Current Trend in Machine Learning
The article discusses the recent trend of creating an increasing number of benchmarks in the field of Machine Learning, which the author believes could be better utilized for more important topics.
Why it matters
The article raises a valid concern about the potential over-emphasis on benchmark creation in the Machine Learning community, which could divert resources from more impactful research and development.
Key Points
- 1Increasing number of benchmarks being created in Machine Learning
- 2Effort spent on benchmarks could be better utilized for more important topics
- 3Concern about the proliferation of benchmarks in the field
Details
The article highlights the growing trend of creating various benchmarks in the field of Machine Learning. The author expresses concern that the significant effort and resources being devoted to developing these benchmarks could be better utilized for addressing more pressing and important topics within the field. The article suggests that the proliferation of benchmarks may be distracting from the core advancements and research that could have a greater impact on the field of Machine Learning.
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