In a teacher-student setup, maximal expressive power for a fixed learnable-weight budget is characterized by even row or column distribution in linear RNNs and feedforward networks.
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The impact of allocation strategies in subset learning on the expressive power of neural networks
In a teacher-student setup, maximal expressive power for a fixed learnable-weight budget is characterized by even row or column distribution in linear RNNs and feedforward networks.