Understanding Subclass Distillation
Welcome to our comprehensive guide on Subclass Distillation. This video explains the new
Key Takeaways about Subclass Distillation
- We all know that ensembles outperform individual models. However, the increase in number of models does mean inference ...
- Hossein Mobahi, Google Research In supervised learning we often seek a model which minimizes (to epsilon optimality) a loss ...
- More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy ...
- Delve deep into knowledge
- The optimal training recipe for knowledge
Detailed Analysis of Subclass Distillation
https://arxiv.org/pdf/2002.03936.pdf Rafael Muller, Simon Kornblith, Geoffrey Hinton After a large "teacher" neural network has ... In this video, we break down knowledge In this video, we take a look at Knowledge
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In summary, understanding Subclass Distillation gives us a better perspective.
