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Harnessing the Power of Noise: A Survey of Techniques and Applications

Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani
Journal Paper ACM Computing Surveys 58.13 (2026), pp. 1--27, 2026
Cited by 10 (Google Scholar)

Abstract

Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including nonlinear information processing, signal processing, image processing, machine learning, network science, and natural language processing. Through a comprehensive review of both historical and contemporary research, this survey presents a dual perspective on noise, acknowledging its potential to both disrupt and enhance performance. Particularly, we highlight how noise-enhanced training strategies can lead to models that better generalize from noisy data, positioning noise not just as a challenge to overcome but as a strategic tool for improvement. This work calls for a shift in how we perceive noise, proposing that it can be a spark for innovation and advancement in the information era.

BibTeX

@article{abdolazimi2026harnessingnoise,
  title = {Harnessing the Power of Noise: A Survey of Techniques and Applications},
  author = {Reyhaneh Abdolazimi and Shengmin Jin and Pramod K. Varshney and Reza Zafarani},
  year = {2026},
  keywords = {journal},
  journal = {ACM Computing Surveys},
  volume = {58},
  number = {13},
  pages = {1--27},
  abstract = {Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including nonlinear information processing, signal processing, image processing, machine learning, network science, and natural language processing. Through a comprehensive review of both historical and contemporary research, this survey presents a dual perspective on noise, acknowledging its potential to both disrupt and enhance performance. Particularly, we highlight how noise-enhanced training strategies can lead to models that better generalize from noisy data, positioning noise not just as a challenge to overcome but as a strategic tool for improvement. This work calls for a shift in how we perceive noise, proposing that it can be a spark for innovation and advancement in the information era.},
  url = {https://doi.org/10.1145/3811813},
  pdf = {https://dl.acm.org/doi/epdf/10.1145/3811813},
}