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Jason Yosinski

Jason Yosinski is a researcher at Uber AI Labs, where he works on AI Neuroscience, examining neural network behavior to better understand network representations and training dynamics. He occasionally attempts to build better models in various domains. In his free time, Jason enjoys cooking, sailing, reading, improv, and sometimes pretending he’s an artist.

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

As powerful and widespread as convolutional neural networks are in deep learning, AI Labs’ latest research reveals both an underappreciated failing and a simple fix.

Measuring the Intrinsic Dimension of Objective Landscapes

Curious about what it is like to traverse the high-dimensional loss landscapes of modern neural networks? Check out Uber AI Labs’ latest research on measuring intrinsic dimension to find out.

Introducing the Uber AI Residency

Interested in accelerating your career by tackling some of Uber’s most challenging AI problems? Apply for the Uber AI Residency, a research fellowship dedicated to fostering the next generation of AI talent.