Rajiv Mathews - RankMe

54 papers A* 3A 6B 1C 1Misc 5Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World. EACL (Volume 1: Long Papers) Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang
2026	J	`jnl`	Steering LLMs for Culturally Localized Generation. CoRR Simran Khanuja, Hongbin Liu, Shujian Zhang, John Lambert, Mingqing Chen, Rajiv Mathews, Lun Wang
2026	—	`conf`	We Are What We Repeatedly Do: Improving Long Context Instruction Following. EACL (Findings) Preston K. Robinette, Andrew Hard, Swaroop Ramaswamy, Ehsan Amid, Rajiv Mathews, Taylor T. Johnson
2025	J	`jnl`	Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World. CoRR Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang
2025	J	`jnl`	Eliciting Behaviors in Multi-Turn Conversations. CoRR Jing Huang, Shujian Zhang, Lun Wang, Andrew Hard, Rajiv Mathews, John Lambert
2025	J	`jnl`	Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process. CoRR Zhenyu Zhang, Shujian Zhang, John Lambert, Wenxuan Zhou, Zhangyang Wang, Mingqing Chen, Andrew Hard, Rajiv Mathews, Lun Wang
2025	J	`jnl`	MUSIC: MUlti-Step Instruction Contrast for Multi-Turn Reward Models. CoRR Wenzhe Li, Shujian Zhang, Wenxuan Zhou, John Lambert, Chi Jin, Andrew Hard, Rajiv Mathews, Lun Wang
2025	J	`jnl`	Recycling Scraps: Improving Private Learning by Leveraging Checkpoints]{Recycling Scraps: Improving Private Learning by Leveraging Checkpoints. Proc. Priv. Enhancing Technol. Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Yarong Mu, Shuang Song, Om Thakkar, Abhradeep Thakurta, Xinyi Zheng
2024	Misc	`conf`	FedAQT: Accurate Quantized Training with Federated Learning. ICASSP Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews
2024	J	`jnl`	Learning from straggler clients in federated learning. CoRR Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil
2024	J	`jnl`	Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. CoRR Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews
2024	Misc	`conf`	Unintended Memorization in Large ASR Models, and How to Mitigate It. ICASSP Lun Wang, Om Thakkar, Rajiv Mathews
2023	J	`jnl`	Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews
2023	Misc	`conf`	Online Model Compression for Federated Learning with Large Models. ICASSP Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2023	C	`conf`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2023	J	`jnl`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2023	J	`jnl`	Unintended Memorization in Large ASR Models, and How to Mitigate It. CoRR Lun Wang, Om Thakkar, Rajiv Mathews
2022	Misc	`conf`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2022	Misc	`conf`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	J	`jnl`	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
2022	A	`conf`	Detecting Unintended Memorization in Language-Model-Fused ASR. INTERSPEECH W. Ronny Huang, Steve Chien, Om Dipakbhai Thakkar, Rajiv Mathews
2022	J	`jnl`	Detecting Unintended Memorization in Language-Model-Fused ASR. CoRR W. Ronny Huang, Steve Chien, Om Thakkar, Rajiv Mathews
2022	A	`conf`	Extracting Targeted Training Data from ASR Models, and How to Mitigate It. INTERSPEECH Ehsan Amid, Om Dipakbhai Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays
2022	J	`jnl`	Extracting Targeted Training Data from ASR Models, and How to Mitigate It. CoRR Ehsan Amid, Om Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays
2022	J	`jnl`	Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. CoRR Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim
2022	J	`jnl`	Mixed Federated Learning: Joint Decentralized and Centralized Learning. CoRR Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews
2022	J	`jnl`	Online Model Compression for Federated Learning with Large Models. CoRR Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
2022	A	`conf`	Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. INTERSPEECH Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays
2022	J	`jnl`	Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. CoRR Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays
2022	A*	`conf`	Public Data-Assisted Mirror Descent for Private Model Training. ICML Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
2022	J	`jnl`	Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints. CoRR Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Om Thakkar, Abhradeep Thakurta
2022	J	`jnl`	Scaling Language Model Size in Cross-Device Federated Learning. CoRR Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews
2022	A	`conf`	UserLibri: A Dataset for ASR Personalization Using Only Text. INTERSPEECH Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2022	J	`jnl`	UserLibri: A Dataset for ASR Personalization Using Only Text. CoRR Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2021	J	`jnl`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	A	`conf`	Communication-Efficient Agnostic Federated Averaging. Interspeech Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Communication-Efficient Agnostic Federated Averaging. CoRR Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift. CoRR Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews
2021	J	`jnl`	Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
2021	J	`jnl`	Public Data-Assisted Mirror Descent for Private Model Training. CoRR Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
2021	A*	`conf`	Revealing and Protecting Labels in Distributed Training. NeurIPS Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	J	`jnl`	Revealing and Protecting Labels in Distributed Training. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2020	A*	`conf`	Generative Models for Effective ML on Private, Decentralized Datasets. ICLR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
2020	A	`conf`	Training Keyword Spotting Models on Non-IID Data with Federated Learning. INTERSPEECH Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews
2020	J	`jnl`	Training Keyword Spotting Models on Non-IID Data with Federated Learning. CoRR Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews
2020	J	`jnl`	Training Production Language Models without Memorizing User Data. CoRR Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays
2020	J	`jnl`	Understanding Unintended Memorization in Federated Learning. CoRR Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Françoise Beaufays
2019	J	`jnl`	Federated Evaluation of On-device Personalization. CoRR Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage
2019	J	`jnl`	Federated Learning Of Out-Of-Vocabulary Words. CoRR Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays
2019	J	`jnl`	Federated Learning for Emoji Prediction in a Mobile Keyboard. CoRR Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao, Françoise Beaufays
2019	B	`conf`	Federated Learning of N-Gram Language Models. CoNLL Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
2019	J	`jnl`	Federated Learning of N-gram Language Models. CoRR Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley
2019	J	`jnl`	Generative Models for Effective ML on Private, Decentralized Datasets. CoRR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
2018	J	`jnl`	Federated Learning for Mobile Keyboard Prediction. CoRR Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage