Survey papers are my top recommendation to start getting familiar with the field of machine learning and NLP.
They are useful for me as a researcher and as someone that's passionate about ML education.
Here is a collection of ML/NLP overviews I've shared the past few months ↓
They are useful for me as a researcher and as someone that's passionate about ML education.
Here is a collection of ML/NLP overviews I've shared the past few months ↓
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Graph Neural Networks for Natural Language Processing: A Survey
A Survey of Transformers
Pretrained Language Models for Text Generation: A Survey
A Survey of Data Augmentation Approaches for NLP
Geometric Deep Learning Grids, Groups, Graphs, Geodesics, and Gauges
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
A Practical Survey on Faster and Lighter Transformers
Requirement Engineering Challenges for AI-intense Systems Development
Model Complexity of Deep Learning: A Survey
I am sure there are many other great survey papers out there. These are just some of the ones I have shared because they cover topics I'm interested in.
Stay tuned for more!
Stay tuned for more!
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