Sara Hooker (Google Brain)
I lead Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Prior to Cohere, I was a research scientist Google Brain doing work on training models that go beyond test-set accuracy to fulfill multiple desired criteria -- interpretable, compact, fair and robust. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. My research interests include algorithm transparency, security and privacy.
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2022 : Panel »
Kristian Lum · Rachel Cummings · Jake Goldenfein · Sara Hooker · Joshua Loftus
2019 Poster: A Benchmark for Interpretability Methods in Deep Neural Networks »
Sara Hooker · Dumitru Erhan · Pieter-Jan Kindermans · Been Kim