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Published byFrieder Hofer Modified over 5 years ago
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Ryan Layer ryan.layer@colorado.edu layerlab.org @ryanlayer
CU Boulder CS Ryan Layer layerlab.org @ryanlayer
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Research Groups Robotics Learning / Human Computer Interfaces
Autonomous Robotics & Perception Group (RPG) Human Interaction and RObotics Group (HIRO) Learning / Human Computer Interfaces Center for Computational Language and Education Research (CLEAR) Computational Modeling of Human and Machine Learning Emotive Computing Lab investigate interplay between thoughts/feelings in complex real-world tasks. develop intelligent technologies that help accomplish tasks by coordinating thoughts/feelings with what they know/do
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Chenhao Tan Dan Larremore
Enhance human performance with AI, with a focus on language applications. Physician notes How to improve the practice of writing notes, making it more useful and easier to write for doctors. Dan Larremore ML/NLP to automatically digest research-relevant information from people’s CV’s. bootstrap training data with a human in the loop first 25 examples, annotate by hand next 25, correct all the mistakes that the algorithm made next 100, check all the answers, and correct a little as needed Unsupervised techniques for community detection
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Danielle Albers Szafir
Learn from user’s interactions with a dataset to support collaborative analysis between people and machines people classify, interact with, and refine motion trajectories extracted from image data by visualizing both the raw data and features used to make a classification. Measure how people trust ML from its input/output Ryan Layer Pair rapid manual curation with learning to scale to population scale data sets Structural variants in humans (medical decisions), fish, plants (low- quality reference)
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Ryan Layer ryan.layer@colorado.edu layerlab.org @ryanlayer
Questions? Ryan Layer layerlab.org @ryanlayer
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