Google AI Introduces CHITA: An Optimization-based Approach for Pruning Pre-Trained Neural Networks at Scale

The results of today’s neural networks in fields as diverse as language, mathematics, and vision are remarkable. These networks, however, typically employ elaborate structures that are resource-intensive to run. When dealing with limited resources, such as those found in wearables and smartphones, delivering such models to users can be impracticable. Pruning pre-trained networks entails deleting […]

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