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Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
One surprising trait of neural networks is the extent to which their connections can be pruned with little to no effect on accuracy.
Like a bilingual baby: The advantage of visually grounding a bilingual language model
Unlike most neural language models, humans learn language in a rich, multi-sensory and, often, multi-lingual environment.
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