Methods › General › Self-Supervised Learning › BiGAN
Bidirectional GAN
BiGAN
Introduced by Jeff Donahue et al. in Adversarial Feature Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A BiGAN, or Bidirectional GAN, is a type of generative adversarial network where the generator not only maps latent samples to generated data, but also has an inverse mapping from data to the latent representation. The motivation is to make a type of GAN that can learn rich representations for us in applications like unsupervised learning.
In addition to the generator G from the standard GAN framework, BiGAN includes an encoder E which maps data 𝐱 to latent representations 𝐳. The BiGAN discriminator D discriminates not only in data space (𝐱 versus G(𝐳)), but jointly in data and latent space (tuples (𝐱, E(𝐱)) versus (G(z), z)), where the latent component is either an encoder output E(𝐱) or a generator input 𝐳.
Papers archive 2025-07-28
15 shown of 15, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Adventurer: Exploration with BiGAN for Deep Reinforcement Learning 24 Mar 2025 · 0 repositories · arXiv:2503.18612
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Improving GANs for Long-Tailed Data through Group Spectral Regularization 21 Aug 2022 · 1 repository · arXiv:2208.09932Syntology ran 0 of 3 samples · 3 unverified
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Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud 16 Aug 2022 · 0 repositories · arXiv:2208.07675
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GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs 13 Dec 2021 · 1 repository · arXiv:2112.06431
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Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey 26 Nov 2021 · 0 repositories · arXiv:2111.13282
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Combining GANs and AutoEncoders for Efficient Anomaly Detection 16 Nov 2020 · 1 repository · arXiv:2011.08102
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Generalized Adversarially Learned Inference 15 Jun 2020 · 0 repositories · arXiv:2006.08089
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Bidirectional Generative Modeling Using Adversarial Gradient Estimation 21 Feb 2020 · 2 repositories · arXiv:2002.09161
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A critical analysis of self-supervision, or what we can learn from a single image 30 Apr 2019 · 2 repositories · arXiv:1904.13132Syntology ran 0 of 2 samples · 2 unverified
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An Empirical Study of Generative Models with Encoders 19 Dec 2018 · 0 repositories · arXiv:1812.07909
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Semi-supervised learning with Bidirectional GANs 28 Nov 2018 · 0 repositories · arXiv:1811.11426
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The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling 1 Jan 2018 · 0 repositories
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Theoretical limitations of Encoder-Decoder GAN architectures 7 Nov 2017 · 0 repositories · arXiv:1711.02651
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Multi-view Generative Adversarial Networks 7 Nov 2016 · 0 repositories · arXiv:1611.02019
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Adversarial Feature Learning 31 May 2016 · 10 repositories · arXiv:1605.09782Syntology ran 1 of 1 samples · 0 unverified
Tasks archive 2025-07-28
20 shown of 28 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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