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implicit bias of linear rnns

Implicit Bias of Linear RNNs | Request PDF - ResearchGate
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Request PDF | Implicit Bias of Linear RNNs | Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not ...
Parthe Pandit
https://parthe.github.io
[May 2021] Paper accepted at ICML 2021: “Implicit Bias of Linear RNNs”. [Mar 2021] I have been awarded the HDSI-Simons Postdoctoral Fellowship.
Implicit Bias of Linear RNNs
icml.cc › virtual › 2021
Poster 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 - Share file on Eduzhai
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Contemporary wisdom based on empirical research shows thatnd hence, shorter memory.The degree of this bias depends on the variance of the transition kernel ...
Implicit Bias of Linear RNNs - Proceedings of Machine ...
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This paper aims to understand the implicit bias behaviour of. Recurrent Neural Networks (RNN). Several machine learn- ing tasks require dealing with sequential ...
Implicit Bias of Linear RNNs - ICML
https://icml.cc › media › icml-2021 › Slides
Empirically known: RNNs learned from data cannot capture long-term dependencies. – Short-term memory bias. • Questions: – How ”short” is short-term memory?
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.pdf
Implicit 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
Implicit Bias of Linear RNNs | Request PDF
https://www.researchgate.net/publication/348647918_Implicit_Bias_of_Linear_RNNs
Implicit Bias of Linear RNNs. January 2021; Authors: Melikasadat Emami. University of California, Los Angeles; Mojtaba Sahraee-Ardakan. Mojtaba Sahraee-Ardakan ...
Implicit Bias of Linear RNNs
proceedings.mlr.press › v139 › emami21b
Implicit Bias of Linear RNNs is challenging due to the weight sharing in RNNs which leads to statistical dependencies across time. We cal- culate this NTK using a conditioning technique as in (Bayati & Montanari,2011) to deal with the dependen- cies.
[2101.07833] Implicit Bias of Linear RNNs - arXiv
https://arxiv.org/abs/2101.07833
19.01.2021 · 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.
‪Melikasadat Emami‬ - ‪Google Scholar‬
https://scholar.google.com › citations
Implicit Bias of Linear RNNs. M Emami, M Sahraee-Ardakan, P Pandit, S Rangan, AK Fletcher. arXiv preprint arXiv:2101.07833, 2021.
Implicit Bias of Linear RNNs - proceedings.mlr.press
proceedings.mlr.press/v139/emami21b/emami21b.pdf
Implicit Bias of Linear RNNs is challenging due to the weight sharing in RNNs which leads to statistical dependencies across time. We cal- culate this NTK using a conditioning technique as in (Bayati & Montanari,2011) to deal with the dependen- cies.
Implicit Bias of Linear RNNs - proceedings.mlr.press
proceedings.mlr.press/v139/emami21b.html
01.07.2021 · Implicit Bias of Linear RNNs Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K Fletcher Proceedings of the 38th International Conference on Machine Learning , PMLR 139:2982-2992, 2021.
Implicit Bias of Linear RNNs | DeepAI
deepai.org › publication › implicit-bias-of-linear-rnns
Jan 19, 2021 · Implicit Bias of Linear RNNs 01/19/2021 ∙ by Melikasadat Emami, et al. ∙ 9 ∙ share 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.
[2101.07833] Implicit Bias of Linear RNNs - arXiv
https://arxiv.org › cs
Abstract: Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on ...
Implicit Bias of Linear RNNs
https://icml.cc/virtual/2021/poster/10445
Implicit 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 | DeepAI
https://deepai.org/publication/implicit-bias-of-linear-rnns
19.01.2021 · Implicit Bias of Linear RNNs 01/19/2021 ∙ by Melikasadat Emami, et al. ∙ 9 ∙ share 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 - arxiv-vanity.com
https://www.arxiv-vanity.com/papers/2101.07833
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. 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 › 2021
Implicit 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 - CS - Machine Learning
https://www.x-mol.com › paper
Contemporary wisdom based on empirical studies suggests that standard recurrent neural networks (RNNs) do not perform well on tasks ...
Implicit Bias of Linear RNNs - NASA/ADS
https://ui.adsabs.harvard.edu/abs/2021arXiv210107833E/abstract
Using recently-developed kernel regime analysis, our main result shows that linear RNNs learned from random initializations are functionally equivalent to a certain weighted 1D-convolutional network. Importantly, the weightings in the equivalent model cause an implicit bias to elements with smaller time lags in the convolution and hence, shorter memory.
[2101.07833] Implicit Bias of Linear RNNs - arXiv
arxiv.org › abs › 2101
Jan 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.
Implicit Bias of Linear RNNs. - dblp
https://dblp.org › abs-2101-07833
Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher: Implicit Bias of Linear RNNs.
[PDF] Implicit Bias of Linear RNNs | Semantic Scholar
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Using recently-developed kernel regime analysis, this paper shows that as the number of hidden units goes to infinity, linear RNNs learned ...