Adding a gated channel-wise MLP to a recurrent convolutional network raises median exact-match accuracy on 185 Re-ARC tasks from 78.75% to 92.19% in-distribution and from 2.34% to 14.58% on harder out-of-distribution tasks.
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Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks
Adding a gated channel-wise MLP to a recurrent convolutional network raises median exact-match accuracy on 185 Re-ARC tasks from 78.75% to 92.19% in-distribution and from 2.34% to 14.58% on harder out-of-distribution tasks.