Avner May

Understanding the Downstream Instability of Word Embeddings pdf

Jian Zhang, Megan Leszczynski, Avner May, 2020, MLSys.

A comparison between deep neural nets and kernel acoustic models for speech recognition

Brian Kingsbury, Michael Picheny, Michael Collins, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Downstream Performance of Compressed Word Embeddings

Tri Dao, Christopher Ré, Avner May, 2019, NeurIPS.

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

Tri Dao, Christopher Ré, Jian Zhang, 2018, AISTATS.

Compact kernel models for acoustic modeling via random feature selection

Brian Kingsbury, Michael Collins, Avner May, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Kernel Approximation Methods for Speech Recognition

Brian Kingsbury, Michael Picheny, Michael Collins, 2017, J. Mach. Learn. Res..

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

Brian Kingsbury, Michael Picheny, Michael Collins, 2014, ArXiv.

Contextual Embeddings: When Are They Worth It?

Jian Zhang, Avner May, Christopher Ré, 2020, ACL.

Filter & follow: how social media foster content curation

Silvio Lattanzi, Augustin Chaintreau, Avner May, 2014, SIGMETRICS '14.