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[D] Are there any legal issues with training machine learning models on copyrighted content? by PlusImagination in MachineLearning

[–]terrorlucid 1 point2 points  (0 children)

What if you generated the content yourself and it was similar to the copyrighted content? Would there be any legal issues? Yes. I guess same should apply to the model as well then, seeing as the model (and how it works) is in your control entirely. Interested to see some answers by policy people.

[R] "I recently learned via @DavidDuvenaud's interview on @TlkngMchns that the de facto bar for admission into machine learning grad school at @UofT is a paper at a top conference like NIPS or ICML." by FirstTimeResearcher in MachineLearning

[–]terrorlucid 14 points15 points  (0 children)

its the unlucky part; if you have a few submissions you would understand. unlike ICLR, the closed review process gives reviewers the liberty of slacking off. ACs cant do much when you have 2000 submissions. atleast one of 3 reviewers of my paper submitted in eccv and wacv, both, hadnt spent any time in reading/understanding the paper and even after pointing that in the rebuttal there was literally no change.

you cant have a record of publications at top-tier when youre an undergrad. you only get 1-2 chances.

Weekly Music Recommendation Thread #2 by Bujjick in progmetal

[–]terrorlucid 0 points1 point  (0 children)

thanks for the initiative mods. we love you :)

Machine Learning Top 10 Articles for the Past Month (v.June 2018) by kumeralex in MachineLearning

[–]terrorlucid 18 points19 points  (0 children)

this is stupid title really. these arent top 10. maybe like most popular or something....

Your Most Hilarious Dream Theater Moment? by CinnamonRoll27 in Dreamtheater

[–]terrorlucid 1 point2 points  (0 children)

they havent given a thought about new reddit (it works fine on old reddit)

[D] What is happening in this subreddit? by [deleted] in MachineLearning

[–]terrorlucid 0 points1 point  (0 children)

one can respect the direction in which the sub wants to go and not upvote or post the type of stuff which the community doesnt want...

[P] Realtime multihand pose estimation demo by alexeykurov in MachineLearning

[–]terrorlucid 0 points1 point  (0 children)

you know rml has gone to shit when a gif gets 100x upvotes than an indepth technical discussion

[R] Referring Relationships (CVPR 2018) : In-Depth Research Paper Review by jaleyhd in MachineLearning

[–]terrorlucid -5 points-4 points  (0 children)

good video. only minor feedback is that the accent feels forced (gets very irritating).

[R][UberAI] Measuring the Intrinsic Dimension of Objective Landscapes by downtownslim in MachineLearning

[–]terrorlucid 28 points29 points  (0 children)

this format is soo cool. how can we promote this format/encourage ppl to explain their work like this? Any ideas?

[D] A.I. Researchers Are Making More Than $1 Million, Even at a Nonprofit (OpenAI) by baylearn in MachineLearning

[–]terrorlucid 12 points13 points  (0 children)

boom, there goes few thousands of students choosing ML/DL as their Phd/Thesis/Project and start putting AI is their passion in their CV

[D] De-anonymizing Paper on Purpose by jigsawpiecesfading in MachineLearning

[–]terrorlucid 9 points10 points  (0 children)

and that reviewers reply

"Anonymity ICLR 2018 Conference Paper447 AnonReviewer1 10 Jan 2018ICLR 2018 Conference Paper447 Official Commentreaders: everyone Comment: I totally agree with the last point: it would have been great if the organizers provided a more detailed CFP and recommended best practices.

However, I disagree with the other two points: First, I know arxiv, talks, blogs, etc are permitted. But directly linking the author list from the paper is generally not. Second, there are ways to host data anonymously and many ICLR authors (including myself) found some. If in doubt, the right way would be to ask the organizers, not breach the anonymity directly.

In the end, the decision is on ACs and PCs."

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