Implicit Bias of Linear RNNs
icml.cc › virtual › 2021Poster presentation: Implicit Bias of Linear RNNs Thu 22 Jul 9 a.m. PDT — 11 a.m. PDT [ Paper] Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, RNNs' poor ability to capture long-term dependencies has not been fully understood.
Implicit Bias of Linear RNNs
proceedings.mlr.press › v139 › emami21b%0 Conference Paper %T Implicit Bias of Linear RNNs %A Melikasadat Emami %A Mojtaba Sahraee-Ardakan %A Parthe Pandit %A Sundeep Rangan %A Alyson K Fletcher %B Proceedings of the 38th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2021 %E Marina Meila %E Tong Zhang %F pmlr-v139-emami21b %I PMLR %P 2982--2992 %U https://proceedings.mlr.press/v139 ...
Implicit Bias of Linear RNNs - icml.cc
https://icml.cc/media/icml-2021/Slides/10445.pdfImplicit Bias of Linear RNNs Melika Emami 1,, Mojtaba Sahraee-Ardakan 1,2, Parthe Pandit1,2, Sundeep Rangan3, Alyson K. Fletcher 1,2 ECE, UCLA , 2STAT, UCLA, 3ECE, NYU ICML 2021 Implicit Bias of Linear RNNs ICML 20211 / 9
[2101.07833] Implicit Bias of Linear RNNs - arXiv
https://arxiv.org/abs/2101.0783319.01.2021 · Implicit Bias of Linear RNNs Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, precise reasoning for this behavior is still unknown.
Implicit Bias of Linear RNNs
https://icml.cc/virtual/2021/poster/10445Implicit Bias of Linear RNNs. Keywords: [ Theory -> Deep learning Theory ] Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, RNNs' poor ability to capture long-term dependencies has not been fully understood.
Implicit Bias of Linear RNNs - arxiv-vanity.com
https://www.arxiv-vanity.com/papers/2101.07833Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, precise reasoning for this behavior is still unknown. This paper provides a rigorous explanation of this property in the special case of linear RNNs. Although this work is limited to linear RNNs, even these systems …
Implicit Bias of Linear RNNs
icml.cc › virtual › 2021Implicit Bias of Linear RNNs. Keywords: [ Theory -> Deep learning Theory ] Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, RNNs' poor ability to capture long-term dependencies has not been fully understood.
[2101.07833] Implicit Bias of Linear RNNs - arXiv
arxiv.org › abs › 2101Jan 19, 2021 · Implicit Bias of Linear RNNs Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks requiring long-term memory. However, precise reasoning for this behavior is still unknown.