Sep 16, 2020 · On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. Authors:Zhong Li, Jiequn Han, Weinan E, Qianxiao ...
Jan 12, 2021 · On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. Blind Submission by Conference • On the Curse ...
rem 4.2 implies the curse of memory in approximation, as pointed out in the main text. ... C.2 CONCRETE DYNAMICAL ANALYSIS AND THE CURSE OF MEMORY IN OPTIMIZATION.
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis · Zhong Li, Jiequn Han, +1 author. Qianxiao Li · Published in ...
... On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. September 2020. September 2020. Authors: Zhong Li · Zhong Li.
The term “curse of memory” is coined to describe the uncovered phenomena, akin to the “curse of dimension” that plagues high-dimensional function approximation.
Curse of memory refers to the difficulty of learning long-term memory using recurrent models. Although recurrent models benefit from low inference costs, ...
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Nov 24, 2023 · We first prove an inverse approximation theorem showing that state-space models without reparameterization still suffer from the “curse of ...
On the curse of memory in recurrent neural networks: Approximation and optimization analysis. In International Conference on Learning Representations, pages ...
Duration: 1:06:06
Posted: Sep 14, 2020
Posted: Sep 14, 2020
Missing: Optimization Analysis.