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OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery

Nov 14, 2020
Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng

* Tackling Climate Change with Machine Learning at NeurIPS 2020 (Spotlight talk) 

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GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video

Nov 12, 2020
Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys, Eric Yang, Andrew Y. Ng, Pranav Rajpurkar

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays

Nov 12, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew Lungren

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Nov 11, 2020
Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng

* Tackling Climate Change with Machine Learning at NeurIPS 2020 

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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models

Oct 14, 2020
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne


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MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

Oct 11, 2020
Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng, Pranav Rajpurkar


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DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set

Sep 24, 2020
Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar

* Corrections to folder structure figure 

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CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness

Jul 13, 2020
Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Andrew Y. Ng, Matthew P. Lungren


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Evaluating the Disentanglement of Deep Generative Models through Manifold Topology

Jun 05, 2020
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Stefano Ermon


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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Apr 30, 2020
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren


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CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

Mar 11, 2020
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren

* Accepted as workshop paper at ACM Conference on Health, Inference, and Learning (CHIL) 2020 

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Data augmentation with Möbius transformations

Feb 07, 2020
Sharon Zhou, Jiequan Zhang, Hang Jiang, Torbjörn Lundh, Andrew Y. Ng


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NGBoost: Natural Gradient Boosting for Probabilistic Prediction

Oct 09, 2019
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler


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Tackling Climate Change with Machine Learning

Jun 10, 2019
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio


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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Jan 21, 2019
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng

* Published in AAAI 2019 

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MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

May 22, 2018
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

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

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

Dec 25, 2017
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


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Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Jul 06, 2017
Pranav Rajpurkar, Awni Y. Hannun, Masoumeh Haghpanahi, Codie Bourn, Andrew Y. Ng


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Data Noising as Smoothing in Neural Network Language Models

Mar 07, 2017
Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng

* ICLR 2017 

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Neural Language Correction with Character-Based Attention

Mar 31, 2016
Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng

* 10 pages 

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An Empirical Evaluation of Deep Learning on Highway Driving

Apr 17, 2015
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

* Added a video for lane detection 

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Building DNN Acoustic Models for Large Vocabulary Speech Recognition

Jan 20, 2015
Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng


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

Dec 19, 2014
Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng


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

Dec 08, 2014
Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky, Andrew Y. Ng


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