Deep Continual Learning: Past, Present, and Future
This talk will be about Deep Continual Learning, what it is, and how to apply it for deep learning tasks. Also included are some future directions in continual learning.
Date and Time
Location
Hosts
Registration
- Date: 08 Feb 2024
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-06:00) Central Time (US & Canada)
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- Archives, Southwest Research Institute
- 229 Avenue D
- San Antonio, Texas
- United States 78238
- Building: 51
- Contact Event Hosts
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Nicole Webb, nicole.webb@swri.org
- Co-sponsored by WIE
- Starts 06 February 2024 09:20 AM
- Ends 08 February 2024 08:00 AM
- All times are (UTC-06:00) Central Time (US & Canada)
- No Admission Charge
Speakers
Truman of Southwest Research Institute (SwRI)
Deep Continual Learning: Past, Present, and Future
This talk will be about Deep Continual Learning and its applications. The talk will cover the fundamental aspects of deep continual learning, some current research in the area, and also some future avenues of research.
Biography:
Truman Hickok is currently a Division 16 intern at SwRI and while pursuing his MS in A.I at The University of Texas at San Antonio. He is broadly interested in techniques for building deep learning-based systems that allow general, robust, and multimodal world modeling, but has thus far focused on the subfield of continual learning research concerned with the design of episodic memory algorithms.
Email:
Address:1100 Martin Goland Ave, B189, San Antonio, United States, 78238