I am interested in the fields of Applied AI, Reinforcement learning and NLP.

This repo is updated on a regular basis to keep track of the research papers I come across.

This helps me to motivate myself to regularly update myself about what's happening in these fields and use these as a stepping stone for a project.

Feel free to raise a contribution if you find anything worth adding in this list :)

1. Federated Learning: https://ai.googleblog.com/2017/04/federated-learning-collaborative.html
2. On Device Machine Intelligence https://ai.googleblog.com/2017/02/on-device-machine-intelligence.html
3. The tech behind cinematic photos https://ai.googleblog.com/2021/02/the-technology-behind-cinematic-photos.html
4. Mastering Atari with discrete world models https://ai.googleblog.com/search?updated-max=2021-02-19T10:35:00-08:00&max-results=10
5. Recognizing Pose Similarity in Images and Videos https://ai.googleblog.com/2021/01/recognizing-pose-similarity-in-images.html
6. MT-DNN: https://github.com/microsoft/MT-DNN
7. Context-Based Quotation Recommendation: https://arxiv.org/pdf/2005.08319.pdf
8. Deep learning for automated sleep staging using instantaneous heart rate https://www.nature.com/articles/s41746-020-0291-x.pdf
9. Growing and serving large open domain knowledge graphs - https://arxiv.org/pdf/2305.09464.pdf - Shallow embedding models vs Deep embedding models, semantic annotation, Global knowledge enrichment, on device ML