Learning Reconfigurable Vision Models
Over the past decade, deep learning methods have emerged as the predominant approach in a wide variety of fields, such as computer vision, natural language processing, and speech recognition. However, these models have also been notorious for their high computational costs and substantial data requi...
Main Author: | Gonzalez Ortiz, Jose Javier |
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Other Authors: | Guttag, John V. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/153839 |
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