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  • Latent Variable Model for Multi-modal Translation. ACL 19

    • Iacer Calixto, Miguel Rios and Wilker Aziz

  • Interpretable Neural Predictions with Differentiable Binary Variables. ACL 2019

    • Joost Bastings, Wilker Aziz and Ivan Titov.

  • Lagging Inference Networks and Posterior Collapse in Variational Autoencoders, ICLR 19

    • Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick

  • Spherical Latent Spaces for Stable Variational Autoencoders, EMNLP 18

    • Jiacheng Xu and Greg Durrett, UT Austin

  • Avoiding Latent Variable Collapse with Generative Skip Models, AISTATS 19

    • Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei

  • The Annotated Gumbel-softmax. Yao Fu. 2020 (link)

  • Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

    • Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

  • Direct Optimization through arg max for Discrete Variational Auto-Encoder

    • Guy Lorberbom, Andreea Gane, Tommi Jaakkola, Tamir Hazan

  • My notes on mutual information. Yao Fu, 2019. pdf

    • Basics of information theory

  • Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization, NIPS 18

    • Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan

  • Discovering Discrete Latent Topics with Neural Variational Inference, ICML 17

    • Yishu Miao, Edward Grefenstette, Phil Blunsom. Oxford

  • TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency, ICLR 17

    • Adji B. Dieng, Chong Wang, Jianfeng Gao, John William Paisley

  • Topic Aware Neural Response Generation, AAAI 17

    • Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma