Adversarially Meaning and Definition
Adversarially
Pronunciation
/ˌәd-vər-sə-ˈrɑɪ-əl-i/
Part of Speech
Noun or Verb
Definition
A method of training AI models or neural networks by presenting them with a mixture of correct and incorrect data, designed to improve the model’s robustness and ability to generalize to unseen data.
Examples
- The team used adversarially generated data to train their AI model for medical diagnosis.
- Adversarial training is a crucial step in developing sustainable AI systems.
Synonyms
- Robust Training
- Adversarial Training
Antonyms
- Naive Training
- Standard Training
Etymology
The word “Adversarially” originates from the Latin words “adversus,” meaning “opposite” or “against,” and “iarilibrium,” meaning “balance” or “equilibrium.” It was first used in the field of artificial intelligence to describe the method of training AI models to counteract adversarial attacks.
Usage Notes
When using the term “Adversarially,” it is essential to understand the context in which it is being used. In AI and machine learning, adversarial training refers to the process of presenting a model with both correct and incorrect data to improve its robustness. However, in other fields, the term may have different meanings or connotations.
Cultural References
Adversarially has been mentioned in several popular science and technology articles, podcasts, and books. For example, in the book “Life 3.0: Being Human in the Age of Artificial Intelligence” by Max Tegmark, the concept of adversarial training is discussed as a crucial step in developing AI systems.
Idiomatic Expressions or Phrases
There are no specific idiomatic expressions or phrases that include the word “Adversarially.” However, the term “adversarial” is often used in idiomatic expressions such as “adversarial relationship” or “adversarial pressure.”
Related Words or Phrases
Some related words or phrases include “adversarial training,” “adversarial attack,” “robust training,” and “standard training.”
Collocations
Common collocations with the term “Adversarially” include “adversarially trained,” “adversarially robust,” and “adversarially stable.”
Frequency of Use
The frequency of use of the term “Adversarially” is increasing in the fields of artificial intelligence, machine learning, and data science. However, it remains a niche term and is not commonly used in everyday conversation.
Common Misspellings
Some common misspellings of the term “Adversarially” include “Adverserally,” “Adversary,” and “Adversarialy.”