Aug 7, 2017 · In this paper, we consider the specific problem of word-level language modeling and investigate strategies for regularizing and optimizing LSTM- ...
In this paper, we consider the specific problem of word-level language modeling and investigate strategies for regularizing and optimizing LSTM-based models.
Aug 7, 2017 · In this paper, we consider the specific problem of word-level language modeling and investigate strategies for regularizing and optimizing LSTM-.
In this paper, we consider the specific problem of word-level language modeling and investigate strategies for regularizing and optimizing LSTM-based models. We ...
This repository contains the replication of "Regularizing and Optimizing LSTM Language Models" by Merity et al. (2017). The AWD-LSTM model introduced in the ...
This paper applies several regulariz- ing and optimizing techniques, such as weight drop, weight tying, variational dropout, random BPTT length, AR and TAR, for ...
Aug 7, 2017 · This paper proposes the weight-dropped LSTM which uses DropConnect on hidden-to-hidden weights as a form of recurrent regularization and ...
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Nov 26, 2018 · The simple fix is to vary the BPTT length, while keeping the average length close to the longest efficient length seq. The first adjustment is ...
Feb 12, 2022 · This repository contains the code used for two Salesforce Research papers: Regularizing and Optimizing LSTM Language Models · An Analysis of ...
Jul 25, 2019 · Stephen Merity, Nitish Shirish Keskar, Richard Socher: Regularizing and Optimizing LSTM Language Models. ICLR (Poster) 2018.