Timeline for How to build in symmetry of inputs into a Deep Neural Network?
Current License: CC BY-SA 4.0
20 events
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Aug 25 at 1:06 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
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Dec 23, 2021 at 9:42 | comment | added | MachineLearner | Not quite sure if my reasoning is correct. If you permute the inputs and this will permute the outputs, then you should be able to represent the input-to-output behavior by a single transfer function from one input to another output. | |
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Nov 21, 2019 at 3:24 | comment | added | Alexander Gruber | What you're talking about here is the neural net being equivariant under the permutation action, so maybe you could try adapting some techniques from group equivariant convolutional neural networks. | |
Nov 20, 2019 at 12:03 | answer | added | MrMulliner | timeline score: 0 | |
Nov 20, 2019 at 10:25 | review | First posts | |||
Nov 20, 2019 at 11:16 | |||||
Nov 20, 2019 at 10:21 | history | asked | chausies | CC BY-SA 4.0 |