Jared Dunnmon - RankMe

30 papers A* 5A 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. CoRR Yanbo Zhang, Sumeer Ahmad Khan, Adnan Mahmud, Huck Yang, Alexander Lavin, Michael Levin, Jeremy G. Frey, Jared Dunnmon, James A. Evans, Alan R. Bundy, Saso Dzeroski, Jesper Tegnér, Hector Zenil
2022	A*	`conf`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	J	`jnl`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	J	`jnl`	Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2022	A*	`conf`	Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
2022	—	`conf`	ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
2022	A*	`conf`	xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon
2022	J	`jnl`	xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon
2021	J	`jnl`	OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. CoRR Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren
2020	J	`jnl`	Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. 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
2020	—	`conf`	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2020	A	`conf`	Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
2020	J	`jnl`	Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré
2020	J	`jnl`	Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
2020	A*	`conf`	No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
2020	J	`jnl`	PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. 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
2020	J	`jnl`	Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer
2019	J	`jnl`	Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 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
2019	J	`jnl`	Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR 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
2019	—	`conf`	Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin
2019	J	`jnl`	Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2019	J	`jnl`	Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. CoRR Swetava Ganguli, Jared Dunnmon, Darren Hau
2019	J	`jnl`	Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic
2019	A*	`conf`	Training Complex Models with Multi-Task Weak Supervision. AAAI Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2018	—	`conf`	Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré
2018	J	`jnl`	Training Complex Models with Multi-Task Weak Supervision. CoRR Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2017	—	`conf`	Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017	J	`jnl`	Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré
2017	J	`jnl`	Machine Learning for Better Models for Predicting Bond Prices. CoRR Swetava Ganguli, Jared Dunnmon
2017	J	`jnl`	Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors. CoRR Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin