| 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 |