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Joseph Early
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 12
Top Topics
Multiple Instance
American Football
Image Categorization
Spatial Proximity
Top Venues
CoRR
ICLR
AAMAS
BMVC
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Publications
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Joseph Early
,
Gavin K. C. Cheung
,
Kurt Cutajar
,
Hanting Xie
,
Jas Kandola
,
Niall Twomey
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
ICLR
(2024)
Joseph Early
,
Gavin K. C. Cheung
,
Kurt Cutajar
,
Hanting Xie
,
Jas Kandola
,
Niall Twomey
Inherently Interpretable Time Series Classification via Multiple Instance Learning.
CoRR
(2023)
Gregory Everett
,
Ryan J. Beal
,
Tim Matthews
,
Joseph Early
,
Timothy J. Norman
,
Sarvapali D. Ramchurn
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations.
CoRR
(2023)
Gregory Everett
,
Ryan J. Beal
,
Tim Matthews
,
Joseph Early
,
Timothy J. Norman
,
Sarvapali D. Ramchurn
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations.
AAMAS
(2023)
Joseph Early
,
Christine Evers
,
Sarvapali Ramchurn
Model Agnostic Interpretability for Multiple Instance Learning.
CoRR
(2022)
Joseph Early
,
Tom Bewley
,
Christine Evers
,
Sarvapali D. Ramchurn
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning.
NeurIPS
(2022)
Joseph Early
,
Tom Bewley
,
Christine Evers
,
Sarvapali D. Ramchurn
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning.
CoRR
(2022)
Sarah Ahmed
,
Tayyaba Azim
,
Joseph Early
,
Sarvapali D. Ramchurn
Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification.
BMVC
(2022)
Joseph Early
,
Christine Evers
,
Sarvapali D. Ramchurn
Model Agnostic Interpretability for Multiple Instance Learning.
ICLR
(2022)
Joseph Early
,
Ying-Jung Deweese
,
Christine Evers
,
Sarvapali D. Ramchurn
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification.
CoRR
(2022)
Chris Reed
,
Keri Grieman
,
Joseph Early
Non-Asimov Explanations Regulating AI through Transparency.
CoRR
(2021)
Joseph Early
Reducing catastrophic forgetting when evolving neural networks.
CoRR
(2019)