Kimia Hamidieh

According to our database1, Kimia Hamidieh authored at least 10 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Selective Prediction via Training Dynamics.
Trans. Mach. Learn. Res., 2025

2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection.
CoRR, 2024

Improving Subgroup Robustness via Data Selection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

BendVLM: Test-Time Debiasing of Vision-Language Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Identifying Implicit Social Biases in Vision-Language Models.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2022
Selective Classification Via Neural Network Training Dynamics.
CoRR, 2022

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types.
BMC Bioinform., 2022

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022


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