Avner May

According to our database, Avner May authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao

CoRR, 2024

SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices.

Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin

CoRR, 2024

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding.

Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen

CoRR, 2024

2023

Audio-visual fine-tuning of audio-only ASR models.

Avner May, Dmitriy Serdyuk, Ankit Parag Shah, Otavio Braga, Olivier Siohan

CoRR, 2023

2020

Understanding the Downstream Instability of Word Embeddings.

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

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Contextual Embeddings: When Are They Worth It?

Simran Arora, Avner May, Jian Zhang, Christopher Ré

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Kernel Approximation Methods for Speech Recognition.

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

J. Mach. Learn. Res., 2019

On the Downstream Performance of Compressed Word Embeddings.

Avner May, Jian Zhang, Tri Dao, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation.

Jian Zhang, Avner May, Tri Dao, Christopher Ré

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Kernel Approximation Methods for Speech Recognition.

Avner May

PhD thesis, 2018

2016

Compact kernel models for acoustic modeling via random feature selection.

Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

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

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

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

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

CoRR, 2014

Filter & follow: how social media foster content curation.

Avner May, Augustin Chaintreau, Nitish Korula, Silvio Lattanzi

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014