Jared Dunnmon

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 29

Top Topics

Weakly Supervised

Machine Learning

Cancer Treatment

Pulmonary Embolism

Top Venues

npj Digit. Medicine

Publications

Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR (2022)
Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS (2022)
Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) (2022)
Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR (2022)
Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR (2022)
Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido Davidzon, Akshay Chaudhari, Matthew P. Lungren
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. CoRR (2021)
Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS (2020)
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020)
Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR (2020)
Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine 3 (2020)
Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR (2020)
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL (2020)
Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin
Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) (2019)
Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1 (12) (2019)
Swetava Ganguli, Jared Dunnmon, Darren Hau
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. CoRR (2019)
Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR (2019)
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Training Complex Models with Multi-Task Weak Supervision. AAAI (2019)
Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR (2019)
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR (2019)
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
Training Complex Models with Multi-Task Weak Supervision. CoRR (2018)
Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré
Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD (2018)
Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson Lam, Xuerong Xiao, Daniel L. Rubin
Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR (2017)
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS (2017)
Swetava Ganguli, Jared Dunnmon
Machine Learning for Better Models for Predicting Bond Prices. CoRR (2017)
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR (2017)