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.