Tech Insights

GANs

Last updated May 16, 2025, generated by Sumble

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What is GANs?

Generative Adversarial Networks (GANs) are a class of machine learning frameworks where two neural networks contest with each other in a zero-sum game. One network, the generator, creates new data instances, while the other, the discriminator, evaluates them for authenticity. GANs are commonly used for image generation, image-to-image translation, and data augmentation.

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What other technologies are related to GANs?

GANs Competitor Technologies

Variational Autoencoders are generative models that, like GANs, can be used to generate new data instances. They offer a different approach to generative modeling.

mentioned alongside GANs in 93% (1.6k) of relevant job posts

diffusion models

Diffusion models are a class of generative models that have become competitive with GANs for image generation, often producing high-quality results.

mentioned alongside GANs in 34% (712) of relevant job posts

autoregressive models

Autoregressive models offer an alternative approach to generative modeling, directly modeling the probability distribution of the data.

mentioned alongside GANs in 66% (107) of relevant job posts

GPT is a transformer-based language model that can generate text, providing an alternative generative approach to GANs for text-related tasks.

mentioned alongside GANs in 6% (685) of relevant job posts

NeRFs (Neural Radiance Fields) offer an alternative to GANs for generating novel views of complex 3D scenes.

mentioned alongside GANs in 38% (78) of relevant job posts

Normalizing Flows are generative models that offer a different approach to generative modeling than GANs.

mentioned alongside GANs in 22% (62) of relevant job posts

Stable Diffusion

Stable Diffusion is a diffusion model used for generating images, similar to GANs, making it a competitor.

mentioned alongside GANs in 6% (175) of relevant job posts

LLMs are a type of model used to generate text, code, and more, and have become competitors with GANs for certain generative tasks.

mentioned alongside GANs in 1% (793) of relevant job posts

GANs Complementary Technologies

Convolutional Neural Networks are often used as discriminators in GANs for image generation tasks.

mentioned alongside GANs in 25% (686) of relevant job posts

Recurrent Neural Networks can be used in GANs for sequence generation tasks.

mentioned alongside GANs in 27% (444) of relevant job posts

Transformers can be used in GANs, especially for sequence-related tasks. They can also be used to build generative models as an alternative to GANs.

mentioned alongside GANs in 5% (1.1k) of relevant job posts

Which job functions mention GANs?

Job function

Jobs mentioning GANs

Orgs mentioning GANs

Data, Analytics & Machine Learning

0% (2.2k) job posts

14 organizations

Data Scientist

0% (879) job posts

300 organizations

AI Engineer

1% (783) job posts

368 organizations

Machine Learning

0% (525) job posts

231 organizations

Applied Scientist

1% (167) job posts

14 organizations

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Which organizations are mentioning GANs?

Organization

Industry

Matching Teams

Matching People

Retail Trade

Finance and Insurance

Professional Services

Information

Scientific and Technical Services

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