Grants and Contributions:

Title:

Methods and Algorithms for Unsupervised Domain Adaptation

Agreement Number:

972620

Agreement Value:

$24,500.00

Agreement Date:

Aug 21, 2023 - Sep 30, 2022

Description:

Even in the era of big data, many domains may still suffer from lack of high quality labeled data for machine learning. Thus, zero-shot transfer learning is particularly important, which explores methodologies to transfer models learned from a supervision-rich domain to a domain with no properly labeled training data. In this project, we will focus on zero-shot transfer learning for sophisticated models and from a supervision-rich domain to a domain whose relationship is even unknown. We will tackle several data science challenges and develop principled methods. Particularly, we will investigate cross-domain data augmentation methods, which help to generate training or testing data for an unknown domain, or transfer data from a supervision-rich domain to an unknown domain. The techniques developed in this project may be used in many important problems, such as multi-lingual natural language processing (NLP) tasks and multi-modal learning.

Organization:

National Research Council Canada

Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators.

Location:

Burnaby, British Columbia, CA V5A 1S6

Reference Number:

172-2021-2022-Q2-972620

Agreement Type:

Grant

Report Type:

Grants and Contributions

Recipient Business Number:

1057810

Recipient Type:

Academia

Recipient's Legal Name:

Simon Fraser University

Federal Riding Name:

Burnaby North–Seymour

Federal Riding Number:

59002

Program:

Collaborative Science, Technology and Innovation Program – Ideation Fund

Program Purpose:

The Ideation Fund is intended to encourage, test and validate transformative research ideas generated by teams of NRC scientific personnel and external collaborators with complementary capabilities, acting as a demonstration phase for a continually-evolving suite of research and development (R&D) deliverables at the NRC. The fund supports exploratory research through two mechanisms: the New Beginnings Initiative and the Small Teams Initiative.

NAICS Code:

541710