Check out my class talk slides about Graph Neural Networks and their applications in NLP!
My related works:
Please check my notes for the Spring Semester 2020:
- Text Generation
- BERT understanding
- Knowledge Distillation
- NLP Applications
To bridge the gap between Paddle Serving and PaddlePaddle framework, we release the new service of PaddleServing: Model As A Service (MAAS) online in Github. With the help of the new service, when a PaddlePaddle model is trained, users now can obtain the corresponding inference model at the same time, making it possible to deploy the deep learning inference service online for any applications. PaddleServing has the following four key features:
Please check my notes for an updated version about Transfer Learning with NLP tasks:
A brief outline:
- Transfer Learning with word embedding
- Pre-BERT times
- BERT and its variants
- Understanding, reducing BERT
- Transfer Learning in the real world
Also, visit my A brief Introduction on Transfer Learning notes from 2019 Spring.
The pdf contains some notes on several papers, some of which only have 1-2 slide pages. Again, red fonts are my thoughts and insights. I wish my notes can help readers to better understand the new concepts and get inspired.
Click to view:
Finally, my notes are online now:
We have almost doubled the number of manually collected resources since our previous release, now totaling over 13,000.
During this summer, I did a project on cross-lingual NLP tasks. Recently I was working my notes and I organized them into a better format. I would like to share some of the notes with the readers who might be interested in this topic.