Avner May - RankMe

28 papers A* 8A 1Misc 2Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Speculative Speculative Decoding. CoRR Tanishq Kumar, Tri Dao, Avner May
2026	J	`jnl`	When RL Meets Adaptive Speculative Training: A Unified Training-Serving System. CoRR Junxiong Wang, Fengxiang Bie, Jisen Li, Zhongzhu Zhou, Zelei Shao, Yubo Wang, Yinghui Liu, Qingyang Wu, Avner May, Sri Yanamandra, Yineng Zhang, Ce Zhang, Tri Dao, Percy Liang, Ben Athiwaratkun, Shuaiwen Leon Song, Chenfeng Xu, Xiaoxia Wu
2025	A*	`conf`	Cost-efficient Collaboration between On-device and Cloud Language Models. ICML Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2025	A*	`conf`	MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. ICLR Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen
2025	J	`jnl`	Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models. CoRR Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2024	A*	`conf`	Sequoia: Scalable and Robust Speculative Decoding. NeurIPS Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
2024	J	`jnl`	Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding. CoRR Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
2024	A*	`conf`	SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices. NeurIPS Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
2024	J	`jnl`	SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices. CoRR Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
2024	A*	`conf`	The Mamba in the Llama: Distilling and Accelerating Hybrid Models. NeurIPS Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2024	J	`jnl`	The Mamba in the Llama: Distilling and Accelerating Hybrid Models. CoRR Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2023	J	`jnl`	Audio-visual fine-tuning of audio-only ASR models. CoRR Avner May, Dmitriy Serdyuk, Ankit Parag Shah, Otavio Braga, Olivier Siohan
2020	A*	`conf`	Contextual Embeddings: When Are They Worth It? ACL Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	J	`jnl`	Contextual Embeddings: When Are They Worth It? CoRR Simran Arora, Avner May, Jian Zhang, Christopher Ré
2020	—	`conf`	Understanding the Downstream Instability of Word Embeddings. MLSys Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2020	J	`jnl`	Understanding the Downstream Instability of Word Embeddings. CoRR Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
2019	J	`jnl`	Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 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
2019	A	`conf`	Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS Jian Zhang, Avner May, Tri Dao, Christopher Ré
2019	A*	`conf`	On the Downstream Performance of Compressed Word Embeddings. NeurIPS Avner May, Jian Zhang, Tri Dao, Christopher Ré
2019	J	`jnl`	On the Downstream Performance of Compressed Word Embeddings. CoRR Avner May, Jian Zhang, Tri Dao, Christopher Ré
2018	—	`—`	Kernel Approximation Methods for Speech Recognition. Avner May
2018	J	`jnl`	Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR Jian Zhang, Avner May, Tri Dao, Christopher Ré
2017	J	`jnl`	Kernel Approximation Methods for Speech Recognition. CoRR 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
2016	J	`jnl`	A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016	Misc	`conf`	Compact kernel models for acoustic modeling via random feature selection. ICASSP Avner May, Michael Collins, Daniel J. Hsu, Brian Kingsbury
2014	A*	`conf`	Filter & follow: how social media foster content curation. SIGMETRICS Avner May, Augustin Chaintreau, Nitish Korula, Silvio Lattanzi
2014	J	`jnl`	How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha