Computer Science PhD Student (NLU).
Interesting stuff below ↓; a bit about me here ←.
- Charles Lovering, Rohan Jha, Tal Linzen, Ellie
Pavlick. Predicting Inductive Biases of Pre-Trained Models.
ICLR, 2021. Github.
- Rohan Jha, Charles Lovering, Ellie Pavlick. Does Data
Augmentation Improve Generalization in NLP?
- Charles Lovering, Ellie Pavlick. Self-play for Data
Efficient Language Acquisition. 2020. PREPRINT.
Visualizations of Lindenmayer systems, generating beautiful ferns!
- Playground: Different interactive
visualizations, including a hexagon-based game-of-life, random gradient walks, and (my favorite)
This site replicates the distill design.
Adobe XD CC for diagrams, D3 for visualizations, and PyTorch for implementations (a plurality of the time).
If a diagram (or notes or presentation) proves useful, let me know (or cite this website)!