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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism
  Persists

Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists

10 October 2018
Giancarlo D. Salton
John D. Kelleher
    KELM
    RALM
ArXivPDFHTML

Papers citing "Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists"

3 / 3 papers shown
Title
Building for Tomorrow: Assessing the Temporal Persistence of Text
  Classifiers
Building for Tomorrow: Assessing the Temporal Persistence of Text Classifiers
Rabab Alkhalifa
E. Kochkina
A. Zubiaga
19
25
0
11 May 2022
Recurrent Memory Networks for Language Modeling
Recurrent Memory Networks for Language Modeling
Ke M. Tran
Arianna Bisazza
Christof Monz
30
21
0
06 Jan 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,925
0
17 Aug 2015
1