This article aims to provide a brief introductory overview of some of the techniques used for Human Pose Estimation using Deep Learning:

https://medium.com/beyondminds/an-overview-of-human-pose-estimation-with-deep-learning-d49eb656739b?source=friends_link&sk=49567cc8c2d453094defad0e2fe6dc67

​

I would love to hear your thoughts and feedback regarding the same, thanks!

Suppose I have handwritten graph of some function, and what I want is to have some ML algorithm that find some simple function (in form of a string like “f(x) = 2 cos(x) + log(x)^2”) that fit my graph as well as possible. I tried to make something like this myself and find out that this task is surprisingly difficult, unless the function is trivial. Although I’m not a researcher, so maybe I just have lack of knowledge to crack this problem. I wonder if there any research papers relative to simiar problems. Or any suggestions how to approach this will be helpful as well.

Any ideas on how to filter “good” samples from GAN/VAE synthesized samples?

https://forms.gle/qSjRNvWqe5GdAQZa9

​

I’d really appreciate it if as many people as possible took some time out to fill out the survey for our algorithm, thank you so much!

I’m thinking about creating a sequence-to-sequence model that:

​

• Input: sentence / paragraphs
  • My favourite animal is my cat.

​

• Output: the same text with some simple markup
  • My favourite {1::animal} is my {2::cat}.

​

This is essentially a tool to create semantically meaningful cloze deletions.

I’m thinking about taking GPT2 or BERT as pre-trained lang. models. I’m bit worried that I need to take these very complex models and essentially force them to be able to perform a (nearly complete) identity transformation.

​

Does anybody have any pointers / tutorials where to start?

​

Thank you in any case!

I’d like to spread the word about /r/compmathneuro, a subreddit dedicated to computational and mathematical neuroscience, and its associated discord. We’re a small but relatively active community of researchers whose expertise ranges from undergrads to postdocs. We recently created a discord in preparation for the monthly journal clubs we’re planning to start soon, where participants are encouraged to contribute papers they’d like to discuss with others in VC. Anyone is welcome to join both the subreddit (https://reddit.com/r/compmathneuro) and the discord (https://discord.gg/aFVEW2N), but please note that we’d like to uphold our current content standards and thus largely object to pop sci articles and TED-esque videos. Curious laymen are nonetheless welcome, of course.

Based on your experience, do you think time-series embeddings can be useful, similar to how image embeddings are really useful?

I know about TimeNet embeddings and the concept seems fine, but since they haven’t released their embeddings, I can’t simply test it off the shelf.

Has anyone experience of using such embeddings?

Hi!

My paper recently got accepted in the Industrial Conference on Data Mining (ICDM) (not to be confused with the International Conference on Data Mining which is also ICDM). I was thrilled but some of my profs said that it is a bad conference while some others said it was good and still some others said that they had no idea.

I am totally confused. What do you all think? I need to know this because I have to apply for financial assistance from my Institute and they only provide said assistance if the conference is good.

Here’s the link to the conference: http://www.data-mining-forum.de/