CCEM parameterizes compositional factors with input-convex neural networks and optimizes the summed energy over a convex relaxation, allowing models trained on small instances to transfer to larger ones.
Do neural optimal transport solvers work? a continuous wasserstein-2 benchmark.Advances in neural information processing systems, 34:14593–14605, 2021
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Convex Compositional Reasoning Models
CCEM parameterizes compositional factors with input-convex neural networks and optimizes the summed energy over a convex relaxation, allowing models trained on small instances to transfer to larger ones.