weak supervision

USAGE SUMMARY

The phrase "weak supervision" is correct and usable in written English.
It is typically used in the context of machine learning and artificial intelligence to describe a training method that uses limited or imprecise labels for data. Example: "In this study, we explore the effectiveness of weak supervision in improving model performance with minimal labeled data."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

32 human-written examples

Training Complex Models with Multi-Task Weak Supervision.

Stanford University

Reef: Automating Weak Supervision to Label Training Data, Paroma Varma and C. Ré.

Stanford University

In AAAI19, Snorkel folks talk about Training Complex Models with Multi-Task Weak Supervision.

Stanford University

ICLR Workshop 18. Snorkel MeTaL: Weak Supervision for Multi-Task Learning.

Stanford University

The combination of imprudent lenders, inexperienced borrowers, weak supervision and a booming economy proved fatal.

The Economist

In New York, federal investigators found other sorts of problems, including weak supervision of the speech programs covered by Medicaid.

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

28 human-written examples

The report does not consider (as a libel jury would have done) whether, despite sloppy journalism, weak editorial supervision and poor management, it was still in the public interest for the BBC to broadcast the fact that a senior and well-informed public officer had made serious accusations about the way in which the dossier had been compiled.

The Guardian

If fidelity is weak, clinical supervision is given for the next session, followed by a further independent observation.

BMJ Open

Weak support, supervision and management have been identified as factors in job dissatisfaction in many countries, including Fiji, Tonga, Papua New Guinea, Vietnam and Cambodia [ 4, 12, 13, 34] (See Figure 7).

Human Resources for Health

Of particular note were the weak monitoring, supervision and feedback systems; the dual roles for APE supervisors as health facility workers; the allocation of resources for transportation/fuel; and weak referral systems.

Human Resources for Health

Our findings showed that there is weak supportive supervision from CHMT to lower-level facilities caused by insufficient human resources as well as lack of reliable means of transport.

Global Health Action

Expert writing Tips

Best practice

When using "weak supervision" in technical writing, clearly define the level and type of supervision being applied to avoid ambiguity. Provide context for how this approach affects outcomes.

Common error

Avoid assuming that "weak supervision" inherently leads to negative outcomes. Instead, analyze and articulate the specific consequences of reduced oversight in your context.

Linguistic Context

The phrase "weak supervision" functions primarily as a noun phrase. As supported by Ludwig, it describes a state or condition of reduced or insufficient oversight. It is often related to business, educational or health contexts.

Expression frequency: Common

Frequent in

Academia

35%

News & Media

33%

Science

29%

Less common in

Formal & Business

3%

Reference

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "weak supervision" is a noun phrase that describes a condition of reduced or inadequate oversight. Ludwig AI confirms its grammatical correctness and usability, highlighting its prevalence across academia, news, and scientific domains. While the phrase is commonly used, particularly in technical contexts, it's crucial to define the specifics of the supervision level and its potential implications to maintain clarity. When employing this term, avoid generalizations and instead, focus on the concrete consequences within the particular context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

limited oversight

Focuses on the restriction of the supervisory activities.

inadequate monitoring

Highlights the insufficiency of the monitoring process.

lax control

Emphasizes a relaxed or lenient approach to control mechanisms.

deficient surveillance

Points out the imperfection or incompleteness of the surveillance.

minimal direction

Stresses the scarcity or infrequency of guidance provided.

attenuated guidance

Highlights that the guidance is reduced or weakened.

reduced scrutiny

Indicates a decrease in the intensity or frequency of examination.

wane supervision

Emphasizes that the supervision is declining or diminishing.

flimsy monitoring

Highlights that the monitoring is not robust or reliable.

under-regulated

It describes an activity that isn't regulated enough.

FAQs

How is "weak supervision" used in machine learning?

In machine learning, "weak supervision" refers to training models with noisy, limited, or imprecise labels. This approach is useful when labeled data is scarce or expensive to obtain.

What are the benefits of using "weak supervision" in AI?

Using "weak supervision" in AI allows for training models with less human effort, reduces the cost of data labeling, and enables the use of larger datasets that may not be fully labeled.

What are some alternatives to "weak supervision"?

You can use alternatives like "limited oversight", "inadequate monitoring", or "lax control" depending on the context.

In what contexts might "weak supervision" be problematic?

"Weak supervision" can be problematic in highly regulated industries or when dealing with sensitive data, where stricter controls are typically required to ensure compliance and data security.