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Contextual Embeddings: When Are They Worth It?


May 18, 2020
Simran Arora, Avner May, Jian Zhang, Christopher Ré

* ACL 2020 

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Understanding the Downstream Instability of Word Embeddings


Feb 29, 2020
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré

* In Proceedings of the 3rd MLSys Conference, 2020 

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On the Downstream Performance of Compressed Word Embeddings


Sep 03, 2019
Avner May, Jian Zhang, Tri Dao, Christopher Ré

* NeurIPS 2019 (Conference on Neural Information Processing Systems) 

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Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation


Oct 31, 2018
Jian Zhang, Avner May, Tri Dao, Christopher Ré


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Kernel Approximation Methods for Speech Recognition


Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha


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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition


Mar 18, 2016
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurelien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

* arXiv admin note: text overlap with arXiv:1411.4000 

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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets


Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha


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