Rabeeh Karimi Mahabadi

picture

Internship project topic:

Sparse Covariance Selection and Phase-retrieval.

Biography

Rabeeh Karimi Mahabadi received her B.Sc. degree in Electrical Engineering (Communications) from Amirkabir University of Technology, Iran in 2012. During her undergraduate, her research was focused on machine learning, computer vision and Bayesian learning. She was an intern at LIONS, Ecole Polytechnique Federale de Lausanne in summer 2013. She is currently pursuing a Master in Computer Science at ETH, Zurch, Switzerland. Her research interests include Convex and non-convex optimization, Compressive sensing, and Statistical machine learning.

Links

PUBLICATIONS

Improving Generalization of Pretrained Language Models

R. Karimi Mahabadi / V. Cevher; J. Henderson (Dir.)  

Lausanne, EPFL, 2023. 

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

R. K. Mahabadi; L. Zettlemoyer; J. Henderson; M. Saeidi; L. Mathias et al. 

2022-01-01. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL), Dublin, IRELAND, May 22-27, 2022. p. 3638-3652.

PARSINLU: A Suite of Language Understanding Challenges for Persian

D. Khashabi; A. Cohan; S. Shakeri; P. Hosseini; P. Pezeshkpour et al. 

Transactions Of The Association For Computational Linguistics. 2021-01-01. Vol. 9, p. 1147-1162. DOI : 10.1162/tacl_a_00419.

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

R. Karimi Mahabadi; Y. Belinkov; J. Henderson 

2020. 58th Annual Meeting of the Association for Computational Linguistics, July 2020. p. 8706–8716. DOI : 10.18653/v1/2020.acl-main.769.

Learning Entailment-Based Sentence Embeddings from Natural Language Inference

R. Karimi Mahabadi; F. Mai; J. Henderson 

2019

Simple but effective techniques to reduce dataset biases

R. Karimi Mahabadi; y. belinkov; J. Henderson 

2019

A Learning-Based Framework for Quantized Compressed Sensing

R. Karimi Mahabadi; J. Lin; V. Cevher 

IEEE Signal Processing Letters. 2019. Vol. 26, num. 6, p. 883-887. DOI : 10.1109/LSP.2019.2898350.

Real-time DCT Learning-based Reconstruction of Neural Signals

R. Karimi Mahabadi; C. Aprile; V. Cevher 

2018. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September 3-7. 2018. DOI : 10.23919/EUSIPCO.2018.8553402.

Learning-Based Compressive MRI

B. Gözcü; R. Karimi Mahabadi; Y-H. Li; E. Ilıcak; T. Çukur et al. 

IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394-1406. DOI : 10.1109/TMI.2018.2832540.

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Y-P. Hsieh; Y-C. Kao; R. Karimi Mahabadi; Y. Alp; A. Kyrillidis et al. 

IEEE Transactions on Signal Processing. 2018. Vol. 66, num. 22, p. 5917-5926. DOI : 10.1109/TSP.2018.2870353.

Scalable sparse covariance estimation via self-concordance

A. Kyrillidis; R. Karimi Mahabadi; Q. Tran Dinh; V. Cevher 

2014. Twenty-Eighth AAAI Conference on Artificial Intelligence, Quebec, Canada, July 27-31, 2014. DOI : 10.1609/aaai.v28i1.8960.