Cameron E. Taylor

According to our database, Cameron E. Taylor authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

MoCHA: Denoising Caption Supervision for Motion-Text Retrieval.

Nikolai Warner, Cameron Ethan Taylor, Irfan Essa, Apaar Sadhwani

CoRR, March, 2026

2025

Before Forgetting, There's Learning: Representation Learning Challenges in Online Unsupervised Continual Learning.

Cameron Ethan Taylor, Shreyas Malakarjun Patil, Constantine Dovrolis

Trans. Mach. Learn. Res., 2025

How Can Knowledge of a Task's Modular Structure Improve Generalization and Training Efficiency?

Shreyas Malakarjun Patil, Cameron Ethan Taylor, Constantine Dovrolis

Trans. Mach. Learn. Res., 2025

2024

Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning.

Cameron Ethan Taylor, Vassilis Vassiliades, Constantine Dovrolis

Proceedings of the Conference on Lifelong Learning Agents, 2024

2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo

Proceedings of the Conference on Lifelong Learning Agents, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

Unsupervised Progressive Learning and the STAM Architecture.

James Seale Smith, Cameron E. Taylor, Seth Baer, Constantine Dovrolis

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

Adaptive network diagram constructions for representing big data event streams on monitoring dashboards.

Alexander V. Mantzaris, Thomas G. Walker, Cameron E. Taylor, Dustin Ehling

J. Big Data, 2019

2018

Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks.

Cameron E. Taylor, Alexander V. Mantzaris, Ivan Garibay

Inf., 2018

How polarization can provide an increase in content dissemination amongst the highly ranked influencers.

Cameron E. Taylor, Ivan Garibay, Alexander V. Mantzaris

CoRR, 2018