Internship project topic:
Sparse Covariance Selection and Phase-retrieval.
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)
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models2022-01-01. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL), Dublin, IRELAND, May 22-27, 2022. p. 3638-3652.
Learning Entailment-Based Sentence Embeddings from Natural Language Inference