• [2003.12843] A Close Look at Deep Learning with Small Data🔍
• A Close Look at Deep Learning with Small Data🔍
• [R] A Close Look at Deep Learning with Small Data🔍
• Ten deep learning techniques to address small data problems with ...🔍
• [D]Deep learning with little data 🔍
• Deep Learning🔍
• Small Data Image Classification🔍
• Deep learning has a small data problem🔍

[2003.12843] A Close Look at Deep Learning with Small Data - arXiv

In this work, we perform a wide variety of experiments with different deep learning architectures on datasets of limited size.

A Close Look at Deep Learning with Small Data - IEEE Xplore

For instance, in problems with scarce training samples and without data augmentation, low-complexity convolutional neural networks perform comparably well or ...

A Close Look at Deep Learning with Small Data

In this work, we perform a wide variety of experiments with different deep learning architectures on datasets of limited size. According to our study, ...

A Close Look at Deep Learning with Small Data - Semantic Scholar

It is shown that model complexity is a critical factor when only a few samples per class are available and that dropout, a widely used regularization ...

A Close Look at Deep Learning with Small Data

Algorithmic approaches on image datasets: 1. Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. [Arora et al. 2020].

[R] A Close Look at Deep Learning with Small Data - Reddit

Surprisingly, experiments show that the dynamic data augmentation pipeline is not beneficial in this particular domain. Statically augmenting ...

A Close Look at Deep Learning with Small Data - ResearchGate

For instance, in problems with scarce training samples and without data augmentation, low-complexity convolutional neural networks perform ...

A Close Look at Deep Learning with Small Data

2. Self-supervised learning (unlabeled dataset). Focus on problems where is balanced and relatively small (constraining number of samples ...

A Close Look at Deep Learning with Small Data - ResearchGate

A Close Look at Deep Learning with Small Data ... In this work, we perform a wide variety of experiments with different deep learning ...

Ten deep learning techniques to address small data problems with ...

Iocchi A Close Look at Deep Learning with Small Data 2020 https://doi.org ... Research on the deep learning of the small sample data based on transfer learning.

[D]Deep learning with little data : r/MachineLearning - Reddit

I need to build a deep learning model in tensorflow with human genome data to classify cancer. My data is too limited. (at most 1000 sample)

Deep Learning | Learning with Small Data - YouTube

Task Adaptation, Meta Learning, MNIST, Image Classification, GPT-3, OpenAI, Attention is all you need Support the channel by joining the ...

Small Data Image Classification | Papers With Code

A Close Look at Deep Learning with Small Data. no code yet • 28 Mar 2020. In this work, we perform a wide variety of experiments with different deep learning ...

Deep learning has a small data problem - causaLens

70% of organizations are shifting their focus from big to small data, now or in the near future. Gartner. Low velocity data is updated infrequently. For ...

[2407.00956] A Closer Look at Deep Learning on Tabular Data - arXiv

These ``tiny tabular benchmarks'' will facilitate further studies on tabular data. Subjects: Machine Learning (cs.LG). Cite as: arXiv ...

How To Use Deep Learning Even with Small Data | by Tyler Folkman

Let's take a look at how you might be able to leverage deep learning even with limited data and why I think this might be one of the most exciting areas of ...

Deep Learning for Image Classification on Very Small Datasets ...

It turns out it barely has any overfitting. As proved from experiments, very deep models can be used to fit a very small dataset as long as the good model is ...

How small is the 'small training set'? - DeepLearning.AI

Wondering with what size of data I can not bother doing deep learning and traditional learning algorithms will be equally good? gent.spah ...

Why do deep learning models not perform well on a low amount of ...

If these two conditions are met, the same small dataset can be used to train a neural network again and again (epochs) to finally achieve good ...

Learning from Small Data - Good Audience

These are the different ways of addressing a small dataset challenge. Conclusion. Learning from small is one of the active research are in the field of deep ...