Rich Zemel

8 papers and 3.8k indexed citations i.

Rich Zemel has authored 8 papers that have received a total of 3.8k indexed citations. This includes 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning and Data Classification (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Rich Zemel is often cited by papers focused on Machine Learning and Data Classification (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Rich Zemel's co-authors include Kevin Swersky, Jasper Snoek, Ryan Kiros, Ryan P. Adams and Liam Stewart and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Machine Learning Research