1 code implementation • NAACL (maiworkshop) 2021 • Ken Gu, Akshay Budhkar
Recent progress in natural language processing has led to Transformer architectures becoming the predominant model used for natural language tasks.
no code implementations • EMNLP (sustainlp) 2021 • Zilun Peng, Akshay Budhkar, Ilana Tuil, Jason Levy, Parinaz Sobhani, Raphael Cohen, Jumana Nassour
Using a teacher-student approach, we distilled the knowledge from the original wav2vec 2. 0 model into a student model, which is 2 times faster and 4. 8 times smaller than the original model.
1 code implementation • WS 2019 • Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
Generative adversarial networks (GANs) have shown considerable success, especially in the realistic generation of images.
no code implementations • NAACL 2019 • Akshay Budhkar, Frank Rudzicz
This paper presents three hybrid models that directly combine latent Dirichlet allocation and word embedding for distinguishing between speakers with and without Alzheimer's disease from transcripts of picture descriptions.