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From the Loss Landscape to Diverse Feature Learning in Neural Networks

Yunis, David Aram
arXiv (OAI Expanded) · Papers
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artificial-intelligencemachine-learning
Over the course of the last decade, neural networks have grown from an academic curiosity to moving the markets of nations. Despite this explosion in both research and deployment, relatively little is understood about how they achieve the solutions they do. This is both scientifically relevant, and
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