Autonomous Inverted Helicopter Flight via Reinforcement Learning. - Andrew Y. Ng; Adam Coates 002; Mark Diel; Varun Ganapathi; Jamie Schulte; Ben Tse; Eric Berger; Eric Liang (ISER, 2004)

Discriminative Training of Kalman Filters. - Pieter Abbeel; Adam Coates 002; Michael Montemerlo; Andrew Y. Ng; Sebastian Thrun (Robotics: Science and Systems, 2005)

An Application of Reinforcement Learning to Aerobatic Helicopter Flight. - Pieter Abbeel; Adam Coates 002; Morgan Quigley; Andrew Y. Ng (NIPS, 2006)

Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array. - Masayoshi Matsuoka; Alan Chen 001; Surya P. N. Singh; Adam Coates 002; Andrew Y. Ng; Sebastian Thrun (Int. J. Robotics Res., 2007)

Learning for control from multiple demonstrations. - Adam Coates 002; Pieter Abbeel; Andrew Y. Ng (ICML, 2008)

Space-indexed dynamic programming: learning to follow trajectories. - J. Zico Kolter; Adam Coates 002; Andrew Y. Ng; Yi Gu; Charles DuHadway (ICML, 2008)

Autonomous Autorotation of an RC Helicopter. - Pieter Abbeel; Adam Coates 002; Timothy Hunter; Andrew Y. Ng (ISER, 2008)

Scalable learning for object detection with GPU hardware. - Adam Coates 002; Paul Baumstarck; Quoc V. Le; Andrew Y. Ng (IROS, 2009)

Apprenticeship learning for helicopter control. - Adam Coates 002; Pieter Abbeel; Andrew Y. Ng (Commun. ACM, 2009)

Multi-camera object detection for robotics. - Adam Coates 002; Andrew Y. Ng (ICRA, 2010)

Sub-meter indoor localization in unmodified environments with inexpensive sensors. - Morgan Quigley; David Stavens; Adam Coates 002; Sebastian Thrun (IROS, 2010)

Autonomous Helicopter Aerobatics through Apprenticeship Learning. - Pieter Abbeel; Adam Coates 002; Andrew Y. Ng (Int. J. Robotics Res., 2010)

Autonomous Helicopter Flight Using Reinforcement Learning. - Adam Coates 002; Pieter Abbeel; Andrew Y. Ng (Encyclopedia of Machine Learning, 2010)

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. - Adam Coates 002; Blake Carpenter; Carl Case; Sanjeev Satheesh; Bipin Suresh; Tao Wang; David J. Wu 001; Andrew Y. Ng (ICDAR, 2011)

The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. - Adam Coates 002; Andrew Y. Ng (ICML, 2011)

On optimization methods for deep learning. - Quoc V. Le; Jiquan Ngiam; Adam Coates 002; Ahbik Lahiri; Bobby Prochnow; Andrew Y. Ng (ICML, 2011)

Autonomous sign reading for semantic mapping. - Carl Case; Bipin Suresh; Adam Coates 002; Andrew Y. Ng (ICRA, 2011)

Selecting Receptive Fields in Deep Networks. - Adam Coates 002; Andrew Y. Ng (NIPS, 2011)

An Analysis of Single-Layer Networks in Unsupervised Feature Learning. - Adam Coates 002; Andrew Y. Ng; Honglak Lee (AISTATS, 2011)

End-to-end text recognition with convolutional neural networks. - Tao Wang; David J. Wu 001; Adam Coates 002; Andrew Y. Ng (ICPR, 2012)

Emergence of Object-Selective Features in Unsupervised Feature Learning. - Adam Coates 002; Andrej Karpathy; Andrew Y. Ng (NIPS, 2012)

Demystifying unsupervised feature learning. - Adam Coates 002 (2012)

Learning Feature Representations with K-Means. - Adam Coates 002; Andrew Y. Ng (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Deep Learning for Machine Vision. - Adam Coates 002 (BMVC, 2013)

Deep learning with COTS HPC systems. - Adam Coates 002; Brody Huval; Tao Wang; David J. Wu 001; Bryan Catanzaro; Andrew Y. Ng (ICML (3), 2013)

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 002; Andrew Y. Ng (CoRR, 2014)

Deep learning for class-generic object detection. - Brody Huval; Adam Coates 002; Andrew Y. Ng (ICLR (Workshop Poster), 2014)

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 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 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 002; et al. (CoRR, 2015)

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 002; Greg Diamos; et al. (ICML, 2016)

Persistent RNNs: Stashing Recurrent Weights On-Chip. - Greg Diamos; Shubho Sengupta; Bryan Catanzaro; Mike Chrzanowski; Adam Coates 002; Erich Elsen; Jesse H. Engel; Awni Y. Hannun; Sanjeev Satheesh (ICML, 2016)

Active Learning for Speech Recognition: the Power of Gradients. - Jiaji Huang; Rewon Child; Vinay Rao; Hairong Liu; Sanjeev Satheesh; Adam Coates 002 (CoRR, 2016)

Exploring neural transducers for end-to-end speech recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; Anuroop Sriram; Zhenyao Zhu (ASRU, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (ICML, 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 002 (INTERSPEECH, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (CoRR, 2017)

Exploring Neural Transducers for End-to-End Speech Recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; David Seetapun; Anuroop Sriram; Zhenyao Zhu (CoRR, 2017)

Reducing Bias in Production Speech Models. - Eric Battenberg; Rewon Child; Adam Coates 002; Christopher Fougner; Yashesh Gaur; Jiaji Huang; Heewoo Jun; Ajay Kannan; Markus Kliegl; Atul Kumar; Hairong Liu; Vinay Rao; et al. (CoRR, 2017)

Principled Hybrids of Generative and Discriminative Domain Adaptation. - Han Zhao 002; Zhenyao Zhu; Junjie Hu 001; Adam Coates 002; Geoffrey J. Gordon (CoRR, 2017)

Autonomous Helicopter Flight Using Reinforcement Learning. - Adam Coates 002; Pieter Abbeel; Andrew Y. Ng (Encyclopedia of Machine Learning and Data Mining, 2017)

Cold Fusion: Training Seq2Seq Models Together with Language Models. - Anuroop Sriram; Heewoo Jun; Sanjeev Satheesh; Adam Coates 002 (INTERSPEECH, 2018)

Deep Generative and Discriminative Domain Adaptation. - Han Zhao 002; Junjie Hu 001; Zhenyao Zhu; Adam Coates 002; Geoffrey J. Gordon (AAMAS, 2019)