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Sorting input objects is an important step in many machine learning pipelines.
A law of comparative judgment
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The analysis of permutations
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Lost relatives of the Gumbel trick
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On the properties of the softmax function with application in game theory and reinforcement learning
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The concrete distribution: A continuous relaxation of discrete random variables
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Fast amortized inference and learning in log-linear models with randomly perturbed nearest neighbor search
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A continuous relaxation of beam search for end-to-end training of neural sequence models
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Reparameterizing the birkhoff polytope for variational permutation inference
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