Chelsea Finn

2 quotes

Researcher · Female

I am a PhD student in CS at UC Berkeley, where I work on machine learning for robotic perception and control. I am a part of Berkeley AI Research Lab (BAIR), advised by Pieter Abbeel and Sergey Levine. I recently spent time at Google Brain. Before graduate school, I received a Bachelors in EECS at MIT, where I worked on several research projects, including an assistive technology project in CSAIL under Seth Teller and an animal biometrics project under Sai Ravela. I have also spent time at Counsyl, Google, and Sandia National Labs.

All Machine Learning (1)Dumb But Right Enough (1)Artificial intelligence (1)Tranning Models (1)Learning Complexity (1)

From “Learning to Learn”

“Despite the simplicity of the approach, we were surprised to find that the method was able to substantially outperform a number of existing approaches on popular few-shot image classification benchmarks, Omniglot and MiniImageNet2, including existing approaches that were much more complex or domain…”

Tagged: Dumb But Right Enough, Machine Learning, Tranning Models

“A key aspect of intelligence is versatility – the capability of doing many different things. Current AI systems excel at mastering a single skill, such as Go, Jeopardy, or even helicopter aerobatics. But, when you instead ask an AI system to do a variety of seemingly simple problems, it will…”

Tagged: Artificial intelligence, Learning Complexity

Chelsea Finn

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