Row 5054

Row ID: 5054 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 5054 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I just wanted to remind or introduce newcomers to this paper. I think this discussion should be re-opened since many people here actually do influence the trends of the field.

[https://arxiv.org/pdf/1807.03341](https://arxiv.org/pdf/1807.03341)

---------------------------------------------------------------

On a personal note (feel free to skip):

Specifically, I want to point out the issue of "Mathiness", as it seems like this problem **got way out of hand** and most best papers of conferences suffer from it (one of the most important ML papers tried to be mathy and introduced a big mistake, I believe other papers have bigger issues but no one bothers to check it).

So here are my personal points to academics and researchers:

1. We (I think most will relate), practitioners, do not need equations to know what recall is and clearly don't want to read difficult-to-understand versions of what linear regression is, it just makes your paper unuseful. If you don't want to waste our time, please put it in the appendix or completely remove it. 2. Reviewers, please don't get impressed by unnecessary math, if it's complicated and does nothing useful, who cares? Also, it might be flawed anyway and you will probably not catch it.

FieldValue
text I just wanted to remind or introduce newcomers to this paper. I think this discussion should be re-opened since many people here actually do influence the trends of the field. [https://arxiv.org/pdf/1807.03341](https://arxiv.org/pdf/1807.03341) --------------------------------------------------------------- On a personal note (feel free to skip): Specifically, I want to point out the issue of "Mathiness", as it seems like this problem **got way out of hand** and most best papers of conferenc…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-04-25
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Raw Record

{
  "text": "I just wanted to remind or introduce newcomers to this paper. I think this discussion should be re-opened since many people here actually do influence the trends of the field.\n\n[https://arxiv.org/pdf/1807.03341](https://arxiv.org/pdf/1807.03341)\n\n---------------------------------------------------------------\n\nOn a personal note (feel free to skip):\n\nSpecifically, I want to point out the issue of \"Mathiness\", as it seems like this problem **got way out of hand** and most best papers of conferences suffer from it (one of the most important ML papers tried to be mathy and introduced a big mistake, I believe other papers have bigger issues but no one bothers to check it).\n\nSo here are my personal points to academics and researchers:\n\n1. We (I think most will relate), practitioners, do not need equations to know what recall is and clearly don't want to read difficult-to-understand versions of what linear regression is, it just makes your paper unuseful. If you don't want to waste our time, please put it in the appendix or completely remove it.\n2. Reviewers, please don't get impressed by unnecessary math, if it's complicated and does nothing useful, who cares? Also, it might be flawed anyway and you will probably not catch it.",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-04-25",
  "username_encoded": "Z0FBQUFBQm5LakwyMzI3OXA4NVFlMkdBejJFejJLLTJ1YXRQVkxtUUJwaWFwYnE5MmU1cHlGWWZwUmE2X2luR19XVDJieXZNQ2xZcE5ORENXY2x2dEJMblBPRnhwVTA2ZkE9PQ==",
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