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Applied Sciences

Oscar Chang

Research Intern (2020)

Oscar Chang
Oscar Chang

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Oscar Chang is a 2020 research intern in the Applied Sciences Group (ASG) at Microsoft.  His general research interests revolve around deep learning and its applications.  Oscar has done extensive work on meta-learning algorithms applied to deep neural networks.  He developed principled weight initialization formulas for hypernetworks, which are meta neural networks that generate other neural networks in an end-to-end differentiable fashion.  He has also proposed gradient-based meta-learning algorithms that mitigates inner loop over-fitting and speeds up the convergence of the outer loop.  His current area of research interest is centered around deep learning models targeting speech and audio specific applications.

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