Daniel S. Park

26 papers A* 1A 3Misc 4Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GridDER: Grid Detection and Evaluation in R. Ecol. Informatics Xiao Feng, Tainá Rocha, Hanna T. Thammavong, Rima Tulaiha, Xin Chen, Yingying Xie, Daniel S. Park
2023	A	`conf`	Discovering Adaptable Symbolic Algorithms from Scratch. IROS Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
2023	J	`jnl`	Discovering Adaptable Symbolic Algorithms from Scratch. CoRR Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real
2023	J	`jnl`	Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu
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	J	`jnl`	Noise2Music: Text-conditioned Music Generation with Diffusion Models. CoRR Qingqing Huang, Daniel S. Park, Tao Wang, Timo I. Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Havnø Frank, Jesse H. Engel, Quoc V. Le, William Chan, Wei Han
2022	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
2022	—	`conf`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. SLT Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	J	`jnl`	G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. CoRR Gary Wang, Ekin D. Cubuk, Andrew Rosenberg, Shuyang Cheng, Ron J. Weiss, Bhuvana Ramabhadran, Pedro J. Moreno, Quoc V. Le, Daniel S. Park
2022	Misc	`conf`	Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
2021	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
2021	Misc	`conf`	Efficient Knowledge Distillation for RNN-Transducer Models. ICASSP Sankaran Panchapagesan, Daniel S. Park, Chung-Cheng Chiu, Yuan Shangguan, Qiao Liang, Alexander Gruenstein
2021	J	`jnl`	SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network. CoRR William Chan, Daniel S. Park, Chris A. Lee, Yu Zhang, Quoc V. Le, Mohammad Norouzi
2021	J	`jnl`	Universal Paralinguistic Speech Representations Using Self-Supervised Conformers. CoRR Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
2020	J	`jnl`	Efficient Knowledge Distillation for RNN-Transducer Models. CoRR Sankaran Panchapagesan, Daniel S. Park, Chung-Cheng Chiu, Yuan Shangguan, Qiao Liang, Alexander Gruenstein
2020	A	`conf`	Improved Noisy Student Training for Automatic Speech Recognition. INTERSPEECH Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
2020	J	`jnl`	Improved Noisy Student Training for Automatic Speech Recognition. CoRR Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
2020	J	`jnl`	Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. CoRR Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
2020	Misc	`conf`	Specaugment on Large Scale Datasets. ICASSP Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
2020	J	`jnl`	Towards NNGP-guided Neural Architecture Search. CoRR Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein
2019	J	`jnl`	SpecAugment on Large Scale Datasets. CoRR Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
2019	A	`conf`	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. INTERSPEECH Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
2019	J	`jnl`	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. CoRR Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
2019	A*	`conf`	The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study. ICML Daniel S. Park, Jascha Sohl-Dickstein, Quoc V. Le, Samuel L. Smith
2019	J	`jnl`	The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study. CoRR Daniel S. Park, Jascha Sohl-Dickstein, Quoc V. Le, Samuel L. Smith