43 citations · 56 across the 5 of their papers we have counts for
10 papers
SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services
Yang Zhang, Vahid Noroozi, Evelina Bakhturina +1
Dialogue state tracking is an essential part of goal-oriented dialogue systems, while most of these state tracking models often fail to handle unseen services. In this paper, we pr…
SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar +10
In the English speech-to-text (STT) machine learning task, acoustic models are conventionally trained on uncased Latin characters, and any necessary orthography (such as capitaliza…
Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition
Somshubra Majumdar, Jagadeesh Balam, Oleksii Hrinchuk +3
We propose Citrinet - a new end-to-end convolutional Connectionist Temporal Classification (CTC) based automatic speech recognition (ASR) model. Citrinet is deep residual neural mo…
I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications
Nooshin Mojab, Vahid Noroozi, Abdullah Aleem +8
Data from clinical real-world settings is characterized by variability in quality, machine-type, setting, and source. One of the primary goals of medical computer vision is to deve…
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
Nooshin Mojab, Vahid Noroozi, Darvin Yi +4
With promising results of machine learning based models in computer vision, applications on medical imaging data have been increasing exponentially. However, generalizations to com…
Leveraging Semi-Supervised Learning for Fairness using Neural Networks
Vahid Noroozi, Sara Bahaadini, Samira Sheikhi +2
There has been a growing concern about the fairness of decision-making systems based on machine learning. The shortage of labeled data has been always a challenging problem facing…