Rabeeh Karimi Mahabadi

23 papers A* 5Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset.
CoRR
Rabeeh Karimi Mahabadi, Sanjeev Satheesh, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2024 — conf
TESS: Text-to-Text Self-Conditioned Simplex Diffusion.
EACL (1)
Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
2023 J jnl
TESS: Text-to-Text Self-Conditioned Simplex Diffusion.
CoRR
Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
2022 J jnl
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models.
CoRR
Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani
2022 — conf
Prompt-free and Efficient Few-shot Learning with Language Models.
ACL (1)
Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani
2021 A* conf
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers.
NeurIPS
Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder
2021 J jnl
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers.
CoRR
Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder
2021 — conf
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.
ACL/IJCNLP (1)
Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson
2021 J jnl
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.
CoRR
Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson
2021 J jnl
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
Trans. Assoc. Comput. Linguistics
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
2021 A* conf
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning.
ICLR
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2021 J jnl
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning.
CoRR
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2020 A* conf
End-to-End Bias Mitigation by Modelling Biases in Corpora.
ACL
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2020 J jnl
ParsiNLU: A Suite of Language Understanding Challenges for Persian.
CoRR
Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh
2019 J jnl
A Learning-Based Framework for Quantized Compressed Sensing.
IEEE Signal Process. Lett.
Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher
2019 J jnl
Simple but effective techniques to reduce biases.
CoRR
Rabeeh Karimi Mahabadi, James Henderson
2018 J jnl
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization.
IEEE Trans. Signal Process.
Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
2018 J jnl
Learning-Based Compressive MRI.
CoRR
Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2018 J jnl
Learning-Based Compressive MRI.
IEEE Trans. Medical Imaging
Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher
2018 — conf
Real-Time DCT Learning-based Reconstruction of Neural Signals.
EUSIPCO
Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher
2015 A* conf
Segment based 3D object shape priors.
CVPR
Rabeeh Karimi Mahabadi, Christian Hane, Marc Pollefeys
2014 A* conf
Scalable Sparse Covariance Estimation via Self-Concordance.
AAAI
Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
2014 J jnl
Scalable sparse covariance estimation via self-concordance.
CoRR
Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher