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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.
Publications (most recent)
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Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023.PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
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
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
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
2019