Rabeeh Karimi Mahabadi

According to our database, Rabeeh Karimi Mahabadi authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models.

Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani

CoRR, 2022

Prompt-free and Efficient Few-shot Learning with Language Models.

Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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, 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

Trans. Assoc. Comput. Linguistics, 2021

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers.

Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning.

Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson

Proceedings of the 9th International Conference on Learning Representations, 2021

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

End-to-End Bias Mitigation by Modelling Biases in Corpora.

Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Learning-Based Framework for Quantized Compressed Sensing.

Rabeeh Karimi Mahabadi, Junhong Lin, Volkan Cevher

IEEE Signal Process. Lett., 2019

Simple but effective techniques to reduce biases.

Rabeeh Karimi Mahabadi, James Henderson

CoRR, 2019

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

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

Real-Time DCT Learning-based Reconstruction of Neural Signals.

Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher

Proceedings of the 26th European Signal Processing Conference, 2018

2015

Segment based 3D object shape priors.

Rabeeh Karimi Mahabadi, Christian Hane, Marc Pollefeys

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Scalable Sparse Covariance Estimation via Self-Concordance.

Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014