Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking

18 Dec 2019Gustavo PenhaClaudia Hauff

Neural ranking models are traditionally trained on a series of random batches, sampled uniformly from the entire training set. Curriculum learning has recently been shown to improve neural models' effectiveness by sampling batches non-uniformly, going from easy to difficult instances during training... (read more)

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