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Quantifying the vanishing gradient and long distance dependency problem
  in recursive neural networks and recursive LSTMs

Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs

1 March 2016
Phong Le
Willem H. Zuidema
ArXivPDFHTML

Papers citing "Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs"

4 / 4 papers shown
Title
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
Hengyu Lin
AI4CE
69
0
0
04 Apr 2025
Neural Spatiotemporal Point Processes: Trends and Challenges
Neural Spatiotemporal Point Processes: Trends and Challenges
Sumantrak Mukherjee
Mouad Elhamdi
George Mohler
David Selby
Yao Xie
Sebastian Vollmer
Gerrit Grossmann
AI4TS
394
1
0
13 Feb 2025
Compositional Distributional Semantics with Long Short Term Memory
Compositional Distributional Semantics with Long Short Term Memory
Phong Le
Willem H. Zuidema
79
103
0
09 Mar 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
132
3,115
0
28 Feb 2015
1