Towards Effective Theories for Deep Learning and Beyond
Deep learning has been quite successful in the past decade, with fantastic progress made across multiple domains such as computer vision, natural language processing, and Reinforcement learning. However, the theoretical understanding of its success is limited, and its behavior constantly defies our...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156548 |