Md. Akmal Haidar

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 25

Top Topics

Speech Recognition

Top Venues

Publications

Felix Weninger, Marco Gaudesi, Md. Akmal Haidar, Nicola Ferri, Jesús Andrés-Ferrer, Puming Zhan
Conformer with dual-mode chunked attention for joint online and offline ASR. INTERSPEECH (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Abbas Ghaddar, Khalil Bibi, Philippe Langlais, Pascal Poupart
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation. CoRR (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Abbas Ghaddar, Khalil Bibi, Philippe Langlais, Pascal Poupart
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation. COLING (2022)
Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. NAACL-HLT (Findings) (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh
Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks. CoRR (2021)
Md. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation. Interspeech (2021)
Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. CoRR (2021)
Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. EMNLP (1) (2021)
Md. Akmal Haidar, Mehdi Rezagholizadeh
Fine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks. ICASSP (2021)
Md. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation. CoRR (2021)
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
From Unsupervised Machine Translation to Adversarial Text Generation. ICASSP (2020)
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. EMNLP (Findings) (2020)
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
From Unsupervised Machine Translation To Adversarial Text Generation. CoRR (2020)
Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation. Canadian Conference on AI (2019)
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
Bilingual-GAN: A Step Towards Parallel Text Generation. CoRR (2019)
Md. Akmal Haidar, Mehdi Rezagholizadeh
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks. CoRR (2019)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. NAACL-HLT (1) (2019)
Alex Bie, Bharat Venkitesh, Joao Monteiro, Md. Akmal Haidar, Mehdi Rezagholizadeh
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. CoRR (2019)
Md. Akmal Haidar, Mehdi Rezagholizadeh
TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks. Canadian Conference on AI (2019)
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
Distilled embedding: non-linear embedding factorization using knowledge distillation. CoRR (2019)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. CoRR (2019)
Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh
SALSA-TEXT : self attentive latent space based adversarial text generation. CoRR (2018)
Mehdi Rezagholizadeh, Md. Akmal Haidar
Reg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression. ICASSP (2018)
Md. Akmal Haidar, Mikko Kurimo
LDA-based context dependent recurrent neural network language model using document-based topic distribution of words. ICASSP (2017)
Md. Akmal Haidar, Mikko Kurimo
Recurrent Neural Network Language Model with Incremental Updated Context Information Generated Using Bag-of-Words Representation. INTERSPEECH (2016)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Document-specific context plsa language model for speech recognition. ICASSP (2015)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Unsupervised language model adaptation using LDA-based mixture models and latent semantic marginals. Comput. Speech Lang. 29 (1) (2015)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Novel topic n-gram count LM incorporating document-based topic distributions and n-gram counts. EUSIPCO (2014)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Document-based Dirichlet class language model for speech recognition using document-based n-gram events. SLT (2014)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Interpolated Dirichlet Class Language Model for Speech Recognition Incorporating Long-distance N-grams. COLING (2014)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Fitting long-range information using interpolated distanced n-grams and cache models into a latent dirichlet language model for speech recognition. INTERSPEECH (2013)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
PLSA enhanced with a long-distance bigram language model for speech recognition. EUSIPCO (2013)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Comparison of a bigram PLSA and a novel context-based PLSA language model for speech recognition. ICASSP (2013)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
LDA-based LM adaptation using latent semantic marginals and minimum discriminant information. EUSIPCO (2012)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Topic n-gram count language model adaptation for speech recognition. SLT (2012)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Unsupervised language model adaptation using n-gram weighting. CCECE (2011)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Unsupervised language model adaptation using latent Dirichlet allocation and dynamic marginals. EUSIPCO (2011)
Md. Akmal Haidar, Douglas D. O'Shaughnessy
Novel weighting scheme for unsupervised language model adaptation using latent dirichlet allocation. INTERSPEECH (2010)