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ORCIDAdam Coates 0002
Person information
- affiliation: Apple
- affiliation (former): Baidu Silicon Valley Artificial Intelligence Lab, Sunnyvale, CA, USA
- affiliation (PhD 2012): Stanford University, Computer Science Department, USA
Other persons with the same name
- Adam Coates 0001 — Manchester Metropolitan University, School of Computing and Mathematics and Digital Technology, UK
- Adam Coates 0003
![[0000-0002-6247-1807]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6247-1807")
— Hanyang University, Center for Creative Convergence Education, CEEC, Seoul, Korea
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2010 – 2019
- 2019
[c29]Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon:
Deep Generative and Discriminative Domain Adaptation. AAMAS 2019: 2315-2317- 2018
- [c28]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold fusion: Training Seq2seq Models Together with Language Models. ICLR (Workshop) 2018 - [c27]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold Fusion: Training Seq2Seq Models Together with Language Models. INTERSPEECH 2018: 387-391 - 2017
- [c26]Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu:
Exploring neural transducers for end-to-end speech recognition. ASRU 2017: 206-213 - [c25]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. ICML 2017: 195-204 - [c24]Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates:
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. INTERSPEECH 2017: 1606-1610 - [r2]Adam Coates, Pieter Abbeel, Andrew Y. Ng:
Autonomous Helicopter Flight Using Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining 2017: 75-85 - [i10]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. CoRR abs/1702.07825 (2017) - [i9]Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates:
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. CoRR abs/1703.05390 (2017) - [i8]Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Reducing Bias in Production Speech Models. CoRR abs/1705.04400 (2017) - [i7]Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon:
Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR abs/1705.09011 (2017) - [i6]Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Exploring Neural Transducers for End-to-End Speech Recognition. CoRR abs/1707.07413 (2017) - [i5]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold Fusion: Training Seq2Seq Models Together with Language Models. CoRR abs/1708.06426 (2017) - 2016
- [c23]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c22]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - [i4]Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates:
Active Learning for Speech Recognition: the Power of Gradients. CoRR abs/1612.03226 (2016) - 2015
- [i3]Brody Huval, Tao Wang, Sameep Tandon, Jeff Kiske, Will Song, Joel Pazhayampallil, Mykhaylo Andriluka, Pranav Rajpurkar, Toki Migimatsu, Royce Cheng-Yue, Fernando A. Mujica, Adam Coates, Andrew Y. Ng:
An Empirical Evaluation of Deep Learning on Highway Driving. CoRR abs/1504.01716 (2015) - [i2]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [c21]Brody Huval, Adam Coates, Andrew Y. Ng:
Deep learning for class-generic object detection. ICLR (Workshop Poster) 2014 - [i1]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014) - 2013
- [c20]Adam Coates:
Deep Learning for Machine Vision. BMVC 2013 - [c19]Adam Coates, Brody Huval, Tao Wang, David J. Wu, Bryan Catanzaro, Andrew Y. Ng:
Deep learning with COTS HPC systems. ICML (3) 2013: 1337-1345 - 2012
- [b1]Adam Coates:
Demystifying unsupervised feature learning. Stanford University, USA, 2012 - [c18]Tao Wang, David J. Wu, Adam Coates, Andrew Y. Ng:
End-to-end text recognition with convolutional neural networks. ICPR 2012: 3304-3308 - [c17]Adam Coates, Andrej Karpathy, Andrew Y. Ng:
Emergence of Object-Selective Features in Unsupervised Feature Learning. NIPS 2012: 2690-2698 - [p1]Adam Coates, Andrew Y. Ng:
Learning Feature Representations with K-Means. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 561-580 - 2011
- [c16]Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng:
Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. ICDAR 2011: 440-445 - [c15]Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng:
On optimization methods for deep learning. ICML 2011: 265-272 - [c14]Adam Coates, Andrew Y. Ng:
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. ICML 2011: 921-928 - [c13]Carl Case, Bipin Suresh, Adam Coates, Andrew Y. Ng:
Autonomous sign reading for semantic mapping. ICRA 2011: 3297-3303 - [c12]Adam Coates, Andrew Y. Ng:
Selecting Receptive Fields in Deep Networks. NIPS 2011: 2528-2536 - [c11]Adam Coates, Andrew Y. Ng, Honglak Lee:
An Analysis of Single-Layer Networks in Unsupervised Feature Learning. AISTATS 2011: 215-223 - 2010
- [j3]Pieter Abbeel, Adam Coates, Andrew Y. Ng:
Autonomous Helicopter Aerobatics through Apprenticeship Learning. Int. J. Robotics Res. 29(13): 1608-1639 (2010) - [c10]Adam Coates, Andrew Y. Ng:
Multi-camera object detection for robotics. ICRA 2010: 412-419 - [c9]Morgan Quigley, David Stavens, Adam Coates, Sebastian Thrun:
Sub-meter indoor localization in unmodified environments with inexpensive sensors. IROS 2010: 2039-2046 - [r1]Adam Coates, Pieter Abbeel, Andrew Y. Ng:
Autonomous Helicopter Flight Using Reinforcement Learning. Encyclopedia of Machine Learning 2010: 53-61
2000 – 2009
- 2009
- [j2]Adam Coates, Pieter Abbeel, Andrew Y. Ng:
Apprenticeship learning for helicopter control. Commun. ACM 52(7): 97-105 (2009) - [c8]Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng:
Scalable learning for object detection with GPU hardware. IROS 2009: 4287-4293 - 2008
- [c7]Adam Coates, Pieter Abbeel, Andrew Y. Ng:
Learning for control from multiple demonstrations. ICML 2008: 144-151 - [c6]J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway:
Space-indexed dynamic programming: learning to follow trajectories. ICML 2008: 488-495 - [c5]Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng:
Autonomous Autorotation of an RC Helicopter. ISER 2008: 385-394 - 2007
- [j1]Masayoshi Matsuoka, Alan Chen, Surya P. N. Singh, Adam Coates, Andrew Y. Ng, Sebastian Thrun:
Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array. Int. J. Robotics Res. 26(2): 205-215 (2007) - 2006
- [c4]Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng:
An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS 2006: 1-8 - 2005
- [c3]Masayoshi Matsuoka, Alan Chen, Surya P. N. Singh, Adam Coates, Andrew Y. Ng, Sebastian Thrun:
Autonomous Helicopter Tracking and Localization Using a Self-Surveying Camera Array. FSR 2005: 19-30 - [c2]Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun:
Discriminative Training of Kalman Filters. Robotics: Science and Systems 2005: 289-296 - 2004
- [c1]Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang:
Autonomous Inverted Helicopter Flight via Reinforcement Learning. ISER 2004: 363-372
Coauthor Index
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