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SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. [pdf]
- Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Feng Liangbing, Hau San Wong. CVPR 2022
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OSSGAN: Open-Set Semi-Supervised Image Generation. [pdf] [code]
- Kai Katsumata, Duc Minh Vo, Hideki Nakayama. CVPR 2022
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Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. [pdf]
- Yingda Yin, Yingcheng Cai, He Wang, Baoquan Chen. ICML 2021
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Unified Robust Semi-Supervised Variational Autoencoder. [pdf]
- Xu Chen. ICML 2021
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Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans. [pdf]
- Aamir Mustafa, Rafal K. Mantiuk. CVPR 2021
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Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. [pdf]
- Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong. CVPR 2021
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Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation. [pdf]
- Aamir Mustafa, Rafal K. Mantiuk. ECCV 2020
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Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. [pdf]
- Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong. CVPR 2020
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ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. [pdf]
- Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman. CVPR 2020
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Semi-Supervised Learning with Normalizing Flows. [pdf] [code]
- Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson. ICML 2020
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Semi-Supervised StyleGAN for Disentanglement Learning. [pdf] [code]
- Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar. ICML 2020
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Semi-Supervised Generative Modeling for Controllable Speech Synthesis. [pdf]
- Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby. ICLR 2020
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MarginGAN: Adversarial Training in Semi-Supervised Learning. [pdf] [code]
- Jinhao Dong, Tong Lin. NeurIPS 2019
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Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. [pdf]
- Caio Corro, Ivan Titov. ICLR 2019
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Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. [pdf]
- Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong. CVPR 2019
- Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model.
[pdf]
[code]
- Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim. ECCV 2018
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Triple Generative Adversarial Nets. [pdf]
- Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang. NeurIPS 2017
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Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks. [pdf]
- Wei-Sheng Lai, Jia-Bin Huang, Ming-Hsuan Yang. NeurIPS 2017
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Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference. [pdf]
- Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher. NeurIPS 2017
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Learning Disentangled Representations with Semi-Supervised Deep Generative Models. [pdf] [code]
- N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah D. Goodman, Pushmeet Kohli, Frank Wood, Philip H.S. Torr. NeurIPS 2017
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Good Semi-supervised Learning that Requires a Bad GAN. [pdf] [code]
- Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov. NeurIPS 2017
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Infinite Variational Autoencoder for Semi-Supervised Learning. [pdf]
- Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel. CVPR 2017
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Semi-Supervised QA with Generative Domain-Adaptive Nets. [pdf]
- Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen. ACL 2017
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Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks. [pdf]
- Cicero Nogueira dos Santos, Kahini Wadhawan, Bowen Zhou. JMLR 2017
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Auxiliary Deep Generative Models. [pdf]
- Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther. ICML 2016
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Improved Techniques for Training GANs. [pdf]
- Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen. NeurIPS 2016
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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks. [pdf]
- Jost Tobias Springenberg. ICLR 2016
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Semi-Supervised Learning with Generative Adversarial Networks. [pdf]
- Augustus Odena. Preprint 2016
- Semi-supervised Learning with Deep Generative Models.
[pdf]
- Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed, Max Welling. NeurIPS 2014