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07/05/2023
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model
Learning generic high-dimensional tasks is notably hard, as it requires ...
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05/22/2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Task arithmetic has recently emerged as a cost-effective and scalable ap...
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08/01/2022
How Wide Convolutional Neural Networks Learn Hierarchical Tasks
Despite their success, understanding how convolutional neural networks (...
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06/16/2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Convolutional neural networks perform a local and translationally-invari...
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05/06/2021
