Technical Program

Paper Detail

Paper IDMLSP-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
SessionMLSP-L4: Generative Adversarial Networks
LocationOn-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
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