Kimia Hamidieh

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Mahalanobis Metric

Neural Network Training

Semi Supervised Clustering

Top Venues

Publications

Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. CoRR (2024)
Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. ICLR (2024)
Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. CoRR (2024)
Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. CoRR (2022)
Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. ICLR (2022)
Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. CoRR (2022)
Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh-sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types. BMC Bioinform. 23 (1) (2022)
Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. FAccT (2022)
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot
Selective Classification Via Neural Network Training Dynamics. CoRR (2022)