Scalable Sparse Covariance Estimation via Self-Concordance. - Anastasios Kyrillidis; Rabeeh Karimi Mahabadi; Quoc Tran-Dinh; Volkan Cevher (AAAI, 2014)

Segment based 3D object shape priors. - Rabeeh Karimi Mahabadi; Christian Hane; Marc Pollefeys (CVPR, 2015)

Real-Time DCT Learning-based Reconstruction of Neural Signals. - Rabeeh Karimi Mahabadi; Cosimo Aprile; Volkan Cevher (EUSIPCO, 2018)

Learning-Based Compressive MRI. - Baran Gozcu; Rabeeh Karimi Mahabadi; Yen-Huan Li; Efe Ilicak; Tolga Çukur; Jonathan Scarlett; Volkan Cevher (IEEE Trans. Medical Imaging, 2018)

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. - Ya-Ping Hsieh; Yu-Chun Kao; Rabeeh Karimi Mahabadi; Alp Yurtsever; Anastasios Kyrillidis; Volkan Cevher (IEEE Trans. Signal Process., 2018)

Simple but effective techniques to reduce biases. - Rabeeh Karimi Mahabadi; James Henderson 001 (CoRR, 2019)

A Learning-Based Framework for Quantized Compressed Sensing. - Rabeeh Karimi Mahabadi; Junhong Lin; Volkan Cevher (IEEE Signal Process. Lett., 2019)

End-to-End Bias Mitigation by Modelling Biases in Corpora. - Rabeeh Karimi Mahabadi; Yonatan Belinkov; James Henderson 001 (ACL, 2020)

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. - Rabeeh Karimi Mahabadi; Sebastian Ruder; Mostafa Dehghani 001; James Henderson 001 (ACL/IJCNLP (1), 2021)

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. - Rabeeh Karimi Mahabadi; Yonatan Belinkov; James Henderson 001 (ICLR, 2021)

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers. - Rabeeh Karimi Mahabadi; James Henderson 001; Sebastian Ruder (NeurIPS, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Prompt-free and Efficient Few-shot Learning with Language Models. - Rabeeh Karimi Mahabadi; Luke Zettlemoyer; James Henderson 001; Lambert Mathias; Marzieh Saeidi; Veselin Stoyanov; Majid Yazdani (ACL (1), 2022)

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models. - Rabeeh Karimi Mahabadi; Luke Zettlemoyer; James Henderson 001; Marzieh Saeidi; Lambert Mathias; Veselin Stoyanov; Majid Yazdani (CoRR, 2022)

TESS: Text-to-Text Self-Conditioned Simplex Diffusion. - Rabeeh Karimi Mahabadi; Hamish Ivison; Jaesung Tae; James Henderson 001; Iz Beltagy; Matthew E. Peters; Arman Cohan (EACL (1), 2024)

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset. - Rabeeh Karimi Mahabadi; Sanjeev Satheesh; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2025)