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awesome-deep-learning-papers's Issues

Can somebody help me to change the subsection titles?

I wanted to name, e.g., "Review / Survey" as a subsection title, but if I do that, the link in the table of contents loose the hyperlink. That's why I used ugly "Review Survey" instead of "Review / Survey"

Can somebody solve this issue? Thanks!

still updated?

Thanks for the great list / repository! But would it be possible to assign more Reviewers to make the updating of the list more regular?

found 3 dead links - here are working links

I found 3 dead links when running fetch_papers.py.

Here are working links for those 3 papers:

3D convolutional neural networks for human action recognition
https://pdfs.semanticscholar.org/3c86/dfdbdf37060d5adcff6c4d7d453ea5a8b08f.pdf

End-to-end training of deep visuomotor policies
https://arxiv.org/pdf/1504.00702.pdf

Mastering the game of Go with deep neural networks and tree search
https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf

Thanks for the great list / repository!

Addition into papers worth reading section

I believe, [http://arxiv.org/pdf/1411.2738v4.pdf](word2vec Parameter Learning Explained) by Xin Rong should be a part of Paper worth reading section. It has 23 citations and explained the word embedding learning process in an excellent way!

Source for citation numbers

Out of interest, where did you get the numbers for citations? Did you use any mechanism for discovering these papers, or was it purely your own knowledge?

Replace bullets by check boxes in README.

This should really help to keep a track of papers read so far. I would love to fork the repo and keep on checking the boxes in my local fork.

For example: Have a look at this section. People fork this repo and check the boxes as they finish reading each section.

UX

Can you please add more "information scent" to the links? A one sentence summary of the paper would be very helpful. Should make the repo a very interesting read :) Thanks!

Can anyone write a code for getting statistics for authors of top 100 papers?

As somebody knows, I deleted the "key researchers" section because some people complained it's unfair. But, since I think "key research" part is still useful information, I'd like reactive after providing reasonable statistics of them.

Are anyone interested in writing a code for getting the statistics of 100 papers' authors?

Add a *.bib file

That way many people could import the list into their library without hassle. The bib file should contain dois and url links to pdf files for open access papers.

On a second thought, it might be best to generate the list from the bib file automatically.

Bibtex library

Is there a bibtex library output? This would be very useful paper bibliographies and for uploading to paper-reading/-curation apps.

There are 2 dropout papers

Hi,

In section Optimization / Training Techniques, there are:

  • Dropout: A simple way to prevent neural networks from overfitting (2014)
  • Improving neural networks by preventing co-adaptation of feature detectors (2012)

Both papers have the same authors, and they both introduce dropout. However, the papers are 2 years apart and the content is not identical. Was the paper just republished after being edited by Bengio, or is there some story behind this? Is it helpful to have both on the page?

YOLO

Where is the state of the art YOLO algorithm for object detection?

fetch_papers.py not functioning ?

./fetch_papers.py: line 4: $'\nAuthor: doodhwala\nPython3 script to fetch the top 100 papers\n': command not found
./fetch_papers.py: line 8: directory: command not found
./fetch_papers.py: line 9: syntax error near unexpected token (' ./fetch_papers.py: line 9: if not os.path.exists(directory):'

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