The conference fosters the exchange of research on the theoretical, technological, biological, and mathematical aspects of neural information processing systems. ML@GT research spans all of the categories, including work on neural data, fairness in machine learning algorithms, and teaching artificial intelligence to work in changing environments.

“NeurIPS continues to be an exciting conference to attend because of the diverse research that is being presented each year. It is one of the most sought-after and anticipated conferences every year, and it’s good to see ML@GT have a good variety of papers being accepted,” said Tuo Zhao, an assistant professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE). Zhao has three accepted papers.

NeurIPS also continues to be a hotspot for major technology companies like Google, Microsoft, Facebook and to recruit new talent. 

To see a full list and recaps of ML@GT’s accepted papers click here.