Paper ID | MLSP-L4.2 |
Paper Title |
WIND: WASSERSTEIN INCEPTION DISTANCE FOR EVALUATING GENERATIVE ADVERSARIAL NETWORK PERFORMANCE |
Authors |
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou, University of Ioannina, Greece |
Session | MLSP-L4: Generative Adversarial Networks |
Location | On-Demand |
Session Time: | Thursday, 07 May, 11:30 - 13:30 |
Presentation Time: | Thursday, 07 May, 11:50 - 12:10 |
Presentation |
Lecture
|
Topic |
Machine Learning: [MLR-DEEP] Deep learning techniques |
IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
Virtual Presentation |
Click here to watch in the Virtual Conference |