Dr. Richard Zemel

Professor

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Biography

Richard Zemel is a Professor in the Department of Computer Science at the University of Toronto and a Co-Founder of the Vector Institute for Artificial Intelligence. He holds the Industrial Research Chair in Machine Learning. His research is primarily focused on developing innovative methodologies in the fields of machine learning and artificial intelligence. His extensive publication record includes contributions to major conferences and journals, examining various topics such as few-shot learning, fairness in machine learning, neural networks, and generative models. He has collaborated with numerous researchers on significant projects that explore context-aware learning, adversarial robustness, and representation learning. Zemel is recognized for his leadership in promoting research and education in artificial intelligence, and he has been actively involved in interdisciplinary research efforts to address ethical implications in AI applications. His work has positioned him as a noteworthy figure in the advancement of machine learning technologies, contributing to a better understanding of their capabilities and limitations and striving for the equitable integration of these advancements in society.

Research Interests

Experience

Industrial Research Chair

2017-01-01 — Present

University of Toronto • Toronto, ON, Canada

Leading research initiatives in Machine Learning at the University of Toronto.

Requirements for University of Toronto

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:93
Prerequisites
Appropriate four-year bachelor's degree Background in sociological theory and statistics preferred
Application Checklist
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  • Curriculum Vitae
Specialization Notes

Department of Sociology