Author Interview - VOS- Learning What You Don't Know by Virtual Outlier Synthesis

Author Interview - VOS- Learning What You Don't Know by Virtual Outlier Synthesis

Yannic Kilcher via YouTube Direct link

- Why object detection?

3 of 11

3 of 11

- Why object detection?

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Author Interview - VOS- Learning What You Don't Know by Virtual Outlier Synthesis

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  1. 1 - Intro
  2. 2 - What was the motivation behind this paper?
  3. 3 - Why object detection?
  4. 4 - What's the connection to energy-based models?
  5. 5 - Is a Gaussian mixture model appropriate for high-dimensional data?
  6. 6 - What are the most important components of the method?
  7. 7 - What are the downstream effects of the regularizer?
  8. 8 - Are there severe trade-offs to outlier detection?
  9. 9 - Main experimental takeaways?
  10. 10 - Why do outlier detection in the last layer?
  11. 11 - What does it take to finish a research projects successfully?

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