Neural Networks - Groups

Training Dataset

The training dataset is a collection of the publicly available Arabic corpora listed below: The unshufﬂed OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump...

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Test dataset

A dataset of 200 samples with 1283 resolution, generated using VGrain software with a regularity of 0.73 and uniform random orientation

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DeepSynth

DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.

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N-object dataset testing

An N-object dataset for testing the proposed framework

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Model Zoo

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

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Exploring the Limits of Large Scale Pre-training

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

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Broken Neural Scaling Laws

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

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NeRF

NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...

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SimpleQuestion dataset for Wikidata

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...