Andrew Y. Ng

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning

Maxime Voisin, Yichen Shen, Alireza Aliamiri, Anand Avati, Awni Hannun, Andrew Ng

Comments Equal contribution by Maxime Voisin and Yichen Shen

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

Comments 1st Conference on Medical Imaging with Deep Learning (MIDL 2018)

Ab initio model of optical properties of two-temperature warm dense matter

Bastian Holst, Vanina Recoules, Stephane Mazevet, Marc Torrent, Andrew Ng, Zhijiang Chen, Sean E. Kirkwood, V. Sametoglu, M. Reid, Ying Y. Tsui

Journal ref Physical Review B 90, 035121 (2014)

Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones

Sherry Ruan, Jacob O. Wobbrock, Kenny Liou, Andrew Ng, James Landay

Comments 23 pages

Journal ref Journal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies archive Volume 1 Issue 4, December 2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

Improving Palliative Care with Deep Learning

Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H. Shah

Comments IEEE International Conference on Bioinformatics and Biomedicine 2017

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng

Building high-level features using large scale unsupervised learning

Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg S. Corrado, Jeff Dean, Andrew Y. Ng

Data Noising as Smoothing in Neural Network Language Models

Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng

Comments ICLR 2017

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

Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

Comments Submitted to ICML 2017

Neural Language Correction with Character-Based Attention

Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng

Comments 10 pages

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 Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew 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

Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving

Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Ng

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 Mujica, Adam Coates, Andrew Y. Ng

Comments Added a video for lane detection

Building DNN Acoustic Models for Large Vocabulary Speech Recognition

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng

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

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

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky, Andrew Y. Ng

Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)

Jeff Bilmes, Andrew Ng

Deep learning for class-generic object detection

Brody Huval, Adam Coates, Andrew Ng

Tuned Models of Peer Assessment in MOOCs

Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, Daphne Koller

Comments Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013)

Zero-Shot Learning Through Cross-Modal Transfer

Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors

Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng

An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering

Michael Kearns, Yishay Mansour, Andrew Y. Ng

Comments Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)

PEGASUS: A Policy Search Method for Large MDPs and POMDPs

Andrew Y. Ng, Michael I. Jordan

Comments Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)

Learning Factor Graphs in Polynomial Time & Sample Complexity

Pieter Abbeel, Daphne Koller, Andrew Y. Ng

Comments Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)

Shift-Invariance Sparse Coding for Audio Classification

Roger Grosse, Rajat Raina, Helen Kwong, Andrew Y. Ng

Comments Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)

Optimal investment with inside information and parameter uncertainty

Albina Danilova, Michael Monoyios, Andrew Ng

Comments This paper has been withdrawn