Novel weighting scheme for unsupervised language model adaptation using latent dirichlet allocation. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (INTERSPEECH, 2010)

Unsupervised language model adaptation using n-gram weighting. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (CCECE, 2011)

Unsupervised language model adaptation using latent Dirichlet allocation and dynamic marginals. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (EUSIPCO, 2011)

LDA-based LM adaptation using latent semantic marginals and minimum discriminant information. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (EUSIPCO, 2012)

Topic n-gram count language model adaptation for speech recognition. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (SLT, 2012)

PLSA enhanced with a long-distance bigram language model for speech recognition. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (EUSIPCO, 2013)

Comparison of a bigram PLSA and a novel context-based PLSA language model for speech recognition. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (ICASSP, 2013)

Fitting long-range information using interpolated distanced n-grams and cache models into a latent dirichlet language model for speech recognition. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (INTERSPEECH, 2013)

Interpolated Dirichlet Class Language Model for Speech Recognition Incorporating Long-distance N-grams. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (COLING, 2014)

Novel topic n-gram count LM incorporating document-based topic distributions and n-gram counts. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (EUSIPCO, 2014)

Document-based Dirichlet class language model for speech recognition using document-based n-gram events. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (SLT, 2014)

Document-specific context plsa language model for speech recognition. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (ICASSP, 2015)

Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals. - Md. Akmal Haidar; Douglas D. O'Shaughnessy (Comput. Speech Lang., 2015)

Recurrent Neural Network Language Model with Incremental Updated Context Information Generated Using Bag-of-Words Representation. - Md. Akmal Haidar; Mikko Kurimo (INTERSPEECH, 2016)

LDA-based context dependent recurrent neural network language model using document-based topic distribution of words. - Md. Akmal Haidar; Mikko Kurimo (ICASSP, 2017)

Reg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression. - Mehdi Rezagholizadeh; Md. Akmal Haidar (ICASSP, 2018)

SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation. - Jules Gagnon-Marchand; Hamed Sadeghi; Md. Akmal Haidar; Mehdi Rezagholizadeh (Canadian AI, 2019)

TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks. - Md. Akmal Haidar; Mehdi Rezagholizadeh (Canadian AI, 2019)

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. - Md. Akmal Haidar; Mehdi Rezagholizadeh; Alan Do-Omri; Ahmad Rashid (NAACL-HLT (1), 2019)

Bilingual-GAN: A Step Towards Parallel Text Generation. - Ahmad Rashid; Alan Do-Omri; Md. Akmal Haidar; Qun Liu 001; Mehdi Rezagholizadeh (CoRR, 2019)

TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks. - Md. Akmal Haidar; Mehdi Rezagholizadeh (CoRR, 2019)

Distilled embedding: non-linear embedding factorization using knowledge distillation. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (CoRR, 2019)

Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. - Alex Bie; Bharat Venkitesh; Joao Monteiro; Md. Akmal Haidar; Mehdi Rezagholizadeh (CoRR, 2019)

Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (EMNLP (Findings), 2020)

From Unsupervised Machine Translation to Adversarial Text Generation. - Ahmad Rashid; Alan Do-Omri; Md. Akmal Haidar; Qun Liu 001; Mehdi Rezagholizadeh (ICASSP, 2020)

Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. - Yimeng Wu; Mehdi Rezagholizadeh; Abbas Ghaddar; Md. Akmal Haidar; Ali Ghodsi 001 (EMNLP (1), 2021)

Fine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks. - Md. Akmal Haidar; Mehdi Rezagholizadeh (ICASSP, 2021)

Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation. - Md. Akmal Haidar; Chao Xing; Mehdi Rezagholizadeh (Interspeech, 2021)

CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation. - Md. Akmal Haidar; Mehdi Rezagholizadeh; Abbas Ghaddar; Khalil Bibi; Philippe Langlais; Pascal Poupart (COLING, 2022)

Conformer with dual-mode chunked attention for joint online and offline ASR. - Felix Weninger; Marco Gaudesi; Md. Akmal Haidar; Nicola Ferri; Jesús Andrés-Ferrer; Puming Zhan (INTERSPEECH, 2022)

RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. - Md. Akmal Haidar; Nithin Anchuri; Mehdi Rezagholizadeh; Abbas Ghaddar; Philippe Langlais; Pascal Poupart (NAACL-HLT (Findings), 2022)