Adam Coates

According to our database, Adam Coates authored at least 42 papers between 2004 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Deep Generative and Discriminative Domain Adaptation.

Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Cold Fusion: Training Seq2Seq Models Together with Language Models.

Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Autonomous Helicopter Flight Using Reinforcement Learning.

Adam Coates, Pieter Abbeel, Andrew Y. Ng

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Principled Hybrids of Generative and Discriminative Domain Adaptation.

Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon

CoRR, 2017

Reducing Bias in Production Speech Models.

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

CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

CoRR, 2017

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting.

Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Deep Voice: Real-time Neural Text-to-Speech.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Exploring neural transducers for end-to-end speech recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Active Learning for Speech Recognition: the Power of Gradients.

Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates

CoRR, 2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

An Empirical Evaluation of Deep Learning on Highway Driving.

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

CoRR, 2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

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

CoRR, 2015

2014

Deep learning for class-generic object detection.

Brody Huval, Adam Coates, Andrew Y. Ng

Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Speech: Scaling up end-to-end speech recognition.

Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

CoRR, 2014

2013

Deep learning with COTS HPC systems.

Adam Coates, Brody Huval, Tao Wang, David J. Wu, Bryan Catanzaro, Andrew Y. Ng

Proceedings of the 30th International Conference on Machine Learning, 2013

Deep Learning for Machine Vision.

Adam Coates

Proceedings of the British Machine Vision Conference, 2013

2012

Learning Feature Representations with K-Means.

Adam Coates, Andrew Y. Ng

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Demystifying unsupervised feature learning.

Adam Coates

PhD thesis, 2012

Emergence of Object-Selective Features in Unsupervised Feature Learning.

Adam Coates, Andrej Karpathy, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

End-to-end text recognition with convolutional neural networks.

Tao Wang, David J. Wu, Adam Coates, Andrew Y. Ng

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

An Analysis of Single-Layer Networks in Unsupervised Feature Learning.

Adam Coates, Andrew Y. Ng, Honglak Lee

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Selecting Receptive Fields in Deep Networks.

Adam Coates, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Autonomous sign reading for semantic mapping.

Carl Case, Bipin Suresh, Adam Coates, Andrew Y. Ng

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

On optimization methods for deep learning.

Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization.

Adam Coates, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning.

Adam Coates, Blake Carpenter, Carl Case, Sanjeev Satheesh, Bipin Suresh, Tao Wang, David J. Wu, Andrew Y. Ng

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010

Autonomous Helicopter Flight Using Reinforcement Learning.

Adam Coates, Pieter Abbeel, Andrew Y. Ng

Proceedings of the Encyclopedia of Machine Learning, 2010

Autonomous Helicopter Aerobatics through Apprenticeship Learning.

Pieter Abbeel, Adam Coates, Andrew Y. Ng

Int. J. Robotics Res., 2010

Sub-meter indoor localization in unmodified environments with inexpensive sensors.

Morgan Quigley, David Stavens, Adam Coates, Sebastian Thrun

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Multi-camera object detection for robotics.

Adam Coates, Andrew Y. Ng

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Apprenticeship learning for helicopter control.

Adam Coates, Pieter Abbeel, Andrew Y. Ng

Commun. ACM, 2009

Scalable learning for object detection with GPU hardware.

Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008

Autonomous Autorotation of an RC Helicopter.

Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng

Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

Space-indexed dynamic programming: learning to follow trajectories.

J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway

Proceedings of the Machine Learning, 2008

Learning for control from multiple demonstrations.

Adam Coates, Pieter Abbeel, Andrew Y. Ng

Proceedings of the Machine Learning, 2008

2007

Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array.

Masayoshi Matsuoka, Alan Chen, Surya P. N. Singh, Adam Coates, Andrew Y. Ng, Sebastian Thrun

Int. J. Robotics Res., 2007

2006

An Application of Reinforcement Learning to Aerobatic Helicopter Flight.

Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Discriminative Training of Kalman Filters.

Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun

Proceedings of the Robotics: Science and Systems I, 2005

2004

Autonomous Inverted Helicopter Flight via Reinforcement Learning.

Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, Ben Tse, Eric Berger, Eric Liang

Proceedings of the Experimental Robotics IX, 2004