Adriel Saporta

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Invariant Representations

Question Answering

Top Venues

NeurIPS Datasets and Benchmarks

Nat. Mac. Intell.

Publications

Neil Jethani, Adriel Saporta, Rajesh Ranganath
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation. AISTATS (2023)
Neil Jethani, Adriel Saporta, Rajesh Ranganath
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation. CoRR (2023)
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
Benchmarking saliency methods for chest X-ray interpretation. Nat. Mac. Intell. 4 (10) (2022)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CLeaR (2022)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. CoRR (2021)
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. CoRR (2021)
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets and Benchmarks (2021)
Cécile Logé, Emily Ross, David Yaw Amoah Dadey, Saahil Jain, Adriel Saporta, Andrew Y. Ng, Pranav Rajpurkar
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management. NeurIPS Datasets and Benchmarks (2021)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CoRR (2021)