This is a place to share machine learning research papers, journals, and articles that you’re reading this week. If it relates to what you’re researching, by all means elaborate and give us your insight, otherwise it could just be an interesting paper you’ve read.

Please try to provide some insight from your understanding and please don’t post things which are present in wiki.

Preferably you should link the arxiv page (not the PDF, you can easily access the PDF from the summary page but not the other way around) or any other pertinent links.

Previous weeks :

Most upvoted papers two weeks ago:

/u/Simusid: Spectrogram Feature Losses for Music Source Separation

/u/MogwaiAllOnYourFace: Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

/u/singularperturbation: Uncertainty in Deep Learning

Besides that, there are no rules, have fun.

Ever since hetzner started selling out of their 1080 servers I’ve been looking for a good deal for some dedicated servers with GPUs in them. I picked up a couple of Nocix’s RTX 2070 servers which come with a i7 6700k, 32gb of DDR4 ram, two 480gb SATA SSD on a gigabit port with 100tb of transfer included. Setup was a breeze, I got login credentials within 10 minutes of ordering through their automated OS loading system. Pretty amazing deal on such new hardware. I am extremely happy. They are still in stock here: https://www.nocix.net/cart/?id=338

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Just wanted to make this post since people have been asking about good and low cost GPU hosts

I am trying to learn an agent to solve a problem of 2ⁿ states and n actions where n~= 15000. I am using a DQN. Roughly 99.9% of actions return to the same state and only m of them change it, they essentially do a bit flip on the state. Each episode can last up to m state changes. Do you guys have any suggestions on what I should read to make my life easier with this problem?

What do you recommend for image annotation? I’m looking for a web-based interface to let non-technical users (MDs) annotate X-rays for image segmentation.

They should then be exportable to COCO format.

Best I found so far is this, but meh: http://labelme.csail.mit.edu/Release3.0/

I released BERT and XLNET for Malay language, trained on around 1.2GB of data (public news, twitter, instagram, wikipedia and parliament text), and do some comparison among it. So it is really good on both social media and native context, I believe it also good for Bahasa Indonesia, in Wikipedia, we share a lot of similar context and assimilation with Indonesian text. And we know BERT released Multilanguage model, size around 714MB, which is so great but too heavy on some low cost development.

BERT-Bahasa, you can read more at here, https://github.com/huseinzol05/Malaya/tree/master/bert 2 models for BERT-Bahasa,

1. Vocab size 40k, Case Sensitive, Train on 1.21GB dataset, BASE size (467MB).
2. Vocab size 40k, Case Sensitive, Train on 1.21GB dataset, SMALL size (184MB).

XLNET-Bahasa, you can read more at here, https://github.com/huseinzol05/Malaya/tree/master/xlnet 1 model for XLNET-Bahasa, 1. Vocab size 32k, Case Sensitive, Train on 1.21GB dataset, BASE size (878MB).

All comparison studies inside both README pages, comparison for abstractive summarization and neural machine translation are on the way, and XLNET-Bahasa SMALL is on training.

Hi, i am newbie here, what is most usable PC hardware spec to study machine learning?

My current PC is very old (AMD kaveri A8-7600), so i am about to buy new one.

Thanks!

Adversarial noise/examples that produce the desired output across different models – does it exist and if not is it within the realm of possibility? Is it wrong to think that models that do X might be susceptible to noise in the form of Y? This can easily be tested empirically but is there any existing theory that suggests one way or the other?

Edit:

I should have put the title as ‘Is anyone interesting in paying for or doing small machine learning tasks for small dividends.

People are asking for prices. I didn’t include information about myself but I wanted to make this a general posting. But for me, I pay 5-30$ per task. I’ve been mostly paying for Python programming tasks so far.

In my projects I get stuck at times, and while I eventually get unsuck, it still adds time and friction to my projects. Stuff like setting up new tools, pipelines, deployment, frameworks, programming, etc.

I have been using /r/slavelabour and /r/ProgrammingTasks to get help time to time, but since I am doing ML projects, I am wondering if there any people here who would be up for that.