Kimia Noorbakhsh

According to our database, Kimia Noorbakhsh authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning.

Kimia Noorbakhsh, Joseph Chandler, Pantea Karimi, Mohammad Alizadeh, Hari Balakrishnan

CoRR, February, 2025

TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression.

Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh

Trans. Mach. Learn. Res., 2025

2024

m3: Accurate Flow-Level Performance Estimation using Machine Learning.

Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

2023

Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression.

Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh

CoRR, 2023

2022

LPF-Defense: 3D Adversarial Defense based on Frequency Analysis.

Hanieh Naderi, Arian Etemadi, Kimia Noorbakhsh, Shohreh Kasaei

CoRR, 2022

Pre-Trained Language Transformers are Universal Image Classifiers.

Rahul Goel, Modar Sulaiman, Kimia Noorbakhsh, Mahdi Sharifi, Rajesh Sharma, Pooyan Jamshidi, Kallol Roy

CoRR, 2022

Counterfactual Temporal Point Processes.

Kimia Noorbakhsh, Manuel Gomez-Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Pretrained Language Models are Symbolic Mathematics Solvers too!

Kimia Noorbakhsh, Modar Sulaiman, Mahdi Sharifi, Kallol Roy, Pooyan Jamshidi

CoRR, 2021