Posts

Showing posts from May, 2021

Scientific review

 I chose the paper Generative Adversarial Networks[1] from Ian Goodfellow, which I am going to evaluate how good the paper is. I am going to use the IJCAI review template to asses the quality of this paper. Relevance – Is the paper fully within the scope of the conference? Will the questions and results of the paper be of interest to researchers in the field? This paper has demonstrated the viability of the adversarial modeling framework, suggesting that these research directions could prove useful. It opens up quite a few paths, as a lot of problems have a limited data set, so now it would be possible to enrich synthetically those data sets. Significance – Is this a significant advance in the state of the art? Is this a paper that people are likely to read and cite? Does the paper address an important problem? Does it open new research directions? Is it a paper that is likely to have a lasting impact? This is a significant advance in the state of the art and shows a novel idea. As it