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1

Yes, there's at least one: AGI Conferences. According to their website The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and ...


0

If doing a Master's is an option for you then you can continue your education from there by joining an AI program. That will be more oriented towards your interests, and your potential professors will be able to guide you more into it. In any case, there is an abundance of resources on the Internet nowadays, so you can learn almost anything you want from ...


3

Let me answer your questions one by one. Submit it to a conference Let's start with the optimistic case. Say your paper gets accepted! You can upload your preprint on arXiv with the "arXiv.org perpetual, non-exclusive license to distribute this article (Minimal rights required by arXiv.org)". It is a non-Creative Common License that does not provide any ...


1

I think you're looking for something like Comet.ml or IDSIA's sacred, but bear in mind that these tools can also be combined with code-hosting services such as Github.


5

The first reason described in nbro's answer can definitely be an important one; authors may have implemented their software using code that they can't share. There's a lot of research coming out of companies (large and small), and they may use all sorts of proprietary libraries that were built in the company and cannot be distributed outside. As described in ...


5

Someone can argue to some human adequate reasons, but there is a bad trend of falsified results in deep learning research papers that propose some nowel solutions or even update state-of-the-art model performance. And that's not just a few papers that lie, it's a large portion of them. And the reason for that is even more sad - most of so-called deep ...


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The paper's authors needed to implement their models anyway in order to conduct their experimentations, so why not publish the implementation? Some papers and authors actually provide a link to their own implementation, but most of the papers (that I have read) don't provide it, although some third-party implementations may already be available on Github (...


2

Based on past publications, here are some journals and conferences where you can possibly publish or present a research paper on geometric deep learning or graph neural networks Neural Information Processing Systems (NIPS) International Conference on Learning Representations (ICLR) Conference on Computer Vision and Pattern Recognition (CVPR) International ...


1

Probably to as many as possible. Average accept rate of papers is around 20%. You can find the best conferences on AI & ML Event.


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