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Summaries of papers in deep learning.

2019

  • InstaGAN: Instance-aware Image-to-Image Translation. [Paper] [Summary]
    • Sangwoo Mo, Minsu Cho, Jinwoo Shin. ICLR 2019

2018

  • Learning Disentangled Joint Continuous and Discrete Representations. [Paper] [Summary]
    • Emilien Dupont. NIPS 2018
  • Disentangling by Factorising. [Paper] [Summary]
    • Hyunjik Kim, Andriy Mnih. ICML 2018
  • DeepLab Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. [Paper] [Summary]
    • Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018
  • Video-to-Video Synthesis. [Paper] [Summary]
    • Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro. NeurIPS 2018
  • High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. [Paper] [Summary]
    • Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro. CVPR 2018

2017

  • beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. [Paper] [Summary]
    • Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, Alexander Lerchner. ICLR 2017
  • Visual Dialog. [Paper] [Summary]
    • Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra. CVPR 2017
  • InfoVAE: Information Maximizing Variational Autoencoders. [Paper] [Summary]
    • Shengjia Zhao, Jiaming Song, Stefano Ermon. arXiv 2017
  • Rethinking Atrous Convolution for Semantic Image Segmentation. [Paper] [Summary]
    • Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam. arXiv 2017
  • Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. [Paper] [Summary]
    • Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros. ICCV 2017
  • Image-to-Image Translation with Conditional Adversarial Networks. [Paper] [Summary]
    • Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. CVPR 2017
  • Least Squares Generative Adversarial Networks. [Paper] [Summary]
    • Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley. ICCV 2017

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Summaries of some of the deep learning research papers I have read.

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