1 vote

As a intermediate in Deep Learning, from which research paper should I start reading from?

There is no "beginning" with research papers. Papers are published as they are ready, in no particular order with respect to complexity or topic. I think you just have to jump in. Pick ...
  • 81
1 vote

As a intermediate in Deep Learning, from which research paper should I start reading from?

At your stage, I don't think jumping straight into reading research papers would be efficient. Generally, reading textbooks/review-articles, or simply watch a couple introductory youtube courses would ...
  • 321
1 vote
Accepted

How do I implement the 'gradient clipping' in the Neural Replicator Dynamics paper?

An implementation of the 'gradient clipping' can be found in DeepMind's own OpenSpiel. https://github.com/deepmind/open_spiel/blob/master/open_spiel/python/algorithms/neurd.py
1 vote
Accepted

Is it common that an applied deep learning research paper does not disclose any raw data and source code?

Many papers provide links to code, typically on GitHub.com. I have often found that even if the authors don't give a link, I can search the authors' names on GitHub and find a repository for the paper....
1 vote

How can I demonstrate a novel ML classification algorithm has value?

If you are gearing towards publishing, I would recommend the following. There are different ML journals and conferences. Pick what suits you. Conference publications are generally quick compared to ...
1 vote
Accepted

What algorithms are used in Artificial General Intelligence research?

No one has ever invented a practical AGI. However, there are different approaches to the creation of AGI: universalist (e.g. AIXI) symbolic sub-symbolic (e.g. neural networks) hybrid See also this ...
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