Summaries for papers discussed by VLG.

2019

• Bridging the Gap between Training and Inference for Neural Machine Translation[Paper][Review]
  • Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu ACL-2019
• Designing and Interpreting Probes with Control Tasks [Paper][Review]
  • John Hewitt, Percy Liang EMNLP-2019
• Specializing Word Embeddings (for Parsing) by Information Bottleneck[Paper][Review]
  • Xiang Lisa Li, Jason Eisner EMNLP-2019
• vGraph: A Generative Model for Joint Community Detection and Node Representational Learning [Paper] [Review]
  • Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang, NIPS-2019
• Uniform convergence may be unable to explain generalization in deep learning[Paper][Review]
  • Vaishnavh Nagarajan, J. Zico Kolter NIPS-2019
• SinGAN: Learning a Generative Model from a Single Natural Image [Paper] [Review]
  • Tamar Rott Shaham, Tali Dekel, Tomer Michaeli, ICCV-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
• This Looks Like That: Deep Learning for Interpretable Image Recognition [Paper] [Review]
  • Chaofan Chen, Oscar Li, Chaofan Tao, Alina Jade Barnett, Jonathan Su, Cynthia Rudin, NIPS -2019

2018

• CyCADA: Cycle-Consistent Adversarial Domain Adaptation [Paper] [Review]
  • Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell, ICML-2018

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