Every year hundreds of papers are published on Machine learning/Deep Learning in various journals and conferences. Most of them are based on a single method to solve a problem while some might have methods cross-referencing. The current methods and models are limited in number when we restrict ourselves to selected research papers while some research papers do cross-reference other methods which are quite helpful and have a lot more application than alone. The question is how and where to find and learn different methods to solve a problem and learn about models from research papers.
In the graph each research paper is presented as one single method, for example, Autoencoder (AE), or separately, Autoencoder (AE) -> Encoder (ENCDR), Decoder (DCDR), That is, one model can consist of several elements that can be used separately.
The graph/visualization is created using the 3d-force-graph javascript library: https://github.com/vasturiano/3d-force-graph
Read The Medium Article For Details
Website: https://backronym.xyz/graph.html
Paper: https://arxiv.org/pdf/1908.01874v2.pdf
Asif Razzaq is the CEO of Marktechpost, LLC. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over a million monthly views, illustrating its popularity among audiences.
