Latent LSTM Allocation: Joint clustering and non-linear dynamic modeling of sequence data

ICML 2017 Manzil ZaheerAmr AhmedAlexander J. Smola

Recurrent neural networks, such as long-short term memory (LSTM) networks, are powerful tools for modeling sequential data like user browsing history (Tan et al., 2016; Korpusik et al., 2016) or natural language text (Mikolov et al., 2010). However, to generalize across different user types, LSTMs require a large number of parameters, notwithstanding the simplicity of the underlying dynamics, rendering it uninterpretable, which is highly undesirable in user modeling... (read more)

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