Topics

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zero-shot recognition (1)

Prototypical Random Walk Learning Mechanisms for Few-shot Learning, Novel Visual Generation, and (Continual)? Zero-shot Recognition

Mohamed Elhoseiny, Associate Professor, Computer Science

Jan 30, 12:00 - 13:00

B9 L2 H2 H2

prototypical random walks zero-shot recognition

In this talk, we will define prototypical random walks, a mechanism we introduced to improve visual classification with limited data (few-shot learning), and then developed the mechanism in a conceptually different way to facilitate novel image generation and unseen class recognition tasks. More specifically, in the few-shot learning setting, we will show how we can develop a random walk semi-supervised loss that enables the network to learn representations that are compact and well-separated.

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PCCFD - Predictive Complex Computational Fluid Dynamics

David Keyes, Professor, Applied Mathematics and Computational Science

May 22, 08:45 - May 24, 05:00

B9 L2 H1

CFD algorithms applied mathematics numerical analysis Computer science

The PCCFD workshop will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations.