Avner May

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Approximation Methods

Speech Recognition

Sharing Websites

Top Venues

J. Mach. Learn. Res.

Publications

Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding. CoRR (2024)
Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices. CoRR (2024)
Avner May, Dmitriy Serdyuk, Ankit Parag Shah, Otavio Braga, Olivier Siohan
Audio-visual fine-tuning of audio-only ASR models. CoRR (2023)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. CoRR (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? CoRR (2020)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. MLSys (2020)
Simran Arora, Avner May, Jian Zhang, Christopher Ré
Contextual Embeddings: When Are They Worth It? ACL (2020)
Jian Zhang, Avner May, Tri Dao, Christopher Ré
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS (2019)
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
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20 (2019)
Avner May, Jian Zhang, Tri Dao, Christopher Ré
On the Downstream Performance of Compressed Word Embeddings. CoRR (2019)
Avner May, Jian Zhang, Tri Dao, Christopher Ré
On the Downstream Performance of Compressed Word Embeddings. NeurIPS (2019)
Jian Zhang, Avner May, Tri Dao, Christopher Ré
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR (2018)
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
Kernel Approximation Methods for Speech Recognition. CoRR (2017)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR (2016)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP (2016)
Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury
Compact kernel models for acoustic modeling via random feature selection. ICASSP (2016)
Avner May, Augustin Chaintreau, Nitish Korula, Silvio Lattanzi
Filter & follow: how social media foster content curation. SIGMETRICS (2014)
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR (2014)