Example Blog: Figure, Citations, and Discussion
This is a second example post so you can verify formatting and structure.
Final URL for this file:
/blogs/example-blog-with-figure-citations
1. Problem Setup
Given a model $f_\theta$ and task stream ${\mathcal{D}t}{t=1}^T$, we optimize:
\[\min_\theta \sum_{t=1}^{T} \mathcal{L}_t(\theta) + \lambda \Omega(\theta).\]A common regularizer is:
\[\Omega(\theta) = \left\|\theta - \theta^{(t-1)}\right\|_2^2.\]2. Figure Example
3. Discussion
Key observations
- The regularization term can reduce forgetting.
- Strong regularization may reduce adaptation on new tasks.
- Hyperparameter $\lambda$ controls the trade-off.
Practical checklist
- Start with a small validation sweep for $\lambda$.
- Monitor both old-task and new-task performance.
- Report average accuracy and forgetting metrics.
4. Reference Style Examples
Inline citation style:
- Elastic Weight Consolidation was introduced in [1].
- Episodic memory-based approaches are discussed in [2].
Numbered references:
[1] Kirkpatrick et al., Overcoming catastrophic forgetting in neural networks, PNAS 2017.
[2] Lopez-Paz and Ranzato, Gradient Episodic Memory for Continual Learning, NeurIPS 2017.
[3] Parisi et al., Continual Lifelong Learning with Neural Networks, Neural Networks 2019.
5. BibTeX Block Example
@article{kirkpatrick2017ewc,
title = {Overcoming catastrophic forgetting in neural networks},
author = {Kirkpatrick, James and others},
journal = {Proceedings of the National Academy of Sciences},
year = {2017}
}