ML Research Threads
Evergreen, ongoing notes on new research in machine learning. Separated by topic.
Topics
- large language models
- learning under distribution shifts (domain generalization)
- few-shot learning (meta learning)
- self-supervised learning/representation learning/contrastive learning/pre-training
- machine learning systems
- diffusion models