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stat.ML2017★ 106 cited
Generative and Discriminative Text Classification with Recurrent Neural Networks
Dani Yogatama, Chris Dyer, Wang Ling +1
We empirically characterize the performance of discriminative and generative LSTM models for text classification. We find that although RNN-based generative models are more powerfu…
stat.ML2013
A Sparse and Adaptive Prior for Time-Dependent Model Parameters
Dani Yogatama, Bryan R. Routledge, Noah A. Smith
We consider the scenario where the parameters of a probabilistic model are expected to vary over time. We construct a novel prior distribution that promotes sparsity and adapts the…