Microsoft Research Summit 2021
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Research talks: Learning for interpretability

Speakers:
Hanwang Zhang, Professor, Nanyang Technological University
Yuwang Wang, Senior Researcher, Microsoft Research Asia
Shujian Yu, Professor, UiT – The Arctic University of Norway

One of the critical shortcomings of big data-driven deep learning is its black-box nature. To help resolve this, it’s important to develop architectures and algorithms that can capture the fundamentals of how humans learn and infer. Join Professor Hanwang Zhang from Nanyang Technological University in Singapore, Microsoft Senior Researcher Yuwang Wang, and Professor Shujian Yu from the Arctic University of Norway as they share their work and insights on how to achieve interpretable learning by leveraging representation disentanglement and information theory. You’ll learn about these powerful concepts and discover how they help address interpretability and generalization in deep learning.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit

Track:
Towards Human-Like Visual Learning & Reasoning
Date:
Speakers:
Hanwang Zhang, Yuwang Wang, Shujian Yu
Affiliation:
Nanyang Technological University, Microsoft Research, UiT - The Arctic University of Norway