6 datasets found

The dataset used in this paper is a collection of training data and target functions for two-layer neural networks. The dataset is used to test the performance of the Linear...

Interaction Networks: Using a Reinforcement Learner to train other Machine Learning algorithms

The dataset used in this paper is not explicitly described, but it is mentioned that it contains four DAGs representing well-known exposure-outcome relationships in the medical...

The dataset used in the paper is a population of trained NN models, from the model zoo dataset (Sch¨urholt et al., 2022c).

A dataset for exploring the limits of large-scale pre-training.

A smoothly broken power law functional form that accurately models and extrapolates the scaling behaviors of deep neural networks for various architectures and tasks.