Implement the Random Hierarchy Model (RHM) in PyTorch and train (deep) neural networks on the RHM dataset. The RHM is a synthetic multiclass classification dataset inspired by the hierarchical compositionality of natural data.
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Learning a hierarchical model of data with neural networks.
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pcsl-epfl/random-hierarchy-model
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Learning a hierarchical model of data with neural networks.
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