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Comment by sarciszewski | Hacker News Reader

http://i.imgur.com/Lq648My.png

Well, there goes my last ounce of self esteem.

If anyone needs me I'll be sitting in the corner with one of those criminal hacker ski masks while I work on open source stuff.

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Well, if it makes you feel better, see what the algo thinks is hot…

https://polybox.ethz.ch/index.php/s/tI9QTAblYVanuA9

:-)

I've been feeding it various pictures of fursuits at different angles to see if I could force it to treat one as human, but so far I've been unsuccessful.

I've tried to get it to tell me how godlike my cat is, but it just won't.

Is that ironic? 'Cause I think polar bears are so hot.

(XPpPpP)

I got a http://iobound.com/pareidoloop/ output image categorized as "Hot"...

Get rid of the headphones and try again

At the time that picture was taken, I didn't own speakers.

Now, I look even worse and don't own a working webcam.

Of course I tried a bunch of pictures of myself, just as everybody at HN is doing, ha ha!

I didn't get above the nice level.

First picture of my wife she immediately got the godlike level. Unfair advantage!!

"Before performing any experiments we removed underage people, anyone over 37 and bi- and homosexual users as these comprise only a small minority of the dataset."

That's already biasing it of course!

"Interestingly, 44.81% of the male ratings are positive, while only 8.58% of the female ratings are positive. Due to this strong bias of ratings by women, we only predict the ratings of men."

So, the algorithm learns to rate me as a heterosexual man?

From: http://arxiv.org/pdf/1510.07867v1.pdf

Yes, this was the data we worked with for attractiveness modeling. The algorithm learns from millions of ratings from males to females and from females to males, all heterosexuals. No underage or above 37 years old, and mostly people from Zurich area, Switzerland. For age and gender prediction we use more and diverse data.

I am Radu Timofte, one of the authors.

What did you mean about the bias of the rating by women?

Is it possible that quite a few men rate every women high irrespective of looks?

Or are women just more picky? Why is it called biased?

The ratings are "like" (positive) and "dislike" (negative). If men have ratings close to uniform distribution (44.81% are "like" ratings, 55.19% are "dislike"), women with only 8.58% "like" ratings are clearly unbalanced, or if you want the women are "very picky". We call this a strong bias in the ratings of women while for men there is a small(er) bias and this only to point out the difference from the uniform distribution (50%-50%). We can not tell and we are not the ones to judge if the men are voting randomly or are less picky or if the women are right or more picky, since the attractiveness is subjective and we do not have an ultimate ground truth to compare with. We can not say if the attractiveness should follow a particular distribution, we work empirically. In our study, the ratings of men tend to agree more and correlate more with our visual representation based on the face image (looks). We removed from our data the extreme cases such as users with less than 10 ratings or with too many ratings.

It's a comb-over you insensitive bastard!

Feel better about yourself: http://imgur.com/uJVnQ9S

Jesus christ.

On a more serious note, training set probably didn't include data from Asia.

Edit: Just scrolled down and saw your question (and the answer you received). :C

It's only relevant if you are interested in dating a robot...

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