Adriel Saporta

According to our database, Adriel Saporta authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation.

Neil Jethani, Adriel Saporta, Rajesh Ranganath

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Benchmarking saliency methods for chest X-ray interpretation.

Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, Anuj Pareek, Steven Q. H. Truong, Chanh D. T. Nguyen, Van Doan Ngo, Jayne Seekins, Francis G. Blankenberg, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar

Nat. Mac. Intell., October, 2022

Learning Invariant Representations with Missing Data.

Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management.

Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021