Fields- 2017-2018 Machine Learning Advances and Applications Seminar

  1. Title:
    Individualizing Healthcare with Machine Learning

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  2. Title:
    Learning the learning rate: how to repair Bayes when the model is wrong

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  3. Title:
    Reinforcement Learning When Experience is Expensive

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  4. Title:
    Relaxed Gradient Estimators

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  5. Title:
    Building machines that learn and think like humans

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  6. Title:
    Learning the Statistics of Full Images

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  7. Title:
    Efficient Multi-Task Deep Reinforcement Learning

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  8. Title:
    Towards a better model for neural network reasoning

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  9. Title:
    Meta Learning and Self Play

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  10. Title:
    Exploring fundamental unknowns that prevent us from using our devices to navigate between disease and health

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  11. Title:
    Recommendation Systems

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  12. Title:
    DisTraL: Distill and Transfer for Deep Multitask Reinforcement Learning

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  13. Title:
    Artificial Intelligence for Data Analytics

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  14. Title:
    From Genetics to CRISPR Gene Editing with Machine Learning

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  15. Title:
    What is wrong with convolutional neural nets?

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