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Rabeeh Karimi Mahabadi
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2020 – today
- 2024
- [c9]Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan:
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) 2024: 2347-2361 - 2023
- [i9]Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
:
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR abs/2305.08379 (2023) - 2022
- [c8]Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson
Prompt-free and Efficient Few-shot Learning with Language Models. ACL (1) 2022: 3638-3652 - [i8]Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani:
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models. CoRR abs/2204.01172 (2022) - 2021
- [j4]Daniel Khashabi, Arman Cohan
ParsiNLU: A Suite of Language Understanding Challenges for Persian. Trans. Assoc. Comput. Linguistics 9: 1147-1162 (2021) - [c7]Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson:
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. ACL/IJCNLP (1) 2021: 565-576 - [c6]Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. ICLR 2021 - [c5]Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder:
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers. NeurIPS 2021: 1022-1035 - [i7]Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, James Henderson:
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks. CoRR abs/2106.04489 (2021) - [i6]Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder:
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers. CoRR abs/2106.04647 (2021) - [i5]Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson:
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. CoRR abs/2106.05469 (2021) - 2020
- [c4]Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
End-to-End Bias Mitigation by Modelling Biases in Corpora. ACL 2020: 8706-8716 - [i4]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:
ParsiNLU: A Suite of Language Understanding Challenges for Persian. CoRR abs/2012.06154 (2020)
2010 – 2019
- 2019
- [j3]Rabeeh Karimi Mahabadi
A Learning-Based Framework for Quantized Compressed Sensing. IEEE Signal Process. Lett. 26(6): 883-887 (2019) - [i3]Rabeeh Karimi Mahabadi, James Henderson:
Simple but effective techniques to reduce biases. CoRR abs/1909.06321 (2019) - 2018
- [j2]Baran Gozcu
Learning-Based Compressive MRI. IEEE Trans. Medical Imaging 37(6): 1394-1406 (2018) - [j1]Ya-Ping Hsieh
A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. 66(22): 5917-5926 (2018) - [c3]Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher
Real-Time DCT Learning-based Reconstruction of Neural Signals. EUSIPCO 2018: 1925-1929 - [i2]Baran Gözcü, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Çukur, Jonathan Scarlett, Volkan Cevher:
Learning-Based Compressive MRI. CoRR abs/1805.01266 (2018) - 2015
- [c2]Rabeeh Karimi Mahabadi, Christian Hane, Marc Pollefeys
Segment based 3D object shape priors. CVPR 2015: 2838-2846 - 2014
- [c1]Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
Scalable Sparse Covariance Estimation via Self-Concordance. AAAI 2014: 1946-1952 - [i1]Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher:
Scalable sparse covariance estimation via self-concordance. CoRR abs/1405.3263 (2014)
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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