W. Ronny Huang

54 papers A* 6A 8C 2Misc 6Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. ICASSP W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
2024	J	`jnl`	Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
2023	Misc	`conf`	A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
2023	J	`jnl`	A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
2023	J	`jnl`	Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition. CoRR Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar
2023	C	`conf`	Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition. ASRU Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar
2023	J	`jnl`	Dual Learning for Large Vocabulary On-Device ASR. CoRR Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
2023	Misc	`conf`	E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
2023	Misc	`conf`	Large-Scale Language Model Rescoring on Long-Form Data. ICASSP Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley
2023	J	`jnl`	Large-scale Language Model Rescoring on Long-form Data. CoRR Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley
2023	A	`conf`	Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
2023	J	`jnl`	Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
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	—	`conf`	Dual Learning for Large Vocabulary On-Device ASR. SLT Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
2022	J	`jnl`	E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
2022	A	`conf`	E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. INTERSPEECH W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen
2022	J	`jnl`	E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. CoRR W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu
2022	A	`conf`	Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
2022	J	`jnl`	Improving Rare Word Recognition with LM-aware MWER Training. CoRR Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
2022	—	`conf`	Modular Hybrid Autoregressive Transducer. SLT Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno
2022	J	`jnl`	Modular Hybrid Autoregressive Transducer. CoRR Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno
2022	A	`conf`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar
2022	J	`jnl`	Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar
2022	A	`conf`	Towards Disentangled Speech Representations. INTERSPEECH Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
2022	J	`jnl`	Towards Disentangled Speech Representations. CoRR Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
2021	A*	`conf`	GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. NeurIPS Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
2021	J	`jnl`	GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. CoRR Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
2021	A	`conf`	Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
2021	J	`jnl`	Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
2021	C	`conf`	Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
2021	J	`jnl`	Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma
2021	A*	`conf`	Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. ICLR Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
2020	—	`conf`	Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2020	A	`conf`	DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. WACV Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange
2020	A*	`conf`	MetaPoison: Practical General-purpose Clean-label Data Poisoning. NeurIPS W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
2020	J	`jnl`	MetaPoison: Practical General-purpose Clean-label Data Poisoning. CoRR W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
2020	A*	`conf`	The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. ICML Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
2020	—	`conf`	Understanding Generalization Through Visualizations. ICBINB@NeurIPS W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein
2020	J	`jnl`	Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
2019	—	`conf`	Are adversarial examples inevitable? ICLR (Poster) Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
2019	J	`jnl`	DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. CoRR W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan L. DeGange
2019	J	`jnl`	Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2019	J	`jnl`	The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. CoRR Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
2019	A*	`conf`	Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. ICML Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
2019	J	`jnl`	Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. CoRR Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
2019	J	`jnl`	Understanding Generalization through Visualizations. CoRR W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein
2018	J	`jnl`	Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring. CoRR W. Ronny Huang, Miguel A. Perez
2018	J	`jnl`	Are adversarial examples inevitable? CoRR Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
2018	A*	`conf`	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
2018	J	`jnl`	Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein