Row 20174

Row ID: 20174 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 20174 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

That's true across most fields, but it's particularly pronounced in ML/AI. Many researchers I know aim to publish in top-tier conferences first. If unsuccessful, they try second-tier conferences, then top-tier conference workshops, and finally second-tier workshops. The reality is that luck plays a role in research, as there's a significant amount of noise, especially at major conferences like NIPS and CVPR. Often, reviewers may lack expertise in your specific sub-field, and with theorem proofs and numerous papers to review, it's nearly impossible to thoroughly evaluate everything.

FieldValue
text That's true across most fields, but it's particularly pronounced in ML/AI. Many researchers I know aim to publish in top-tier conferences first. If unsuccessful, they try second-tier conferences, then top-tier conference workshops, and finally second-tier workshops. The reality is that luck plays a role in research, as there's a significant amount of noise, especially at major conferences like NIPS and CVPR. Often, reviewers may lack expertise in your specific sub-field, and with theorem proofs …
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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Raw Record

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  "text": "That's true across most fields, but it's particularly pronounced in ML/AI. Many researchers I know aim to publish in top-tier conferences first. If unsuccessful, they try second-tier conferences, then top-tier conference workshops, and finally second-tier workshops. The reality is that luck plays a role in research, as there's a significant amount of noise, especially at major conferences like NIPS and CVPR. Often, reviewers may lack expertise in your specific sub-field, and with theorem proofs and numerous papers to review, it's nearly impossible to thoroughly evaluate everything.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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}
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