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Md Akmal Haidar
Md Akmal Haidar
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Semi-supervised regression with generative adversarial networks
M Rezagholizadeh, MA Haidar, D Wu
US Patent 11,003,995, 2021
75*2021
Textkd-gan: Text generation using knowledge distillation and generative adversarial networks
MA Haidar, M Rezagholizadeh
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
662019
A simplified fully quantized transformer for end-to-end speech recognition
A Bie, B Venkitesh, J Monteiro, MA Haidar, M Rezagholizadeh
arXiv preprint arXiv:1911.03604, 2019
32*2019
Latent code and text-based generative adversarial networks for soft-text generation
MA Haidar, M Rezagholizadeh, A Do-Omri, A Rashid
arXiv preprint arXiv:1904.07293, 2019
32*2019
From unsupervised machine translation to adversarial text generation
A Rashid, A Do-Omri, MA Haidar, Q Liu, M Rezagholizadeh
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
31*2020
Self-training method and system for semi-supervised learning with generative adversarial networks
D Wu, MA Haidar, M Rezagholizadeh, A Do-Omri
US Patent 11,120,337, 2021
212021
Salsa-text: self attentive latent space based adversarial text generation
J Gagnon-Marchand, H Sadeghi, MA Haidar, M Rezagholizadeh
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
212019
Universal-KD: Attention-based output-grounded intermediate layer knowledge distillation
Y Wu, M Rezagholizadeh, A Ghaddar, MA Haidar, A Ghodsi
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
192021
Topic n-gram count language model adaptation for speech recognition
MA Haidar, D O'Shaughnessy
Spoken Language Technology Workshop (SLT), 2012 IEEE, 165-169, 2012
172012
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
MA Haidar, N Anchuri, M Rezagholizadeh, A Ghaddar, P Langlais, ...
Findings of the Association for Computational Linguistics: NAACL 2022, 2021
162021
Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals
MA Haidar, D O'Shaughnessy
Computer Speech and Language, 2015
162015
Unsupervised language model adaptation using n-gram weighting
MA Haidar, D O'Shaughnessy
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference …, 2011
142011
Improving word embedding factorization for compression using distilled nonlinear neural decomposition
V Lioutas, A Rashid, K Kumar, MA Haidar, M Rezagholizadeh
arXiv preprint arXiv:1910.06720, 2019
13*2019
Bilingual-gan: A step towards parallel text generation
A Rashid, A Do-Omri, MA Haidar, Q Liu, M Rezagholizadeh
arXiv preprint arXiv:1904.04742, 2019
122019
Novel Weighting Scheme for Unsupervised Language Model Adaptation Using Latent Dirichlet Allocation
MA Haidar, D O'Shaughnessy
Eleventh Annual Conference of the International Speech Communication …, 2010
112010
Conformer with dual-mode chunked attention for joint online and offline asr
F Weninger, M Gaudesi, MA Haidar, N Ferri, J Andrés-Ferrer, P Zhan
arXiv preprint arXiv:2206.11157, 2022
102022
Fine-tuning of pre-trained end-to-end speech recognition with generative adversarial networks
MA Haidar, M Rezagholizadeh
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
82021
LDA-BASED LM ADAPTATION USING LATENT SEMANTIC MARGINALS AND MINIMUM DISCRIMINANT INFORMATION
MA Haidar, D O’Shaughnessy
EUSIPCO 2012, 2012
82012
LDA-BASED CONTEXT DEPENDENT RECURRENT NEURAL NETWORK LANGUAGE MODEL USING DOCUMENT-BASED TOPIC DISTRIBUTION OF WORDS
MA Haidar, M Kurimo
ICASSP, 2017
72017
COMPARISON OF A BIGRAM PLSA AND A NOVEL CONTEXT-BASED PLSA LANGUAGE MODEL FOR SPEECH RECOGNITION
MA Haidar, D O’Shaughnessy
ICASSP 2013, 2013
62013
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