18 citations · 44 across the 10 of their papers we have counts for
5 papers · 1 filter
A Simplified Fully Quantized Transformer for End-to-end Speech Recognition
Alex Bie, Bharat Venkitesh, Joao Monteiro +2
While significant improvements have been made in recent years in terms of end-to-end automatic speech recognition (ASR) performance, such improvements were obtained through the use…
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar +2
Word-embeddings are vital components of Natural Language Processing (NLP) models and have been extensively explored. However, they consume a lot of memory which poses a challenge f…
Bilingual-GAN: A Step Towards Parallel Text Generation
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar +2
Latent space based GAN methods and attention based sequence to sequence models have achieved impressive results in text generation and unsupervised machine translation respectively…
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks
Md. Akmal Haidar, Mehdi Rezagholizadeh
Text generation is of particular interest in many NLP applications such as machine translation, language modeling, and text summarization. Generative adversarial networks (GANs) ac…
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri +1
Text generation with generative adversarial networks (GANs) can be divided into the text-based and code-based categories according to the type of signals used for discrimination. I…