Transferring Inductive Biases through Knowledge Distillation

31 May 2020Samira AbnarMostafa DehghaniWillem Zuidema

Having the right inductive biases can be crucial in many tasks or scenarios where data or computing resources are a limiting factor, or where training data is not perfectly representative of the conditions at test time. However, defining, designing and efficiently adapting inductive biases is not necessarily straightforward... (read more)

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