Hamidieh, Kimia

8 publications

TMLR 2025 Selective Prediction via Training Dynamics Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, Hamza Sokun, Nicolas Papernot

NeurIPS 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi

NeurIPS 2024 Improving Subgroup Robustness via Data Selection Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Mądry

ICLR 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi

NeurIPSW 2023 Better than Balancing: Debiasing Through Data Attribution Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Marzyeh Ghassemi, Aleksander Madry

ICMLW 2023 Identifying Implicit Social Biases in Vision-Language Models Kimia Hamidieh, Haoran Zhang, Thomas Hartvigsen, Marzyeh Ghassemi

ICMLW 2022 Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations Kimia Hamidieh, Haoran Zhang, Marzyeh Ghassemi

ICLR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi