Removing groups of weights from a neural network based on the deep learning computation graph analyzing and estimation of information flow transferred through it.
[TODO] By inductive bias, we mean the set of assumptions that a model uses to make predictions on unseen data. Not all model architectures possess the necessary biases. We consider a set of models with inductive biases induced by different training datasets. We propose a method to transfer these biases to a model that lacks them.
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Uh oh!
There was an error while loading. Please reload this page.
Most used topics
Loading…
Uh oh!
There was an error while loading. Please reload this page.
You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.