Adam Coates

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 22

Top Topics

Recurrent Neural Networks

Speech Recognition

Keyword Spotting

Top Venues

Publications

Adam Coates
Academic journals' usernames and the threat of fraudulent accounts on social media. Learn. Publ. 35 (2) (2022)
Adam Coates
How often are basic details of the research process mentioned in social science research papers? Learn. Publ. 34 (2) (2021)
Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon
Deep Generative and Discriminative Domain Adaptation. AAMAS (2019)
Adam Coates, Liangxiu Han, Anthony Kleerekoper
A Unified Framework for Opinion Dynamics. AAMAS (2018)
Adam Coates, Liangxiu Han, Anthony Kleerekoper
A Unified Opinion Framework Simulator. AAMAS (2018)
Pouyan Dinarvand, Liangxiu Han, Adam Coates, Lianghao Han
Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. HPCC/SmartCity/DSS (2018)
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
Cold Fusion: Training Seq2Seq Models Together with Language Models. INTERSPEECH (2018)
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
Cold fusion: Training Seq2seq Models Together with Language Models. ICLR (Workshop) (2018)
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 (2017)
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
Cold Fusion: Training Seq2Seq Models Together with Language Models. CoRR (2017)
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)
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)
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 (2017)
Kieran Gerard Holmes, Adam Coates, Mohammad Hammoudeh
Motion Capture Using the Internet of Things Technology: A Tutorial. ICFNDS (2017)
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)
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 (2017)
Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon
Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR (2017)
Adam Coates, Mohammad Hammoudeh, Kieran Gerard Holmes
Internet of Things for Buildings Monitoring: Experiences and Challenges. ICFNDS (2017)
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 (2017)
Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates
Active Learning for Speech Recognition: the Power of Gradients. CoRR (2016)
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)
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)
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 (2015)
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 (2015)
Brody Huval, Adam Coates, Andrew Y. Ng
Deep learning for class-generic object detection. ICLR (Workshop Poster) (2014)
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 (2014)
Adam Coates, Brody Huval, Tao Wang, David J. Wu, Bryan Catanzaro, Andrew Y. Ng
Deep learning with COTS HPC systems. ICML (3) (2013)
Adam Coates
Deep Learning for Machine Vision. BMVC (2013)
Tao Wang, David J. Wu, Adam Coates, Andrew Y. Ng
End-to-end text recognition with convolutional neural networks. ICPR (2012)
Adam Coates, Andrej Karpathy, Andrew Y. Ng
Emergence of Object-Selective Features in Unsupervised Feature Learning. NIPS (2012)
Adam Coates, Andrew Y. Ng
Selecting Receptive Fields in Deep Networks. NIPS (2011)
Adam Coates, Andrew Y. Ng
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization. ICML (2011)
Carl Case, Bipin Suresh, Adam Coates, Andrew Y. Ng
Autonomous sign reading for semantic mapping. ICRA (2011)
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)
Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng
On optimization methods for deep learning. ICML (2011)
Adam Coates, Andrew Y. Ng, Honglak Lee
An Analysis of Single-Layer Networks in Unsupervised Feature Learning. AISTATS (2011)
Adam Coates, Andrew Y. Ng
Multi-camera object detection for robotics. ICRA (2010)
Morgan Quigley, David Stavens, Adam Coates, Sebastian Thrun
Sub-meter indoor localization in unmodified environments with inexpensive sensors. IROS (2010)
Pieter Abbeel, Adam Coates, Andrew Y. Ng
Autonomous Helicopter Aerobatics through Apprenticeship Learning. Int. J. Robotics Res. 29 (13) (2010)
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y. Ng
Scalable learning for object detection with GPU hardware. IROS (2009)
Adam Coates, Pieter Abbeel, Andrew Y. Ng
Apprenticeship learning for helicopter control. Commun. ACM 52 (7) (2009)
Adam Coates, Pieter Abbeel, Andrew Y. Ng
Learning for control from multiple demonstrations. ICML (2008)
J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, Charles DuHadway
Space-indexed dynamic programming: learning to follow trajectories. ICML (2008)
Pieter Abbeel, Adam Coates, Timothy Hunter, Andrew Y. Ng
Autonomous Autorotation of an RC Helicopter. ISER (2008)
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) (2007)
Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng
An Application of Reinforcement Learning to Aerobatic Helicopter Flight. NIPS (2006)
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)
Pieter Abbeel, Adam Coates, Michael Montemerlo, Andrew Y. Ng, Sebastian Thrun
Discriminative Training of Kalman Filters. Robotics: Science and Systems (2005)
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)