Adaptive Noise Injection: A Structure-Expanding Regularization for RNN

25 Jul 2019Rui LiKai ShuangMengyu GuSen Su

The vanilla LSTM has become one of the most potential architectures in word-level language modeling, like other recurrent neural networks, overfitting is always a key barrier for its effectiveness. The existing noise-injected regularizations introduce the random noises of fixation intensity, which inhibits the learning of the RNN throughout the training process... (read more)

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