/papers_we_read

Summaries of the papers that are discussed by VLG

Deep Learning Paper Summaries

Summaries for papers discussed by VLG.

Summaries

2019

  • Graph U-Nets [Paper] [Review]
    • Hongyang Gao, Shuiwang Ji, ICML-2019
  • Feature Denoising for Improving Adversarial Robustness [Paper] [Review]
    • Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, kaiming He, CVPR-2019

2017

  • Unpaired Image-to-Image Translation using Cycle Consistent Adversarial Networks [Paper] [Review]
    • Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros, ICCV-2017
  • Densely Connected Convolutional Networks [Paper] [Review]
    • Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger , CVPR-2017

2016

  • Siamese Recurrent Architectures for Learning Sentence Similarity [Paper] [Review]
    • Jonas Mueller, Aditya Thyagarajan, AAAI-2016