For modest incremental improvements, I greatly prefer boring technical titles. Not everything needs to a stochastic parrot. We see this dynamic with building luxury condos. On any individual project, making that pick will help juice profit. When the whole city follows that , it leads to a less desirable outcome.
Had to throw some Jurassic Park humor in here.
- Vision Transformers can be parallelized to reduce latency and improve optimization without sacrificing accuracy.
- Fine-tuning only the attention layers is often sufficient for adapting ViTs to new tasks or resolutions, saving compute and memory.
- Using MLP-based patch preprocessing improves performance in masked self-supervised learning by preserving patch independence.
If you’ve already decided you’re interested in the paper, then the Introduction and/or Conclusion sections are what you’re looking for.