Answers.Body: <p>This workshop that has been at NeurIPS for several years is for things you think aught to work, but don't:
  <a href="https://i-cant-believe-its-not-better.github.io/" rel="nofollow noreferrer">https://i-cant-believe-its-not-better.github.io/</a></p>
  
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Answers.CreationDate: 2023-08-01T08:44:35.557Z
Answers.LastActivityDate: 2023-08-01T08:44:35.557Z
Answers.UserDisplayName: Carl
Answers.Body: <p>Such results should probably be put on arXiv. It's moderated, but there's no peer-review process, so if your goal is to just make useful information available, then this is your best bet.</p>
  
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Answers.CreationDate: 2023-07-16T06:54:30.343Z
Answers.LastActivityDate: 2023-07-16T06:54:30.343Z
Answers.UserDisplayName: Alexander Wan
Body: <p>Negative results occur frequently in AI/ML research (and perhaps in other domains too). Most of the time, these results are not published. This is mostly because your typical AI/ML conference doesn't accept such papers.</p>
  <p>However, are there any venues to publish these results?  I believe these results can be still useful to look at before you delve into a certain project so that you'd at least know what approaches don't work.</p>
  <p>As an example venue, there seems to be <a href="https://perfail-workshop.github.io/2022/" rel="noreferrer">PerFail workshop</a> from the pervasive computing domain. So, is there something similar for AI/ML?</p>
  
Tags: <research><academia>
Title: Is there a venue to publish negative results in AI/ML domain?
UserDisplayName: SpiderRico
ThreadText: # Is there a venue to publish negative results in AI/ML domain?
  
  (Asked by: username_0 on 2021-09-07)
  
  Negative results occur frequently in AI/ML research (and perhaps in other domains too). Most of the time, these results are not published. This is mostly because your typical AI/ML conference doesn't accept such papers.
  
  However, are there any venues to publish these results? I believe these results can be still useful to look at before you delve into a certain project so that you'd at least know what approaches don't work.
  
  As an example venue, there seems to be [PerFail workshop](https://perfail-workshop.github.io/2022/) from the pervasive computing domain. So, is there something similar for AI/ML?
  
  **Tags:** research, academia
  
  
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  ## 2 answers
  
  ### Answer by username_1 on 2023-08-01. Score: 1
  
  This workshop that has been at NeurIPS for several years is for things you think aught to work, but don't:
  <https://i-cant-believe-its-not-better.github.io/>
  
  
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  ### Answer by username_2 on 2023-07-16. Score: 0
  
  Such results should probably be put on arXiv. It's moderated, but there's no peer-review process, so if your goal is to just make useful information available, then this is your best bet.
  
  
  ---
  
  