Harnessing the Power of Noise: A Survey of Techniques and Applications
<|reference_start|>Harnessing the Power of Noise: A Survey of Techniques and Applications: 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.<|reference_end|>
@article{abdolazimi2024harnessing,
    title={Harnessing the Power of Noise: A Survey of Techniques and Applications},
    author={Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani},
    journal={arXiv preprint arXiv:2410.06348},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.06348},
    primaryClass={cs.LG}
}