Ghorbani, Amirata

9 publications

NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Y Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

AISTATS 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou

ICLR 2021 How Does Mixup Help with Robustness and Generalization? Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou

ICML 2020 A Distributional Framework for Data Valuation Amirata Ghorbani, Michael Kim, James Zou

NeurIPS 2020 Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani, James Y Zou

ICML 2019 Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani, James Zou

AAAI 2019 Interpretation of Neural Networks Is Fragile Amirata Ghorbani, Abubakar Abid, James Y. Zou

AISTATS 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees Jaime Roquero Gimenez, Amirata Ghorbani, James Zou

NeurIPS 2019 Towards Automatic Concept-Based Explanations Amirata Ghorbani, James Wexler, James Y Zou, Been Kim