learning.

Joseph Early, Gavin K. C. Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations.

Gregory Everett, Ryan J. Beal, Tim Matthews, Joseph Early, Timothy J. Norman, Sarvapali D. Ramchurn

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification.

Joseph Early, Ying-Jung Deweese, Christine Evers, Sarvapali D. Ramchurn

CoRR, 2022

Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning.

Joseph Early, Tom Bewley, Christine Evers, Sarvapali D. Ramchurn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Model Agnostic Interpretability for Multiple Instance Learning.

Joseph Early, Christine Evers, Sarvapali D. Ramchurn

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification.

Sarah Ahmed, Tayyaba Azim, Joseph Early, Sarvapali D. Ramchurn

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Non-Asimov Explanations Regulating AI through Transparency.

Chris Reed, Keri Grieman, Joseph Early

CoRR, 2021

2019

Reducing catastrophic forgetting when evolving neural networks.

Joseph Early

CoRR, 2019