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ApproximationGeneralization Tradeoffs under (Approximate) Group EquivarianceMircea PetracheShubhendu TrivediAbstract The explicit incorporation of taskspecific inductive biases through symmetry has
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What is inductive biases - a?
Inductive biases are assumptions made by a model that help it learn from the data to generalize beyond the training examples.
Who is required to file inductive biases - a?
Individuals or organizations involved in machine learning or data analysis that requires reporting of underlying assumptions must file inductive biases.
How to fill out inductive biases - a?
To fill out inductive biases, one must identify and document the assumptions made during the modeling process and ensure clarity in the reasoning behind those assumptions.
What is the purpose of inductive biases - a?
The purpose of inductive biases is to provide a framework for the learning process, allowing models to make predictions and generalizations from limited data.
What information must be reported on inductive biases - a?
The information reported should include the specific biases assumed, their justification, and the impact they have on model performance.
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