Abdelrahman Mohamed

Facebook AI Research

亚马逊

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My research interests span Deep Learning, Spoken Language Processing, and Natural Language Understanding.

Papers60 papers

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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Lewis Mike, Liu Yinhan,Goyal Naman,Ghazvininejad Marjan,Mohamed Abdelrahman,Levy Omer,Stoyanov Ves,Zettlemoyer Luke

ACL, pp.7871-7880, (2020)

Cited by193EIBibtex

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Alexei Baevski,Henry Zhou,Abdelrahman Mohamed,Michael Auli

NeurIPS, (2020)

Cited by19EIBibtex

Large scale weakly and semi-supervised learning for low-resource video ASR

Singh Kritika, Manohar Vimal, Xiao Alex, Edunov Sergey,Girshick Ross, Liptchinsky Vitaliy, Fuegen Christian, Saraf Yatharth,Zweig Geoffrey,Mohamed Abdelrahman

INTERSPEECH, pp.3770-3774, (2020)

EIBibtex

Unsupervised Cross-lingual Representation Learning for Speech Recognition

Alexis Conneau,Alexei Baevski,Ronan Collobert,Abdelrahman Mohamed,Michael Auli

Bibtex

Libri-Light: A Benchmark for ASR with Limited or No Supervision

Kahn Jacob, Rivière Morgane, Zheng Weiyi, Kharitonov Evgeny,Xu Qiantong, Mazaré Pierre-Emmanuel, Karadayi Julien, Liptchinsky Vitaliy,Collobert Ronan, Fuegen Christian, Likhomanenko Tatiana, Synnaeve Gabriel

ICASSP, pp.7669-7673, (2019)

Cited by9EIBibtex

Effectiveness of self-supervised pre-training for speech recognition

Baevski Alexei,Auli Michael,Mohamed Abdelrahman

Cited by8Bibtex

Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models

Dalmia Siddharth,Mohamed Abdelrahman,Lewis Mike, Metze Florian, Zettlemoyer Luke

Bibtex

Transformer-based Acoustic Modeling for Hybrid Speech Recognition

Wang Yongqiang,Mohamed Abdelrahman, Le Duc, Liu Chunxi, Xiao Alex, Mahadeokar Jay, Huang Hongzhao, Tjandra Andros, Zhang Xiaohui, Zhang Frank, Fuegen Christian,Zweig Geoffrey

ICASSP, pp.6874-6878, (2019)

Cited by36EIBibtex

Transformers with convolutional context for ASR

Abdelrahman Mohamed, Dmytro Okhonko,Luke Zettlemoyer

arXiv: Computation and Language, (2019)

Cited by42EIBibtex

Training ASR models by Generation of Contextual Information

Singh Kritika, Okhonko Dmytro,Liu Jun, Wang Yongqiang, Zhang Frank,Girshick Ross, Edunov Sergey, Peng Fuchun, Saraf Yatharth,Zweig Geoffrey,Mohamed Abdelrahman

ICASSP, pp.7864-7868, (2019)

Cited by2EIBibtex

Direct optimization of F-measure for retrieval-based personal question answering