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[D] Summary of best papers of NIPS, ACL, EMNLP 2019

Hi,

Vision and Language Group, a deep learning group at IIT Roorkee, has written summaries for various NeurIPS, ACL, EMNLP 2019 papers:

  1. Putting an End to End-to-End: Gradient-Isolated Learning of Representations
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/infomax.md
  2. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/srn.md
  3. Specializing Word Embeddings (for Parsing) by Information Bottleneck
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/info_bottleneck.md
  4. Designing and Interpreting Probes with Control Tasks
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/control_tasks.md
  5. Bridging the Gap between Training and Inference for Neural Machine Translation
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/NMT_Gap.md
  6. Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/ecpe.md
  7. Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/florence.md
  8. Zero-Shot Entity Linking by Reading Entity Descriptions
    https://github.com/vlgiitr/papers_we_read/blob/master/summaries/entity_linking.md

If you found the summaries useful do star the repo. The repo will be constantly updated with summaries of more papers from tier-1 conferences.

submitted by /u/vlg_iitr
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.