Learning generic high-dimensional tasks is notably hard, as it requires ...
Task arithmetic has recently emerged as a cost-effective and scalable
ap...
Despite their success, understanding how convolutional neural networks (...
Convolutional neural networks perform a local and translationally-invari...
Understanding why deep nets can classify data in large dimensions remain...