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Avner May
Avner May
Staff Research Scientist at Together.ai
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
An introduction to computational networks and the computational network toolkit
D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ...
Microsoft Technical Report MSR-TR-2014–112, 2014
4722014
Contextual embeddings: When are they worth it?
S Arora, A May, J Zhang, C Ré
arXiv preprint arXiv:2005.09117, 2020
912020
How to scale up kernel methods to be as good as deep neural nets
Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ...
arXiv preprint arXiv:1411.4000, 2014
682014
Low-precision random Fourier features for memory-constrained kernel approximation
J Zhang, A May, T Dao, C Ré
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
402019
On the downstream performance of compressed word embeddings
A May, J Zhang, T Dao, C Ré
Advances in neural information processing systems 32, 2019
282019
Filter & follow: How social media foster content curation
A May, A Chaintreau, N Korula, S Lattanzi
The 2014 ACM international conference on Measurement and modeling of …, 2014
282014
Sequoia: Scalable, robust, and hardware-aware speculative decoding
Z Chen, A May, R Svirschevski, Y Huang, M Ryabinin, Z Jia, B Chen
arXiv preprint arXiv:2402.12374, 2024
232024
Kernel approximation methods for speech recognition
A May
Columbia University, 2018
222018
Understanding the downstream instability of word embeddings
M Leszczynski, A May, J Zhang, S Wu, C Aberger, C Ré
Proceedings of Machine Learning and Systems 2, 262-290, 2020
182020
Kernel approximation methods for speech recognition
A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, D Hsu, ...
Journal of Machine Learning Research 20 (59), 1-36, 2019
162019
A comparison between deep neural nets and kernel acoustic models for speech recognition
Z Lu, D Quo, AB Garakani, K Liu, A May, A Bellet, L Fan, M Collins, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
162016
The mamba in the llama: Distilling and accelerating hybrid models
J Wang, D Paliotta, A May, A Rush, T Dao
Advances in Neural Information Processing Systems 37, 62432-62457, 2025
122025
Specexec: Massively parallel speculative decoding for interactive llm inference on consumer devices
R Svirschevski, A May, Z Chen, B Chen, Z Jia, M Ryabinin
Advances in Neural Information Processing Systems 37, 16342-16368, 2025
82025
Fei Sha
A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, ...
Kernel approximation methods for speech recognition. CoRR, abs/1701.03577, 2017
72017
Compact kernel models for acoustic modeling via random feature selection
A May, M Collins, D Hsu, B Kingsbury
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
62016
Audio-visual fine-tuning of audio-only ASR models
A May, D Serdyuk, AP Shah, O Braga, O Siohan
arXiv preprint arXiv:2312.09369, 2023
42023
Game in the newsroom: Greedy bloggers for picky audience
A May, A Chaintreau, N Korula, S Lattanzi
Proc. of the 20th International Conference Companion on World Wide Web, 16-20, 2013
42013
Sequoia: Scalable and Robust Speculative Decoding
Z Chen, A May, R Svirschevski, YH Huang, M Ryabinin, Z Jia, B Chen
Advances in Neural Information Processing Systems 37, 129531-129563, 2025
2025
Self-stabilized deep neural network
JG Droppo, P Ghahremani, A May
US Patent 10,885,438, 2021
2021
Kernel Approximation Methods for Speech Recognition
AB Garakani, A May, B Kingsbury, D Hsu, D Guo, F Sha, K Liu, L Fan, ...
2019
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Статьи 1–20