| 2022 | ACSSC | Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. | Amirata Ghorbani, Andre Esteva, James Zou |
| 2022 | ACSSC | Data Shapley Valuation for Efficient Batch Active Learning. | Amirata Ghorbani, James Zou, Andre Esteva |
| 2021 | AIES | Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. | Gal Yona, Amirata Ghorbani, James Zou |
| 2021 | AISTATS | Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. | Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou |
| 2021 | ICLR | How Does Mixup Help With Robustness and Generalization? | Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou |
| 2020 | ICML | A Distributional Framework For Data Valuation. | Amirata Ghorbani, Michael P. Kim, James Zou |
| 2019 | AAAI | Interpretation of Neural Networks Is Fragile. | Amirata Ghorbani, Abubakar Abid, James Y. Zou |
| 2019 | AIES | Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. | Michael P. Kim, Amirata Ghorbani, James Y. Zou |
| 2019 | AISTATS | Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. | Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou |
| 2019 | ICML | Data Shapley: Equitable Valuation of Data for Machine Learning. | Amirata Ghorbani, James Y. Zou |