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Before creating new repository, please read this friendly manual
Intelligent Systems course on Deep Learning
Jupyter Notebook 31
Implementation of Implicit Reparameterization Trick
[BMM 24-25] HippoTrainer: Gradient-Based Hyperparameter Optimization
Jupyter Notebook 12
[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.
Removing groups of weights from a neural network based on the deep learning computation graph analyzing and estimation of information flow transferred through it.
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