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Learning disentangled representations of natural language is essential for many NLP tasks, e.g., conditional text generation, style transfer, personalized dialogue systems, etc.
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
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Unsupervised learning of disentangled representations from video
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Disentangled representation learning gan for pose-invariant face recognition
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Challenging common assumptions in the unsupervised learning of disentangled representations
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Luan Tran, Xi Yin, and Xiaoming Liu. 2017 · 2017
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Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Devon Hjelm, and Aaron Courville. 2018 · 2018
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Understanding disentangling in beta-vae
Christopher P Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner. 2018 · 2018
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Isolating sources of disentanglement in variational autoencoders
Tian Qi Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud. 2018 · 2018
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Multi-target voice conversion without parallel data by adversarially learning disentangled audio representations
Juchieh Chou, Cheng chieh Yeh, Hung yi Lee, and Lin shan Lee. 2018 · 2018
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Learning to decompose and disentangle representations for video prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li F Fei-Fei, and Juan Carlos Niebles. 2018 · 2018
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Generalized zero-shot learning via synthesized examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, and Piyush Rai. 2018 · 2018
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On variational bounds of mutual information
Ben Poole, Sherjil Ozair, Aaron Van Den Oord, Alex Alemi, and George Tucker. 2019 · 2019
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Engaging image captioning via personality
Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, and Jason Weston. 2019 · 2019
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Text-based interactive recommendation via constraint-augmented reinforcement learning
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, and Changyou Chen. 2019 · 2019
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Talking face generation by adversarially disentangled audio-visual representation
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, and Xiaogang Wang. 2019 · 2019
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Unsupervised multi-target domain adaptation: An information theoretic approach
Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, and Vladimir Pavlovic. 2020 · 2020
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Improving adversarial text generation by modeling the distant future
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, and Lawrence Carin. 2020 · 2020
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