You are viewing a single thread.
View all comments View context
13 points

Why do you think this would do anything to affect training? The patterns learned by ML models are way too fuzzy to be picky about exact pixel values.

permalink
report
parent
reply
2 points
*
4 points

What is this article supposed to show?

permalink
report
parent
reply
8 points

I’m not sure what your experience is with the training data but that would absolutely effect the inputs.

permalink
report
parent
reply
11 points

I’m a professional software developer with ML experience, albeit not an expert in ML specifically. It would obviously affect the literal value of the embeddings, but there’s no chance it would have a qualitative effect on a reasonably performant model.

permalink
report
parent
reply
1 point

It would though and their paper shows as much. The thing many forget is that it isn’t trained visually like us. Little input changes like this have a big impact.

Now eventually if everyone uses the same glazing method the training won’t care but at the moment this is bespoke enough that it can’t be trained well on it. It will always be an arms race though.

permalink
report
parent
reply
5 points

not to be that guy, but it’s affect*

permalink
report
parent
reply
2 points
Deleted by creator
permalink
report
parent
reply
-6 points

Not to be that guy, but you should learn more before trying to correct people using elementary school grammar rules.

permalink
report
parent
reply
6 points
*

affect - action

effect - uh, noun

permalink
report
parent
reply

News

!news@lemmy.world

Create post

Welcome to the News community!

Rules:

1. Be civil

Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban.


2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.

Obvious right or left wing sources will be removed at the mods discretion. We have an actively updated blocklist, which you can see here: https://lemmy.world/post/2246130 if you feel like any website is missing, contact the mods. Supporting links can be added in comments or posted seperately but not to the post body.


3. No bots, spam or self-promotion.

Only approved bots, which follow the guidelines for bots set by the instance, are allowed.


4. Post titles should be the same as the article used as source.

Posts which titles don’t match the source won’t be removed, but the autoMod will notify you, and if your title misrepresents the original article, the post will be deleted. If the site changed their headline, the bot might still contact you, just ignore it, we won’t delete your post.


5. Only recent news is allowed.

Posts must be news from the most recent 30 days.


6. All posts must be news articles.

No opinion pieces, Listicles, editorials or celebrity gossip is allowed. All posts will be judged on a case-by-case basis.


7. No duplicate posts.

If a source you used was already posted by someone else, the autoMod will leave a message. Please remove your post if the autoMod is correct. If the post that matches your post is very old, we refer you to rule 5.


8. Misinformation is prohibited.

Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.


9. No link shorteners.

The auto mod will contact you if a link shortener is detected, please delete your post if they are right.


10. Don't copy entire article in your post body

For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.

Community stats

  • 15K

    Monthly active users

  • 18K

    Posts

  • 480K

    Comments