Abdelrahman Mohamed
Seattle, United States
Abdelrahman Mohamed is a research scientist at Facebook AI Research (FAIR). His research focuses on speech processing and representation learning, where he published extensively with more than 30,000 citations. Before joining FAIR, Abdelrahman worked at Amazon Alexa and Microsoft Research. He received my Ph.D. from the CS department at the University of Toronto, working with Geoffrey Hinton and Gerald Penn as part of the team that started the Deep Learning revolution in Spoken Language Processing in 2009.
Research Areas
Abdelrahman's Work
Abdelrahman's Publications
August 30, 2021
Research
NLP
SUPERB: Speech processing Universal PERformance Benchmark
Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Jeff Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Guan-Ting Lin, Tzu-Hsien Huang, Wei-Cheng Tseng, Ko-tik Lee, Da-Rong Liu, Zili Huang, Shuyan Dong, Shang-Wen, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee
August 30, 2021
December 06, 2020
Research
NLP
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli
December 06, 2020
July 08, 2020
Research
NLP
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, Luke Zettlemoyer
July 08, 2020
May 04, 2020
Speech & Audio
NLP
Libri-light: A benchmark for ASR with limited or no supervision
Jacob Kahn, Morgan Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky,Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
May 04, 2020
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