Summary of Harnessing the Power Of Noise: a Survey Of Techniques and Applications, by Reyhaneh Abdolazimi et al.
Harnessing the Power of Noise: A Survey of Techniques and Applications
by Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani
First submitted to arxiv on: 8 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper reconsiders noise as a potential benefit across various domains, including machine learning, signal processing, and natural language processing. It presents a dual perspective on noise, highlighting its ability to both disrupt and enhance performance. Specifically, it explores how noise-enhanced training strategies can lead to models that better generalize from noisy data. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Noise is being seen as an unexpected benefit in many areas of technology. The paper looks at old and new research and shows how noise can be used to improve things like machine learning and image processing. It also talks about how using a little bit of noise during training can make models work better when they’re given noisy data. |
Keywords
» Artificial intelligence » Machine learning » Natural language processing » Signal processing
